AI SearchAssessment of forest resources in national parks in Thailand using multitemporal NOAA AVHRR data
Call Number: AIT Thesis no.SR-99-02 Material type:
SeriesSeries: Asian Institute of Technology. Thesis ; no. SR-99-02Publication details: Bangkok : Asian Institute of Technology, 1999Description: 64 leavesSubject(s): Online resources: Dissertation note: Thesis (M.Sc.) - Asian Institute of Technology, 1999 Summary: For several decades now, forest issues have been the focus of interest and concern of environmentalists and conservationist, due to its vital importance. These ecologically, biotically and complex ecosystem, which is the richest area on earth is steadily shrinking. Several resolution and attempt are made to save these resources like the establishment of National Parks. However, National Parks are not a complete guarantee that these forests will be left undisturbed due to natural forces and factors beyond control. Thus, this study was made possible, to assess the status of forest resources in the National Parks in Thailand using Multi temporal NOAA A VHRR. The Normalized Vegetation Index (NDVI) was utilized to determine the vegetation status. Meanwhile, Becker and Li equation based on the split window technique was used to obtain the Land Surface Temperature (LST). These two parameters were used in the Model developed, which is based on Matrix Method. The study shows that there is a very high correlation coefficient between LST Nighttime and the actual ground surface temperature measurement. Furthermore, there is an inverse relationship between NDVI and LST. The Model developed was proven effective in identifying the status of forest resources for the dry season.
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A thesis submitted in partial fulfillment of the requirements for the Degree of Master in Science, School of Environment, Resources and Development
Thesis (M.Sc.) - Asian Institute of Technology, 1999
For several decades now, forest issues have been the focus of interest and concern of environmentalists and conservationist, due to its vital importance. These ecologically, biotically and complex ecosystem, which is the richest area on earth is steadily shrinking. Several resolution and attempt are made to save these resources like the establishment of National Parks. However, National Parks are not a complete guarantee that these forests will be left undisturbed due to natural forces and factors beyond control. Thus, this study was made possible, to assess the status of forest resources in the National Parks in Thailand using Multi temporal NOAA A VHRR. The Normalized Vegetation Index (NDVI) was utilized to determine the vegetation status. Meanwhile, Becker and Li equation based on the split window technique was used to obtain the Land Surface Temperature (LST). These two parameters were used in the Model developed, which is based on Matrix Method. The study shows that there is a very high correlation coefficient between LST Nighttime and the actual ground surface temperature measurement. Furthermore, there is an inverse relationship between NDVI and LST. The Model developed was proven effective in identifying the status of forest resources for the dry season.
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