<terragen
	name = "Project"
	gui_use_node_pos = "1"
	gui_node_pos = "660 -160 0"
	gui_group = ""
	written_by_program = "Terragen 2"
	written_by_version = "2.0.3.1"
	author = ""
	comments = ""
	current_frame = "1"
	start_frame = "1"
	end_frame = "100"
	gui_network_view_position = "75.37647212 -59.46189172 0"
	gui_network_view_size = "519 308 0"
	gui_network_view_zoom = "0.1226022726"
	>
	<camera
		name = "Render Camera"
		gui_use_node_pos = "1"
		gui_node_pos = "-420 2120 0"
		gui_group = "Cameras"
		light_exposure = "1"
		motion_blur_length = "0.5"
		position = "19.43257223 -1.967767458 -12.7321452"
		rotation = "4.976043219 27.52169217 0"
		perspective = "1"
		use_horizontal_fov = "1"
		horizontal_fov = "59.99999999"
		use_vertical_fov = "0"
		vertical_fov = "42.10344887"
		orthographic = "0"
		use_ortho_width = "1"
		ortho_width = "1000"
		use_ortho_height = "0"
		ortho_height = "1000"
		import_filename = ""
		import_Z_up = "0"
		>
	</camera>
	<render
		name = "Full Render"
		gui_use_node_pos = "1"
		gui_node_pos = "500 1900 0"
		gui_group = "Renderers"
		master = "1"
		image_width = "1200"
		lock_aspect_ratio = "1"
		image_height = "900"
		image_aspect_ratio = "1.333333333"
		pixel_aspect_ratio = "1"
		camera = "Render Camera"
		surfaces_visible = "1"
		atmosphere_visible = "1"
		do_shadows = "1"
		detail = "0.6"
		anti-aliasing = "4"
		GI_relative_detail = "1"
		GI_sample_quality = "1"
		GI_blur_radius = "8"
		supersample_prepass = "0"
		GI_surface_details = "0"
		do_crop_region = "0"
		crop_left = "0.4402137876"
		crop_right = "0.821239108"
		crop_bottom = "0.6721633416"
		crop_top = "1"
		crop_to_object = "0"
		crop_object_name = ""
		pixel_filter = "2"
		anti-aliasing_bloom = "1"
		detail_blending = "0"
		displacement_filter = "1"
		microvertex_jittering = "1"
		detail_jittering = "1"
		do_reverse_primary_rays = "0"
		reverse_primary_rays_multiplier = "1"
		fix_holes = "1"
		do_ray_traced_shadows = "1"
		ray_trace_everything = "0"
		soft_clip_effect = "1"
		soft_clip_softness = "1"
		compensate_soft_clip = "1"
		contrast = "1"
		contrast_adjust = "0.25"
		gamma_correction = "2.2"
		minimum_threads = "1"
		maximum_threads = "16"
		size_of_subdiv_cache_in_Mb = "400"
		preallocate_subdiv_cache = "0"
		ray_detail_region = "1"
		ray_detail_region_padding = "0"
		output_image_filename = "C:/temp.%04d.bmp"
		extra_output_images = "1"
		extra_output_image_filename = "C:/temp.IMAGETYPE.%04d.bmp"
		micro_exporter = "0"
		micro_exporter_name = ""
		sequence_first = "1"
		sequence_last = "100"
		sequence_step = "1"
		>
	</render>
	<render
		name = "Quick Render"
		gui_use_node_pos = "1"
		gui_node_pos = "500 1840 0"
		gui_group = "Renderers"
		master = "0"
		image_width = "320"
		lock_aspect_ratio = "0"
		image_height = "240"
		image_aspect_ratio = "1.33333"
		pixel_aspect_ratio = "1"
		camera = "Render Camera"
		surfaces_visible = "1"
		atmosphere_visible = "1"
		do_shadows = "1"
		detail = "0.25"
		anti-aliasing = "3"
		GI_relative_detail = "2"
		GI_sample_quality = "2"
		GI_blur_radius = "8"
		supersample_prepass = "0"
		GI_surface_details = "0"
		do_crop_region = "0"
		crop_left = "0"
		crop_right = "1"
		crop_bottom = "0"
		crop_top = "1"
		crop_to_object = "0"
		crop_object_name = ""
		pixel_filter = "2"
		anti-aliasing_bloom = "0"
		detail_blending = "0"
		displacement_filter = "1"
		microvertex_jittering = "1"
		detail_jittering = "1"
		do_reverse_primary_rays = "0"
		reverse_primary_rays_multiplier = "1"
		fix_holes = "1"
		do_ray_traced_shadows = "1"
		ray_trace_everything = "0"
		soft_clip_effect = "1"
		soft_clip_softness = "1"
		compensate_soft_clip = "1"
		contrast = "1"
		contrast_adjust = "0.25"
		gamma_correction = "2.2"
		minimum_threads = "1"
		maximum_threads = "16"
		size_of_subdiv_cache_in_Mb = "400"
		preallocate_subdiv_cache = "0"
		ray_detail_region = "1"
		ray_detail_region_padding = "0"
		output_image_filename = "C:/temp.%04d.bmp"
		extra_output_images = "1"
		extra_output_image_filename = "C:/temp.IMAGETYPE.%04d.bmp"
		micro_exporter = "0"
		micro_exporter_name = ""
		sequence_first = "1"
		sequence_last = "100"
		sequence_step = "1"
		>
	</render>
	<enviro_light
		name = "Enviro light"
		gui_use_node_pos = "1"
		gui_node_pos = "320 60 0"
		gui_group = "Lighting"
		enable = "1"
		mode = "1"
		ambient_strength_on_surfaces = "1"
		ambient_colour_on_surfaces = "0.6499999762 0.8000000119 1"
		ambient_strength_in_atmosphere = "1"
		ambient_colour_in_atmosphere = "0.6499999762 0.8000000119 1"
		global_strength_on_surfaces = "1"
		global_tint_on_surfaces = "1 1 1"
		global_strength_in_atmosphere = "1"
		global_tint_in_atmosphere = "1 1 1"
		strength_on_surfaces = "1"
		colour_on_surfaces = "1 1 1"
		strength_in_atmosphere = "1"
		colour_in_atmosphere = "1 1 1"
		>
	</enviro_light>
	<cloud_fractal_shader_v3
		name = "Density fractal 02"
		gui_use_node_pos = "1"
		gui_node_pos = "200 460 0"
		gui_group = "Atmosphere"
		enable = "1"
		input_node = ""
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		seed = "61853"
		feature_scale = "850"
		lead-in_scale = "20000"
		smallest_scale = "10"
		noise_octaves = "13"
		apply_high_colour = "1"
		high_colour = "1 1 1"
		apply_low_colour = "0"
		low_colour = "0 0 0"
		contrast = "1"
		coverage_adjust = "0"
		roughness = "1.75"
		clamp_high = "0"
		clamp_low = "0"
		apply_displacement = "0"
		displacement_direction = "1"
		displacement_amplitude = "1"
		displacement_offset = "0"
		displacement_roughness = "1"
		displacement_spike_limit = "1"
		continue_spike_limit = "0"
		adjust_coastline = "0"
		coastline_altitude = "0"
		coastline_smoothing = "30"
		noise_flavour = "1"
		noise_variation = "1"
		variation_method = "2"
		buoyancy_from_variation = "0.5"
		clumping_of_variation = "0.25"
		noise_stretch_XYZ = "1 1 1"
		distort_by_normal = "0"
		distortion_by_normal = "5"
		lead-in_warp_effect = "1"
		lead-in_warp_amount = "0.5"
		less_warp_at_feature_scale = "1"
		allow_vertical_warp = "1"
		blend_by_shader = "0"
		blending_shader = ""
		fit_blendshader_to_this = "0"
		invert_blendshader = "0"
		>
	</cloud_fractal_shader_v3>
	<sphere
		name = "Background"
		gui_use_node_pos = "1"
		gui_node_pos = "0 -60 0"
		gui_group = "Objects"
		enable = "1"
		show_b-box_in_preview = "0"
		visible_to_camera = "1"
		visible_to_other_rays = "1"
		cast_shadows = "0"
		centre = "0 0 0"
		radius = "-200000000"
		rotate = "0 0 0"
		import_motion_filename = ""
		heading = "0"
		elevation = "0"
		distance = "0"
		surface_shader = "Background shader"
		displacement_tolerance = "1"
		>
		<constant_shader
			name = "Background shader"
			gui_use_node_pos = "1"
			gui_node_pos = "200 0 0"
			gui_group = ""
			enable = "1"
			input_node = ""
			gui_use_preview_patch_size = "0"
			gui_preview_patch_size = "1000 1000"
			colour = "0 0 0"
			alpha = "0 0 0"
			>
		</constant_shader>
	</sphere>
	<planet
		name = "Planet 01"
		gui_use_node_pos = "1"
		gui_node_pos = "0 120 0"
		gui_group = "Objects"
		enable = "1"
		show_b-box_in_preview = "0"
		render_surface = "1"
		render_atmosphere = "1"
		lat_long_at_apex = "0 0"
		centre = "0 -6378000 0"
		radius = "6378000"
		rotate = "0 0 0"
		import_motion_filename = ""
		heading = "0"
		elevation = "270"
		distance = "6378000"
		surface_shader = "stones surface"
		atmosphere_shader = "Altocumulus layer 01"
		displacement_tolerance = "1"
		>
	</planet>
	<planet_atmosphere
		name = "Atmosphere 01"
		gui_use_node_pos = "1"
		gui_node_pos = "0 640 0"
		gui_group = "Atmosphere"
		enable = "1"
		input_node = ""
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		enable_primary = "1"
		enable_secondary = "1"
		centre = "0 -6378000 0"
		radius = "6378000"
		seed = "0"
		haze_density = "1.5"
		haze_horizon_colour = "0.349999994 0.349999994 0.349999994"
		bluesky_density = "2"
		bluesky_horizon_colour = "0.224999994 0.3585940003 0.4499999881"
		bluesky_additive = "0.9"
