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008 140618s2012 th ad ||| |000 0 eng d
035 _a.b12133309
099 9 _aAIT Thesis no.RS-12-07
100 0 _aNatthasiree Chulinrak
245 1 0 _aAbove ground biomass study in dipterocarp forest, Southeast Asia by ALOS AVNIR-2 and PALSAR
260 _aPathum Thani :
_bAsian Institute of Technology,
_c2012
300 _a220 leaves :
_bill., charts
490 1 _aThesis ;
_vno. RS-12-07
500 _aA thesis submitted in partial fulfillment of the requirements for the Degree of Master of Science in Remote Sensing and Geographic Information Systems, School of Engineering and Technology
502 _aThesis (M. Sc.) - Asian Institute of Technology, 2012
520 _aThis study focuses on above ground biomass (AGB) in Dipterocarp forest along the road number 9, Savannakhet Province, Lao PDR, Southeast Asia. The aims of the study were to i) explore in both direct and indirect existing measurements of AGB estimation ii) examine the characteristic of Dipterocarp forest from forest inventory iii) study an alternative AGB estimation through multiple regression analysis on ALOS A VNIR-2, PALSAR, and AGB forest inventory iv) examine the optical and radar characteristic of Dipterocarp forest. Based on both literature and empirical study, a framework was developed to help understand the methodology for this study. For estimation of AGB, the direct and indirect measurements were used in this study. Destructive and Non-Destructive methods were fulfilled AGB estimation. ALOS AVNIR-2 and PALSAR (L-band) HH and HVPolarization were applied for this study. Then, statistical analysis was fulfilled to achieve the function for AGB estimation. The direct measurement done by manpower was expensive and time-consuming. Moreover, wide and inaccessible forest areas were hard to collect data although AGB was very precise and accurate. Therefore, the indirect measurement extracted the productivity through remote sensing technology. Although multiple regressions served an unsatisfactory correlation to the study due to the saturation level on radar backscatter, the potential of radar backscatter characteristic can be explained Dipterocarp forest through three consecutive years on satellite images.
650 0 _aForest biomass
_xRemote sensing
_zAsia, Southeastern
650 0 _aBiomass
_xRemote sensing
_zAsia, Southeastern
700 1 _aKamiya, Yoshikazu,
_eChairperson
700 1 _aTaravudh Tipdecho,
_eExamination committee
700 1 _aShrestha, Rajendra Prasad,
_eExamination Committee
710 2 _aRoyal Thai Government,
_eScholarship donor
810 2 _aAsian Institute of Technology.
_tThesis ;
_vno. RS-12-07
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B10988
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_tAbstract--AIT Thesis no.RS-12-07
_vn
945 _lmnait
945 _lmnait
945 _lmnarc
945 _lmnarc
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