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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.

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Summary
This summary is machine-generated.

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.

Keywords:
BRDF correctionCopernicus Sentinel-2annual changecloud free compositecloud maskpixel-based classification

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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.