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Near real time burn scars detection in dry dipterocarp and mixed deciduous forest of Thailand using Terra MODIS data | |
Author | Veerachai Tanpipat |
Call Number | AIT Diss. no.RS-09-04 |
Subject(s) | Forest fires--Detection--Thailand--Remote-sensing images |
Note | A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Engineer in Remote Sensing and GIS |
Publisher | Asian Institute of Technology |
Series Statement | Dissertation ; no. RS-09-04 |
Abstract | Near Real Time Burn Scars Detection in Dr y Dipterocarp and Mixed Deciduous Forest of Thailand Using Terra MODIS Data This thesis presents a development of the new near real time burn scars detection algorithm using Terra MODIS data. Its goal is to introduce new and effective near real time monitoring capabilities for the burn scars estimation using LANDSAT in Thailand, where near real time information is missing, for more efficient forest fire control resources allocation. The concept of the newly proposed near real time burn scars detection algorithm was developed based on the information found in the Fire Experiment (in collaboration with the Forest Fire Control Office at the Huai-Kha-Kaeng (HKK) Wildlife Sanctuary) and MODIS comparison. The derivative from Band 1 and 2, NDVI, was used to distinguish vegetations’ condition change (unusual low). Band 20, a thermal band, was used to discriminate abnormal pixel temperature (unusual high). The scatter plot of Burn and Un-burn pixels is the fundamental knowledge to calculate the burn-un-burn separation using a linear equation. Validation shows well conformed additional temporal burn scars detection information with good accuracy in term of forest fire burn scars dynamic movement throughout the forest fire season in the year 2002 |
Year | 2009 |
Corresponding Series Added Entry | Asian Institute of Technology. Dissertation ; no. RS-09-04 |
Type | Dissertation |
School | School of Engineering and Technology (SET) |
Department | Department of Information and Communications Technologies (DICT) |
Academic Program/FoS | Remote Sensing (RS) |
Chairperson(s) | Honda, Kiyoshi |
Examination Committee(s) | Kanchana Kanchanasut ;Tripathi, Nitin Kumar |
Scholarship Donor(s) | Royal Thai Government (RTG) |
Degree | Thesis (Ph.D.) - Asian Institute of Technology, 2009 |