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

被引:1
|
作者
Bhandari, Netra [1 ]
Bald, Lisa [1 ]
Wraase, Luise [1 ]
Zeuss, Dirk [1 ]
机构
[1] Philipps Univ Marburg, Dept Geog, Environm Informat, Deutschhausstr 12, D-35032 Marburg, Germany
关键词
DIFFERENCE WATER INDEX; BALE-MOUNTAINS; NATIONAL-PARK; SPECTRAL REFLECTANCE; SPECIES RICHNESS; VEGETATION; COVER; NDWI; KILIMANJARO; RESOLUTION;
D O I
10.1038/s41597-024-03283-3
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The East African mountain ecosystems are facing increasing threats due to global change, putting their unique socio-ecological systems at risk. To monitor and understand these changes, researchers and stakeholders require accessible analysis-ready remote sensing data. Although satellite data is available for many applications, it often lacks accurate geometric orientation and has extensive cloud cover. This can generate misleading results and make it unreliable for time-series analysis. Therefore, it needs comprehensive processing before usage, which encompasses multi-step operations, requiring large computational and storage capacities, as well as expert knowledge. Here, we provide high-quality, atmospherically corrected, and cloud-free analysis-ready Sentinel-2 imagery for the Bale Mountains (Ethiopia), Mounts Kilimanjaro and Meru (Tanzania) ecosystems in East Africa. Our dataset ranges from 2017 to 2021 and is provided as monthly and annual aggregated products together with 24 spectral indices. Our dataset enables researchers and stakeholders to conduct immediate and impactful analyses. These applications can include vegetation mapping, wildlife habitat assessment, land cover change detection, ecosystem monitoring, and climate change research.
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页数:14
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