Investigating the applicability of conventional vegetation indices for vegetation change detection in different environmental conditions

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.

rokni komeyl; gholizade mohammad

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

Journal Paper

Paper Information

Journal: JOURNAL OF PLANT ECOSYSTEM CONSERVATION Year:2020 | Volume:7 | Issue:15 Page(s): 125-140

Download Full-Text

Persian Verion

View:

685

Download:

Cites:

Information Journal Paper

Title

Investigating the applicability of conventional vegetation indices for vegetation change detection in different environmental conditions

Author(s)

rokni komeyl | gholizade mohammad | Issue Writer Certificate

Keywords

vegetation indexQ1

change detectionQ1

LandsatQ2

NDVIQ2

EVIQ1

Abstract

Vegetation indices have been developed to characterize and extract the Earth's vegetation cover from space using satellite images. For detection of vegetation changes, usually temporal images are independently analyzed or vegetation index differencing is implemented. A rEVIew on prEVIous studies reveal that, in spite of developing several vegetation indices, to extract vegetation cover or vegetation changes usually NDVI and EVI are used. Therefore, the aim of this study is to compare and investigate the applicability of these indices in detection of vegetation changes in different climate and environmental conditions. For this purpose, several test sites in Malaysia, Iran and Italy with different environmental conditions including Tropical, Subtropical and Mediterranean were selected. Then, index differencing method using temporal Landsat-7 ETM+ and Landsat-8 OLI images belonging to the years of 2001 and 2014 were applied. In order to evaluating the accuracy of the output maps, confusion matrix was made to calculate overall accuracy and kappa index. Subsequently, commission and omission errors were calculated to assess nature of the errors in the results. Accuracy assessment analysis indicated that however the results of EVI in some of the test sites were acceptable, but in all of the test sites with variety of weather and environmental conditions, NDVI provided higher accuracy outcomes in detection of vegetation changes.

Cites

No record.

References

No record.

Cite

APA: Copy

rokni, komeyl, & gholizade, mohammad. (2020). Investigating the applicability of conventional vegetation indices for vegetation change detection in different environmental conditions. JOURNAL OF PLANT ECOSYSTEM CONSERVATION, 7(15 ), 125-140. SID. https://sid.ir/paper/259630/en

Vancouver: Copy

rokni komeyl, gholizade mohammad. Investigating the applicability of conventional vegetation indices for vegetation change detection in different environmental conditions. JOURNAL OF PLANT ECOSYSTEM CONSERVATION[Internet]. 2020;7(15 ):125-140. Available from: https://sid.ir/paper/259630/en

IEEE: Copy

komeyl rokni, and mohammad gholizade, “Investigating the applicability of conventional vegetation indices for vegetation change detection in different environmental conditions,” JOURNAL OF PLANT ECOSYSTEM CONSERVATION, vol. 7, no. 15 , pp. 125–140, 2020, [Online]. Available: https://sid.ir/paper/259630/en

Related Journal Papers