CAPABILITY STUDY ON MAPPING THE DIVERSITY AND CANOPY COVER DENSITY IN ZAGROS FORESTS USING ETM+ IMAGES (CASE STUDY GHALAJEH FORESTS, KIRMANSHAH PROVINCE)

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PARMA R.A.; SHATAEI JOUYBARI SH.

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Journal: Iranian journal of Forest Year:2010 | Volume:2 | Issue:3 Page(s): 231-242

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Title

CAPABILITY STUDY ON MAPPING THE DIVERSITY AND CANOPY COVER DENSITY IN ZAGROS FORESTS USING ETM+ IMAGES (CASE STUDY GHALAJEH FORESTS, KIRMANSHAH PROVINCE)

Author(s)

PARMA R.A. | SHATAEI JOUYBARI SH. | Issue Writer Certificate

Keywords

CANOPY COVER DENSITYQ2

TREE DIVERSITYQ1

ETM++Q2

ZAGROSQ2

GHALAJEHQ3

Abstract

Capability of ETM++ Data in canopy cover and TREE DIVERSITY mapping were investigated in GHALAJEH Forests in the Kirmanshah province. land information were provided in 114 plots with 0.36 ha trough systematic sampling method. The images were georeferenced using ground control points. Synthetic bands were generated using rationing, Vegetation indices, principal component analysis, Tasseled Cap transformation and fusion. For supervised classification, some training areas were selected and selection of the appropriate bands was performed using divergence separability index. Classification of images was done using maximum likelihood classifier and map obtained was assessed by sampling ground truth map. The results showed that the classified map had an overall accuracy of 52% and Kappa coefficient 0.25 for four density classes and for two merged classes of sparse and semi dense classes with an overall accuracy and Kappa coefficient of 71% and 0.39, respectively. Results generally showed a moderate capability ETM++ data to provide canopy cover map in ZAGROS forest. For diversity mapping, the Shannon-Weiner index was calculated for each plot. After the extraction of spectral values of plots in the original and processing bands and the Kolmogorov-Smirnov normalization test, the Pierson correlation coefficient was used for selection of the best bands in regression model. Among 40 original and synthetic bands, the 3 band of ETM+4, NDVI and MSAVI2 had better linear combination for modeling by using the best subset regression method. Results showed that the linear combination ETM+4, NDVI and MSAVI2 could better be estimated (Radj2=0.327) for the scrubs and trees diversity in comparison with other combinations and bands. Obtained results are expressing moderate low capability of ETM++ data in scrub and trees species diversity estimation in study region.

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APA: Copy

PARMA, R.A., & SHATAEI JOUYBARI, SH.. (2010). CAPABILITY STUDY ON MAPPING THE DIVERSITY AND CANOPY COVER DENSITY IN ZAGROS FORESTS USING ETM+ IMAGES (CASE STUDY GHALAJEH FORESTS, KIRMANSHAH PROVINCE). IRANIAN JOURNAL OF FOREST, 2(3), 231-242. SID. https://sid.ir/paper/123247/en

Vancouver: Copy

PARMA R.A., SHATAEI JOUYBARI SH.. CAPABILITY STUDY ON MAPPING THE DIVERSITY AND CANOPY COVER DENSITY IN ZAGROS FORESTS USING ETM+ IMAGES (CASE STUDY GHALAJEH FORESTS, KIRMANSHAH PROVINCE). IRANIAN JOURNAL OF FOREST[Internet]. 2010;2(3):231-242. Available from: https://sid.ir/paper/123247/en

IEEE: Copy

R.A. PARMA, and SH. SHATAEI JOUYBARI, “CAPABILITY STUDY ON MAPPING THE DIVERSITY AND CANOPY COVER DENSITY IN ZAGROS FORESTS USING ETM+ IMAGES (CASE STUDY GHALAJEH FORESTS, KIRMANSHAH PROVINCE),” IRANIAN JOURNAL OF FOREST, vol. 2, no. 3, pp. 231–242, 2010, [Online]. Available: https://sid.ir/paper/123247/en

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