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Pan-tropical Sentinel-2 cloud-free annual composite datasets.
D Simonetti1, U Pimple2, A Langner1
1European Commission, Joint Research Centre, Ispra, VA 21027, Italy.
Data in Brief
|November 3, 2021
Summary
This study presents annual cloud-free Sentinel-2 composites for tropical regions, overcoming cloud cover issues. A web platform is also provided for easy land cover change monitoring.
Area of Science:
- Earth Observation
- Remote Sensing
- Geospatial Analysis
Background:
- Sentinel-2 MSI offers high-resolution land use and land cover mapping potential.
- Cloud cover in tropical regions frequently obscures Earth's surface for months.
- Existing Sentinel-2 data limitations hinder consistent tropical monitoring.
Purpose of the Study:
- To generate annual, pan-tropical, cloud-free Sentinel-2 composites.
- To address atmospheric contaminants and BRDF effects in tropical regions.
- To develop a user-friendly platform for land cover change analysis.
Main Methods:
- Utilized Google Earth Engine (GEE) with Sentinel-2 L1C data (2015-2020).
- Developed empirical approaches to mitigate Bidirectional Reflectance Distribution Function (BRDF) effects.
- Implemented image-based and swath-based BRDF correction methodologies.
Main Results:
- Generated four annual pan-tropical cloud-free composites.
- Evaluated pros and cons of different BRDF reduction techniques.
- Created a web platform for exploring composites and change detection layers.
Conclusions:
- Cloud-free Sentinel-2 composites are feasible for tropical regions.
- BRDF correction is crucial for accurate tropical forest analysis.
- The developed platform facilitates visual identification of land cover changes, including deforestation.
Keywords:
BRDF correctionCopernicus Sentinel-2annual changecloud free compositecloud maskpixel-based classificationMore Related Videos
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