		bluesky_additive_colour = "0.05000000075 0.270938009 1"
		redsky_decay = "2"
		haze_exp_height = "3000"
		bluesky_exp_height = "8000"
		ceiling_adjust = "7"
		ceiling = "56000"
		floor = "-16000"
		haze_glow_amount = "1"
		haze_glow_power = "1.25"
		bluesky_glow_amount = "0.25"
		bluesky_glow_power = "0.75"
		enviro_light = "0.5"
		enviro_light_tint = "1 1 1"
		ambient = "0 0 0"
		fake_dark_power = "0"
		fake_dark_sharpness = "10"
		bluesky_density_colour = "0.1000000015 0.3400000036 1"
		redsky_decay_colour = "0.9048374295 0.7117702961 0.3678794503"
		improved_glow_model = "1"
		number_of_samples = "16"
		adjust_to_distance = "1"
		sample_jitter = "1"
		enable_ray_traced_shadows = "0"
		>
	</planet_atmosphere>
	<power_fractal_shader_v3
		name = "Base colours"
		gui_use_node_pos = "1"
		gui_node_pos = "-1100 520 0"
		gui_group = "Shaders"
		enable = "1"
		input_node = "Compute Terrain"
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		seed = "8028"
		feature_scale = "1"
		lead-in_scale = "1000"
		smallest_scale = "0.1"
		noise_octaves = "15"
		apply_high_colour = "1"
		high_colour = "0.1193000004 0.09869000316 0.07806000113"
		apply_low_colour = "1"
		low_colour = "0 0 0"
		colour_contrast = "0.4"
		colour_offset = "0"
		colour_roughness = "5"
		clamp_high_colour = "1"
		clamp_low_colour = "1"
		apply_displacement = "0"
		displacement_direction = "1"
		displacement_amplitude = "1"
		displacement_offset = "0"
		displacement_roughness = "1"
		displacement_spike_limit = "1"
		continue_spike_limit = "0"
		adjust_coastline = "0"
		coastline_altitude = "0"
		coastline_smoothing = "30"
		noise_flavour = "0"
		noise_variation = "1"
		variation_method = "2"
		buoyancy_from_variation = "0"
		clumping_of_variation = "0"
		noise_stretch_XYZ = "1 1 1"
		distort_by_normal = "1"
		distortion_by_normal = "5"
		lead-in_warp_effect = "1"
		lead-in_warp_amount = "0.5"
		less_warp_at_feature_scale = "0"
		allow_vertical_warp = "0"
		blend_by_shader = "0"
		blending_shader = ""
		fit_blendshader_to_this = "0"
		invert_blendshader = "0"
		>
	</power_fractal_shader_v3>
	<power_fractal_shader_v3
		name = "waterfall  height = displacement"
		gui_use_node_pos = "1"
		gui_node_pos = "-1040 1500 0"
		gui_group = ""
		enable = "1"
		input_node = "terrain fractal 48420"
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		seed = "53989"
		feature_scale = "100"
		lead-in_scale = "100"
		smallest_scale = "100"
		noise_octaves = "2"
		apply_high_colour = "0"
		high_colour = "1 1 1"
		apply_low_colour = "0"
		low_colour = "0 0 0"
		colour_contrast = "0.5"
		colour_offset = "-2"
		colour_roughness = "0"
		clamp_high_colour = "1"
		clamp_low_colour = "1"
		apply_displacement = "1"
		displacement_direction = "1"
		displacement_amplitude = "-20"
		displacement_offset = "0"
		displacement_roughness = "0"
		displacement_spike_limit = "1"
		continue_spike_limit = "1"
		adjust_coastline = "0"
		coastline_altitude = "0"
		coastline_smoothing = "30"
		noise_flavour = "0"
		noise_variation = "1"
		variation_method = "2"
		buoyancy_from_variation = "0.25"
		clumping_of_variation = "0.25"
		noise_stretch_XYZ = "1 1 1"
		distort_by_normal = "0"
		distortion_by_normal = "5"
		lead-in_warp_effect = "0"
		lead-in_warp_amount = "0.5"
		less_warp_at_feature_scale = "0"
		allow_vertical_warp = "0"
		blend_by_shader = "1"
		blending_shader = "Painted waterfall ridge"
		fit_blendshader_to_this = "1"
		invert_blendshader = "0"
		>
	</power_fractal_shader_v3>
	<water_shader
		name = "Water shader 02"
		gui_use_node_pos = "1"
		gui_node_pos = "340 1120 0"
		gui_group = "Water"
		enable = "1"
		input_node = ""
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		roughness = "0.03"
		wave_scale = "2"
		smallest_scale = "0.1"
		wind_patch_effect = "1"
		wind_patch_size = "100"
		wind_patch_sharpness = "5"
		master_reflectivity = "1"
		index_of_refraction = "1.33"
		horizon_shift = "0.5"
		highlight_intensity = "1"
		min_highlight_spread = "0.01"
		transparency = "0.75"
		decay_distance = "0.5"
		decay_tint = "0.75 1 0.5"
		volume_1_density = "0"
		volume_1_colour = "0.5 0.5 0.5"
		volume_1_density_function = ""
		volume_1_colour_function = ""
		seed = "21157"
		>
	</water_shader>
	<compute_terrain
		name = "Compute Terrain"
		gui_use_node_pos = "1"
		gui_node_pos = "-1000 880 0"
		gui_group = "Terrain"
		enable = "1"
		input_node = "small displ where no river"
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		gradient_patch_size = "20"
		smooth_surface = "0"
		>
	</compute_terrain>
	<group
		name = "Objects"
		gui_use_node_pos = "1"
		gui_node_pos = "0 -20 0"
		gui_group = ""
		gui_node_size = "240 440 1"
		gui_node_colour = "0.8000000119 0.8000000119 0.8000000119"
		special_group = "1"
		global_bookmark = "1"
		>
	</group>
	<group
		name = "Terrain"
		gui_use_node_pos = "1"
		gui_node_pos = "-770 1362 0"
		gui_group = ""
		gui_node_size = "740.9095287 687.8902965 1"
		gui_node_colour = "0.2119999975 0.5174000263 0.1138999984"
		special_group = "2"
		global_bookmark = "1"
		>
	</group>
	<group
		name = "Shaders"
		gui_use_node_pos = "1"
		gui_node_pos = "-791 386 0"
		gui_group = ""
		gui_node_size = "801.1489822 400 1"
		gui_node_colour = "0.7968999743 0.1604000032 0.1604000032"
		special_group = "3"
		global_bookmark = "1"
		>
	</group>
	<group
		name = "Water"
		gui_use_node_pos = "1"
		gui_node_pos = "276 1020 0"
		gui_group = ""
		gui_node_size = "907.509645 360 1"
		gui_node_colour = "0.1000000015 0.5 0.349999994"
		special_group = "4"
		global_bookmark = "1"
		>
	</group>
	<group
		name = "Atmosphere"
		gui_use_node_pos = "1"
		gui_node_pos = "200 530 0"
		gui_group = ""
		gui_node_size = "640 400 1"
		gui_node_colour = "0.2310000062 0.3203999996 1"
		special_group = "5"
		global_bookmark = "1"
		>
	</group>
	<group
		name = "Lighting"
		gui_use_node_pos = "1"
		gui_node_pos = "320 -50 0"
		gui_group = ""
		gui_node_size = "240 380 1"
		gui_node_colour = "1 0.7299000025 0.2195000052"
		special_group = "6"
		global_bookmark = "1"
		>
	</group>
	<group
		name = "Cameras"
		gui_use_node_pos = "1"
		gui_node_pos = "-421 2080 0"
		gui_group = ""
		gui_node_size = "240 320 1"
		gui_node_colour = "0.3021000028 0.2673999965 0.4647000134"
		special_group = "7"
		global_bookmark = "1"
		>
	</group>
	<group
		name = "Renderers"
		gui_use_node_pos = "1"
		gui_node_pos = "497 1928 0"
		gui_group = ""
		gui_node_size = "240 320 1"
		gui_node_colour = "0.7372000217 0.3440000117 0.2119999975"
		special_group = "8"
		global_bookmark = "1"
		>
	</group>
	<displacement_shader
		name = "riverbed down"
		gui_use_node_pos = "1"
		gui_node_pos = "-1000 1340 0"
		gui_group = "Terrain"
		enable = "1"
		input_node = "waterfall  height = displacement"
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		function = "Painted riverbed"
		displacement_direction = "1"
		displacement_multiplier = "-1.2"
		>
	</displacement_shader>
	<distribution_shader_v4
		name = "Distribution stones"
		gui_use_node_pos = "1"
		gui_node_pos = "-300 720 0"
		gui_group = ""
		enable = "1"
		input_node = ""
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		colour = "1 1 1"
		child_layers = ""
		coverage = "1"
		fractal_breakup = "0"
		breakup_shader = ""
		fractal_contrast = "0.5"
		invert_breakup = "0"
		blend_by_shader = "0"
		blending_shader = ""
		invert_blendshader = "0"
		blend_as_coverage = "1"
		limit_maximum_altitude = "0"
		maximum_altitude = "1000"
		max_alt_fuzzy_zone = "200"
		limit_minimum_altitude = "0"
		minimum_altitude = "200"
		min_alt_fuzzy_zone = "200"
		use_Y_for_altitude = "0"
		altitude_key = "1"
		limit_maximum_slope = "1"
		maximum_slope_angle = "35"
		max_slope_fuzzy_zone = "20"
		limit_minimum_slope = "0"
		minimum_slope_angle = "30"
		min_slope_fuzzy_zone = "10"
		use_Y_for_slope = "0"
		slope_key = "0"
		fuzzy_zone_softness = "1"
		>
	</distribution_shader_v4>
	<merge_shader
		name = "Merge shader 01"
		gui_use_node_pos = "1"
