EVALUATION OF LANDSAT-
ETM+ AND IRS-LISS III SATELLITE DATA FOR FOREST TYPE MAPPING IN ZAGROS FORESTS (CASE STUDY: GHALAJEH FOREST, KERMANSHAH PROVINCE)

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.

PORMA R.; SHATAEE JOYBARI SH.; KHODAKARAMI Y.; HABASHI H.

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:2010 | Volume:17 | Issue:4 (38) Page(s): 594-606

Download Full-Text

Persian Verion

View:

761

Download:

Cites:

Information Journal Paper

Title

EVALUATION OF LANDSAT- ETM+ AND IRS-LISS III SATELLITE DATA FOR FOREST TYPE MAPPING IN ZAGROS FORESTS (CASE STUDY: GHALAJEH FOREST, KERMANSHAH PROVINCE)

Author(s)

PORMA R. | SHATAEE JOYBARI SH. | KHODAKARAMI Y. | HABASHI H. | Issue Writer Certificate

Keywords

LISS IIIQ3

MAXIMUM LIKELIHOODQ3

FOREST TYPE MAPPINGQ3

SAMPLING GROUND TRUTHQ3

ZAGROSQ3

SANS-SERIF"> ETM+Q2

Abstract

In order to evaluate and compare the capability of ETM+ and LISS III data for FOREST TYPE MAPPING in the ZAGROS forests, a small window of panchromatic and multispectral images of Landsat-ETM+ and IRS-P6-LISS III satellite data were selected from Ghalajeh forests in the Kermanshah province. No radiometric error was found using the quality investigations. Orthorectification of ETM+ was done using 55 ground control points with RMS error of 0.39 for X axis and 0.46 for Y axis and for LISS-III imagery with 34 ground control points with RMS error of 0.67 for X axis and 0.58 for Y axis. Some suitable image processing functions such as principal component analysis, tasseled cap transformation and appropriate vegetation indexes were applied for classification processes. In order to assess the classification results, a sample ground truth was generated using a systematic network with 60m×60m sample area. By computing the canopy cover percent of species, four forest types were determined in the study area. By selecting 25% of samples for each class as training samples, the best band sets were selected using transformed divergence separability index. Classification was performed by supervised method using minimum distance (MD), MAXIMUM LIKELIHOOD and parallel epiped (PPD) classifiers. Results of classification showed that overall accuracy and kappa coefficient for 5 classes for ETM+ images were obtained %44.57 and 0.18 and for LISS III Images %50.6 and 0.32, respectively. After merging the classes of 1 and 2 due to spectral overlapping, the overall accuracy and kappa coefficient for 4 classes using ETM+ images were obtained %61.08 and 0.21 and for LISS III Images, %71.44 and 0.33, respectively. Finally, by merging the classes of 3, 4 and 5, classification was done with two types and the overall accuracy and kappa coefficient obtained %74.1 and 0.37 for ETM+ and %77.7 and 0.41 for LISS III, respectively. Being open canopy cover as well as conflicts between soil and vegetation reflectance caused preventive of obtaining the more favorite results. Result showed fairly more capability of LISS III data in compare to ETM+. Similar research in other regions and using of higher multispectral resolution data is suggested.

Cites

No record.

References

Cite

APA: Copy

PORMA, R., SHATAEE JOYBARI, SH., KHODAKARAMI, Y., & HABASHI, H.. (2010). EVALUATION OF LANDSAT- ETM⁺ AND IRS-LISS III SATELLITE DATA FOR FOREST TYPE MAPPING IN ZAGROS FORESTS (CASE STUDY: GHALAJEH FOREST, KERMANSHAH PROVINCE). IRANIAN JOURNAL OF FOREST AND POPLAR RESEARCH, 17(4 (38)), 594-606. SID. https://sid.ir/paper/111436/en

Vancouver: Copy

PORMA R., SHATAEE JOYBARI SH., KHODAKARAMI Y., HABASHI H.. EVALUATION OF LANDSAT- ETM⁺ AND IRS-LISS III SATELLITE DATA FOR FOREST TYPE MAPPING IN ZAGROS FORESTS (CASE STUDY: GHALAJEH FOREST, KERMANSHAH PROVINCE). IRANIAN JOURNAL OF FOREST AND POPLAR RESEARCH[Internet]. 2010;17(4 (38)):594-606. Available from: https://sid.ir/paper/111436/en

IEEE: Copy

R. PORMA, SH. SHATAEE JOYBARI, Y. KHODAKARAMI, and H. HABASHI, “EVALUATION OF LANDSAT- ETM⁺ AND IRS-LISS III SATELLITE DATA FOR FOREST TYPE MAPPING IN ZAGROS FORESTS (CASE STUDY: GHALAJEH FOREST, KERMANSHAH PROVINCE),” IRANIAN JOURNAL OF FOREST AND POPLAR RESEARCH, vol. 17, no. 4 (38), pp. 594–606, 2010, [Online]. Available: https://sid.ir/paper/111436/en

Related Journal Papers