@article{JRC124993,
	address = {AMSTERDAM (NETHERLANDS)},
	year = {2021},
	author = {Simonetti D and Pimple U and Langner A and Marelli A},
	abstract = {Sentinel-2 MSI is one of the core missions of the Copernicus Earth Observation programme of the European Union. This mission shows great potential to map the regional high-resolution spatio-temporal dynamics of land use and land cover. In tropical regions, despite the high revisiting time of 5 days including both Sentinel-2A and 2B satellites, the frequent presence of clouds, cloud-shadows, haze and other atmospheric contaminants are precluding the visibility of the Earth surface up to several months. In this paper we present four annual pan-tropical cloud-free composites computed and exported from Google Earth Engine (GEE) by making use of available Sentinel-2 L1C collection for the period spanning from 2015 to 2020. We furthermore propose empirical approaches to reduce the BRDF effect over tropical forest areas by showing pros and cons of image-based versus swath-based methodologies. Additionally, we provide a dedicated web-platform offering a fast and intuitive way to browse and explore the proposed annual composites as well as layers of potential annual changes as a ready-to-use means to visually identify and verify degradation and deforestation activities as well as other land cover changes.
		},
	title = {Pan-tropical Sentinel-2 cloud-free annual composite datasets},
	type = {Full paper},
	url = {https://www.sciencedirect.com/science/article/pii/S2352340921007691},
	volume = {39},
	number = {},
	journal = {DATA IN BRIEF},
	pages = {107488},
	issn = {2352-3409 (online)},
	publisher = {ELSEVIER},
	doi = {10.1016/j.dib.2021.107488 (online)}
}