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Mapping spatial variation of foliar nitrogen using hyperspectral remote sensing
The thesis aimed to retriever foliar nitrogen at the leaf and canopy level using radiative transfer models and with hyperspectral remote sensing. The research in this thesis firstly evaluated the feasibility of retrieving nitrogen by inversion of aleaf radiative transfer model PROSPECT. The indirect estimation of nitrogen by inversion of leaf PROSPECT through links between model and the empirical relationship between nitrogen and leaf traits (e.g. leaf water, leaf mass per area and chlorophyll). Secondly, the thesis recalibrated the specific absorption coefficients of protein and cellulose + lignin and proved that the recalibrated model can accurately simulate leaf reflectance and transmittance. Nitrogen can be estimated at a moderate accuracy by inversion of the recalibrated model.
The thesis evaluated the feasibility of nitrogen of retrieval from the canopy BRF in the full wavelengths between 425-2500 nm corrected for canopy structure effects. The results showed that nitrogen can still be detected from canopy BRF after correcting for canopy structure, and continuum wavelet analysis was shown to be an effecient method of revealing the nitrogen absorption features. The selected wavelet feature most sensitive to nitrogen variation were found to be correlated with water, dry matter and protein . Lastly, the thesis tested the capability of coupled leaf canopy models in foliar nitrogen estimation. Global sensitivity analysis showed that the influence of nitrogen content on canopy reflectance is small but noticeable. Canopy nitrogen content was more accurately predicted than leaf nitrogen content. Maps of leaf and canopy nitrogen were generated for the study area, and spatial variations of nitrogen appeared consistent with ecological knowledge.
B201715080323 | DS 621.3678 ZHI m | Perpustakaan BIG (600) | Tersedia |
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