Temporal Analysis of Ramsar Sites via Remote Sensing Techniques - A Case Study of Meke Maar

N. Yagmur*, N. Musaoglu

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

4 Citations (Scopus)

Abstract

Wetlands have globally significant social, economic and environmental benefits. Ramsar supports the conservation and conscious use of wetlands. Meke Maar is one of the Ramsar sites which located in Konya Closed Basin. Aim of the study is analysis of Meke Maar from 1984 to 2017, along with the reasons for the change. Remote sensing techniques were used for change detection from 1984 to 2017. Remote sensing has widely used in environmental analysis and change detection. Change analysis was conducted for 2 different month interval as spring (May-June) and autumn (August-September). For detecting water surface area, Normalized Difference Water Index (NDWI) and Classification and Regression Tree (CART) methods were used. These methods were implemented in the Google Earth Engine (GEE) platform. Obtained results evaluate with meteorological data and groundwater level measurements. Gulfet Yayla well is the nearest well to study area. That is why, its observations were used in evaluation of change detection results. In conclusion, water surface area in the Meke Maar has decreased approximately 90%. As a result of the study, it was determined that the factors affecting the water change in Meke Maar were precipitation and groundwater level.

Original languageEnglish
Article number012248
JournalIOP Conference Series: Materials Science and Engineering
Volume737
Issue number1
DOIs
Publication statusPublished - 5 Mar 2020
Event4th International Conference on Buildings, Construction and Environmental Engineering, BCEE4 2019 - Istanbul, Turkey
Duration: 7 Oct 20199 Oct 2019

Bibliographical note

Publisher Copyright:
© Published under licence by IOP Publishing Ltd.

Funding

The authors would like to acknowledge the financial support of the Istanbul Technical University (ITU) Scientific Projects Office (BAP) under project number MGA-2017-40803.

FundersFunder number
Scientific Projects Office
British Association for PsychopharmacologyMGA-2017-40803
Istanbul Teknik Üniversitesi

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