Monitoring Vegetation Change in the Presence of High Cloud Cover with Sentinel-2 in a Lowland Tropical Forest Region in Brazil

• Published in: Remote sensing (Basel, Switzerland) Vol. 12; no. 11; p. 1829
• Main Authors: Nazarova, Tatiana, Martin, Pascal, Giuliani, Gregory
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.06.2020
• Subjects: Agricultural expansion; Algorithms; Anthropogenic factors; Artificial intelligence; Artificial neural networks; Biodiversity; Brazil; Burning; Carbon; Carbon sequestration; Classification; Cloud computing; Cloud cover; cloud shadow; conservation areas; Data analysis; Datasets; Deforestation; Ecosystem services; Error correction; Forest degradation; Forest fires; Google Earth Engine; Internet; land cover; Land degradation; landcover; landscapes; Logging; Mapping; mining; Monitoring; Native peoples; Natural vegetation; Neural networks; Protected areas; radar; Radar data; rain forests; Rainforests; Remote sensing; Satellite imagery; Sentinel-2; Temporal resolution; time series analysis; Tropical environment; Tropical environments; Tropical forests; tropics; Vegetation; Brazil

Forests play major roles in climate regulation, ecosystem services, carbon storage, biodiversity, terrain stabilization, and water retention, as well as in the economy of numerous countries. Nevertheless, deforestation and forest degradation are rampant in many parts of the world. In particular, the...