		gui_node_pos = "-700 520 0"
		gui_group = ""
		enable = "1"
		input_node = "Fake stones overall"
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		shader_A = "river stones "
		mix_to_A = "0.5"
		mix_controller = ""
		choose_by_altitude = "1"
		merge_colour = "1"
		colour_merge_mode = "0"
		merge_displacement = "1"
		displace_merge_mode = "0"
		>
	</merge_shader>
	<surface_layer
		name = "stones surface"
		gui_use_node_pos = "1"
		gui_node_pos = "-580 240 0"
		gui_group = ""
		enable = "1"
		input_node = "Surface layer 03"
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		apply_colour = "0"
		diffuse_colour = "0.5 0.5 0.5"
		colour_function = ""
		enable_test_colour = "0"
		test_colour = "1 0 1"
		luminous = "0"
		luminosity_multiplier = "1"
		luminosity_tint = "1 1 1"
		luminosity_function = ""
		displacement_direction = "1"
		displacement_multiplier = "1"
		displacement_function = ""
		displacement_offset = "0"
		smoothing_effect = "0"
		smoothing_amount = "1"
		child_layers = "Merge shader 01_1"
		coverage = "1"
		fractal_breakup = "0"
		breakup_shader = ""
		fractal_contrast = "0.5"
		invert_breakup = "0"
		only_breakup_colour = "1"
		blend_by_shader = "0"
		blending_shader = "Distribution stones"
		invert_blendshader = "0"
		blend_as_coverage = "1"
		limit_maximum_altitude = "0"
		maximum_altitude = "1000"
		max_alt_fuzzy_zone = "200"
		limit_minimum_altitude = "0"
		minimum_altitude = "200"
		min_alt_fuzzy_zone = "200"
		use_Y_for_altitude = "0"
		limit_maximum_slope = "0"
		maximum_slope_angle = "90"
		max_slope_fuzzy_zone = "20"
		limit_minimum_slope = "0"
		minimum_slope_angle = "30"
		min_slope_fuzzy_zone = "10"
		use_Y_for_slope = "0"
		slope_key = "0"
		intersect_underlying = "0"
		intersection_mode = "0"
		intersection_zone = "2"
		smoothing_scale = "0"
		intersection_shift = "2"
		min_intersection_shift = "-2"
		fuzzy_zone_softness = "1"
		>
	</surface_layer>
	<lake
		name = "Lake 02"
		gui_use_node_pos = "1"
		gui_node_pos = "140 880 0"
		gui_group = "Water"
		enable = "1"
		handle_in_preview = "1"
		visible_to_camera = "1"
		visible_to_other_rays = "1"
		cast_shadows = "0"
		water_level = "0.5"
		centre = "23.60022239 0.4999555172 -3.234004301"
		max_radius = "150"
		rotate = "0 0 0"
		import_motion_filename = ""
		planet = "Planet 01"
		surface_shader = "horizontal foam"
		displacement_tolerance = "0.5"
		>
	</lake>
	<surface_layer
		name = "Surface layer 02"
		gui_use_node_pos = "1"
		gui_node_pos = "160 1020 0"
		gui_group = ""
		enable = "1"
		input_node = "Default shader 01"
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		apply_colour = "0"
		diffuse_colour = "0.5 0.5 0.5"
		colour_function = ""
		enable_test_colour = "0"
		test_colour = "1 0 1"
		luminous = "0"
		luminosity_multiplier = "1"
		luminosity_tint = "1 1 1"
		luminosity_function = ""
		displacement_direction = "1"
		displacement_multiplier = "0"
		displacement_function = "Painted waterfall ridge"
		displacement_offset = "-0.7"
		smoothing_effect = "0"
		smoothing_amount = "0.1"
		child_layers = "Water shader 02"
		coverage = "1"
		fractal_breakup = "0"
		breakup_shader = ""
		fractal_contrast = "0.5"
		invert_breakup = "0"
		only_breakup_colour = "1"
		blend_by_shader = "0"
		blending_shader = ""
		invert_blendshader = "0"
		blend_as_coverage = "1"
		limit_maximum_altitude = "0"
		maximum_altitude = "1000"
		max_alt_fuzzy_zone = "200"
		limit_minimum_altitude = "0"
		minimum_altitude = "200"
		min_alt_fuzzy_zone = "200"
		use_Y_for_altitude = "0"
		limit_maximum_slope = "0"
		maximum_slope_angle = "60"
		max_slope_fuzzy_zone = "20"
		limit_minimum_slope = "0"
		minimum_slope_angle = "30"
		min_slope_fuzzy_zone = "10"
		use_Y_for_slope = "0"
		slope_key = "0"
		intersect_underlying = "0"
		intersection_mode = "0"
		intersection_zone = "2"
		smoothing_scale = "0"
		intersection_shift = "2"
		min_intersection_shift = "-2"
		fuzzy_zone_softness = "1"
		>
	</surface_layer>
	<default_shader
		name = "Default shader 01"
		gui_use_node_pos = "1"
		gui_node_pos = "60 1120 0"
		gui_group = ""
		enable = "1"
		input_node = "waterfall  height = displacement"
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		diffuse_colour = "0 0 0"
		colour_image = ""
		colour_function = ""
		translucency = "0 0 0"
		translucency_image = ""
		translucency_function = ""
		luminosity = "0 0 0"
		luminosity_image = ""
		luminosity_function = ""
		reflectivity = "0 0 0"
		reflection_tint = "1 1 1"
		index_of_refraction = "1.5"
		specular_roughness = "0.2"
		displacement_direction = "1"
		displacement_multiplier = "0.01"
		displacement_image = ""
		displacement_function = ""
		displacement_offset = "0"
		opacity = "1 1 1"
		opacity_image = ""
		use_alpha_channel = "0"
		invert_opacity_image = "0"
		opacity_function = "Painted riverbed"
		alpha_from_colour = "0"
		alpha_key = "0 0 0"
		key_tolerance = "0.1"
		image_projection = "4"
		projection_camera = ""
		unpremultiply_colour = "1"
		unpremultiply_translucency = "0"
		unpremultiply_luminosity = "0"
		>
	</default_shader>
	<power_fractal_shader_v3
		name = "terrain fractal 48420"
		gui_use_node_pos = "1"
		gui_node_pos = "-1040 1580 0"
		gui_group = ""
		enable = "1"
		input_node = ""
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		seed = "61188"
		feature_scale = "100"
		lead-in_scale = "10000"
		smallest_scale = "0.349253"
		noise_octaves = "17"
		apply_high_colour = "1"
		high_colour = "1 1 1"
		apply_low_colour = "1"
		low_colour = "0 0 0"
		colour_contrast = "0.5"
		colour_offset = "0"
		colour_roughness = "5"
		clamp_high_colour = "1"
		clamp_low_colour = "1"
		apply_displacement = "1"
		displacement_direction = "1"
		displacement_amplitude = "30"
		displacement_offset = "-5"
		displacement_roughness = "1"
		displacement_spike_limit = "1"
		continue_spike_limit = "1"
		adjust_coastline = "0"
		coastline_altitude = "0"
		coastline_smoothing = "30"
		noise_flavour = "3"
		noise_variation = "1"
		variation_method = "2"
		buoyancy_from_variation = "0.25"
		clumping_of_variation = "0.25"
		noise_stretch_XYZ = "1 1 1"
		distort_by_normal = "0"
		distortion_by_normal = "5"
		lead-in_warp_effect = "0"
		lead-in_warp_amount = "0.5"
		less_warp_at_feature_scale = "0"
		allow_vertical_warp = "0"
		blend_by_shader = "1"
		blending_shader = "Distance shader 01"
		fit_blendshader_to_this = "0"
		invert_blendshader = "0"
		>
	</power_fractal_shader_v3>
	<distance_shader
		name = "Distance shader 01"
		gui_use_node_pos = "1"
		gui_node_pos = "-880 1640 0"
		gui_group = ""
		enable = "1"
		input_node = ""
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		apply_far_colour = "1"
		far_colour = "1 1 1"
		apply_near_colour = "1"
		near_colour = "0 0 0"
		far_distance = "100"
		near_distance = "20"
		distance_mode = "0"
		camera = "Render Camera"
		clamp_far_colour = "1"
		clamp_near_colour = "1"
		>
	</distance_shader>
	<surface_layer
		name = "foam"
		gui_use_node_pos = "1"
		gui_node_pos = "360 960 0"
		gui_group = ""
		enable = "1"
		input_node = "Surface layer 02"
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		apply_colour = "1"
		diffuse_colour = "0.6999999881 0.6999999881 0.6999999881"
		colour_function = ""
		enable_test_colour = "0"
		test_colour = "1 0 1"
		luminous = "0"
		luminosity_multiplier = "1"
		luminosity_tint = "1 1 1"
		luminosity_function = ""
		displacement_direction = "1"
		displacement_multiplier = "1"
		displacement_function = ""
		displacement_offset = "0"
		smoothing_effect = "0"
		smoothing_amount = "1"
		child_layers = ""
		coverage = "0.5"
		fractal_breakup = "1"
		breakup_shader = "foam pattern"
		fractal_contrast = "2"
		invert_breakup = "0"
		only_breakup_colour = "1"
		blend_by_shader = "0"
		blending_shader = ""
		invert_blendshader = "0"
		blend_as_coverage = "1"
		limit_maximum_altitude = "0"
		maximum_altitude = "1000"
		max_alt_fuzzy_zone = "200"
		limit_minimum_altitude = "0"
