Estimating canopy water content using hyperspectral remote sensing data

Hyperspectral remote sensing has demonstrated great potential for accurate retrieval of canopy water content (CWC). This CWC is defined by the product of the leaf equivalent water thickness (EWT) and the leaf area index (LAI). In this paper, in particular the spectral information provided by the can...

Full description

Saved in:
Bibliographic Details
Published in:International journal of applied earth observation and geoinformation 2010-04, Vol.12 (2), p.119-125
Main Authors: Clevers, J.G.P.W., Kooistra, L., Schaepman, M.E.
Format: Article
Language:English
Subjects:
Applied geophysics
Canopies
Canopy water content
Derivatives
Earth sciences
Earth, ocean, space
Estimating
Exact sciences and technology
First derivative
Hyperspectral
Internal geophysics
Intervals
Mathematical models
Moisture content
PROSAIL
Remote sensing
Spectra
Spectroradiometers
Water absorption features
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Hyperspectral remote sensing has demonstrated great potential for accurate retrieval of canopy water content (CWC). This CWC is defined by the product of the leaf equivalent water thickness (EWT) and the leaf area index (LAI). In this paper, in particular the spectral information provided by the canopy water absorption feature at 970nm for estimating and predicting CWC was studied using a modelling approach and in situ spectroradiometric measurements. The relationship of the first derivative at the right slope of the 970nm water absorption feature with CWC was investigated with the PROSAIL radiative transfer model and tested for field spectroradiometer measurements on two test sites. The first site was a heterogeneous floodplain with natural vegetation like grasses and various shrubs. The second site was an extensively grazed fen meadow. PROSAIL simulations (using coupled SAIL/PROSPECT-5 models) showed a linear relationship between the first derivative over the 1015–1050nm spectral interval and CWC (R2=0.97). For 8 plots at the floodplain site the spectral derivative over the 1015–1050nm interval obtained with an ASD FieldSpec spectroradiometer yielded an R2 of 0.51 with CWC. For 40 plots at the fen meadow ASD FieldSpec spectral measurements yielded an R2 of 0.68 for the derivative over the 1015–1050nm interval with CWC. Consistency of the results confirmed the potential of using simulation results for calibrating the relationship between this first derivative and CWC.
ISSN:1569-8432
1872-826X
DOI:10.1016/j.jag.2010.01.007