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

DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00006644
URN to cite this document: urn:nbn:de:bvb:703-epub-6644-8

Title data

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. Vol. 19 (2022) Issue 6 . - pp. 1699-1716.
ISSN 1993-0321
DOI der Verlagsversion: https://doi.org/10.1007/s11629-021-7297-y

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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.

Further data

Item Type: Article in a journal
Keywords: Land cover change; Floods; Natural hazards; BFAST; Chitral; Pakistan
DDC Subjects: 500 Science > 500 Natural sciences
900 History and geography
900 History and geography > 910 Geography, travel
Institutions of the University: Faculties > Faculty of Biology, Chemistry and Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Chair Geomorphology
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Chair Geomorphology > Chair Geomorphology - Univ.-Prof. Dr. Oliver Sass
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Professor Climatology
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Professor Climatology > Professor Climatology - Univ.-Prof. Dr. Cyrus Samimi
Profile Fields > Advanced Fields > Ecology and the Environmental Sciences
Research Institutions > Research Centres > Bayreuth Center of Ecology and Environmental Research- BayCEER
Faculties
Profile Fields
Profile Fields > Advanced Fields
Research Institutions
Research Institutions > Research Centres
Language: English
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-epub-6644-8
Date Deposited: 14 Sep 2022 09:09
Last Modified: 14 Sep 2022 09:10
URI: https://epub.uni-bayreuth.de/id/eprint/6644

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