ALANSAL DEĞİŞİMİN UZAKTAN ALGILAMA VE COĞRAFİ BİLGİ SİSTEMLERİ TEKNİKLERİ KULLANILARAK BELİRLENMESİ: KARATAŞ GÖLÜ VE ÇEVRESİ ÖRNEĞİ


Creative Commons License

Özvan H., Arık B., Yeler O., Şatır O., Bostan P.

Peyzaj, vol.5, no.1, pp.30-39, 2023 (Peer-Reviewed Journal)

  • Publication Type: Article / Article
  • Volume: 5 Issue: 1
  • Publication Date: 2023
  • Doi Number: 10.53784/peyzaj.1287192
  • Journal Name: Peyzaj
  • Journal Indexes: EBSCO Legal Source, TR DİZİN (ULAKBİM), Asos İndeks
  • Page Numbers: pp.30-39
  • Van Yüzüncü Yıl University Affiliated: Yes

Abstract

Continuous monitoring of wetlands, which are one of the most important ecosystems facing many human and natural threats, and making effective and sustainable management decisions are very important for protecting them. Today, continuous and controlled spatial change monitoring studies have become widespread with Remote Sensing methods providing cost and time effective solutions. In this study, the land changes in the years 2020, 2021 and 2022 in and around the Lake Karataş in Burdur Province of Turkey, which is one of the Internationally Important Wetlands, were monitored using Landsat-8 OLI/TIRS satellite images. The surface area and boundary of the lake were determined with the NDWI (Normalized Difference Water Index) and MNDWI (Modified Normalized Difference Water Index) algorithms produced from satellite images; Vegetation density around the lake was determined by the NDVI (Normalized Difference Vegetation Index) and the SAVI (Soil Adjusted Vegetation Index) analyzes. According to the index results, no significant difference was found between NDWI and MNDWI in the determination of the areal boundary of water bodies and the change of surface areas. In the change of vegetation density around the lake, both indices gave similar results in the same years, except for the NDVI and SAVI values for 2022. It was concluded that both indices will inevitably yield similar
results in a short period of three consecutive years unless there are natural and/or human extremes such as fire, flood, or drought. While the MNDWI values were higher than the NDWI values in 2020 and 2021 for the water surface area, the situation was the opposite in 2022.