LAND USE/COVER CHANGE DETECTION IN 2025 WITH CA-MARKOV CHAIN MODEL (CASE STUDY: ESFARAYEN)

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.

RAMEZANI NAFISEH; JAFARI REZA

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

Journal Paper

Paper Information

Journal: GEOGRAPHICAL RESEARCH Year:2015 | Volume:29 | Issue:4 (115) Page(s): 83-96

Download Full-Text

Persian Verion

View:

1,088

Download:

Cites:

Information Journal Paper

Title

LAND USE/COVER CHANGE DETECTION IN 2025 WITH CA-MARKOV CHAIN MODEL (CASE STUDY: ESFARAYEN)

Author(s)

RAMEZANI NAFISEH | JAFARI REZA | Issue Writer Certificate

Keywords

CHANGE DETECTIONQ2

REMOTE SENSINGQ2

CA-MARKOV CHAIN MODELQ1

MODELINGQ2

Abstract

Modeling and prediction of land use/cover changes is an essential need for planning sustainable use of land in country like Iran with its high level of changes in land uses and land covers. This study aimed to analyze the capability of CA Markov prediction model and Landsat satellite images for land use/cover CHANGE DETECTION within the framework of “Iran at 1404 prospective” in Esfarayen region, North Khorasan province for year 2025. The results of CA Markov MODELING showed a reduction about 5000 and 400 ha in irrigated agricultural lands and rangeland class in 2025, respectively. Furthermore, the model predicted that the poor rangeland class and Esfarayen city will be increased 30 and 450 ha in 13 years from 2009 to 2025. According to the results, if current land use continues to intensify regardless of sustainable development considerations, severe degradation in the natural resources of the study area is unavoidable in the future. Overall, the results demonstrate that satellite REMOTE SENSING data and CA Markov model can be successfully used to predict land use/ cover changes and the extracted maps can help policy makers to make better decision for the future of the region.

Cites

No record.

References

No record.

Cite

APA: Copy

RAMEZANI, NAFISEH, & JAFARI, REZA. (2015). LAND USE/COVER CHANGE DETECTION IN 2025 WITH CA-MARKOV CHAIN MODEL (CASE STUDY: ESFARAYEN). GEOGRAPHICAL RESEARCH, 29(4 (115)), 83-96. SID. https://sid.ir/paper/30020/en

Vancouver: Copy

RAMEZANI NAFISEH, JAFARI REZA. LAND USE/COVER CHANGE DETECTION IN 2025 WITH CA-MARKOV CHAIN MODEL (CASE STUDY: ESFARAYEN). GEOGRAPHICAL RESEARCH[Internet]. 2015;29(4 (115)):83-96. Available from: https://sid.ir/paper/30020/en

IEEE: Copy

NAFISEH RAMEZANI, and REZA JAFARI, “LAND USE/COVER CHANGE DETECTION IN 2025 WITH CA-MARKOV CHAIN MODEL (CASE STUDY: ESFARAYEN),” GEOGRAPHICAL RESEARCH, vol. 29, no. 4 (115), pp. 83–96, 2015, [Online]. Available: https://sid.ir/paper/30020/en

Related Journal Papers