		minimum_altitude = "200"
		min_alt_fuzzy_zone = "200"
		use_Y_for_altitude = "0"
		limit_maximum_slope = "0"
		maximum_slope_angle = "60"
		max_slope_fuzzy_zone = "20"
		limit_minimum_slope = "1"
		minimum_slope_angle = "10"
		min_slope_fuzzy_zone = "15"
		use_Y_for_slope = "0"
		slope_key = "0"
		intersect_underlying = "0"
		intersection_mode = "0"
		intersection_zone = "2"
		smoothing_scale = "0"
		intersection_shift = "2"
		min_intersection_shift = "-2"
		fuzzy_zone_softness = "1"
		>
	</surface_layer>
	<power_fractal_shader_v3
		name = "foam pattern"
		gui_use_node_pos = "1"
		gui_node_pos = "600 1060 0"
		gui_group = ""
		enable = "1"
		input_node = ""
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		seed = "2445"
		feature_scale = "0.3"
		lead-in_scale = "1"
		smallest_scale = "0.1"
		noise_octaves = "5"
		apply_high_colour = "1"
		high_colour = "1 1 1"
		apply_low_colour = "0"
		low_colour = "0 0 0"
		colour_contrast = "0.5"
		colour_offset = "-0.15"
		colour_roughness = "5"
		clamp_high_colour = "1"
		clamp_low_colour = "1"
		apply_displacement = "0"
		displacement_direction = "1"
		displacement_amplitude = "1"
		displacement_offset = "0"
		displacement_roughness = "1"
		displacement_spike_limit = "1"
		continue_spike_limit = "0"
		adjust_coastline = "0"
		coastline_altitude = "0"
		coastline_smoothing = "30"
		noise_flavour = "2"
		noise_variation = "1"
		variation_method = "2"
		buoyancy_from_variation = "0.25"
		clumping_of_variation = "0.25"
		noise_stretch_XYZ = "1 7 1"
		distort_by_normal = "0"
		distortion_by_normal = "5"
		lead-in_warp_effect = "0"
		lead-in_warp_amount = "0.2"
		less_warp_at_feature_scale = "0"
		allow_vertical_warp = "0"
		blend_by_shader = "0"
		blending_shader = ""
		fit_blendshader_to_this = "0"
		invert_blendshader = "0"
		>
	</power_fractal_shader_v3>
	<power_fractal_shader_v3
		name = "small displ where no river"
		gui_use_node_pos = "1"
		gui_node_pos = "-940 1160 0"
		gui_group = ""
		enable = "1"
		input_node = "riverbed down"
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		seed = "28772"
		feature_scale = "1"
		lead-in_scale = "3"
		smallest_scale = "0.1"
		noise_octaves = "6"
		apply_high_colour = "1"
		high_colour = "1 1 1"
		apply_low_colour = "0"
		low_colour = "0 0 0"
		colour_contrast = "0.5"
		colour_offset = "0"
		colour_roughness = "5"
		clamp_high_colour = "1"
		clamp_low_colour = "1"
		apply_displacement = "1"
		displacement_direction = "1"
		displacement_amplitude = "0.2"
		displacement_offset = "0"
		displacement_roughness = "1"
		displacement_spike_limit = "1"
		continue_spike_limit = "1"
		adjust_coastline = "0"
		coastline_altitude = "0"
		coastline_smoothing = "30"
		noise_flavour = "0"
		noise_variation = "1"
		variation_method = "2"
		buoyancy_from_variation = "0.25"
		clumping_of_variation = "0.25"
		noise_stretch_XYZ = "1 1 1"
		distort_by_normal = "0"
		distortion_by_normal = "5"
		lead-in_warp_effect = "0"
		lead-in_warp_amount = "0.5"
		less_warp_at_feature_scale = "0"
		allow_vertical_warp = "0"
		blend_by_shader = "1"
		blending_shader = "Painted riverbed"
		fit_blendshader_to_this = "1"
		invert_blendshader = "1"
		>
	</power_fractal_shader_v3>
	<painted_shader
		name = "Painted waterfall ridge"
		gui_use_node_pos = "1"
		gui_node_pos = "-600 1660 0"
		gui_group = ""
		enable = "1"
		input_node = ""
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		use_absolute_brush = "1"
		brush_size_in_metres = "20"
		use_view-relative_brush = "0"
		view-relative_brush_size = "0.1"
		brush_falloff = "1"
		flow = "0.25"
		colour = "1 1 1"
		projection = "1"
		coordinates = "0"
		translate = "0 0 0"
		>
		<custom>
			<blobs version="1" 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			<blobData version="1" numItems="21">+AEAAAAAAAB42mNgaLBnYGiwY4DQ6HhUfJiKAwBdPV3u</blobData>
			<strokeIndices version="1" numItems="21">VAAAAAAAAAB42g3DBw6AIBAAsFNQhgPX/99qmzQiYnI2mV1cLVab3c3dw9Ph5e3j6+cPGGQA0w==</strokeIndices>
		</custom>
	</painted_shader>
	<fake_stones_shader
		name = "Fake stones overall"
		gui_use_node_pos = "1"
		gui_node_pos = "-820 640 0"
		gui_group = ""
		enable = "1"
		input_node = ""
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		seed = "22"
		surface_shader = "rocks colors"
		stone_scale = "0.4"
		stone_density = "0.1"
		vary_density = "1"
		density_variation = "1"
		density_seed = "18115"
		density_variation_scale = "10"
		stone_tallness = "1"
		pancake_effect = "1.8"
		separate_geometry = "0"
		only_displace_upwards = "0"
		diffuse_colour = "1 1 1"
		colour_variation = "1"
		variation_in_red = "0.5"
		variation_in_green = "0.5"
		variation_in_blue = "0.5"
		blend_by_shader = "1"
		blending_shader = "Painted riverbed"
		fit_blendshader_to_this = "0"
		invert_blendshader = "0"
		blend_as_stone_density = "1"
		>
	</fake_stones_shader>
	<power_fractal_shader_v3
		name = "rocks colors"
		gui_use_node_pos = "1"
		gui_node_pos = "-820 760 0"
		gui_group = ""
		enable = "1"
		input_node = ""
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		seed = "21339"
		feature_scale = "0.1"
		lead-in_scale = "1"
		smallest_scale = "0.01"
		noise_octaves = "8"
		apply_high_colour = "1"
		high_colour = "0.224999994 0.2164357901 0.1838593036"
		apply_low_colour = "1"
		low_colour = "0.01250000019 0.01171199977 0.009492000565"
		colour_contrast = "0.8"
		colour_offset = "0"
		colour_roughness = "5"
		clamp_high_colour = "1"
		clamp_low_colour = "1"
		apply_displacement = "1"
		displacement_direction = "1"
		displacement_amplitude = "0.06"
		displacement_offset = "0"
		displacement_roughness = "1"
		displacement_spike_limit = "1"
		continue_spike_limit = "1"
		adjust_coastline = "0"
		coastline_altitude = "0"
		coastline_smoothing = "30"
		noise_flavour = "0"
		noise_variation = "1"
		variation_method = "2"
		buoyancy_from_variation = "0.25"
		clumping_of_variation = "0.25"
		noise_stretch_XYZ = "1 1 1"
		distort_by_normal = "0"
		distortion_by_normal = "5"
		lead-in_warp_effect = "0"
		lead-in_warp_amount = "0.5"
		less_warp_at_feature_scale = "0"
		allow_vertical_warp = "0"
		blend_by_shader = "0"
		blending_shader = ""
		fit_blendshader_to_this = "0"
		invert_blendshader = "0"
		>
	</power_fractal_shader_v3>
	<power_fractal_shader_v3
		name = "grass colors"
		gui_use_node_pos = "1"
		gui_node_pos = "-820 380 0"
		gui_group = ""
		enable = "1"
		input_node = ""
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		seed = "45446"
		feature_scale = "1"
		lead-in_scale = "100"
		smallest_scale = "0.1"
		noise_octaves = "12"
		apply_high_colour = "1"
		high_colour = "0.2378052771 0.256249994 0.08744778484"
		apply_low_colour = "1"
		low_colour = "0.0277600009 0.03026000038 0.01699000038"
		colour_contrast = "0.6125"
		colour_offset = "0"
		colour_roughness = "5"
		clamp_high_colour = "1"
		clamp_low_colour = "1"
		apply_displacement = "1"
		displacement_direction = "1"
		displacement_amplitude = "1"
		displacement_offset = "0"
		displacement_roughness = "1"
		displacement_spike_limit = "1"
		continue_spike_limit = "0"
		adjust_coastline = "0"
		coastline_altitude = "0"
		coastline_smoothing = "30"
		noise_flavour = "0"
		noise_variation = "1"
		variation_method = "2"
		buoyancy_from_variation = "0.25"
		clumping_of_variation = "0.25"
		noise_stretch_XYZ = "1 1 1"
		distort_by_normal = "0"
		distortion_by_normal = "5"
		lead-in_warp_effect = "0"
		lead-in_warp_amount = "0.5"
		less_warp_at_feature_scale = "0"
		allow_vertical_warp = "0"
		blend_by_shader = "0"
		blending_shader = ""
		fit_blendshader_to_this = "0"
		invert_blendshader = "0"
		>
	</power_fractal_shader_v3>
	<surface_layer
		name = "Surface layer 03"
		gui_use_node_pos = "1"
		gui_node_pos = "-780 260 0"
		gui_group = ""
		enable = "1"
		input_node = "soil colors"
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		apply_colour = "1"
		diffuse_colour = "0.5 0.5 0.5"
		colour_function = "grass colors"
