Canopy water content (CWC) is important for mapping and monitoring the condition of the terrestrial ecosystem. Spectral information related to the water absorption features at 970 nm and 1200 nm offers possibilities for deriving information on CWC. In this study, we compare the use of derivative spectra, spectral indices and continuum removal techniques for these regions. Hyperspectral reflectance data representing a range of canopies were simulated using the combined PROSPECT + SAILH model. Best results in estimating CWC were obtained by using spectral derivatives at the slopes of the 970 nm and 1200 nm water absorption features. Real data from two different test sites were analysed. Spectral information at both test sites was obtained wit...
Quantitative equivalent water thickness on canopy level (EWTcanopy) is an important land surface var...
The accurate estimation of atmospheric water vapour and the subsequent derivation of surface spectra...
Plant species composition and plant architectural attributes are critical parameters required for th...
Canopy water content (CWC) is important for mapping and monitoring the condition of the terrestrial ...
Hyperspectral remote sensing has demonstrated great potential for accurate retrieval of canopy water...
Canopy water content (CWC) is important for understanding functioning of terrestrial ecosystems. Spe...
Hyperspectral remote sensing has demonstrated great potential for accurate retrieval of canopy water...
Biogeochemical processes in plants, such as photosynthesis, evaporation and net primary production, ...
Canopy water content (CWC) is important for understanding the functioning of terrestrial ecosystems....
Canopy water content (CWC) is one of the most important biochemical properties of plants, which can ...
Spectral imaging data acquired with Advanced Visible tion bands and in those based on water thicknes...
Efficient monitoring of Canopy Water Content (CWC) is a central feature in vegetation studies. The p...
The retrieval of vegetation canopy water content using thermal hyperspectral (TIR, 8–14 μm) measurem...
Remote sensing monitoring and inversion research of vegetation water content is one of the most impo...
Water content of the vegetation canopy or individual leaves is an important variable in physiologica...
Quantitative equivalent water thickness on canopy level (EWTcanopy) is an important land surface var...
The accurate estimation of atmospheric water vapour and the subsequent derivation of surface spectra...
Plant species composition and plant architectural attributes are critical parameters required for th...
Canopy water content (CWC) is important for mapping and monitoring the condition of the terrestrial ...
Hyperspectral remote sensing has demonstrated great potential for accurate retrieval of canopy water...
Canopy water content (CWC) is important for understanding functioning of terrestrial ecosystems. Spe...
Hyperspectral remote sensing has demonstrated great potential for accurate retrieval of canopy water...
Biogeochemical processes in plants, such as photosynthesis, evaporation and net primary production, ...
Canopy water content (CWC) is important for understanding the functioning of terrestrial ecosystems....
Canopy water content (CWC) is one of the most important biochemical properties of plants, which can ...
Spectral imaging data acquired with Advanced Visible tion bands and in those based on water thicknes...
Efficient monitoring of Canopy Water Content (CWC) is a central feature in vegetation studies. The p...
The retrieval of vegetation canopy water content using thermal hyperspectral (TIR, 8–14 μm) measurem...
Remote sensing monitoring and inversion research of vegetation water content is one of the most impo...
Water content of the vegetation canopy or individual leaves is an important variable in physiologica...
Quantitative equivalent water thickness on canopy level (EWTcanopy) is an important land surface var...
The accurate estimation of atmospheric water vapour and the subsequent derivation of surface spectra...
Plant species composition and plant architectural attributes are critical parameters required for th...