Publisher of Iranian Journals and Conference Proceedings

Please waite ..
Publisher of Iranian Journals and Conference Proceedings
Login |Register |Help |عضویت کتابخانه ها
Paper
Title

The feasibility of using Landsat OLI images for water turbidity estimation in Gandoman wetland, Iran

فصلنامه ی سنجش از دور راداری و نوری، دوره: 2، شماره: 2
Year: 1398
COI: JR_JRORS-2-2_004
Language: EnglishView: 199
This Paper With 14 Page And PDF Format Ready To Download

Buy and Download

با استفاده از پرداخت اینترنتی بسیار سریع و ساده می توانید اصل این Paper را که دارای 14 صفحه است به صورت فایل PDF در اختیار داشته باشید.
آدرس ایمیل خود را در کادر زیر وارد نمایید:

Authors

Ghazal Lotfi - Department of environmental sciences, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
Mozhgan Ahmadi Nadoushan - Department of environmental sciences, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
Mohammadhadi Abolhasani - Department of environmental sciences, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran

Abstract:

Change detection of wetlands is one of the essential requirements for the management and assessment of wetlands. Monitoring water quality is a crucial issue for assessing the environmental consequences of human interventions in wetland ecosystems. The present study aims at studying the capability of satellite images in assessing the water turbidity and comparing their capability with that of ground sampling. Four stations in four directions were chosen in Gandoman wetland, located in Chaharmahal and Bakhtiari Province. Samples were taken three times in the wetland with the intervals of 30 days from September to December 2017. The turbidity index was calculated and the relationship between the data obtained from ground-based measurement and from satellite images was studied using linear regression analysis and correlation coefficient. The comparison between the amounts of turbidity observed in different stations in different months revealed that the turbidity value was at its highest point (214.49 NTU) in station number three in September, and its lowest point (2.25 NTU) in station number four in October and, therefore, there was a significant difference between the values (p<0.05). The results were also indicative of a significant correlation between the measured amounts of turbidity and the reflectance values of blue and red bands in the satellite images. Remote sensing techniques can overcome the limitations of traditional methods and be used as appropriate substitutes in monitoring the quality of water.

Keywords:

Paper COI Code

This Paper COI Code is JR_JRORS-2-2_004. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1017908/

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Lotfi, Ghazal and Ahmadi Nadoushan, Mozhgan and Abolhasani, Mohammadhadi,1398,The feasibility of using Landsat OLI images for water turbidity estimation in Gandoman wetland, Iran,https://civilica.com/doc/1017908

Research Info Management

Certificate | Report | من نویسنده این مقاله هستم

اطلاعات استنادی این Paper را به نرم افزارهای مدیریت اطلاعات علمی و استنادی ارسال نمایید و در تحقیقات خود از آن استفاده نمایید.

Scientometrics

The specifications of the publisher center of this Paper are as follows:
Type of center: Azad University
Paper count: 11,480
In the scientometrics section of CIVILICA, you can see the scientific ranking of the Iranian academic and research centers based on the statistics of indexed articles.

Share this page

More information about COI

COI stands for "CIVILICA Object Identifier". COI is the unique code assigned to articles of Iranian conferences and journals when indexing on the CIVILICA citation database.

The COI is the national code of documents indexed in CIVILICA and is a unique and permanent code. it can always be cited and tracked and assumed as registration confirmation ID.

Support