Sentinel-2 data for Bale Mountains, Arusha and Kilimanjaro National Park

{"last":"Bhandari","first":"Netra","affiliation":"Environmental Informatics, FB19 Geography, University of Marburg","id":"orcid","id_value":"0000-0002-1996-0752"}; {"last":"Bald","first":"Lisa","affiliation":"Environmental Informatics, FB19 Geography, University of Marburg","id":"orcid","id_value":"0000-0002-3170-7856"}; {"last":"Wraase","first":"Luise","affiliation":"Environmental Informatics, FB19 Geography, University of Marburg","id":"orcid","id_value":"0000-0002-5160-2381"}

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Sentinel-2 data for Bale Mountains, Arusha and Kilimanjaro National Park

dc.contributor	{"last":"Zeuss","first":"Dirk","role":"Supervisor","affiliation":"Environmental Informatics, FB19 Geography, University of Marburg","id":"orcid","id_value":"0000-0001-6457-2866"}
dc.contributor.author	{"last":"Bhandari","first":"Netra","affiliation":"Environmental Informatics, FB19 Geography, University of Marburg","id":"orcid","id_value":"0000-0002-1996-0752"}
dc.contributor.author	{"last":"Bald","first":"Lisa","affiliation":"Environmental Informatics, FB19 Geography, University of Marburg","id":"orcid","id_value":"0000-0002-3170-7856"}
dc.contributor.author	{"last":"Wraase","first":"Luise","affiliation":"Environmental Informatics, FB19 Geography, University of Marburg","id":"orcid","id_value":"0000-0002-5160-2381"}
dc.date.accessioned	2023-03-22T13:25:25Z
dc.date.available	2023-03-22T13:25:25Z
dc.description	Our data provides a readme file and multiple .tar files of Sentinel-2 analysis-ready satellite data divided by each of the three East African national parks namely: Bale Mountains National Park (BMNP) in Ethiopia, Arusha National Park (ANP) and Kilimanjaro National Park (KNP) in Tanzania. In the .tar files are the GeoTiffs structured into monthly and annual products including ten spectral images (red, green, blue, broad near-infrared, near-infrared, red edge 1-3, and shortwave-infrared 1-2) as well as 22 calculated spectral indices. For the full list of indices please refer to the readme file. Additionally, the workflow and parameters files are attached, that were used to generate the analysis-ready data. The data can be unzipped and each GeoTiff can be read in an Geographic Information System (GIS) software or using programming languages like R or python.	de_DE
dc.description.sponsorship	{"funderName":"Deutsche Forschungsgemeinschaft (DFG) \|\| FOR 5064"}
dc.description.sponsorship	{"funderName":"Deutsche Forschungsgemeinschaft (DFG) \|\| FOR 2358"}
dc.description.sponsorship	{"funderName":"Hessian State Offensive for the Development of Scientific-economic Excellence (LOEWE) \|\| Nature 4.0"}
dc.description.version	Version 1.0	de_DE
dc.identifier.doi	http://dx.doi.org/10.17192/fdr/166
dc.identifier.uri	https://data.uni-marburg.de/handle/dataumr/228
dc.language.iso	eng	de_DE
dc.rights	Creative Commons Attribution 4.0
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.subject	Sentinel-2	de_DE
dc.subject	Bale Mountains	de_DE
dc.subject	Arusha	de_DE
dc.subject	Kilimanjaro	de_DE
dc.subject	Ethiopia	de_DE
dc.subject	Tanzania	de_DE
dc.subject	Mountains	de_DE
dc.subject	Biodiversity	de_DE
dc.subject	Nature's Contributions to People (NCP)	de_DE
dc.subject.classification	317-01 Physische Geographie	de_DE
dc.subject.classification	317-02 Humangeographie	de_DE
dc.subject.ddc	910
dc.title	Sentinel-2 data for Bale Mountains, Arusha and Kilimanjaro National Park	de_DE
dc.type	Dataset	de_DE
dc.type	Text	de_DE
dc.type	Image	de_DE
local.metadata.public	yes
local.umr.fachbereich	FB19:Geographie	de_DE