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A sentinel-2 dataset for Uganda

Ardö, Jonas LU orcid (2021) In Data 6(4).
Abstract

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... (More)

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.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Earth observation, Environmental monitoring, EVI, FORCE, NDVI, Sentinel-2, Uganda
in
Data
volume
6
issue
4
article number
35
publisher
MDPI AG
external identifiers
  • scopus:85125667678
DOI
10.3390/data6040035
language
English
LU publication?
yes
id
dba0571b-6ff5-48b8-9daf-7101cad6100a
date added to LUP
2024-12-03 12:21:45
date last changed
2025-04-04 15:26:02
@article{dba0571b-6ff5-48b8-9daf-7101cad6100a,
  abstract     = {{<p>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 &gt; 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.</p>}},
  author       = {{Ardö, Jonas}},
  keywords     = {{Earth observation; Environmental monitoring; EVI; FORCE; NDVI; Sentinel-2; Uganda}},
  language     = {{eng}},
  number       = {{4}},
  publisher    = {{MDPI AG}},
  series       = {{Data}},
  title        = {{A sentinel-2 dataset for Uganda}},
  url          = {{http://dx.doi.org/10.3390/data6040035}},
  doi          = {{10.3390/data6040035}},
  volume       = {{6}},
  year         = {{2021}},
}