Evaluation of change detection and future condition of meadow-land ecosystem of Shahrekord using Landsat data

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.

KIANISALMI ELHAM; EBRAHIMI ATAOLLAH

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

Journal Paper

Paper Information

Journal: Journal of Range and Watershed Managment Year:2018 | Volume:71 | Issue:2 Page(s): 473-487

Download Full-Text

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

Persian Verion

View:

538

Download:

Cites:

Information Journal Paper

Title

Evaluation of change detection and future condition of meadow-land ecosystem of Shahrekord using Landsat data

Author(s)

KIANISALMI ELHAM | EBRAHIMI ATAOLLAH | Issue Writer Certificate

Keywords

remote sensingQ2

Maximum LikelihoodQ1

Change detectionQ1

MeadowQ1

CA-MarkovQ1

Abstract

Wetland Meadows as a natural ecosystems plays an important role on sustainability of nature, although are enormously under drainage and changing in the recent years. Shahrekord Meadow, which is located adjacent to the city, considered as a natural heritage due to its contribution to tourist visiting, balancing weather in addition to supplying forage for animals. However, this Meadow is declining due to anthropogenic effects that this article aims at studying and evaluation of its change and prediction of future condition using Landsat TM5, ETM+7 and OLI/TIRS. To do so, first of all the images of 1987, 1994, 2001, 2010 and 2016 were gathered, then radiometric and geometrically were evaluated. After that, landuse/landcover of the study area was depicted using a Maximum Likelihood method in TerrSet (Ver. 18. 31). Afterward, Change detection of the study area was done using a cross-tabulation method and the future condition was predicted using a CA-Markov model. Results indicated that a significant change was occurred in this study area whereas in 1987 whole of the study area was covered by Meadowland but land cover changes altered this valuable ecosystem to constructed area (3. 33%), arable land (25. 02%) and airport (19. 65%) in 2016. Results of change prediction also depicted that 5. 08% of the study area will be converted to other land cover in 2026. Therefore, we recommend that land use and land cover of this valuable ecosystem should be conserved due to the function and services that this Meadowland offered.

Cites

No record.

References

No record.

Cite

APA: Copy

KIANISALMI, ELHAM, & EBRAHIMI, ATAOLLAH. (2018). Evaluation of change detection and future condition of meadow-land ecosystem of Shahrekord using Landsat data. JOURNAL OF RANGE AND WATERSHED MANAGEMENT (IRANIAN JOURNAL OF NATURAL RESOURCES), 71(2 ), 473-487. SID. https://sid.ir/paper/162518/en

Vancouver: Copy

KIANISALMI ELHAM, EBRAHIMI ATAOLLAH. Evaluation of change detection and future condition of meadow-land ecosystem of Shahrekord using Landsat data. JOURNAL OF RANGE AND WATERSHED MANAGEMENT (IRANIAN JOURNAL OF NATURAL RESOURCES)[Internet]. 2018;71(2 ):473-487. Available from: https://sid.ir/paper/162518/en

IEEE: Copy

ELHAM KIANISALMI, and ATAOLLAH EBRAHIMI, “Evaluation of change detection and future condition of meadow-land ecosystem of Shahrekord using Landsat data,” JOURNAL OF RANGE AND WATERSHED MANAGEMENT (IRANIAN JOURNAL OF NATURAL RESOURCES), vol. 71, no. 2 , pp. 473–487, 2018, [Online]. Available: https://sid.ir/paper/162518/en

Related Journal Papers