EVALUATION OF THE CAPABILITY OF IRS- LISS III AND SPOT- HRG DATA FOR IDENTIFICATION AND SEPARATION OF POLLARDING FOREST AREAS IN NORTHERN ZAGROS (CASE STUDY: KURDISTAN, POLLARDED FORESTS OF BANEH)

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.

MORADI AYOUB; OULADI GHADIKOLAEI J.; FALAH ASGHAR; FATEHI P.

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

Journal Paper

Paper Information

Journal: Iranian Journal of Forest and Poplar Research Year:2009 | Volume:17 | Issue:3 (37) Page(s): 450-463

Download Full-Text

Persian Verion

View:

1,161

Download:

Cites:

Information Journal Paper

Title

EVALUATION OF THE CAPABILITY OF IRS- LISS III AND SPOT- HRG DATA FOR IDENTIFICATION AND SEPARATION OF POLLARDING FOREST AREAS IN NORTHERN ZAGROS (CASE STUDY: KURDISTAN, POLLARDED FORESTS OF BANEH)

Author(s)

MORADI AYOUB | OULADI GHADIKOLAEI J. | FALAH ASGHAR | FATEHI P. | Issue Writer Certificate

Keywords

SATELLITE DATAQ3

DATA FUSIONQ3

VEGETATION INDICESQ3

PCAQ3

POLLARDINGQ2

NORTHERN ZAGROSQ2

Abstract

To evaluate the capability of SPOT5 HRG and IRS-P6 LISS-III in separating the POLLARDING areas of NORTHERN ZAGROS forests and preparing the map of this area, some parts of pollarded forests located at Baneh city were selected. The POLLARDING areas (Shan, Kurpe, Khert and Koor) were determined as ground truth in a 3 year alternation period using a global positioning system (GPS). Assessing the radiometric quality, no radiometric error was observed in these data. SPOT5 data which had been already geometrically corrected was used as basis for geometric correction of IRS-P6 color image and IRS-1C panchromatic image. Nonparametric method was used to do geometric correction with Root Mean Square Error (RMSE) of 0.54 and 0.75 pixels for these tow images, respectively. Principal component analysis (PCA) and various spectral rationing methods were used to prepare artificial bands used in data analysis. Likewise, for more image enhancement, HRG and LISS-III multi-spectral bands were fused with IRS-1C pan image. The data was classified using a maximum likelihood (ML) algorithm. This classification was applied using 4 and 6 classes for the studying area and a classification with 3 classes was used for each northern and southern aspects. The separability of classes was studied using Bhuttacharrya Distance Criteria. Result showed that separability of different classes of northern aspect was better than southern aspect. Likewise, northern Khert and agriculture classes were completely separated from other classes. The VEGETATION INDICES showed lower results compare to the original bands. Fused bands of SPOT 5 images showed the highest overall accuracy is equal to 65.3% and the highest Kappa coefficient is equal to 0.63. The highest overall accuracy (70%) and Kappa coefficient (0.60) was obtained using the first component analysis resulted from PCA in combination to bands 1 and 4 IRS-P6 data. According to the results of classifying of these two images, the data obtained before POLLARDING and during of vegetation growth season, showed better results. Regardless of spectral interference between soil and trees crown cover, the results showed the high capability of above mentioned images to separate the POLLARDING areas and to prepare the map of the area.

Cites

No record.

References

Cite

APA: Copy

MORADI, AYOUB, OULADI GHADIKOLAEI, J., FALAH, ASGHAR, & FATEHI, P.. (2009). EVALUATION OF THE CAPABILITY OF IRS- LISS III AND SPOT- HRG DATA FOR IDENTIFICATION AND SEPARATION OF POLLARDING FOREST AREAS IN NORTHERN ZAGROS (CASE STUDY: KURDISTAN, POLLARDED FORESTS OF BANEH). IRANIAN JOURNAL OF FOREST AND POPLAR RESEARCH, 17(3 (37)), 450-463. SID. https://sid.ir/paper/110991/en

Vancouver: Copy

MORADI AYOUB, OULADI GHADIKOLAEI J., FALAH ASGHAR, FATEHI P.. EVALUATION OF THE CAPABILITY OF IRS- LISS III AND SPOT- HRG DATA FOR IDENTIFICATION AND SEPARATION OF POLLARDING FOREST AREAS IN NORTHERN ZAGROS (CASE STUDY: KURDISTAN, POLLARDED FORESTS OF BANEH). IRANIAN JOURNAL OF FOREST AND POPLAR RESEARCH[Internet]. 2009;17(3 (37)):450-463. Available from: https://sid.ir/paper/110991/en

IEEE: Copy

AYOUB MORADI, J. OULADI GHADIKOLAEI, ASGHAR FALAH, and P. FATEHI, “EVALUATION OF THE CAPABILITY OF IRS- LISS III AND SPOT- HRG DATA FOR IDENTIFICATION AND SEPARATION OF POLLARDING FOREST AREAS IN NORTHERN ZAGROS (CASE STUDY: KURDISTAN, POLLARDED FORESTS OF BANEH),” IRANIAN JOURNAL OF FOREST AND POPLAR RESEARCH, vol. 17, no. 3 (37), pp. 450–463, 2009, [Online]. Available: https://sid.ir/paper/110991/en

Related Journal Papers