		enable_test_colour = "0"
		test_colour = "1 0 1"
		luminous = "0"
		luminosity_multiplier = "1"
		luminosity_tint = "1 1 1"
		luminosity_function = ""
		displacement_direction = "0"
		displacement_multiplier = "0.1"
		displacement_function = "Power fractal shader v3 01"
		displacement_offset = "0"
		smoothing_effect = "0"
		smoothing_amount = "1"
		child_layers = ""
		coverage = "0.7"
		fractal_breakup = "1"
		breakup_shader = "Fractal breakup 02"
		fractal_contrast = "1.5"
		invert_breakup = "0"
		only_breakup_colour = "1"
		blend_by_shader = "1"
		blending_shader = "Painted riverbed"
		invert_blendshader = "1"
		blend_as_coverage = "1"
		limit_maximum_altitude = "0"
		maximum_altitude = "1000"
		max_alt_fuzzy_zone = "200"
		limit_minimum_altitude = "0"
		minimum_altitude = "200"
		min_alt_fuzzy_zone = "200"
		use_Y_for_altitude = "0"
		limit_maximum_slope = "1"
		maximum_slope_angle = "70"
		max_slope_fuzzy_zone = "20"
		limit_minimum_slope = "0"
		minimum_slope_angle = "30"
		min_slope_fuzzy_zone = "10"
		use_Y_for_slope = "0"
		slope_key = "0"
		intersect_underlying = "0"
		intersection_mode = "0"
		intersection_zone = "1"
		smoothing_scale = "0"
		intersection_shift = "2"
		min_intersection_shift = "-1"
		fuzzy_zone_softness = "1"
		>
	</surface_layer>
	<power_fractal_shader_v3
		name = "Fractal breakup 02"
		gui_use_node_pos = "1"
		gui_node_pos = "-700 440 0"
		gui_group = ""
		enable = "1"
		input_node = ""
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		seed = "12474"
		feature_scale = "16"
		lead-in_scale = "600"
		smallest_scale = "1"
		noise_octaves = "11"
		apply_high_colour = "1"
		high_colour = "1 1 1"
		apply_low_colour = "0"
		low_colour = "0 0 0"
		colour_contrast = "1"
		colour_offset = "0.225"
		colour_roughness = "10"
		clamp_high_colour = "0"
		clamp_low_colour = "0"
		apply_displacement = "0"
		displacement_direction = "1"
		displacement_amplitude = "1"
		displacement_offset = "0"
		displacement_roughness = "1"
		displacement_spike_limit = "1"
		continue_spike_limit = "0"
		adjust_coastline = "0"
		coastline_altitude = "0"
		coastline_smoothing = "30"
		noise_flavour = "0"
		noise_variation = "1"
		variation_method = "2"
		buoyancy_from_variation = "0"
		clumping_of_variation = "0.25"
		noise_stretch_XYZ = "1 1 1"
		distort_by_normal = "1"
		distortion_by_normal = "5"
		lead-in_warp_effect = "1"
		lead-in_warp_amount = "1"
		less_warp_at_feature_scale = "0"
		allow_vertical_warp = "0"
		blend_by_shader = "0"
		blending_shader = ""
		fit_blendshader_to_this = "0"
		invert_blendshader = "0"
		>
	</power_fractal_shader_v3>
	<power_fractal_shader_v3
		name = "pebble colors"
		gui_use_node_pos = "1"
		gui_node_pos = "-620 860 0"
		gui_group = ""
		enable = "1"
		input_node = ""
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		seed = "21339"
		feature_scale = "0.1"
		lead-in_scale = "0.25"
		smallest_scale = "0.01"
		noise_octaves = "6"
		apply_high_colour = "1"
		high_colour = "0.08713846654 0.09089230746 0.1000000015"
		apply_low_colour = "1"
		low_colour = "0 0 0"
		colour_contrast = "0.8"
		colour_offset = "0"
		colour_roughness = "5"
		clamp_high_colour = "1"
		clamp_low_colour = "1"
		apply_displacement = "1"
		displacement_direction = "1"
		displacement_amplitude = "0.01"
		displacement_offset = "0"
		displacement_roughness = "0.775"
		displacement_spike_limit = "1"
		continue_spike_limit = "1"
		adjust_coastline = "0"
		coastline_altitude = "0"
		coastline_smoothing = "30"
		noise_flavour = "0"
		noise_variation = "1"
		variation_method = "2"
		buoyancy_from_variation = "0.25"
		clumping_of_variation = "0.25"
		noise_stretch_XYZ = "1 1 1"
		distort_by_normal = "0"
		distortion_by_normal = "5"
		lead-in_warp_effect = "0"
		lead-in_warp_amount = "0.5"
		less_warp_at_feature_scale = "0"
		allow_vertical_warp = "0"
		blend_by_shader = "0"
		blending_shader = ""
		fit_blendshader_to_this = "0"
		invert_blendshader = "0"
		>
	</power_fractal_shader_v3>
	<fake_stones_shader
		name = "river stones "
		gui_use_node_pos = "1"
		gui_node_pos = "-640 640 0"
		gui_group = ""
		enable = "1"
		input_node = ""
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		seed = "15988"
		surface_shader = "pebble colors"
		stone_scale = "0.05"
		stone_density = "1"
		vary_density = "1"
		density_variation = "1"
		density_seed = "18115"
		density_variation_scale = "10"
		stone_tallness = "0.6"
		pancake_effect = "1.8"
		separate_geometry = "0"
		only_displace_upwards = "0"
		diffuse_colour = "1 1 1"
		colour_variation = "1"
		variation_in_red = "0.5"
		variation_in_green = "0.5"
		variation_in_blue = "0.5"
		blend_by_shader = "1"
		blending_shader = "Painted riverbed"
		fit_blendshader_to_this = "0"
		invert_blendshader = "0"
		blend_as_stone_density = "1"
		>
	</fake_stones_shader>
	<power_fractal_shader_v3
		name = "soil color fractals"
		gui_use_node_pos = "1"
		gui_node_pos = "-980 500 0"
		gui_group = ""
		enable = "1"
		input_node = ""
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		seed = "31494"
		feature_scale = "1"
		lead-in_scale = "70"
		smallest_scale = "0.1"
		noise_octaves = "11"
		apply_high_colour = "1"
		high_colour = "0.166899994 0.1112999991 0.06575000286"
		apply_low_colour = "1"
		low_colour = "0 0 0"
		colour_contrast = "0.76875"
		colour_offset = "0"
		colour_roughness = "10"
		clamp_high_colour = "1"
		clamp_low_colour = "1"
		apply_displacement = "1"
		displacement_direction = "1"
		displacement_amplitude = "0.01"
		displacement_offset = "0"
		displacement_roughness = "0.6375"
		displacement_spike_limit = "1"
		continue_spike_limit = "1"
		adjust_coastline = "0"
		coastline_altitude = "0"
		coastline_smoothing = "30"
		noise_flavour = "2"
		noise_variation = "1"
		variation_method = "2"
		buoyancy_from_variation = "0.25"
		clumping_of_variation = "0.25"
		noise_stretch_XYZ = "1 0.3 1"
		distort_by_normal = "1"
		distortion_by_normal = "5"
		lead-in_warp_effect = "1"
		lead-in_warp_amount = "0.5"
		less_warp_at_feature_scale = "1"
		allow_vertical_warp = "1"
		blend_by_shader = "0"
		blending_shader = ""
		fit_blendshader_to_this = "0"
		invert_blendshader = "0"
		>
	</power_fractal_shader_v3>
	<painted_shader
		name = "Painted riverbed"
		gui_use_node_pos = "1"
		gui_node_pos = "-460 1380 0"
		gui_group = ""
		enable = "1"
		input_node = ""
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		use_absolute_brush = "1"
		brush_size_in_metres = "1"
		use_view-relative_brush = "0"
		view-relative_brush_size = "0.1"
		brush_falloff = "1"
		flow = "0.25"
		colour = "1 1 1"
		projection = "1"
		coordinates = "0"
		translate = "0 0 0"
		>
		<custom>
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	<power_fractal_shader_v3
		name = "Fractal breakup 03"
		gui_use_node_pos = "1"
		gui_node_pos = "-840 440 0"
		gui_group = ""
		enable = "1"
		input_node = ""
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		seed = "36666"
		feature_scale = "1"
		lead-in_scale = "1000"
		smallest_scale = "0.1"
		noise_octaves = "15"
		apply_high_colour = "1"
		high_colour = "1 1 1"
		apply_low_colour = "0"
		low_colour = "0 0 0"
		colour_contrast = "0.5"
		colour_offset = "0"
		colour_roughness = "5"
		clamp_high_colour = "0"
		clamp_low_colour = "0"
		apply_displacement = "0"
		displacement_direction = "1"
		displacement_amplitude = "1"
		displacement_offset = "0"
		displacement_roughness = "1"
		displacement_spike_limit = "1"
		continue_spike_limit = "0"
		adjust_coastline = "0"
		coastline_altitude = "0"
		coastline_smoothing = "30"
		noise_flavour = "0"
		noise_variation = "1"
		variation_method = "2"
		buoyancy_from_variation = "0"
		clumping_of_variation = "0.25"
		noise_stretch_XYZ = "1 1 1"
		distort_by_normal = "1"
		distortion_by_normal = "5"
		lead-in_warp_effect = "1"
		lead-in_warp_amount = "1"
		less_warp_at_feature_scale = "0"
		allow_vertical_warp = "0"
		blend_by_shader = "0"
		blending_shader = ""
