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Full catalog/soil-texture
soil-texture·dataset

World Soil Texture Map

ISRIC World Soil Texture Classification
land NASA VEDA COG
In plain English

What it measures. Shows the type of soil at the ground surface around the world, sorted into 12 categories from clay to sand and mixes in between. It tells you whether soil in a place is sandy, silty, clayey, or loamy.

How it's made. Made from ISRIC's global soil database classification of surface soils.

How & where you'd use it. Helps scientists and farmers understand how soils hold water, drain, and support crops.

What's measured

soiltexture

Coverage & cadence

  • Time span2017-01-01 → 2017-01-01
  • Spatial extent-180, -56.001, 180, 83.999
  • FormatsCOG

What you can do with it

  • Track deforestation, fire scars and land-cover change
  • Monitor crop and vegetation health (NDVI/EVI)
  • Map how built-up vs. green an area is over time
Official description

ISRIC World Soil Texture Classification at the surface level. Broken into 12 classes of 1:Cl, 2:SiCl, 3:SaCl, 4:ClLo, 5:SiClLo, 6:SaClLo, 7:Lo, 8:SiLo, 9:SaLo, 10:Si, 11:LoSa, 12:Sa.

Get the data

veda_access.py
# NASA VEDA — open STAC API, anonymous (cloud-optimized GeoTIFFs)
from pystac_client import Client

cat = Client.open("https://openveda.cloud/api/stac")
col = cat.get_collection("soil-texture")
items = list(col.get_items())          # browse the analysis-ready COGs
# open an asset with rioxarray:
# import rioxarray; da = rioxarray.open_rasterio(items[0].assets["cog_default"].href)
NASA VEDA is an open STAC catalog — browse and stream the cloud-optimized GeoTIFFs anonymously (no login).