Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.13091/5374
Title: | Seyfe lake seasonal drought analysis for the winter and summer periods between 2017 and 2022 | Authors: | Makineci, Hasan Bilgehan Arikan, Duygu |
Keywords: | Change detection Normalized difference vegetation index Pixel-based spatial differences Soil adjusted vegetation index Temporal drought analysis Difference Water Index Land-Cover Vegetation Indexes Coastal Wetlands Amazon Radar Implementation Modis Ndwi |
Publisher: | Elsevier | Abstract: | This study focused on the effects of the increasingly prevalent drought phenomena in Central Anatolia every year on Lake Seyfe in Kirsehir. The drought has been investigated through change detection using Multispectral (MSI) PlanetScope remote sensing data between 2017 and 2022. Changes in wetlands, moist regions, swamps, agricultural areas, and drought over the summer and winter were observed using the normalized difference water index (NDWI), normalized difference vegetation index (NDVI), and soil adjusted vegetation index (SAVI) indices applied to mosaic data. The findings of the temporal variation over the summer and winter seasons are displayed as pixel -based spatial variations. The analysis used surface temperature, monthly temperature change tables, and precipitation maps for the years operated in the study. According to the research, the wetlands, which comprised 5% of the total surface area in the summer of 2020, were prevented from drying out entirely by the usual wet winters of 2021 and 2022. | URI: | https://doi.org/10.1016/j.rsase.2024.101172 https://hdl.handle.net/20.500.13091/5374 |
ISSN: | 2352-9385 |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections |
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