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Using remote sensing data for vegetation cover assessment in semi-arid rangeland of center province of Iran

To determine suitable indices for vegetation cover and production assessment based on remote sensing data, simultaneous digital data with field data belonged to summer rangeland of southern part of Isfahan province were analyzed. During 2 years of monitoring, annuals, grasses, forbs and shrubs veget...

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Main Authors: Amiri, Fazel, Mohamed Shariff, Abdul Rashid
Format: Article
Language:English
Published: IDOSI Publications 2010
Online Access:http://psasir.upm.edu.my/id/eprint/44504/1/Using%20remote%20sensing%20data%20for%20vegetation%20cover%20assessment%20in%20semi-arid%20rangeland%20of%20center%20province%20of%20Iran.pdf
http://psasir.upm.edu.my/id/eprint/44504/
https://www.idosi.org/wasj/wasj11(12)2010.htm
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spelling my.upm.eprints.445042020-08-04T02:20:58Z http://psasir.upm.edu.my/id/eprint/44504/ Using remote sensing data for vegetation cover assessment in semi-arid rangeland of center province of Iran Amiri, Fazel Mohamed Shariff, Abdul Rashid To determine suitable indices for vegetation cover and production assessment based on remote sensing data, simultaneous digital data with field data belonged to summer rangeland of southern part of Isfahan province were analyzed. During 2 years of monitoring, annuals, grasses, forbs and shrubs vegetation cover and total production data from sixty 1 square meter plots in each site were collected. The Global Positioning System (GPS) was used to measure coordinates of plots and transects. Geometric correction and histogram equalization were applied in image processing and image digital numbers were converted to reflectance numbers. In the next stage, all vegetation indices were calculated from ASTER (Advanced Spaceborn Thermal Emission and Reflection Radiometer) image data and compared with vegetation cover estimates at monitoring points made during field assessments. A linear regression model was used for selecting suitable vegetation indices. The results showed that there are significant relationships between satellite data and vegetative characteristics. Among indices, NDVI vegetation index, using high infrared and low red ASTER bands, consistently showed significant relationships with vegetation cover. Estimation of vegetation cover with NDVI vegetation index was more accurate predicted within rangeland systems. Using produced model from NDVI index vegetation crown cover percentage maps were produced in four classes percentage for each image. Generally introduced indices, provided accurate quantitative estimation of the parameters. Therefore, it is possible to estimate cover and production as important factors for range monitoring using ASTER data. Remote sensing data and Geographic Information System are most effective tools in natural resource management. IDOSI Publications 2010 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/44504/1/Using%20remote%20sensing%20data%20for%20vegetation%20cover%20assessment%20in%20semi-arid%20rangeland%20of%20center%20province%20of%20Iran.pdf Amiri, Fazel and Mohamed Shariff, Abdul Rashid (2010) Using remote sensing data for vegetation cover assessment in semi-arid rangeland of center province of Iran. World Applied Sciences Journal, 11 (12). pp. 1537-1546. ISSN 1818-4952; ESSN: 1991-6426 https://www.idosi.org/wasj/wasj11(12)2010.htm
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description To determine suitable indices for vegetation cover and production assessment based on remote sensing data, simultaneous digital data with field data belonged to summer rangeland of southern part of Isfahan province were analyzed. During 2 years of monitoring, annuals, grasses, forbs and shrubs vegetation cover and total production data from sixty 1 square meter plots in each site were collected. The Global Positioning System (GPS) was used to measure coordinates of plots and transects. Geometric correction and histogram equalization were applied in image processing and image digital numbers were converted to reflectance numbers. In the next stage, all vegetation indices were calculated from ASTER (Advanced Spaceborn Thermal Emission and Reflection Radiometer) image data and compared with vegetation cover estimates at monitoring points made during field assessments. A linear regression model was used for selecting suitable vegetation indices. The results showed that there are significant relationships between satellite data and vegetative characteristics. Among indices, NDVI vegetation index, using high infrared and low red ASTER bands, consistently showed significant relationships with vegetation cover. Estimation of vegetation cover with NDVI vegetation index was more accurate predicted within rangeland systems. Using produced model from NDVI index vegetation crown cover percentage maps were produced in four classes percentage for each image. Generally introduced indices, provided accurate quantitative estimation of the parameters. Therefore, it is possible to estimate cover and production as important factors for range monitoring using ASTER data. Remote sensing data and Geographic Information System are most effective tools in natural resource management.
format Article
author Amiri, Fazel
Mohamed Shariff, Abdul Rashid
spellingShingle Amiri, Fazel
Mohamed Shariff, Abdul Rashid
Using remote sensing data for vegetation cover assessment in semi-arid rangeland of center province of Iran
author_facet Amiri, Fazel
Mohamed Shariff, Abdul Rashid
author_sort Amiri, Fazel
title Using remote sensing data for vegetation cover assessment in semi-arid rangeland of center province of Iran
title_short Using remote sensing data for vegetation cover assessment in semi-arid rangeland of center province of Iran
title_full Using remote sensing data for vegetation cover assessment in semi-arid rangeland of center province of Iran
title_fullStr Using remote sensing data for vegetation cover assessment in semi-arid rangeland of center province of Iran
title_full_unstemmed Using remote sensing data for vegetation cover assessment in semi-arid rangeland of center province of Iran
title_sort using remote sensing data for vegetation cover assessment in semi-arid rangeland of center province of iran
publisher IDOSI Publications
publishDate 2010
url http://psasir.upm.edu.my/id/eprint/44504/1/Using%20remote%20sensing%20data%20for%20vegetation%20cover%20assessment%20in%20semi-arid%20rangeland%20of%20center%20province%20of%20Iran.pdf
http://psasir.upm.edu.my/id/eprint/44504/
https://www.idosi.org/wasj/wasj11(12)2010.htm
_version_ 1675328716166660096
score 13.211869

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