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recovery-proxy-maps-covid-19·dataset

COVID-19 Economic Recovery Maps

Recovery Proxy Maps
land NASA VEDA COG
In plain English

What it measures. Highlights where car traffic and activity rebounded the most, shaded in orange, with darker orange marking the biggest increases — used as a stand-in for economic recovery during COVID-19.

How it's made. Derived from satellite observations of changes in vehicle and surface activity over time.

How & where you'd use it. Offers a quick read on how communities and economies bounced back after pandemic disruptions.

What's measured

recoveryproxymapscovid

Coverage & cadence

  • Time span2020-01-01 → 2020-12-31
  • Spatial extent-122.953, -7.336, 140.82, 51.424
  • 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

Recovery Proxy Maps show areas with the greatest increase in car activity shaded in orange. Darker orange indicates areas of greater change.

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("recovery-proxy-maps-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).