China Soil Science Data Center

Name
"Predicted colours of Chinese soils"

Description
Soil colour is the most obvious visible soil characteristic. It can indicate soil physical, chemical and biological properties and processes, and is an important indicator for soil quality evaluation and soil management. It is used extensively as a diagnostic feature in all soil classication systems. Soil colour varies in both horizontal and vertical dimensions. To reveal its spatial variations, we used predictive soil mapping approach to map soil dry and moist colours at at 1 km2 grid cell size and over multiple depths from a recent national reconnaissance soil survey data and a suite of environmental covariates. The predicted colours of Chinese soils at nine depths, as GeoTFF rasters of Red, Green, Blue separates at 1x1 km horizontal resolution, and as true-colour composites. Metadata in file readme.txt.

Documents

	Name	Description
1	readme.txt	Metadata
2	ProducingColourBars.R	monitor calibration
3	ColourMatchingBarDry.pdf	monitor calibration
4	ColourMatchingBarMoist.pdf	help monitor calibration

Dataset
1) singles.zip (323Mb): GeoTFF rasters of Red, Green, Blue separates at 1x1 km horizontal resolution at depths 5, 10, 15, 25, 35, 50, 75, 100, 125 cm

	GeoTFF raster	Name	Resolution (m)	Scale	Depth (cm)
1	dryr005.tif	Red in dry conditions	1000	0-255	5
2	dryg005.tif	Green in dry conditions	1000	0-255	5
3	dryb005.tif	Blue in dry conditions	1000	0-255	5
4	dryr010.tif	Red in dry conditions	1000	0-255	10
5	dryg010.tif	Green in dry conditions	1000	0-255	10
6	dryb010.tif	Blue in dry conditions	1000	0-255	10
7	dryr015.tif	Red in dry conditions	1000	0-255	15
8	dryg015.tif	Green in dry conditions	1000	0-255	15
9	dryb015.tif	Blue in dry conditions	1000	0-255	15
10	dryr025.tif	Red in dry conditions	1000	0-255	25
11	dryg025.tif	Green in dry conditions	1000	0-255	25
12	dryb025.tif	Blue in dry conditions	1000	0-255	25
13	dryr035.tif	Red in dry conditions	1000	0-255	35
14	dryg035.tif	Green in dry conditions	1000	0-255	35
15	dryb035.tif	Blue in dry conditions	1000	0-255	35
16	dryr050.tif	Red in dry conditions	1000	0-255	50
17	dryg050.tif	Green in dry conditions	1000	0-255	50
18	dryb050.tif	Blue in dry conditions	1000	0-255	50
19	dryr075.tif	Red in dry conditions	1000	0-255	75
20	dryg075.tif	Green in dry conditions	1000	0-255	75
21	dryb075.tif	Blue in dry conditions	1000	0-255	75
22	dryr100.tif	Red in dry conditions	1000	0-255	100
23	dryg100.tif	Green in dry conditions	1000	0-255	100
24	dryb100.tif	Blue in dry conditions	1000	0-255	100
25	dryr125.tif	Red in dry conditions	1000	0-255	125
26	dryg125.tif	Green in dry conditions	1000	0-255	125
27	dryb125.tif	Blue in dry conditions	1000	0-255	125
28	wetr005.tif	Red in moist conditions	1000	0-255	5
29	wetg005.tif	Green in moist conditions	1000	0-255	5
30	wetb005.tif	Blue in moist conditions	1000	0-255	5
31	wetr010.tif	Red in moist conditions	1000	0-255	10
32	wetg010.tif	Green in moist conditions	1000	0-255	10
33	wetb010.tif	Blue in moist conditions	1000	0-255	10
34	wetr015.tif	Red in moist conditions	1000	0-255	15
35	wetg015.tif	Green in moist conditions	1000	0-255	15
36	wetb015.tif	Blue in moist conditions	1000	0-255	15
37	wetr025.tif	Red in moist conditions	1000	0-255	25
38	wetg025.tif	Green in moist conditions	1000	0-255	25
39	wetb025.tif	Blue in moist conditions	1000	0-255	25
40	wetr035.tif	Red in moist conditions	1000	0-255	35
41	wetg035.tif	Green in moist conditions	1000	0-255	35
42	wetb035.tif	Blue in moist conditions	1000	0-255	35
43	wetr050.tif	Red in moist conditions	1000	0-255	50
44	wetg050.tif	Green in moist conditions	1000	0-255	50
45	wetb050.tif	Blue in moist conditions	1000	0-255	50
46	wetr075.tif	Red in moist conditions	1000	0-255	75
47	wetg075.tif	Green in moist conditions	1000	0-255	75
48	wetb075.tif	Blue in moist conditions	1000	0-255	75
49	wetr100.tif	Red in moist conditions	1000	0-255	100
50	wetg100.tif	Green in moist conditions	1000	0-255	100
51	wetb100.tif	Blue in moist conditions	1000	0-255	100
52	wetr125.tif	Red in moist conditions	1000	0-255	125
53	wetg125.tif	Green in moist conditions	1000	0-255	125
54	wetb125.tif	Blue in moist conditions	1000	0-255	125

2) composites.zip (464Mb): GeoTFF rasters of Red, Green, Blue true-colour composites at 1x1 km horizontal resolution at depths 5, 10, 15, 25, 35, 50, 75, 100, 125 cm

	GeoTFF raster	Name	Resolution (m)	Scale	Depth (cm)
1	dryrgb010.tif	Red, Green, Blue true-colour composites in dry conditions	1000	0-255	5
2	dryrgb010.tif	Red, Green, Blue true-colour composites in dry conditions	1000	0-255	10
3	dryrgb015.tif	Red, Green, Blue true-colour composites in dry conditions	1000	0-255	15
4	dryrgb025.tif	Red, Green, Blue true-colour composites in dry conditions	1000	0-255	25
5	dryrgb035.tif	Red, Green, Blue true-colour composites in dry conditions	1000	0-255	35
6	dryrgb050.tif	Red, Green, Blue true-colour composites in dry conditions	1000	0-255	50
7	dryrgb075.tif	Red, Green, Blue true-colour composites in dry conditions	1000	0-255	75
8	dryrgb100.tif	Red, Green, Blue true-colour composites in dry conditions	1000	0-255	100
9	dryrgb125.tif	Red, Green, Blue true-colour composites in dry conditions	1000	0-255	125
10	wetrgb010.tif	Red, Green, Blue true-colour composites in moist conditions	1000	0-255	5
11	wetrgb010.tif	Red, Green, Blue true-colour composites in moist conditions	1000	0-255	10
12	wetrgb015.tif	Red, Green, Blue true-colour composites in moist conditions	1000	0-255	15
13	wetrgb025.tif	Red, Green, Blue true-colour composites in moist conditions	1000	0-255	25
14	wetrgb035.tif	Red, Green, Blue true-colour composites in moist conditions	1000	0-255	35
15	wetrgb050.tif	Red, Green, Blue true-colour composites in moist conditions	1000	0-255	50
16	wetrgb075.tif	Red, Green, Blue true-colour composites in moist conditions	1000	0-255	75
17	wetrgb100.tif	Red, Green, Blue true-colour composites in moist conditions	1000	0-255	100
18	wetrgb125.tif	Red, Green, Blue true-colour composites in moist conditions	1000	0-255	125