LEVERAGING GEOSPATIAL DATA FOR TRACKING WATER FROM SPACE USING PYTHON PROGRAMMING
J. Indu
Water does not flow according to geographical boundaries but it follows
elevation. Inland waters from rivers and lakes present crucial natural
resources playing an indispensable role in the global hydrological cycle.
Still, their conventional monitoring is constrained by poor spatial
coverage. Though satellites help improve coverage, the hydraulic properties
of rivers often change at a rate faster than the temporal sampling of
satellites. Through this talk, two novel web applications are introduced
for rivers and lakes built using geospatial datasets and python. While the
first shall seamlessly extract time series of water surface area for
rivers, lakes and reservoirs from Sentinel-1 VV polarized SAR data. The
second application shall integrate dynamic lake water extents for improving
lake water surface temperatures, thereby challenging conventional norms.