monitoring of soil salinity using aster satellite data to evaluate desertification in the marvast plain, yazd province

Authors

زهرا گیوئی اشرف

کارشناس ارشد مدیریت مناطق بیابانی محمد علی حکیم زاده

ااستادیار گروه مدیریت مناطق بیابانی، دانشکدة منابع طبیعی، دانشگاه یزد محمد زارع

استادیار گروه مدیریت مناطق بیابانی، دانشکدة منابع طبیعی، دانشگاه یزد زهره ابراهیمی خوسفی

کارشناس ارشد مدیریت مناطق بیابانی کاظم دشتکیان

abstract

desertification relates to the both the process and end state of drylands degradation. salinization and alkalinization are two indicators of soil degradation in arid and semi-arid regions. the main objectives of this research is monitoring of soil salinity using high spectral and spatial resolution of remote sensing to assess desertification in the marvast plain, yazd province. two images of terra satellite, aster synchronous to 2003 and 2010 are used. after preprocessing and analyzing of the images, relationship between parameters of soil salinity (i.e. sar and ec) and spectral reflections were determined and, both two satellite images were classified using maximum likelihood method. then, the surface area of each class and the amount of its changes were calculated. results showed that during the period of 7 years (2003-2010), area of non-saline lands has decreased while, the area of saline land has increased, which leads to the salinization of agricultural lands, reduction of its yield and also extent of desertification in this region. accuracy of ec map classification for 2003 and 2010 images are 87.5% and, 82.5%, respectively. kappa coefficients for both images are 0.83 and 0.76. accuracy of sar map classification for 2003 and 2010images are 87.5% and 87.5%, respectively. kappa coefficients for these two images are 0.81 and 0.77, respectively. generally, it can be conclude that using of remote sensing data, especially aster images has high efficiency for change detection analysis in soil salinity and natural resources management.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Monitoring of organic matter and soil salinity by using IRS - LissIII satellite data in the Harat plain, of Yazd province

   Current study monitored Electerical Conductivity (EC) as soil salinity index and Organic Matter (OM) in the area of Harat in Yazd, Iran, through remote sensing technology with high spatial and spectral resolution. The images were selected from IRS, LISS III satellites between the years 2008 and 2012. After preprocessing and analyzing the images, the relationship between parameters of (EC) an...

full text

Comparison of spectrum indices for mapping soil salinity in saline lands of Chezan plain (Markazi province)

Soil salinity phenomena are one of the main problems of arid and semi-arid lands. Saline soils constitute a huge part of Iran, and also threaten its neighboring lands. Therefore, in order to optimum exploitation of such soils, qualitative monitoring is necessary. Recently, remote sensing techniques have been increasingly applied in monitoring soil characteristics. The present study was carried ...

full text

Application of Satellite Data and Data Mining Algorithms in Estimating Coverage Percent (Case study: Nadoushan Rangelands, Ardakan Plain, Yazd, Iran)

Assessing and monitoring rangelands in arid regions are important and essential tasks in order to manage the desired regions. Nowadays, satellite images are used as an approximately economical and fast way to study the vegetation in a variety of scales. This research aims to estimate the coverage percent using the digital data given by ETM+ Landsat satellite. In late May and early Ju...

full text

monitoring soil salinity around bakhtegan lake, fars province, iran, using landsat data

background and objectives: primary and secondary soil salinity is one of the main reasons of land degradation and desertification in arid and semi-arid zones. change detection of salt-affected soils, aides finding salt distribution and salinization trends. present study was arranged for monitoring soil salinity status of agricultural lands located on southern part of bakhtegan lake in fars prov...

full text

morphology, geochemistry, mineralogy, and micromorphology of soils of hormozgan province in relation to parent materials

ویژگی های زمین شیمیایی، کانی شناسی، و میکرومورفولوژیکی خاک ها و سنگ مادر مربوطه در منطقه بین بخش های جنوبی زاگرس و خلیج فارس تا دریای عمان(استان هرمزگان، ایران) مورد بررسی قرار گرفت. هدف های این مطالعه شناسایی تغییرات در خصوصیات فیزیکی، شیمیایی، و ترکیب کانی شناسی خاک، مطالعه میکرومورفولوژی و تکامل خاک، و بررسی توزیع عنصر خاک بر اساس هوازدگی، پروسه های خاک و زمین شناسی جهت توصیف اثرات مواد مادر...

15 صفحه اول

Detection of zinc-lead mineralization and associated alteration in the Mehdiabad deposit, Yazd province, using ASTER and Landsat 8-OLI satellite images

The Mehdiabad zinc-lead deposit, which is located at the East of Mehriz city, is a carbonate-hosted ore deposit lying in the dolomitic rocks of Taft Formation. This deposit is composed of oxide-carbonate and sulfide ores. Different spectral processing techniques were applied to ASTER and Landsat 8-OLI multispectral images to detect different mineralization zones and associated alterations. In O...

full text

My Resources

Save resource for easier access later


Journal title:
مرتع و آبخیزداری

جلد ۶۷، شماره ۴، صفحات ۶۰۳-۶۱۶

Keywords
desertification relates to the both the process and end state of drylands degradation. salinization and alkalinization are two indicators of soil degradation in arid and semi arid regions. the main objectives of this research is monitoring of soil salinity using high spectral and spatial resolution of remote sensing to assess desertification in the marvast plain yazd province. two images of terra satellite aster synchronous to 2003 and 2010 are used. after preprocessing and analyzing of the images relationship between parameters of soil salinity (i.e. sar and ec) and spectral reflections were determined and both two satellite images were classified using maximum likelihood method. then the surface area of each class and the amount of its changes were calculated. results showed that during the period of 7 years (2003 2010) area of non saline lands has decreased while the area of saline land has increased which leads to the salinization of agricultural lands reduction of its yield and also extent of desertification in this region. accuracy of ec map classification for 2003 and 2010 images are 87.5% and 82.5% respectively. kappa coefficients for both images are 0.83 and 0.76. accuracy of sar map classification for 2003 and 2010images are 87.5% and 87.5% respectively. kappa coefficients for these two images are 0.81 and 0.77 respectively. generally it can be conclude that using of remote sensing data especially aster images has high efficiency for change detection analysis in soil salinity and natural resources management.

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023