iSDAsoil USDA Texture Class

AI-generated Key Takeaways

• This dataset provides USDA Texture Class information for soil depths of 0-20 cm and 20-50 cm across Africa.

• The data was generated by iSDA at a 30m pixel size using machine learning with remote sensing data and soil samples.

• Areas of dense jungle in central Africa may show reduced model accuracy and visual artifacts.

• The dataset includes two bands: texture_0_20 and texture_20_50, each with 12 distinct USDA texture classes.

• This dataset is available from 2001 to 2017 under a CC-BY-4.0 license.

Dataset Availability

2001-01-01T00:00:00Z–2017-01-01T00:00:00Z

Dataset Provider

iSDA

Earth Engine Snippet

ee.Image("ISDASOIL/Africa/v1/texture_class")

Tags

africa aluminium isda soil

Description

USDA Texture Class at soil depths of 0-20 cm and 20-50 cm. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artifacts such as banding (striping) might be seen.

Soil property predictions were made by Innovative Solutions for Decision Agriculture Ltd. (iSDA) at 30 m pixel size using machine learning coupled with remote sensing data and a training set of over 100,000 analyzed soil samples.

Further information can be found in the FAQ and technical information documentation. To submit an issue or request support, please visit the iSDAsoil site.

Bands

Pixel Size
30 meters

Bands

Name	Pixel Size	Description
texture_0_20	meters	USDA Texture Class at 0-20 cm depth
texture_20_50	meters	USDA Texture Class at 20-50 cm depth

texture_0_20 Class Table

Value	Color	Description
1	#d5c36b	Clay
2	#b96947	Silty Clay
3	#9d3706	Sandy Clay
4	#ae868f	Clay Loam
5	#f86714	Silty Clay Loam
6	#46d143	Sandy Clay Loam
7	#368f20	Loam
8	#3e5a14	Silt Loam
9	#ffd557	Sandy Loam
10	#fff72e	Silt
11	#ff5a9d	Loamy Sand
12	#ff005b	Sand

texture_20_50 Class Table

Value	Color	Description
1	#d5c36b	Clay
2	#b96947	Silty Clay
3	#9d3706	Sandy Clay
4	#ae868f	Clay Loam
5	#f86714	Silty Clay Loam
6	#46d143	Sandy Clay Loam
7	#368f20	Loam
8	#3e5a14	Silt Loam
9	#ffd557	Sandy Loam
10	#fff72e	Silt
11	#ff5a9d	Loamy Sand
12	#ff005b	Sand

Terms of Use

Terms of Use

CC-BY-4.0

Citations

Citations:

• Hengl, T., Miller, M.A.E., Križan, J., et al. African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble machine learning. Sci Rep 11, 6130 (2021). doi:10.1038/s41598-021-85639-y

Explore with Earth Engine

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Code Editor (JavaScript)

var raw = ee.Image("ISDASOIL/Africa/v1/texture_class");
Map.addLayer(
    raw.select(0), {}, "Texture class, 0-20 cm");
Map.addLayer(
    raw.select(1), {}, "Texture class, 20-50 cm");

Map.setCenter(25, -3, 2);

Open in Code Editor

iSDAsoil USDA Texture Class

USDA Texture Class at soil depths of 0-20 cm and 20-50 cm. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artifacts such as banding (striping) might be seen. Soil property predictions were made by Innovative Solutions for Decision Agriculture Ltd. (iSDA) at 30 …

ISDASOIL/Africa/v1/texture_class, africa,aluminium,isda,soil

2001-01-01T00:00:00Z/2017-01-01T00:00:00Z

-35.22 -31.46 37.98 57.08

Google Earth Engine

https://developers.google.com/earth-engine/datasets