JEB logo

Journal of Environmental Biology

pISSN: 0254-8704 ; eISSN: 2394-0379 ; CODEN: JEBIDP

About Journal
    Home
    Editor in Chief
    Editorial Board
    Reviewer Panel
    Publication Policies
    Guidelines for Editors
    Guidelines for Reviewers
    Abstracting and Indexing
    Subscription and Payments
    Contact Journal
 
Read Journal
    Current Issue
    Journal Archives
 
For Authors
    Guidelines for Authors
    Terms and Conditions
    Fees and Payments
    Track Paper Status
 
Announcements
    JEB Awards
 

Google Search the Journal web-site:


    Abstract - Issue Jan 2015, 36 (1)                                     Back


nstantaneous and historical temperature effects on a-pinene

Determination of seasonal changes in wetlands using CHRIS/Proba Hyperspectral satellite images: A case study from Acıg?l (Denizli), Turkey

 

 

Muhittin Karaman1, Murat Budakoglu1, Z. Damla Uca Avci2, Emre Ozelkan3, Ali Bulbul4, Melda Civas4 and Suat Tasdelen4*

1Geochemistry Research Group and JAL Laboratories, Department of Geological Engineering, Faculty of Mines,

Istanbul Technical University, Istanbul-34460, Turkey

2Department of Astronautical Engineering, ITU Faculty of Aeronautics and Astronautics Engineering,

Istanbul Technical University, Istanbul-34460, Turkey

3Agricultural and Environmental Informatics Research Center, Istanbul Technical University, 34460, Turkey

4Department of Geological Engineering, Pamukkale University, Denizli, 20070, Turkey

*Corresponding Authors Email : stasdelen@pau.edu.tr 

 

 

 Publication Data

Paper received:

10 July 2013

 

Revised received:

20 October 2013

 

Re-revised received:

18 June 2014

 

Accepted:

22 September 2014

 

Abstract

The changes in wetlands that occur through natural processes, as well as through industrialization and agricultural activities, are decreasing and even annihilating the living spaces of endemic species. Acıg?l (Denizli, Turkey), which is a suitable habitat for flamingos (Phoenicopterus ruber), is a lake that is affected by seasonal anomalies as a result of being shallow. Acıg?l, which is fed by precipitation, groundwater and the springs that occur along tectonic faults, has no water output other than evaporation and industrial activities. In addition to natural factors, it is important to determine the changes in the wetlands of Acıg?l, where industrial salt is produced, in order to reveal the micro-ecological equilibrium, the relationship between climate and natural life, and regulation of industrial activities. Remote sensing tools are frequently used in determination of changes in wetlands. Changes in coastlines, water level and area covered by water are parameters that can be examined by remote sensing while investigating wetlands. In this study, the water-covered area was examined using remote sensing. Within the scope of this study, CHRIS/Proba Mode 2 (water bandset) hyperspectral satellite images, acquired on 9/17/2011 for the season and on 6/18/2012 - 6/19/2012 for wet season, were used in order to present the seasonal changes in Acıg?l, during one hydrogeological period. The processes of noise reduction, cloud screening, atmospheric correction, geometric correction, and identification of wetlands have been implemented on the CHRIS/Proba images. In determining the water-covered areas, the Normalized Difference Water Index (NDWI) was used. It was determined that W6 (560 nm) and W18 (1015 nm) and W2 (447 nm) and W18 (1015 nm) band combinations were most appropriate to be used in NDWI to demonstrate the water-land separation. Using Proba-NDWI image, it was established that an area of 27.4 km2 was covered with water during dry season, and 61.2 km2 was covered during wet season. The results indicated that; since the lake water area is directly affected by seasonal and annual climatic anomalies, water used by industrial facilities has to be drawn out of the lake in reasonable amount. ? 

 

 

 Key words

 

Wetland, CHRIS/Proba, Wet and dry season, Water-covered area change, Proba-NDWI

 

 

 

Copyright ? 2015 Triveni Enterprises. All rights reserved. No part of the Journal can be reproduced in any form without prior permission. Responsibility regarding the authenticity of the data, and the acceptability of the conclusions enforced or derived, rest completely with the author(s).