		fit_blendshader_to_this = "0"
		invert_blendshader = "0"
		>
	</power_fractal_shader_v3>
	<surface_layer
		name = "soil colors"
		gui_use_node_pos = "1"
		gui_node_pos = "-1000 360 0"
		gui_group = ""
		enable = "1"
		input_node = "Base colours"
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		apply_colour = "1"
		diffuse_colour = "0.009999999776 0.009999999776 0.009999999776"
		colour_function = ""
		enable_test_colour = "0"
		test_colour = "1 0 1"
		luminous = "0"
		luminosity_multiplier = "1"
		luminosity_tint = "1 1 1"
		luminosity_function = ""
		displacement_direction = "1"
		displacement_multiplier = "1"
		displacement_function = ""
		displacement_offset = "0"
		smoothing_effect = "0"
		smoothing_amount = "1"
		child_layers = "soil color fractals"
		coverage = "0.8"
		fractal_breakup = "1"
		breakup_shader = "Fractal breakup 03"
		fractal_contrast = "1.5"
		invert_breakup = "0"
		only_breakup_colour = "1"
		blend_by_shader = "0"
		blending_shader = ""
		invert_blendshader = "0"
		blend_as_coverage = "1"
		limit_maximum_altitude = "0"
		maximum_altitude = "1000"
		max_alt_fuzzy_zone = "200"
		limit_minimum_altitude = "0"
		minimum_altitude = "200"
		min_alt_fuzzy_zone = "200"
		use_Y_for_altitude = "0"
		limit_maximum_slope = "0"
		maximum_slope_angle = "60"
		max_slope_fuzzy_zone = "20"
		limit_minimum_slope = "0"
		minimum_slope_angle = "30"
		min_slope_fuzzy_zone = "10"
		use_Y_for_slope = "0"
		slope_key = "0"
		intersect_underlying = "0"
		intersection_mode = "0"
		intersection_zone = "2"
		smoothing_scale = "0"
		intersection_shift = "2"
		min_intersection_shift = "-2"
		fuzzy_zone_softness = "1"
		>
	</surface_layer>
	<surface_layer
		name = "horizontal foam"
		gui_use_node_pos = "1"
		gui_node_pos = "420 900 0"
		gui_group = ""
		enable = "1"
		input_node = "foam"
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		apply_colour = "1"
		diffuse_colour = "0.8000000119 0.8000000119 0.8000000119"
		colour_function = ""
		enable_test_colour = "0"
		test_colour = "1 0 1"
		luminous = "0"
		luminosity_multiplier = "1"
		luminosity_tint = "1 1 1"
		luminosity_function = ""
		displacement_direction = "1"
		displacement_multiplier = "1"
		displacement_function = ""
		displacement_offset = "0"
		smoothing_effect = "0"
		smoothing_amount = "1"
		child_layers = ""
		coverage = "0.5"
		fractal_breakup = "1"
		breakup_shader = "foam pattern_horizontal"
		fractal_contrast = "2"
		invert_breakup = "0"
		only_breakup_colour = "1"
		blend_by_shader = "0"
		blending_shader = ""
		invert_blendshader = "0"
		blend_as_coverage = "1"
		limit_maximum_altitude = "1"
		maximum_altitude = "1"
		max_alt_fuzzy_zone = "0.5"
		limit_minimum_altitude = "0"
		minimum_altitude = "200"
		min_alt_fuzzy_zone = "200"
		use_Y_for_altitude = "0"
		limit_maximum_slope = "1"
		maximum_slope_angle = "40"
		max_slope_fuzzy_zone = "10"
		limit_minimum_slope = "0"
		minimum_slope_angle = "30"
		min_slope_fuzzy_zone = "10"
		use_Y_for_slope = "0"
		slope_key = "0"
		intersect_underlying = "0"
		intersection_mode = "0"
		intersection_zone = "2"
		smoothing_scale = "0"
		intersection_shift = "2"
		min_intersection_shift = "-2"
		fuzzy_zone_softness = "1"
		>
	</surface_layer>
	<power_fractal_shader_v3
		name = "foam pattern_horizontal"
		gui_use_node_pos = "1"
		gui_node_pos = "600 980 0"
		gui_group = ""
		enable = "1"
		input_node = ""
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		seed = "2445"
		feature_scale = "0.3"
		lead-in_scale = "1"
		smallest_scale = "0.1"
		noise_octaves = "5"
		apply_high_colour = "1"
		high_colour = "1 1 1"
		apply_low_colour = "0"
		low_colour = "0 0 0"
		colour_contrast = "0.7"
		colour_offset = "-0.3"
		colour_roughness = "5"
		clamp_high_colour = "1"
		clamp_low_colour = "1"
		apply_displacement = "0"
		displacement_direction = "1"
		displacement_amplitude = "1"
		displacement_offset = "0"
		displacement_roughness = "1"
		displacement_spike_limit = "1"
		continue_spike_limit = "0"
		adjust_coastline = "0"
		coastline_altitude = "0"
		coastline_smoothing = "30"
		noise_flavour = "2"
		noise_variation = "1"
		variation_method = "2"
		buoyancy_from_variation = "0.25"
		clumping_of_variation = "0.25"
		noise_stretch_XYZ = "1 1 1"
		distort_by_normal = "1"
		distortion_by_normal = "5"
		lead-in_warp_effect = "1"
		lead-in_warp_amount = "0.2"
		less_warp_at_feature_scale = "0"
		allow_vertical_warp = "0"
		blend_by_shader = "0"
		blending_shader = ""
		fit_blendshader_to_this = "0"
		invert_blendshader = "0"
		>
	</power_fractal_shader_v3>
	<sunlight
		name = "Sunlight "
		gui_use_node_pos = "1"
		gui_node_pos = "320 -60 0"
		gui_group = "Lighting"
		enable = "1"
		heading = "234"
		elevation = "25"
		colour = "1 1 1"
		strength = "10"
		cast_shadows = "1"
		shadows_of_surfaces = "1"
		shadows_of_atmosphere = "1"
		soft_shadows = "1"
		soft_shadow_diameter = "0.5"
		soft_shadow_samples = "9"
		glow_in_atmosphere = "1"
		specular_highlights = "1"
		visible_disc = "0"
		angular_diameter = "0.5"
		>
	</sunlight>
	<cloud_layer_v2
		name = "Cirrus layer 01"
		gui_use_node_pos = "1"
		gui_node_pos = "0 520 0"
		gui_group = "Atmosphere"
		enable = "1"
		input_node = "Atmosphere 01"
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		enable_primary = "1"
		enable_secondary = "1"
		centre = "0 -6378000 0"
		radius = "6378000"
		seed = "0"
		cloud_altitude = "10186"
		cloud_depth = "10"
		density_shader = "Density fractal 01"
		edge_sharpness = "1"
		cloud_density = "0.01"
		coverage_adjust = "0"
		cloud_colour = "0.349999994 0.349999994 0.349999994"
		scattering_colour = "0.349999994 0.349999994 0.349999994"
		sun_glow_amount = "1"
		sun_glow_power = "1.25"
		light_propagation = "2"
		light_propagation_mix = "0.125"
		fake_internal_scattering = "1"
		enviro_light = "1"
		enviro_light_tint = "1 1 1"
		darker_unresolved_scattering = "1"
		ambient = "0 0 0"
		fake_dark_power = "0"
		fake_dark_sharpness = "10"
		improved_lighting_model = "1"
		flatter_base = "0"
		invert_profile = "0"
		base_wispiness = "0"
		base_softness = "0"
		coverage_gamma = "1"
		rendering_method = "0"
		quality = "0.5104784277"
		number_of_samples = "5"
		sample_jitter = "1"
		acceleration_cache = "0"
		enable_ray_traced_shadows = "0"
		>
	</cloud_layer_v2>
	<cloud_fractal_shader_v3
		name = "Density fractal 01"
		gui_use_node_pos = "1"
		gui_node_pos = "200 580 0"
		gui_group = "Atmosphere"
		enable = "1"
		input_node = ""
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		seed = "27694"
		feature_scale = "20000"
		lead-in_scale = "50000"
		smallest_scale = "10"
		noise_octaves = "14"
		apply_high_colour = "1"
		high_colour = "1 1 1"
		apply_low_colour = "0"
		low_colour = "0 0 0"
		contrast = "1"
		coverage_adjust = "0"
		roughness = "1.5"
		clamp_high = "0"
		clamp_low = "0"
		apply_displacement = "0"
		displacement_direction = "1"
		displacement_amplitude = "1"
		displacement_offset = "0"
		displacement_roughness = "1"
		displacement_spike_limit = "1"
		continue_spike_limit = "0"
		adjust_coastline = "0"
		coastline_altitude = "0"
		coastline_smoothing = "30"
		noise_flavour = "0"
		noise_variation = "1"
		variation_method = "1"
		buoyancy_from_variation = "0.5"
		clumping_of_variation = "0.25"
		noise_stretch_XYZ = "1 1 1"
		distort_by_normal = "0"
		distortion_by_normal = "5"
		lead-in_warp_effect = "1"
		lead-in_warp_amount = "1"
		less_warp_at_feature_scale = "0"
		allow_vertical_warp = "1"
		blend_by_shader = "0"
		blending_shader = ""
		fit_blendshader_to_this = "0"
		invert_blendshader = "0"
		>
	</cloud_fractal_shader_v3>
	<power_fractal_shader_v3
		name = "Power fractal shader v3 01"
		gui_use_node_pos = "1"
		gui_node_pos = "-780 340 0"
		gui_group = ""
		enable = "1"
		input_node = ""
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		seed = "60640"
		feature_scale = "0.05"
		lead-in_scale = "0.1"
		smallest_scale = "0.01"
		noise_octaves = "5"
