README Title: Multispectral analysis-ready satellite data for three mountain national parks of East Africa Authors: Netra Bhandari [1], Lisa Bald [1], Luise Wraase [1] and Dirk Zeuss [1] Affiliations: Department of Geography | Fachbereich 19 Geographie [1] Department of Geography, Environmental Informatics, Philipps-Universität Marburg, Deutschhausstraße 12, 35032 Marburg, Germany Date: 28.04.2023 Language: English Document type: TAR files (.tar), GeoTIFF files (.tif) and text files (.txt) Keywords: Sentinel-2, Bale Mountains, Arusha, Kilimanjaro, Ethiopia, Tanzania, Mountains, Biodiversity, Nature's Contributions to People (NCP) DFG-Subject: Natural Sciences - Geography - Physical Geography, FK-Nr. 317-01 Description: The dataset is generally separated in data and additional information on the original file processing. Data has three additional subsection one per each of the three national park (Bale Mountains [BMNP], Arusha [ANP] and Kilimanjaro [KNP]). Each of those is divided into ANNUAL and MONTHLY data; and only the BMNP_MONTHLY is divided further into A and B. [1] README file: containing all meta data information [2] TAR file: containing the workflow.txt file, landsat_level2.prm, ls_base.prm, sentinel_level2.prm and sentinel_level3.prm files WORKFLOW_PARAMS [3] TAR file: National Park ANNUAL, 160x files; 32x one-layer GeoTIFFs format for each year (2017,2018,2019,2020,2021) BMNP_ANNUAL_2017-2021 [4] TAR file: National Park MONTHLY, one file contains 16x twelve-layer images as GeoTIFF format for months of the year 2017 BMNP_MONTHLY_2017_A [5] TAR file: National Park MONTHLY, one file contains 16x twelve-layer images as GeoTIFF format for months of the year 2017 BMNP_MONTHLY_2017_B [6] TAR file: National Park MONTHLY, one file contains 16x twelve-layer images as GeoTIFF format for months of the year 2018 BMNP_MONTHLY_2018_A [7] TAR file: National Park MONTHLY, one file contains 16x twelve-layer images as GeoTIFF format for months of the year 2018 BMNP_MONTHLY_2018_B [8] TAR file: National Park MONTHLY, one file contains 16x twelve-layer images as GeoTIFF format for months of the year 2019 BMNP_MONTHLY_2019_A [9] TAR file: National Park MONTHLY, one file contains 16x twelve-layer images as GeoTIFF format for months of the year 2019 BMNP_MONTHLY_2019_B [10] TAR file: National Park MONTHLY, one file contains 16x twelve-layer images as GeoTIFF format for months of the year 2020 BMNP_MONTHLY_2020_A [11] TAR file: National Park MONTHLY, one file contains 16x twelve-layer images as GeoTIFF format for months of the year 2020 BMNP_MONTHLY_2020_B [12] TAR file: National Park MONTHLY, one file contains 16x twelve-layer images as GeoTIFF format for months of the year 2021 BMNP_MONTHLY_2021_A [13] TAR file: National Park MONTHLY, one file contains 16x twelve-layer images as GeoTIFF format for months of the year 2021 BMNP_MONTHLY_2021_B [14] TAR file: National Park ANNUAL, 160x files; 32x one-layer GeoTIFFs format for each year (2017,2018,2019,2020,2021) ANP_ANNUAL_2017-2021 [15] TAR file: National Park MONTHLY, one file contains 32x twelve-layer images as GeoTIFF format for months of the year 2017 ANP_MONTHLY_2017 [16] TAR file: National Park MONTHLY, one file contains 32x twelve-layer images as GeoTIFF format for months of the year 2018 ANP_MONTHLY_2018 [17] TAR file: National Park MONTHLY, one file contains 32x twelve-layer images as GeoTIFF format for months of the year 2019 ANP_MONTHLY_2019 [18] TAR file: National Park MONTHLY, one file contains 32x twelve-layer images as GeoTIFF format for months of the year 2020 ANP_MONTHLY_2020 [19] TAR file: National Park MONTHLY, one file contains 32x twelve-layer images as GeoTIFF format for months of the year 2021 ANP_MONTHLY_2021 [20] TAR file: National Park ANNUAL, 160x files; 32x one-layer GeoTIFFs format for each year (2017,2018,2019,2020,2021) KNP_ANNUAL_2017-2021 [21] TAR file: National Park MONTHLY, one file contains 32x twelve-layer images as GeoTIFF format for months of the year 2017 KNP_MONTHLY_2017 [22] TAR file: National Park MONTHLY, one file contains 32x twelve-layer images as GeoTIFF format for months of the year 2018 KNP_MONTHLY_2018 [23] TAR file: National Park MONTHLY, one file contains 32x twelve-layer images as GeoTIFF format for months of the year 2019 KNP_MONTHLY_2019 [24] TAR file: National Park MONTHLY, one file contains 32x twelve-layer images as GeoTIFF format for months of the year 2020 KNP_MONTHLY_2020 [25] TAR file: National Park MONTHLY, one file contains 32x twelve-layer images as GeoTIFF format for months of the year 2021 KNP_MONTHLY_2021 List of available indices: Normalized Difference Vegetation Index (NDV), Enhanced Vegetation Index (EVI), Normalized Burn Ratio (NBR), Soil Adjusted Vegetation Index (SAV), Soil Adjusted and Atmospherically Resistant Vegetation Index (SRV), Atmospherically Resistant Vegetation Index (ARV), Normalized Difference Built-up Index (NDB), Normalized Difference Water Index (NDW), Modified Normalized Difference Water Index (MNW), Normalized Difference Snow Index (NDS), Normalized Difference Tillage Index (NDT), Normalized Difference Moisture Index (NDM), Kernel Normalized Difference Vegetation Index (MNW), Chlorophyll Index - Red Edge (CRE), Normalized Difference Vegetation Index red-edge 1 (NR1), Normalized Difference Vegetation Index red-edge 2 (NR2), Normalized Difference Vegetation Index red-edge 3 (NR3), Normalized Difference Vegetation Index red-edge 1 narrow (N1N), Normalized Difference Vegetation Index red-edge 2 narrow (N2N), and Normalized Difference Vegetation Index red-edge 3 narrow (N3N) List of available bands: Red band (RED), Blue band (BLU), Broad near-infrared (BNR), Green band (GRN), Near-infrared band (NIR), Red edge 1 band (RE1), Red edge 2 band (RE2), Red edge 3 band (RE3), Short-wave infrared 1 band (SW1) and Short-wave infrared 2 band (SW2) Version: Version 1.2 Funding: Netra Bhandari contributed to this study within the “The role of nature for human well-being in the Kilimanjaro Socio Ecological Systems” project funded by the German Research Federation (Deutsche Forschungsgemeinschaft - research unit 5064). Lisa Bald contributed to this study within the Nature 4.0 project funded by the Hessian State Offensive for the Development of Scientific-economic Excellence (LOEWE). Luise Wraase contributed to this study within the "The Mountain Exile Hypothesis" project funded by the German Research Federation (Deutsche Forschungsgemeinschaft- research unit 2358).