Investigating the Time Series OLI multi Spectral Sensor Data Capability with the Step by Step Method for Producing the Major Cultivation Map (A Case Study: Chadegan City)

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.

RAHDARI V.; SOFFIANIAN A. R.; POURMANAFI S.; Ghaiumi Mohammadi H.

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

Journal Paper

Paper Information

Journal: Journal of Water and Soil Science Year:2018 | Volume:22 | Issue:3 Page(s): 71-80

Download Full-Text

Persian Verion

View:

440

Download:

Cites:

Information Journal Paper

Title

Investigating the Time Series OLI multi Spectral Sensor Data Capability with the Step by Step Method for Producing the Major Cultivation Map (A Case Study: Chadegan City)

Author(s)

RAHDARI V. | SOFFIANIAN A. R. | POURMANAFI S. | Ghaiumi Mohammadi H. | Issue Writer Certificate

Keywords

Cultivated areaQ1

OLI sensorQ1

NDVI indexQ1

Reflectance patternQ1

Hybrid classificationQ1

Abstract

Determining the cultivation crops area is important for properly supplying crops. The aim of this study was mapping the cultivation area crops in Chadian city for spring and summer during 2015 by using the time series data of the Landsat 8 satellite of OLI imagery. At first, the under cultivation area was determined by setting a low threshold in the marginal pixels of the agricultural rain fed in the spring image NDVI index. The area cultivated with wheat and alfalfa was prepared by subtracting spring and summer NDVI values. Cultivation maps, which were cultivated with potatoes, corn and orchards, were prepared using the supervised classification with the FISHER method in a step by step manner. Spring and summer cultivation maps were combined; finally, the major cultivation crops maps were produced by the Hybrid classification method. Map accuracy assessment was done by producing error matrix and calculating kappa coefficient, total accuracy, commission and omission error, producer, and use accuracy; in all indices, they had an acceptable value, showing the capability of OLI and the used methods in separating each cultivation.

Cites

No record.

References

No record.

Cite

APA: Copy

RAHDARI, V., SOFFIANIAN, A. R., POURMANAFI, S., & Ghaiumi Mohammadi, H.. (2018). Investigating the Time Series OLI multi Spectral Sensor Data Capability with the Step by Step Method for Producing the Major Cultivation Map (A Case Study: Chadegan City). WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES), 22(3 ), 71-80. SID. https://sid.ir/paper/360957/en

Vancouver: Copy

RAHDARI V., SOFFIANIAN A. R., POURMANAFI S., Ghaiumi Mohammadi H.. Investigating the Time Series OLI multi Spectral Sensor Data Capability with the Step by Step Method for Producing the Major Cultivation Map (A Case Study: Chadegan City). WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES)[Internet]. 2018;22(3 ):71-80. Available from: https://sid.ir/paper/360957/en

IEEE: Copy

V. RAHDARI, A. R. SOFFIANIAN, S. POURMANAFI, and H. Ghaiumi Mohammadi, “Investigating the Time Series OLI multi Spectral Sensor Data Capability with the Step by Step Method for Producing the Major Cultivation Map (A Case Study: Chadegan City),” WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES), vol. 22, no. 3 , pp. 71–80, 2018, [Online]. Available: https://sid.ir/paper/360957/en

Related Journal Papers