10.5878/bc12-w579
Ardö, Jonas
Jonas
Ardö
0000-0002-9318-0973
Physical Geography and Ecosystem Science, Lund University
Sentinel-2 Data set for Uganda
Sentinel-2 data för Uganda
Lund University
2021
Land Surface
Land Surface
Reflectance
Reflectance
passive remote sensing system
remote sensing data
Earth Science
Earth Science
Surface Radiative Properties
Surface Radiative Properties
device
imagery
Science Keywords
Science Keywords
spatial method
infrastructure
infrastruktur
method
metod
Earth observation data
Jordobservationsdata
Earth and Related Environmental Sciences
Geovetenskap och miljövetenskap
Physical Geography
Naturgeografi
Imagery / Base Maps / Earth Cover
Arealtäckande bilder och bakgrundskartor
Natural Sciences
Naturvetenskap
2021-03-29
2018-01-01/2020-12-31
eng
10.5878/0x57-az84
436.77 KiB
1
Creative Commons Attribution 4.0 International (CC BY 4.0)
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
Optiska ’top of the atmosphere’ reflektans data från jordresurssatelliten Sentinel-2 för Uganda (2018-2020) laddades ner och processerades på ett systematiskt sätt till ’ bottom of the atmosphere’ reflektans med den öppna mjukvaran FORCE (Framework for Operational Radiometric Correction for Environmental monitoring, se https://force-eo.readthedocs.io/en/latest/). För varje år (2018-2020) beräknades antalet molnfria observationer och en bäst tillgänglig pixel mosaik skapades. För varje kvartal (12 totalt) beräknades för två vegetations index (EVI = Enhanced Vegetation Index och NDVI= Normalized Difference Vegetation Index) ett antal relevanta mått (minimum, maximum, medelvärde,standard avvikelse, 5%-, 50%- (median) och 95%-kvantiler). Data har 10 meters rumslig upplösning och är i GeoTIFF format.
Data är lämpliga för studier av framförallt vegetation och vegetationsförändringar. Mer information och detaljer i artikel publicerad i Data (https://www.mdpi.com/journal/data), 'submitted' 2021-02-15
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-1.5379013
35.112305
4.5654736
29.421421
4.5654736
32.266865
1.5137862
Uganda
Sub-Saharan Africa
Africa
Sweden’s government agency for development cooperation
303
Lund University, Faculty of Science
Infrastrukturmedel, Dnr V 2015/2152