		apply_high_colour = "1"
		high_colour = "1 1 1"
		apply_low_colour = "0"
		low_colour = "0 0 0"
		colour_contrast = "0.5"
		colour_offset = "0"
		colour_roughness = "5"
		clamp_high_colour = "1"
		clamp_low_colour = "1"
		apply_displacement = "0"
		displacement_direction = "1"
		displacement_amplitude = "1"
		displacement_offset = "0"
		displacement_roughness = "1"
		displacement_spike_limit = "1"
		continue_spike_limit = "0"
		adjust_coastline = "0"
		coastline_altitude = "0"
		coastline_smoothing = "30"
		noise_flavour = "1"
		noise_variation = "1"
		variation_method = "2"
		buoyancy_from_variation = "0.25"
		clumping_of_variation = "0.25"
		noise_stretch_XYZ = "1 1 1"
		distort_by_normal = "0"
		distortion_by_normal = "5"
		lead-in_warp_effect = "0"
		lead-in_warp_amount = "0.5"
		less_warp_at_feature_scale = "0"
		allow_vertical_warp = "0"
		blend_by_shader = "0"
		blending_shader = ""
		fit_blendshader_to_this = "0"
		invert_blendshader = "0"
		>
	</power_fractal_shader_v3>
	<power_fractal_shader_v3
		name = "rocks colors_1"
		gui_use_node_pos = "1"
		gui_node_pos = "-460 720 0"
		gui_group = ""
		enable = "1"
		input_node = ""
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		seed = "21339"
		feature_scale = "0.1"
		lead-in_scale = "1"
		smallest_scale = "0.01"
		noise_octaves = "8"
		apply_high_colour = "1"
		high_colour = "0.224999994 0.2164357901 0.1838593036"
		apply_low_colour = "1"
		low_colour = "0.01250000019 0.01171199977 0.009492000565"
		colour_contrast = "0.8"
		colour_offset = "0"
		colour_roughness = "5"
		clamp_high_colour = "1"
		clamp_low_colour = "1"
		apply_displacement = "1"
		displacement_direction = "1"
		displacement_amplitude = "0.06"
		displacement_offset = "0"
		displacement_roughness = "1"
		displacement_spike_limit = "1"
		continue_spike_limit = "1"
		adjust_coastline = "0"
		coastline_altitude = "0"
		coastline_smoothing = "30"
		noise_flavour = "0"
		noise_variation = "1"
		variation_method = "2"
		buoyancy_from_variation = "0.25"
		clumping_of_variation = "0.25"
		noise_stretch_XYZ = "1 1 1"
		distort_by_normal = "0"
		distortion_by_normal = "5"
		lead-in_warp_effect = "0"
		lead-in_warp_amount = "0.5"
		less_warp_at_feature_scale = "0"
		allow_vertical_warp = "0"
		blend_by_shader = "0"
		blending_shader = ""
		fit_blendshader_to_this = "0"
		invert_blendshader = "0"
		>
	</power_fractal_shader_v3>
	<fake_stones_shader
		name = "Fake stones overall_1"
		gui_use_node_pos = "1"
		gui_node_pos = "-460 640 0"
		gui_group = ""
		enable = "1"
		input_node = ""
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		seed = "22"
		surface_shader = "rocks colors_1"
		stone_scale = "0.6"
		stone_density = "0.01"
		vary_density = "1"
		density_variation = "1"
		density_seed = "18115"
		density_variation_scale = "10"
		stone_tallness = "1"
		pancake_effect = "2"
		separate_geometry = "0"
		only_displace_upwards = "0"
		diffuse_colour = "1 1 1"
		colour_variation = "1"
		variation_in_red = "0.5"
		variation_in_green = "0.5"
		variation_in_blue = "0.5"
		blend_by_shader = "1"
		blending_shader = "Painted riverbed"
		fit_blendshader_to_this = "0"
		invert_blendshader = "1"
		blend_as_stone_density = "1"
		>
	</fake_stones_shader>
	<merge_shader
		name = "Merge shader 01_1"
		gui_use_node_pos = "1"
		gui_node_pos = "-460 480 0"
		gui_group = ""
		enable = "1"
		input_node = "Merge shader 01"
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		shader_A = "Fake stones overall_1"
		mix_to_A = "0.5"
		mix_controller = ""
		choose_by_altitude = "1"
		merge_colour = "1"
		colour_merge_mode = "0"
		merge_displacement = "1"
		displace_merge_mode = "0"
		>
	</merge_shader>
	<cloud_layer_v2
		name = "Altocumulus layer 01"
		gui_use_node_pos = "1"
		gui_node_pos = "0 400 0"
		gui_group = "Atmosphere"
		enable = "1"
		input_node = "/Cirrus layer 01"
		gui_use_preview_patch_size = "0"
		gui_preview_patch_size = "1000 1000"
		enable_primary = "1"
		enable_secondary = "1"
		centre = "0 -6378000 0"
		radius = "6378000"
		seed = "0"
		cloud_altitude = "4202"
		cloud_depth = "450"
		density_shader = "Density fractal 02"
		edge_sharpness = "0.5"
		cloud_density = "0.01"
		coverage_adjust = "0"
		cloud_colour = "0.349999994 0.349999994 0.349999994"
		scattering_colour = "0.349999994 0.349999994 0.349999994"
		sun_glow_amount = "1"
		sun_glow_power = "1.25"
		light_propagation = "2"
		light_propagation_mix = "0.125"
		fake_internal_scattering = "1"
		enviro_light = "1"
		enviro_light_tint = "1 1 1"
		darker_unresolved_scattering = "1"
		ambient = "0 0 0"
		fake_dark_power = "0"
		fake_dark_sharpness = "10"
		improved_lighting_model = "1"
		flatter_base = "0"
		invert_profile = "0"
		base_wispiness = "0"
		base_softness = "0"
		coverage_gamma = "1"
		rendering_method = "1"
		quality = "1.021684223"
		number_of_samples = "28"
		sample_jitter = "1"
		acceleration_cache = "2"
		enable_ray_traced_shadows = "0"
		>
	</cloud_layer_v2>
	<populator_v3
		name = "Pop EU22a.obj"
		gui_use_node_pos = "1"
		gui_node_pos = "0 60 0"
		gui_group = "Objects"
		enable = "1"
		show_b-box_in_preview = "1"
		object_maker = "EU22a.obj"
		unique_variations = "1"
		render_quality = "1"
		area_centre = "27.39069592 -0.01245318343 5.519219647"
		area_length_a = "1000"
		area_length_b = "1000"
		object_spacing = "3"
		use_density_shader = "1"
		density_shader = "Distribution shader v4 01"
		invert_density_shader = "0"
		sit_on_terrain = "1"
		terrain_shader = "Compute Terrain"
		planet = "Planet 01"
		minimum_scale = "1"
		maximum_scale = "1"
		minimum_Y_rotation = "0"
		maximum_Y_rotation = "360"
		seed = "62088"
		repopulate_every_frame = "0"
		preview_instances = "1"
		>
		<obj_reader
			name = "EU22a.obj"
			gui_use_node_pos = "1"
			gui_node_pos = "200 60 0"
			gui_group = ""
			enable = "1"
			population_mode = "1"
			show_b-box_in_preview = "1"
			visible_to_camera = "1"
			visible_to_other_rays = "1"
			cast_shadows = "1"
			double-sided_surface = "1"
			use_smooth_normals = "1"
			flip_normals = "0"
			filename = "C:\Users\C2D\Documents\Trees\Europe_2\Models\EU22_Abies_nordmanniana_Caucasian_Fir\EU22a.obj"
			translate = "0 0 0"
			rotate = "0 0 0"
			scale = "1 1 1"
			import_motion_filename = ""
			heading = "0"
			elevation = "0"
			distance = "1"
			surface_shader = "Parts shader 01"
			source_in_cm = "1"
			source_Z_up = "1"
			>
			<parts_shader
				name = "Parts shader 01"
				gui_use_node_pos = "1"
				gui_node_pos = "400 120 0"
				gui_group = ""
				enable = "1"
				input_node = ""
				gui_use_preview_patch_size = "0"
				gui_preview_patch_size = "1000 1000"
				>
				<default_shader
					name = "EU22brn shader"
					gui_use_node_pos = "1"
					gui_node_pos = "600 480 0"
					gui_group = ""
					enable = "1"
					input_node = ""
					gui_use_preview_patch_size = "0"
					gui_preview_patch_size = "1000 1000"
					diffuse_colour = "0.5 0.5 0.5"
					colour_image = ""
					colour_function = ""
					translucency = "0 0 0"
					translucency_image = ""
					translucency_function = ""
					luminosity = "0 0 0"
					luminosity_image = ""
					luminosity_function = ""
					reflectivity = "0 0 0"
					reflection_tint = "1 1 1"
					index_of_refraction = "1.5"
					specular_roughness = "0.2"
					displacement_direction = "1"
					displacement_multiplier = "0.01"
					displacement_image = ""
					displacement_function = ""
					displacement_offset = "0"
					opacity = "1 1 1"
					opacity_image = ""
					use_alpha_channel = "0"
					invert_opacity_image = "0"
					opacity_function = ""
					alpha_from_colour = "0"
					alpha_key = "0 0 0"
					key_tolerance = "0.1"
					image_projection = "4"
					projection_camera = ""
					unpremultiply_colour = "1"
					unpremultiply_translucency = "0"
					unpremultiply_luminosity = "0"
					>
				</default_shader>
				<object_part
					name = "EU22brn"
					gui_use_node_pos = "1"
					gui_node_pos = "600 420 0"
					gui_group = ""
