DETERMINATION OF SUITABLE INDICES FOR VEGETATION COVER ASSESSMENT IN SUMMER RANGELANDS IN SOUTH OF MAZANDARAN

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

ARZANI HOSSEIN; NOURI SOHEYLA; KABOLI S.H.; MORADI HAMID REZA; GHELICHNIA H.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF NATURAL RESOURCES Year:2009 | Volume:61 | Issue:4 Page(s): 997-1016

Download Full-Text

Persian Verion

View:

2,094

Download:

Cites:

Information Journal Paper

Title

DETERMINATION OF SUITABLE INDICES FOR VEGETATION COVER ASSESSMENT IN SUMMER RANGELANDS IN SOUTH OF MAZANDARAN

Author(s)

Keywords

REMOTE SENSINGQ2

VEGETATION COVERQ2

PRODUCTIONQ3

VEGETATION INDEXQ3

MAZANDARANQ2

Abstract

In order to determine suitable indices for VEGETATION COVER and PRODUCTION assessment based on REMOTE SENSING data, simultaneous digital data with field data of summer rangeland in south of MAZANDARAN province were analyzed. During 3 years monitoring VEGETATION COVER including annuals, grasses, forbs and shrubs and total PRODUCTION data of sixty plots in each site (1 square meters) were collected. The Global Positioning System (GPS), geometric correction, histogram equalization and images digital numbers were converted to reflectance numbers. In the next stage, intrinsic indices, soil-line related indices and atmospheric corrected indices were generated. For determining suitable indices, linear regression model was used. The results showed that there are significant relationships between satellite data and vegetative characteristics. Among indeces, VI10 with annual covers, VI6, VI10, MIRV1 with grasses cover, PD312, VI9, MIRV1, GVI indices with forbs cover, MIRV2, VI6, VI10 with shrubs cover, VI12, MIRV2, VI5, fuse2 and total cover and MIRV1, MIRV2, VI5, Tgr with total PRODUCTION, showed significant relationships. Generally introduced indices presented accurate quantitative estimation of the parameters. Therefore, it is possible to estimate vegtation cover and range PRODUCTION as important factors for range monitoring using landsat ETM+ data.

Cites

No record.

References