SYNTHETIC GEOAI CASE STUDY
Lake Change Monitor
A transparent illustration of how same-season observations, cloud filtering, and a robust trend can support lake-change screening.
Dry-season water area, 2022–2026
−11.1%
Estimated same-season change
−5.0 ha/yr
Robust Theil–Sen trend
10
Usable dry-season observations
How to read this
The example compares dry-season measurements across five years and excludes cloud-contaminated monsoon observations. Lower rainfall may be consistent with part of a decline, but it does not establish cause.
All observations shown are synthetic. This demo is not a finding about Ambazari Lake and should not be used for environmental decisions.
View the reproducible dataset →