Data of PhD thesis 'Bridging the Data Gap: Revealing Water Quality Through Remote Sensing and Citizen Science'

This dataset supports the PhD thesis titled "Bridging the Data Gap: Revealing Water Quality Through Remote Sensing and Citizen Science." It contains all original and derived data used for assessing inland water quality in data-scarce environments. The data was collected, processed, and analyzed in the context of three case studies:
Lake Nicaragua (satellite product intercomparison)
Lake Titicaca (regional algorithm validation and historical trend analysis)
Chojasivi community (citizen science initiative)
The overarching goal of this dataset is to support reproducibility, foster methodological transparency, and enable future studies on water quality monitoring, atmospheric correction evaluation, and community-driven environmental data collection.

This dataset supports the PhD thesis titled "Bridging the Data Gap: Revealing Water Quality Through Remote Sensing and Citizen Science." It contains all original and derived data used for assessing inland water quality in data-scarce environments. The data was collected, processed, and analyzed in the context of three case studies:
Lake Nicaragua (satellite product intercomparison)
Lake Titicaca (regional algorithm validation and historical trend analysis)
Chojasivi community (citizen science initiative)
The overarching goal of this dataset is to support reproducibility, foster methodological transparency, and enable future studies on water quality monitoring, atmospheric correction evaluation, and community-driven environmental data collection.

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