Publication:

Estimating canopy water content using hyperspectral remote sensing data

Date

Date

Date
2010
Journal Article
Published version

Citations

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Clevers, J. G. P. W., Kooistra, L., & Schaepman, M. E. (2010). Estimating canopy water content using hyperspectral remote sensing data. International Journal of Applied Earth Observation and Geoinformation, 12, 119–125. https://doi.org/10.1016/j.jag.2010.01.007

Abstract

Abstract

Abstract

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 970 nm water abso

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223 since deposited on 2010-07-09
222last week
Acq. date: 2025-11-12

Additional indexing

Creators (Authors)

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
12

Number

Number

Number
2

Page range/Item number

Page range/Item number

Page range/Item number
119

Page end

Page end

Page end
125

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Keywords

First derivative

Language

Language

Language
English

Publication date

Publication date

Publication date
2010-04

Date available

Date available

Date available
2010-07-09

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
1569-8432

OA Status

OA Status

OA Status
Closed

Metrics

Views

223 since deposited on 2010-07-09
222last week
Acq. date: 2025-11-12

Citations

Citation copied

Clevers, J. G. P. W., Kooistra, L., & Schaepman, M. E. (2010). Estimating canopy water content using hyperspectral remote sensing data. International Journal of Applied Earth Observation and Geoinformation, 12, 119–125. https://doi.org/10.1016/j.jag.2010.01.007

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