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Detecting abrupt change in land cover in the eastern Hindu Kush region using Landsat time series (1988–2020)

Titelangaben

Khan, Saeed Akhtar ; Vanselow, Kim A. ; Sass, Oliver ; Samimi, Cyrus:
Detecting abrupt change in land cover in the eastern Hindu Kush region using Landsat time series (1988–2020).
In: Journal of Mountain Science. Bd. 19 (2022) Heft 6 . - S. 1699-1716.
ISSN 1993-0321
DOI: https://doi.org/10.1007/s11629-021-7297-y

Volltext

Link zum Volltext (externe URL): Volltext

Abstract

Land cover change in the semi-arid environment of the eastern Hindu Kush region is driven by anthropogenic activities and environmental change impacts. Natural hazards, such as floods presumably influenced by climatic change, cause abrupt change of land cover. So far, little research has been conducted to investigate the spatiotemporal aspects of this abrupt change in the valleys. In order to explore the abrupt change in land cover and floods as its possible drivers in the eastern Hindu Kush, a semi-arid mountain region characterized by complex terrain, vegetation variation, and precipitation seasonality, we analyzed long-term Landsat image time series from 1988 to 2020 using Breaks For Additive Seasonal and Trend (BFAST). Overall, BFAST effectively detected abrupt change by using Landsat-derived Modified Soil Adjusted Vegetation Index (MSAVI). The results of our study indicate that approximately 95% of the study area experienced at least one abrupt change during 1988–2020. The years 1991, 1995, 1998, 2007, and 2016 were detected as the peak years, with the peaks occurring in different seasons. The annual trend of abrupt change is decreasing for the study area. The seasonality of abrupt change at the catchment level shows an increasing trend in the spring season for the southern catchments of Panjkora and Swat. The spatial distribution patterns show that abrupt change is primarily concentrated in the floodplains indicating that flooding is the primary driver of the land cover change in the region. We also demonstrated the accurate detection of past flood events (2015) based on the two case examples of Ayun, Rumbur, and Kalash valleys. The detection of the flood events was verified by fieldwork and historical high-resolution Google Earth imagery. Finally, our study provides an example of applying Landsat time series in a dry mountain region to detect abrupt changes in land cover and analyze impact of natural hazards such as floods.

Weitere Angaben

Publikationsform: Artikel in einer Zeitschrift
Begutachteter Beitrag: Ja
Keywords: Land cover change; Floods; Natural hazards; BFAST; Chitral; Pakistan
Institutionen der Universität: Fakultäten > Fakultät für Biologie, Chemie und Geowissenschaften
Fakultäten > Fakultät für Biologie, Chemie und Geowissenschaften > Fachgruppe Geowissenschaften
Fakultäten > Fakultät für Biologie, Chemie und Geowissenschaften > Fachgruppe Geowissenschaften > Lehrstuhl Geomorphologie
Fakultäten > Fakultät für Biologie, Chemie und Geowissenschaften > Fachgruppe Geowissenschaften > Lehrstuhl Geomorphologie > Lehrstuhl Geomorphologie - Univ.-Prof. Dr. Oliver Sass
Fakultäten > Fakultät für Biologie, Chemie und Geowissenschaften > Fachgruppe Geowissenschaften > Professur Klimatologie
Fakultäten > Fakultät für Biologie, Chemie und Geowissenschaften > Fachgruppe Geowissenschaften > Professur Klimatologie > Professur Klimatologie - Univ.-Prof. Dr. Cyrus Samimi
Profilfelder > Advanced Fields > Ökologie und Umweltwissenschaften
Forschungseinrichtungen > Forschungszentren > Bayreuther Zentrum für Ökologie und Umweltforschung - BayCEER
Fakultäten
Profilfelder
Profilfelder > Advanced Fields
Forschungseinrichtungen
Forschungseinrichtungen > Forschungszentren
Titel an der UBT entstanden: Ja
Themengebiete aus DDC: 500 Naturwissenschaften und Mathematik > 500 Naturwissenschaften
900 Geschichte und Geografie
900 Geschichte und Geografie > 910 Geografie, Reisen
Eingestellt am: 12 Mai 2022 08:05
Letzte Änderung: 14 Sep 2022 09:10
URI: https://eref.uni-bayreuth.de/id/eprint/69596