A Sentinel-2 Data Set for Uganda

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Creator/Principal investigator(s)

Jonas Ardö - Lund University, Physical Geograpy and Ecosystem Science orcid

Description

Optical top of the atmosphere reflectance data from the Earth resource satellite Sentinel-2 for Uganda (2018-2020) was downloaded and processed in a systematic way to bottom of the atmosphere reflectance with the open software FORCE (Framework for Operational Radiometric Correction for Environmental monitoring, see https://force-eo.readthedocs.io/en/latest/). For each year (2018-2020), the number of clear sky observations were calculated and a best available pixel mosaic were created. For each quarter (12 in total), for two vegetation indices (EVI = Enhanced Vegetation Index and NDVI = Normalized Difference Vegetation Index) a number of relevant measures were calculated (minimum, maximum, mean, standard deviation, 5%, 50% (median) and 95% quantiles). The data have 10-meter spatial resolution and are stored in GeoTIFF format.
Data are suitable for studies of vegetation and vegetation changes. More information and details in article published in Data (https://www.mdpi.com/journal/data), 'submitted' 2021-02-15

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Creator/Principal investigator(s)

Jonas Ardö - Lund University, Physical Geograpy and Ecosystem Science orcid

Identifiers

SND-ID: 2021-50

Description

Optical top of the atmosphere reflectance data from the Earth resource satellite Sentinel-2 for Uganda (2018-2020) was downloaded and processed in a systematic way to bottom of the atmosphere reflectance with the open software FORCE (Framework for Operational Radiometric Correction for Environmental monitoring, see https://force-eo.readthedocs.io/en/latest/). For each year (2018-2020), the number of clear sky observations were calculated and a best available pixel mosaic were created. For each quarter (12 in total), for two vegetation indices (EVI = Enhanced Vegetation Index and NDVI = Normalized Difference Vegetation Index) a number of relevant measures were calculated (minimum, maximum, mean, standard deviation, 5%, 50% (median) and 95% quantiles). The data have 10-meter spatial resolution and are stored in GeoTIFF format.
Data are suitable for studies of vegetation and vegetation changes. More information and details in article published in Data (https://www.mdpi.com/journal/data), 'submitted' 2021-02-15

Language

English

Time period(s) investigated

2018-01-01 — 2020-12-31

Geographic spread

Geographic location: Uganda

Geographic description: Uganda

Data contains personal data

No

Funding

Funding agency: Lund University, Faculty of Science

Funding agency’s reference number: Infrastrukturmedel, Dnr V 2015/2152

Funding agency: Sweden’s government agency for development cooperation

Funding agency’s reference number: 303

Contact for questions about the data

Associated documentation

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Version 1

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License

Creative Commons  Attribution 4.0 International (CC BY 4.0)

A Sentinel-2 Data Set for Uganda

Citation

Jonas Ardö. Lund University, Physical Geograpy and Ecosystem Science (2021). <em>A Sentinel-2 Data Set for Uganda</em>. Swedish National Data Service. Version 1. <a href="https://doi.org/10.5878/bc12-w579">https://doi.org/10.5878/bc12-w579</a>

Creator/Principal investigator(s)

Jonas Ardö - Lund University, Physical Geograpy and Ecosystem Science orcid

Description

Optical top of the atmosphere reflectance data from the Earth resource satellite Sentinel-2 for Uganda (2018-2020) was downloaded and processed in a systematic way to bottom of the atmosphere reflectance with the open software FORCE (Framework for Operational Radiometric Correction for Environmental monitoring, see https://force-eo.readthedocs.io/en/latest/). For each year (2018-2020), the number of clear sky observations were calculated and a best available pixel mosaic were created. For each q

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Data format / data structure

Geospatial

Time period(s) investigated

2018-01-01 — 2020-12-31

Published: 2021-03-29