Conference Article

·2018 OPEN ACCESS

LONG-TERM MONITORING OF WETLANDS VIA REMOTE SENSING AND GIS: A CASE STUDY FROM TURKEY

Nebiye Musaoğlu , Ayşegül Tanık , Mustafa Ümit Gümüşay YTU , Adalet Dervisoglu , Burhan Baha Bilgilioğlu , Nur Yağmur , Tolga Bakırman YTU , Duygu Baran , M. Fatih Gokdag YTU

International conference on climate change

Abstract

Remote sensing that is a low cost data source capable of making temporal observations has more advantages than the traditional methods to obtain land-use/cover change maps. In this study, temporal land-use/cover change of surface water bodies in Konya Closed Basin was evaluated via Landsat satellite images for the past 30 years. The basin, located in Central Anatolia Region of Turkey, faces water scarcity problems; however, wet agricultural activities are still favoured and practiced. Therefore, water resources are becoming more important than ever; public complains about long-lasting drought conditions and on lessening of surface water resources. There are 16 surface water bodies, and 3 of them are lakes; whereas the rest are wetlands of importance. Two of them are Ramsar sites. Results indicate that the surface area of the water bodies in Konya Closed Basin declined by approximately 23.5% within the inspection years. One of the important wetlands of the basin named as Akgol Wetland has almost lost its water surface by 96% at the same time interval, and is in danger of extinction. Thus, this vulnerable wetland has been focused on in the study. The decrease of water surface in the wetland is matched with the meteorological conditions.

Keywords

Wetland Term (time) Remote sensing Environmental science Computer science Geography Ecology Physics

Subject Areas

Flood Risk Assessment and Management ·Global and Planetary Change ·Physical Sciences
Land Use and Ecosystem Services ·Global and Planetary Change ·Physical Sciences
Remote Sensing and LiDAR Applications ·Environmental Engineering ·Physical Sciences

Citations by Year

OpenAlex SDG Match

SDGs auto-classified by OpenAlex (score ≥ 0.4 shown).

Clean water and sanitation 61%