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togo-agriculture-covid-19·dataset

Togo Cropland Map

Togo Agriculture
land NASA VEDA COG
In plain English

What it measures. Shows where cropland is likely located across the country of Togo, pixel by pixel, with brighter colors marking higher odds of farmland. It maps the nation's agricultural land at fine, 10-meter detail.

How it's made. Made by NASA Harvest from Sentinel-2 and Landsat satellite imagery combined with commercial Planet imagery.

How & where you'd use it. Helped Togo target agricultural support to farmers quickly during the COVID-19 pandemic.

What's measured

togoagriculturecovid

Coverage & cadence

  • Time span2020-01-01 → 2020-12-31
  • Spatial extent-0.147, 6.104, 1.807, 11.139
  • 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

NASA Harvest developed a national-level, satellite-derived cropland map for Togo at 10-meter resolution within a 10-day timeframe using data from the European Space Agency’s Copernicus Sentinel 2 satellite, the NASA-USGS Landsat satellites, and with data from commercial partner Planet Inc. Dark purple colors indicate lower probability of cropland while lighter yellow colors indicate higher probability of cropland within each pixel.

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("togo-agriculture-covid-19")
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).