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Full catalog/darnah-flood
darnah-flood·dataset

2023 Derna Flood: Before-and-After Satellite View (Libya)

False Color Pre and Post Flood
hydrosphere NASA VEDA COG
In plain English

What it measures. Shows false-color satellite views of Derna, Libya, before and after the catastrophic September 2023 flood, making water and land stand out clearly.

How it's made. Made from NASA's Harmonized Landsat Sentinel-2 imagery, combining near-infrared, shortwave-infrared, and red light bands.

How & where you'd use it. Lets responders see the flood's reach and the extent of inundation to guide rescue and recovery.

What's measured

darnahflood

Coverage & cadence

  • Time span2023-09-07 → 2023-09-22
  • Spatial extent22.064, 32.429, 23.256, 33.435
  • FormatsCOG

What you can do with it

  • Follow rainfall, floods and surface-water extent
  • Track soil moisture and the onset of drought
  • Monitor lakes, rivers and groundwater storage
Official description

HLS False color using NIR, SWIR, and Red for the 2023 Darnah Flood.

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("darnah-flood")
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).