Estimating Vegetation Indices and Carbon Dioxide Flux in Paddy Field Using Remote Sensing Images
Date Issued
2011
Date
2011
Author(s)
Chen, Ying-Syuan
Abstract
The major purpose of this study is to use field measurements and Landsat-7ETM satellite images to detect the two-scale paddy field parameters in the vegetative growth
period of rice, and to investigate the relationships between the vegetation indices and the carbon dioxide fluxes.
In this study, FAPAR was estimated using an algorithm developed by Gobron (2005) , and the Monteith light use efficiency model was used to estimate NPP.
Empirical relationships between NDVI, FAPAR, NPP and CO2 flux were established. It was found that NPP is more sensitive than NDVI and FAPAR. Such results are consistent with Zhao (2006b) that NPP is the primary driver of the atmospheric CO2 growth rate.
Subjects
Normalized Difference Vegetation Index (NDVI)
Fraction of Absorbed Photosynthetically Active Radiation (FAPAR)
net primary production (NPP)
CO2 flux
Remote sensing.
Type
thesis
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