DocumentCode :
1923701
Title :
Using hyperspectral remote sensing data for retrieving canopy water content
Author :
Clevers, J.G.P.W. ; Kooistra, L.
Author_Institution :
Centre for Geo-Inf., Wageningen Univ., Wageningen, Netherlands
fYear :
2009
fDate :
26-28 Aug. 2009
Firstpage :
1
Lastpage :
4
Abstract :
Canopy water content (CWC) is important for understanding functioning of terrestrial ecosystems. Spectral derivatives at the slopes of the 970 nm and 1200 nm water absorption features offer good potential as estimators for CWC. An extensively grazed fen meadow is used as test site in this study. Results are compared with simulations with the PROSAIL radiative transfer model. The first derivative at the left slope of the feature at 970 nm is found to be highly correlated with CWC and the relationship corresponds to the one found with PROSAIL simulations. Use of the derivative over the 940 - 950 nm interval is suggested. In order to avoid interference with absorption by atmospheric water vapour, the potential of estimating CWC using the first derivative at the right slope of the 970 nm absorption feature is recommended. Correlations are a bit lower than those at the left slope, but better than those obtained with water band indices, as shown in previous studies. FieldSpec measurements show that one may use derivatives around the middle of the right slope within the interval between 1015 nm and 1050 nm.
Keywords :
regression analysis; sorption; vegetation mapping; FieldSpec measurements; PROSAIL radiative transfer model; atmospheric water vapour; canopy water content; hyperspectral remote sensing data; terrestrial ecosystems; water absorption features; Absorption; Atmospheric modeling; Content based retrieval; Ecosystems; Hyperspectral imaging; Hyperspectral sensors; Information retrieval; Interference; Remote sensing; Testing; Remote sensing; canopy water content; hyperspectral; spectral derivatives; water absorption features;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009. WHISPERS '09. First Workshop on
Conference_Location :
Grenoble
Print_ISBN :
978-1-4244-4686-5
Electronic_ISBN :
978-1-4244-4687-2
Type :
conf
DOI :
10.1109/WHISPERS.2009.5289058
Filename :
5289058
Link To Document :
بازگشت