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035 _a.b11937361
099 9 _aAIT Thesis no.SR-03-12
100 0 _aSupannika Potithep
245 1 0 _aEstimation of Net Primary Productivity (NPP) using remote sensing and local parameters in Thailand
260 _aPathum Thani, Thailand :
_bAsian Institute of Technology,
_c2003
300 _a82 leaves
490 1 _aThesis ;
_vno. SR-03-12
500 _aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Science, School of Advanced Technologies
502 _aThesis (M. Sc.) - Asian Institute of Technology, 2003
520 _aNet Primary Productivity (NPP) is a vital element to measure the carbon absorption by the plants. NPP needs to be estimated at national scale to toward actual interpretation of Kyoto Protocol to mitigate climate change caused by C02 increase. It can be identified as the carbon absorption level at each country. NPP estimation in Thailand is computed based on Production Efficiency Model (PEM). PEM is modified to consider local parameters; sunshine duration which is used to generate PAR image. FPAR is derived from NDVI image using a linear function. NPP estimation result is obtained by the multiplication of APAR image, which is calculated from FPAR and PAR, and the conversion efficiency. The result of NPP estimation is shown in terms of land cover types. The statistical analysis is used to investigate NPP pattern at each land cover types, and to carry out the sensitivity analysis between NPP estimation and input parameters. As well, NPP estimation results is analyzed the relation with meteorological conditions in study field area. Mean NPP of Thailand was estimated as 1,724 g/m2/year or 0.88 Gton/year. The forest area has shown NPP value of 2,346 g/m2/year or 0.31 Gton/year. Also the agriculture area has shown NPP value of 1,432 g/m2/year or 0.28 Gton/year. Based on NPP estimation in Thailand, it was found that NPP pattern of forest has almost high value over the year, and it is stable. For NPP pattern of agriculture area, it has shown low value during May to June and October to November. NPP value has shown high value in February and March and July to August. NPP of forest plantation has high positive correlation with PAR at each age of forest. However, NPP of agriculture has strong positive conelation with FPAR. NPP of forest plantation in the field area and meteorological conditions such as sunshine duration and evaporation have some correlation. However, temperature, rainfall and relative humidity do not have any relation with NPP of forest plantation.
650 0 _aRemote sensing
_zThailand
650 0 _aForests and forestry
_zThailand
_xRemote sensing
700 1 _aHonda, Kiyoshi,
_eChairperson
700 1 _aTripathi, Nitin Kumar,
_eExamination Committee
700 1 _aBorne, Frederic,
_eExamination committee
700 0 _aSuree Bhumibhamon,
_eExamination committee
710 2 _aNational Space Development Agency of Japan (NASDA),
_eScholarship donor
810 2 _aAsian Institute of Technology.
_tThesis ;
_vno. SR-03-12
856 _3Full-Text
_u http://203.159.5.9/ait-thesis/detail.php?q=B08868
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_tAbstract--AIT Thesis no.SR-03-12
_vn
945 _lmnait
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