PRODUCING RANGELAND VEGETATION TYPES USING LISS-III AND ASTER SATELLITE SENSORS (CASE STUDY: DEYLAM AREA)

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YOUSEFI KHANGHAH S.; ARZANI H.; JAVADI S.A.; JAFARI M.

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Journal: Journal of RS and GIS for Natural Resources Year:2013 | Volume:4 | Issue:2 Page(s): 81-91

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Title

PRODUCING RANGELAND VEGETATION TYPES USING LISS-III AND ASTER SATELLITE SENSORS (CASE STUDY: DEYLAM AREA)

Author(s)

YOUSEFI KHANGHAH S. | ARZANI H. | JAVADI S.A. | JAFARI M. | Issue Writer Certificate

Keywords

VEGETATION TYPEQ2

ASTERQ2

LISS-IIIQ2

CLASSIFICATIONQ2

SATELLITE DATAQ2

DEYLAMQ2

Abstract

The aim of the study was to produce rangeland VEGETATION TYPEs using LISS-III and ASTER satellite sensors in DEYLAM area, Bushehr province, Iran. Studying an area has dry Climate and located in the coastal region with 15915 hectare. Geometric corrections of images were applied using ground control points and georeferenced images with RMSE less than one pixel, then images co-registered with together (RMSE<0.2 pixel). The atmospheric corrections of images were applied using subtraction of dark object's method. Image spatial resolution enhanced using fusion with a panchromatic band of IRS P6. Image processing includes CLASSIFICATION of images using supervised CLASSIFICATION (Maximum Likelihood and Neural Network methods) with 50 training area (each sample is an average of nine plots) to producing rangeland VEGETATION TYPEs, and determining of the accuracy of producing maps with 25 ground truth samples. The results show that both sensors can produce suitable VEGETATION TYPEs map in two years, and didn’t differentiate between producing VEGETATION TYPE's maps with sensors. Overall accuracy for LISS III and ASTER are 91% and 84.3% for ML and 71.3% and 65.6% for NN CLASSIFICATION methods sequentially. The satellite images cannot determine exactly the VEGETATION TYPE boundary; therefore, the produced maps completed with visual interpretation of images.

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APA: Copy

YOUSEFI KHANGHAH, S., ARZANI, H., JAVADI, S.A., & JAFARI, M.. (2013). PRODUCING RANGELAND VEGETATION TYPES USING LISS-III AND ASTER SATELLITE SENSORS (CASE STUDY: DEYLAM AREA). JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), 4(2), 81-91. SID. https://sid.ir/paper/189617/en

Vancouver: Copy

YOUSEFI KHANGHAH S., ARZANI H., JAVADI S.A., JAFARI M.. PRODUCING RANGELAND VEGETATION TYPES USING LISS-III AND ASTER SATELLITE SENSORS (CASE STUDY: DEYLAM AREA). JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE)[Internet]. 2013;4(2):81-91. Available from: https://sid.ir/paper/189617/en

IEEE: Copy

S. YOUSEFI KHANGHAH, H. ARZANI, S.A. JAVADI, and M. JAFARI, “PRODUCING RANGELAND VEGETATION TYPES USING LISS-III AND ASTER SATELLITE SENSORS (CASE STUDY: DEYLAM AREA),” JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), vol. 4, no. 2, pp. 81–91, 2013, [Online]. Available: https://sid.ir/paper/189617/en

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