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A Data Descriptor for Black Tea Fermentation Dataset
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Data Descriptor

A Sentinel-2 Dataset for Uganda

Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, 22362 Lund, Sweden
Academic Editor: Jamal Jokar Arsanjani
Received: 15 February 2021 / Revised: 17 March 2021 / Accepted: 18 March 2021 / Published: 30 March 2021
(This article belongs to the Section Spatial Data Science and Digital Earth)
Earth observation data provide useful information for the monitoring and management of vegetation- and land-related resources. The Framework for Operational Radiometric Correction for Environmental monitoring (FORCE) was used to download, process and composite Sentinel-2 data from 2018–2020 for Uganda. Over 16,500 Sentinel-2 data granules were downloaded and processed from top of the atmosphere reflectance to bottom of the atmosphere reflectance and higher-level products, totalling > 9 TB of input data. The output data include the number of clear sky observations per year, the best available pixel composite per year and vegetation indices (mean of EVI and NDVI) per quarter. The study intention was to provide analysis-ready data for all of Uganda from Sentinel-2 at 10 m spatial resolution, allowing users to bypass some basic processing and, hence, facilitate environmental monitoring. View Full-Text
Keywords: Sentinel-2; Uganda; FORCE; EVI; NDVI; earth observation; environmental monitoring Sentinel-2; Uganda; FORCE; EVI; NDVI; earth observation; environmental monitoring
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MDPI and ACS Style

Ardö, J. A Sentinel-2 Dataset for Uganda. Data 2021, 6, 35.

AMA Style

Ardö J. A Sentinel-2 Dataset for Uganda. Data. 2021; 6(4):35.

Chicago/Turabian Style

Ardö, Jonas. 2021. "A Sentinel-2 Dataset for Uganda" Data 6, no. 4: 35.

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