IDENTIFICATION OF THE AREA UNDER CULTIVATION OF SAFFRON USING LANDSAT-8 TEMPORAL SATELLITE IMAGES (CASE STUDY: TORBAT HEYDARIEH)

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.

RAHIMZADEGAN M.; POURGHOLAM M.

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

Journal Paper

Paper Information

Journal: Journal of RS and GIS for Natural Resources Year:2017 | Volume:7 | Issue:4 Page(s): 0-0

Download Full-Text

Persian Verion

View:

2,088

Download:

Cites:

Information Journal Paper

Title

IDENTIFICATION OF THE AREA UNDER CULTIVATION OF SAFFRON USING LANDSAT-8 TEMPORAL SATELLITE IMAGES (CASE STUDY: TORBAT HEYDARIEH)

Author(s)

RAHIMZADEGAN M. | POURGHOLAM M. | Issue Writer Certificate

Keywords

SAFFRON AREA UNDER CULTIVATIONQ1

VEGETATION INDICESQ2

CLASSIFICATION METHODSQ1

GREEN PEAKQ1

TORBAT HEYDARIEHQ1

Abstract

The aim of this research is the identification of Saffron fields with Landsat-8 Satellite images in TORBAT HEYDARIEH. In this regard, two approaches were utilized. The first approach was dealing with implementation of neural network, support vector machine, Mahalanobis distance, the minimum distance, maximum likelihood and parallelepiped CLASSIFICATION METHODS to achieve land cover map. The second approach was to use normalized difference vegetation index (NDVI) and soil adjusted vegetation index (SAVI) in the greenness peak time range of saffron. To prepare field data, coordinate and land cover class of 2587 points (1463 as training sample and others as tested) in a region with at least 30 m same land cover on January 25th, 2015 and May 9th, 2015 were recorded using a GPS receiver. Furthermore, statistics presented by ministry of Agriculture Jihad in the 2014-2015 crop year was used for evaluation. Two measures, including Kappa coefficient and overall accuracy were used for evaluation of the results.Support vector machine classification with overall accuracy of 95% and a Kappa coefficient of 90%, was the best method of the first approach. It shows a difference of about 18% in saffron area comparing with Jihad statistics. On the other hand, NDVI as the best method of second approach shows an area of 7118 hectares which comparing with Jihad statistics (7550 hectares), shows the error of 5.7%. Hence, the results indicate the performance of temporal VEGETATION INDICES in identification of saffron fields according to its phenology.

Cites

No record.

References

No record.

Cite

APA: Copy

RAHIMZADEGAN, M., & POURGHOLAM, M.. (2017). IDENTIFICATION OF THE AREA UNDER CULTIVATION OF SAFFRON USING LANDSAT-8 TEMPORAL SATELLITE IMAGES (CASE STUDY: TORBAT HEYDARIEH). JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), 7(4), 0-0. SID. https://sid.ir/paper/356226/en

Vancouver: Copy

RAHIMZADEGAN M., POURGHOLAM M.. IDENTIFICATION OF THE AREA UNDER CULTIVATION OF SAFFRON USING LANDSAT-8 TEMPORAL SATELLITE IMAGES (CASE STUDY: TORBAT HEYDARIEH). JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE)[Internet]. 2017;7(4):0-0. Available from: https://sid.ir/paper/356226/en

IEEE: Copy

M. RAHIMZADEGAN, and M. POURGHOLAM, “IDENTIFICATION OF THE AREA UNDER CULTIVATION OF SAFFRON USING LANDSAT-8 TEMPORAL SATELLITE IMAGES (CASE STUDY: TORBAT HEYDARIEH),” JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), vol. 7, no. 4, pp. 0–0, 2017, [Online]. Available: https://sid.ir/paper/356226/en

Related Journal Papers