~/talk

Measuring Economy with Open Earth Observations

Talkat Conf42 Python 2021 · on Thursday, 2021-05-27· [data-science, machine-learning]
github:abhap12
name:Apsal
links:none on file
slides:none on file

Open Earth Observation data is used to quantify economic activity: NO2 from Sentinel-5P shows clear drops after COVID lockdowns across India, China and Germany; Sentinel-2 plus the Python xarray/xcube stack, Overpass OSM and thresholded band ratios detect trucks at ~10 m resolution, estimating Vishakhapatnam truck counts falling from 1,051 (2019) to 771 (2020), a 26% drop; a logging-alert app flags Amazon deforestation in near real time; surface water area and counts use Google Earth Engine, NDWI and OpenCV connected components. Limitations: cloud cover, 10 m resolution and sensor revisit gaps.

AI-written summary · about

  1. 0:00Measuring economy with open earth observations
  2. 2:21Pollution as economic indicator
  3. 5:57Water quality and aquatic life
  4. 7:21Deforestation tracking with logging detection
  5. 8:23Vehicle density on highways
  6. 10:50Counting trucks with Sentinel-2
  7. 17:57Surface water monitoring with Google Earth Engine
  8. 22:10Limitations of open earth observation data
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