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High-resolution subsidence maps and data for whole Afghanistan, and, in a higher resolution, for Kabul and Ghazni provinces (2015-2022)

Urheber*innen
/persons/resource/najib

Kakar,  Najibullah
1.2 Global Geomonitoring and Gravity Field, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/metzger

Metzger,  Sabrina
4.1 Lithosphere Dynamics, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/tschoene

Schöne,  T.
1.2 Global Geomonitoring and Gravity Field, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/motagh

Motagh,  M.
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Nasrat,  Nasir Ahmad
External Organizations;

Lazecky,  Milan
External Organizations;

Amelung ,  Falk
External Organizations;

Bookhagen,  Bodo
External Organizations;

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Zitation

Kakar, N., Metzger, S., Schöne, T., Motagh, M., Nasrat, N. A., Lazecky, M., Amelung, F., Bookhagen, B. (2024): High-resolution subsidence maps and data for whole Afghanistan, and, in a higher resolution, for Kabul and Ghazni provinces (2015-2022).
https://doi.org/10.5880/GFZ.1.2.2024.001


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5029157
Zusammenfassung
We present high-resolution subsidence maps for whole Afghanistan, and, in a higher resolution, for Kabul and Ghazni provinces. These data are complemented by wells water level time-series and precipitation data of Kabul, and time-series of mapped solar panel arrays, mapped Kariz networks, mapped desiccation cracks of 2022, and the Normalized Difference Vegetation Index (NDVI) of Ghazni province. The subsidence maps result from a small-baseline (SBAS) time-series analysis (Lazecky et al., 2020; Morishita et al., 2020; Yunjun et al., 2019) of ~7 years of freely available Sentinel-1 radar data. The monthly wells water level time-series 2013-2022 were digitized from the log data of the Afghan Ministry of Water and Energy. The NDVI data 2015-2022 were derived from Sentinel-2 optical imagery. The solar panel arrays were mapped on high-resolution online Google Earth Pro imagery data in 2016, 2019 and 2022. More details of data processing and methods can be found in (Kakar et al., 2023), currently under review at AGU Water Resources. The jupyter notebook documents the creation of key figures.