AI SearchEstimation of Net Primary Productivity (NPP) using remote sensing and local parameters in Thailand
Call Number: AIT Thesis no.SR-03-12 Material type:
SeriesSeries: Asian Institute of Technology. Thesis ; no. SR-03-12Publication details: Pathum Thani, Thailand : Asian Institute of Technology, 2003Description: 82 leavesSubject(s): Online resources: Dissertation note: Thesis (M. Sc.) - Asian Institute of Technology, 2003 Summary: Net 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.
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A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science, School of Advanced Technologies
Thesis (M. Sc.) - Asian Institute of Technology, 2003
Net 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.
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