EVALUATION OF ULTRACAM-D IMAGES CAPABILITY FOR TREE SPECIES IDENTIFICATION USING OBJECT-BASED METHOD IN THE EVEN-AGED MIXED FORESTATION

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DARVISH SEFAT A.A.; RAFIEIAN O.; BABAEI KAFAKI S.; MATAJI A.A.

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Journal: Iranian journal of Forest Year:2010 | Volume:2 | Issue:2 Page(s): 165-176

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Information Journal Paper

Title

EVALUATION OF ULTRACAM-D IMAGES CAPABILITY FOR TREE SPECIES IDENTIFICATION USING OBJECT-BASED METHOD IN THE EVEN-AGED MIXED FORESTATION

Author(s)

DARVISH SEFAT A.A. | RAFIEIAN O. | BABAEI KAFAKI S. | MATAJI A.A. | Issue Writer Certificate

Keywords

ULTRACAM-DQ2

OBJECT-BASED CLASSIFICATIONQ3

TREE SPECIES IDENTIFICATIONQ2

EVEN-AGED MIXED FORESTATIONQ3

HIERARCHICAL SEGMENTATIONQ3

Abstract

One important point in using all the capabilities of digital aerial images in forest management is the implementation of optimized classification methods and extraction of useful information from the forest. OBJECT-BASED CLASSIFICATION reduces local spectral variations caused by crown textures, gaps and shadows. In addition, with spectrally homogeneous segments of images, both spectral values and spatial properties, such as size, shape and texture can be explicitly utilized as features for further classification. The aim of this study is to evaluate the possibility of object-based method for the identification of major tree species and mapping those using aerial digital (ULTRACAM-D) images in forested areas. After pre-processing of images, a trial and error method was employed to achieve the ideal segmentation results. In order to construct the hierarchical image object network, segmentation was conducted stepwise at two levels. The classification hierarchy was developed and NN classification was performed. Accuracy assessment of the produced maps, comparing with field reference data showed the overall accuracy and Kappa coefficient of 90% and 0.82, respectively. To evaluate the data and the method, similar studies seem to be necessary in different forest structures. Furthermore, classification of tree species composition with such high level of detail and accuracy would be suitable to combine with DSM, DTM or LiDAR data.

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APA: Copy

DARVISH SEFAT, A.A., RAFIEIAN, O., BABAEI KAFAKI, S., & MATAJI, A.A.. (2010). EVALUATION OF ULTRACAM-D IMAGES CAPABILITY FOR TREE SPECIES IDENTIFICATION USING OBJECT-BASED METHOD IN THE EVEN-AGED MIXED FORESTATION. IRANIAN JOURNAL OF FOREST, 2(2), 165-176. SID. https://sid.ir/paper/123031/en

Vancouver: Copy

DARVISH SEFAT A.A., RAFIEIAN O., BABAEI KAFAKI S., MATAJI A.A.. EVALUATION OF ULTRACAM-D IMAGES CAPABILITY FOR TREE SPECIES IDENTIFICATION USING OBJECT-BASED METHOD IN THE EVEN-AGED MIXED FORESTATION. IRANIAN JOURNAL OF FOREST[Internet]. 2010;2(2):165-176. Available from: https://sid.ir/paper/123031/en

IEEE: Copy

A.A. DARVISH SEFAT, O. RAFIEIAN, S. BABAEI KAFAKI, and A.A. MATAJI, “EVALUATION OF ULTRACAM-D IMAGES CAPABILITY FOR TREE SPECIES IDENTIFICATION USING OBJECT-BASED METHOD IN THE EVEN-AGED MIXED FORESTATION,” IRANIAN JOURNAL OF FOREST, vol. 2, no. 2, pp. 165–176, 2010, [Online]. Available: https://sid.ir/paper/123031/en

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