USING POST-CLASSIFICATION ENHANCEMENT IN IMPROVING THE CLASSIFICATION OF LAND USE/COVER OF ARID REGION (A CASE STUDY IN PISHKOUH WATERSHED, CENTER OF IRAN)

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.

BARKHORDARI JALAL; VARDANIAN TRAHEL

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

Journal Paper

Paper Information

Journal: JOURNAL OF RANGELAND SCIENCE Year:2012 | Volume:2 | Issue:2 Page(s): 459-463

Download Full-Text

View:

597

Download:

156

Cites:

Information Journal Paper

Title

USING POST-CLASSIFICATION ENHANCEMENT IN IMPROVING THE CLASSIFICATION OF LAND USE/COVER OF ARID REGION (A CASE STUDY IN PISHKOUH WATERSHED, CENTER OF IRAN)

Author(s)

BARKHORDARI JALAL | VARDANIAN TRAHEL | Issue Writer Certificate

Keywords

IMAGE CLASSIFICATION

LAND SAT

ARID REGION

ACCURACY

IRAN

Abstract

Classifying remote sensing imageries to obtain reliable and accurate Land Use/Cover (LUC) information still remains a challenge that depends on many factors such as complexity of landscape especially in ARID REGION. The aim of this paper is to extract reliable LUC information from LAND SAT imageries of the Pishkouh watershed of central ARID REGION, IRAN. The classical Maximum Likelihood Classifier (MLC) was first applied to classify LAND SAT image of 15 July 2007. The major LUC identified were shrubland (rangeland), agricultural land, orchard, river, settlement. Applying Post-Classification Correction (PCC) using ancillary data and knowledge-based logic rules the overall classification ACCURACY was improved from about 72% to 91% for LUC map. The improved overall Kappa statistics due to PCC were 0.88. The PCC maps, assessed by ACCURACY matrix, were found to have much higher ACCURACY in comparison to their counterpart MLC maps. The overall improvement in classification ACCURACY of the LUC maps is significant in terms of their potential use for land change modeling of the region.

Cites

ASSESSMENT OF THE MONTHLY WATER BALANCE IN AN ARID REGION USING TM MODEL AND GIS (CASE STUDY: PISHKOUH WATERSHED, IRAN)

References

Cite

APA: Copy

BARKHORDARI, JALAL, & VARDANIAN, TRAHEL. (2012). USING POST-CLASSIFICATION ENHANCEMENT IN IMPROVING THE CLASSIFICATION OF LAND USE/COVER OF ARID REGION (A CASE STUDY IN PISHKOUH WATERSHED, CENTER OF IRAN). JOURNAL OF RANGELAND SCIENCE, 2(2), 459-463. SID. https://sid.ir/paper/575218/en

Vancouver: Copy

BARKHORDARI JALAL, VARDANIAN TRAHEL. USING POST-CLASSIFICATION ENHANCEMENT IN IMPROVING THE CLASSIFICATION OF LAND USE/COVER OF ARID REGION (A CASE STUDY IN PISHKOUH WATERSHED, CENTER OF IRAN). JOURNAL OF RANGELAND SCIENCE[Internet]. 2012;2(2):459-463. Available from: https://sid.ir/paper/575218/en

IEEE: Copy

JALAL BARKHORDARI, and TRAHEL VARDANIAN, “USING POST-CLASSIFICATION ENHANCEMENT IN IMPROVING THE CLASSIFICATION OF LAND USE/COVER OF ARID REGION (A CASE STUDY IN PISHKOUH WATERSHED, CENTER OF IRAN),” JOURNAL OF RANGELAND SCIENCE, vol. 2, no. 2, pp. 459–463, 2012, [Online]. Available: https://sid.ir/paper/575218/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops