2012 ©
             Publication
Journal Publication
Title of Article INTEGRATION OF SPECTRAL MIXTURE ANALYSIS FROM THAICHOTE SATELLITE DATA TO IDENTIFY GREEN VEGETATION CANOPY DENSITY  
Date of Acceptance 31 May 2019 
Journal
     Title of Journal JOURNAL OF THEORETICAL AND APPLIED INFORMATION TECHNOLOGY  
     Standard SCOPUS 
     Institute of Journal Little Lion Scientific 
     ISBN/ISSN 1992-8645 
     Volume 97 
     Issue 13 
     Month July
     Year of Publication 2019 
     Page 3743-3756 
     Abstract Many studies have assessed forest canopy density which is a major factor in evaluating forest status and is an important indicator of possible management interventions. Using satellite remote sensing has proved cost effective means of mapping and monitoring environment in terms of vegetation and other ecological issues. In this study, we demonstrated a new method based on the spatial integration which was operated by combining a spectral mixture analysis (SMA) into multispectral bands to create the green vegetation canopy density (GVCD). The GVCD approach was used to classify the forest canopy density in the Phu Phan National Park, Sakon Nakhon province where it is located in the Northeast of Thailand; it covers an area of approximately 66,470 hectares. THAICHOTE multispectral image with 15-m resolution acquired in 2015 was used in the analyzing process. A spatial integration of green vegetation fraction (GV) and soil fraction derived from SMA technique and scaled shadow index (SSI) was digitally performed and analyzed to classify GVCD. In addition, ground truth investigation of 48 exemplars was conducted to establish the reliability of model used for GVCD. The agreement between the results and the ground observation was reliably obtained with Kappa coefficient of 0.68 and overall accuracy of 79.17%. The results showed the ability of GVCD approach measured by using the analyzed results of VD and SSI to calculate and detect the forest canopy density. This study also revealed the potentiality of THAICHOTE data in monitoring and identifying vegetation conditions.  
     Keyword Spectral Mixture Analysis (SMA); Green Vegetation Canopy Density (GVCD); Green Vegetation fraction (GV); Soil fraction; THAICHOTE data  
Author
587020011-5 Miss SUNSANEE MANEECHOT [Main Author]
Science Doctoral Degree

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