README

Titel:
Multispectral analysis-ready satellite data for three East African mountain ecosystems

Authors:
Netra Bhandari [1], Lisa Bald [1], Luise Wraase [1] and Dirk Zeuss [1] 

Affiliations
[1] Department of Geography, Environmental Informatics, Philipps-Universität Marburg, Deutschhausstraße 12, 35032 Marburg, Germany 

Date: 17.10.2023

Language: English

Document type:

Cloud Optimized GeoTIFF(.TIF), .json, and text files (.TXT)

Keywords: Sentinel-2, Bale Mountains, Meru, Kilimanjaro, Ethiopia, Tanzania, Mountains, Biodiversity, Ecosystem Services

DFG-Subject: 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 two parts one is Mounts Kilimanjaro and Meru ecosystem represented by "KM" and second is Bale mountains represented as "BM".
Each of those is divided into ANNUAL (FBY) and MONTHLY (FBM) data;


[1] README file

[2] tar file (10 in total): In each tar file there are 34 tif files for Mounts Kilimanjaro and Meru (KM) and 34 tif files for Bale Mountains (BM) for each year 2017,2018,2019,2020, and 2021.  
              		    The files ending with FBY contain yearly data. METADATA for each tif file is provided in .json format (1 for each tif file) with the same name as the tif file is available.
                            The metadata follows the SpatioTemporal Asset Catalogs (STAC) framework. 
			    Example: KM_EPSG32737_SEN2_L3_BOA_2020_FBY.tar contains 34 .tif files and 34 .json files for Mounts Kilimanajaro and Meru for the year 2020 


[2] tar file (70 in total): In each tar file there are 4 or 5 tif files for Mounts Kilimanjaro and Meru (KM) and 4 or 5 tif files for Bale Mountains (BM) for each month of each year 2017,2018,2019,2020, and 2021.  
              		    The files ending with FBM contain monthly data. METADATA for each tif file is provided in .json format (1 for each tif file) with the same name as the tif file is available.
                            The metadata follows the SpatioTemporal Asset Catalogs (STAC) framework. The monthly data is available upon request. For this click on the complete_dataset.bit file. 
			    
			    The bands and indices are splitted according to the following format:
			    FBM_a : B02,B03,B04,B05,B06
			    FBM_b : B07,B08,B8A,B11,B12
			    FBM_c : ARV,CRE,EVI,KNV,MNW
			    FBM_d : MRE,MRN,N1N,N2N,N3N
			    FBM_e : NBR,ND1,ND2,NDB,NDM
			    FBM_f : NDS,NDT,NDV,NDW,NR1
			    FBM_g : NR2,NR3,SAV,SRV
			    Example: KM_EPSG32737_SEN2_L3_BOA_2020_FBM_a.tar contains .tif files and.json files for Mounts Kilimanajaro and Meru for the all months of the year 2020 and includes B02,B03,B04,B05,B06
	       
[3] Workflow: containing stepwise description of data downloading and further processing.

[4] Parameters file : containing all the parameters used for processing Sentinel 2 data - landsat_level2.prm, ls_base.prm, sentinel_level2.prm and sentinel_level3.prm files

[5] Python script: containing code to generate SpatioTemporal Asset Catalogs (STAC) metadata for the tif files.

[6] complete_dataset.bit file: Click on this file to contact us if you want to get access to the monthly data.

List of available bands:
Blue band (B02),
Green band (B03),
Red band (B04),
Red edge 1 band (B05),
Red edge 2 band (B06),
Red edge 3 band (B07),
Broad near-infrared (B08),
Near-infrared band (B8A),
Short-wave infrared 1 band (B11) and
Short-wave infrared 2 band (B12)

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 Atomspherically 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 (KNV),
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)
Modified Simple Ratio red edge (MRE)
Modified Simple Ratio red edge narrow (MRN)
Normalized Difference Red Edge Index 1 (ND1)
Normalized Difference Red Edge Index 2 (ND2)

Version: Version 2.0.0

Funding:

NB 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 (research unit 5064).

LB contributed to this study within the Nature 4.0 project funded by the Hessian State Offensive for the Development of Scientific-economic Excellence (LOEWE).

LW contributed to this study within the "The Mountain Exile Hypothesis" project funded by the German Research Federation (research unit 2358).