					part = "EU22brn"
					shader = "EU22brn shader"
					>
				</object_part>
				<default_shader
					name = "EU22lef shader"
					gui_use_node_pos = "1"
					gui_node_pos = "600 360 0"
					gui_group = ""
					enable = "1"
					input_node = ""
					gui_use_preview_patch_size = "0"
					gui_preview_patch_size = "1000 1000"
					diffuse_colour = "0.5 0.5 0.5"
					colour_image = ""
					colour_function = ""
					translucency = "0 0 0"
					translucency_image = ""
					translucency_function = ""
					luminosity = "0 0 0"
					luminosity_image = ""
					luminosity_function = ""
					reflectivity = "0 0 0"
					reflection_tint = "1 1 1"
					index_of_refraction = "1.5"
					specular_roughness = "0.2"
					displacement_direction = "1"
					displacement_multiplier = "0.01"
					displacement_image = ""
					displacement_function = ""
					displacement_offset = "0"
					opacity = "1 1 1"
					opacity_image = ""
					use_alpha_channel = "0"
					invert_opacity_image = "0"
					opacity_function = ""
					alpha_from_colour = "0"
					alpha_key = "0 0 0"
					key_tolerance = "0.1"
					image_projection = "4"
					projection_camera = ""
					unpremultiply_colour = "1"
					unpremultiply_translucency = "0"
					unpremultiply_luminosity = "0"
					>
				</default_shader>
				<object_part
					name = "EU22lef"
					gui_use_node_pos = "1"
					gui_node_pos = "600 300 0"
					gui_group = ""
					part = "EU22lef"
					shader = "EU22lef shader"
					>
				</object_part>
				<default_shader
					name = "EU22brk shader"
					gui_use_node_pos = "1"
					gui_node_pos = "600 240 0"
					gui_group = ""
					enable = "1"
					input_node = ""
					gui_use_preview_patch_size = "0"
					gui_preview_patch_size = "1000 1000"
					diffuse_colour = "0.5 0.5 0.5"
					colour_image = ""
					colour_function = ""
					translucency = "0 0 0"
					translucency_image = ""
					translucency_function = ""
					luminosity = "0 0 0"
					luminosity_image = ""
					luminosity_function = ""
					reflectivity = "0 0 0"
					reflection_tint = "1 1 1"
					index_of_refraction = "1.5"
					specular_roughness = "0.2"
					displacement_direction = "1"
					displacement_multiplier = "0.01"
					displacement_image = ""
					displacement_function = ""
					displacement_offset = "0"
					opacity = "1 1 1"
					opacity_image = ""
					use_alpha_channel = "0"
					invert_opacity_image = "0"
					opacity_function = ""
					alpha_from_colour = "0"
					alpha_key = "0 0 0"
					key_tolerance = "0.1"
					image_projection = "4"
					projection_camera = ""
					unpremultiply_colour = "1"
					unpremultiply_translucency = "0"
					unpremultiply_luminosity = "0"
					>
				</default_shader>
				<object_part
					name = "EU22brk"
					gui_use_node_pos = "1"
					gui_node_pos = "600 180 0"
					gui_group = ""
					part = "EU22brk"
					shader = "EU22brk shader"
					>
				</object_part>
			</parts_shader>
		</obj_reader>
		<distribution_shader_v4
			name = "Distribution shader v4 01"
			gui_use_node_pos = "1"
			gui_node_pos = "-220 0 0"
			gui_group = ""
			enable = "1"
			input_node = ""
			gui_use_preview_patch_size = "0"
			gui_preview_patch_size = "1000 1000"
			colour = "1 1 1"
			child_layers = ""
			coverage = "1"
			fractal_breakup = "0"
			breakup_shader = "Fractal breakup 01"
			fractal_contrast = "0.5"
			invert_breakup = "0"
			blend_by_shader = "0"
			blending_shader = ""
			invert_blendshader = "0"
			blend_as_coverage = "1"
			limit_maximum_altitude = "0"
			maximum_altitude = "1000"
			max_alt_fuzzy_zone = "200"
			limit_minimum_altitude = "1"
			minimum_altitude = "0.55"
			min_alt_fuzzy_zone = "0.5"
			use_Y_for_altitude = "0"
			altitude_key = "1"
			limit_maximum_slope = "0"
			maximum_slope_angle = "60"
			max_slope_fuzzy_zone = "20"
			limit_minimum_slope = "0"
			minimum_slope_angle = "30"
			min_slope_fuzzy_zone = "10"
			use_Y_for_slope = "0"
			slope_key = "0"
			fuzzy_zone_softness = "1"
			>
		</distribution_shader_v4>
		<power_fractal_shader_v3
			name = "Fractal breakup 01"
			gui_use_node_pos = "1"
			gui_node_pos = "-20 60 0"
			gui_group = ""
			enable = "1"
			input_node = ""
			gui_use_preview_patch_size = "0"
			gui_preview_patch_size = "1000 1000"
			seed = "12315"
			feature_scale = "1"
			lead-in_scale = "1000"
			smallest_scale = "0.1"
			noise_octaves = "15"
			apply_high_colour = "1"
			high_colour = "1 1 1"
			apply_low_colour = "0"
			low_colour = "0 0 0"
			colour_contrast = "0.5"
			colour_offset = "0"
			colour_roughness = "5"
			clamp_high_colour = "0"
			clamp_low_colour = "0"
			apply_displacement = "0"
			displacement_direction = "1"
			displacement_amplitude = "1"
			displacement_offset = "0"
			displacement_roughness = "1"
			displacement_spike_limit = "1"
			continue_spike_limit = "0"
			adjust_coastline = "0"
			coastline_altitude = "0"
			coastline_smoothing = "30"
			noise_flavour = "0"
			noise_variation = "1"
			variation_method = "2"
			buoyancy_from_variation = "0"
			clumping_of_variation = "0.25"
			noise_stretch_XYZ = "1 1 1"
			distort_by_normal = "1"
			distortion_by_normal = "5"
			lead-in_warp_effect = "1"
			lead-in_warp_amount = "1"
			less_warp_at_feature_scale = "0"
			allow_vertical_warp = "0"
			blend_by_shader = "0"
			blending_shader = ""
			fit_blendshader_to_this = "0"
			invert_blendshader = "0"
			>
		</power_fractal_shader_v3>
	</populator_v3>
	<populator_v3
		name = "Pop Grass clump 01"
		gui_use_node_pos = "1"
		gui_node_pos = "0 0 0"
		gui_group = "Objects"
		enable = "1"
		show_b-box_in_preview = "1"
		object_maker = "Grass clump 01"
		unique_variations = "1"
		render_quality = "1"
		area_centre = "28671350.15 -48624100.15 191025115.5"
		area_length_a = "20"
		area_length_b = "20"
		object_spacing = "1"
		use_density_shader = "0"
		density_shader = ""
		invert_density_shader = "0"
		sit_on_terrain = "1"
		terrain_shader = "Compute Terrain"
		planet = "Planet 01"
		minimum_scale = "1"
		maximum_scale = "1"
		minimum_Y_rotation = "0"
		maximum_Y_rotation = "360"
		seed = "37062"
		repopulate_every_frame = "0"
		preview_instances = "1"
		>
		<grass_clump
			name = "Grass clump 01"
			gui_use_node_pos = "1"
			gui_node_pos = "200 60 0"
			gui_group = ""
			enable = "1"
			population_mode = "1"
			show_b-box_in_preview = "1"
			visible_to_camera = "1"
			visible_to_other_rays = "1"
			cast_shadows = "1"
			double-sided_surface = "1"
			use_smooth_normals = "1"
			flip_normals = "0"
			number_of_blades = "10000"
			clump_diameter = "10"
			blade_length = "0.1"
			translate = "0 0 0"
			rotate = "0 0 0"
			scale = "1 1 1"
			import_motion_filename = ""
			heading = "0"
			elevation = "0"
			distance = "1"
			surface_shader = "Default shader 02"
			>
			<default_shader
				name = "Default shader 02"
				gui_use_node_pos = "1"
				gui_node_pos = "400 120 0"
				gui_group = ""
				enable = "1"
				input_node = ""
				gui_use_preview_patch_size = "0"
				gui_preview_patch_size = "1000 1000"
				diffuse_colour = "0.5 0.5 0.5"
				colour_image = ""
				colour_function = ""
				translucency = "0 0 0"
				translucency_image = ""
				translucency_function = ""
				luminosity = "0 0 0"
				luminosity_image = ""
				luminosity_function = ""
				reflectivity = "0 0 0"
				reflection_tint = "1 1 1"
				index_of_refraction = "1.5"
				specular_roughness = "0.2"
				displacement_direction = "1"
				displacement_multiplier = "0.01"
				displacement_image = ""
				displacement_function = ""
				displacement_offset = "0"
				opacity = "1 1 1"
				opacity_image = ""
				use_alpha_channel = "0"
				invert_opacity_image = "0"
				opacity_function = ""
				alpha_from_colour = "0"
				alpha_key = "0 0 0"
				key_tolerance = "0.1"
				image_projection = "4"
				projection_camera = ""
				unpremultiply_colour = "1"
				unpremultiply_translucency = "0"
				unpremultiply_luminosity = "0"
				>
			</default_shader>
		</grass_clump>
	</populator_v3>
</terragen>
