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Retrieval of canopy water content using a new spectral area index method
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015Canopy water content (CWC) is one of the most important biochemical properties of plants, which can be estimated from remote sensing data conveniently by using vegetation water indices. This paper started from the analysis of some existing indices and then proposed two novel indices to estimate CWC.
Xiao Po Zheng +7 more
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Hyperspectral Retrieval of Canopy Water Content Through Inversion of the Beer-Lambert Law
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018The retrieval of quantitative equivalent water thickness on canopy level $(\mathrm{EWT}_{\mathrm{c}})$ is an agriculturally important task for hyperspectral remote sensing. In this study the Beer-Lambert law is applied to inversely determine water content from measured winter wheat spectra collected in 2015 and 2017.
Matthias Wocher +4 more
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Linking the contents of hydrophobic PAHs with the canopy water storage capacity of coniferous trees
Environmental Pollution, 2018The canopy water storage capacity (S) is an important parameter for the hydrological cycle in forests. One factor which influences the S is leaf texture, which in turn is thought to be affected by the contents of polycyclic aromatic hydrocarbons (PAHs).
Klamerus-Iwan Anna +5 more
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International Journal of Remote Sensing, 2016
There are two main parameters describing the amount of water in vegetation: the gravimetric water content GWC and the equivalent water thickness EWT. In this study, we investigated the applicability of hyperspectral water-sensitive indices from canopy spectra for estimating canopy EWT CEWT and GWC.
Liangyun Liu, Su Zhang, Bing Zhang
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There are two main parameters describing the amount of water in vegetation: the gravimetric water content GWC and the equivalent water thickness EWT. In this study, we investigated the applicability of hyperspectral water-sensitive indices from canopy spectra for estimating canopy EWT CEWT and GWC.
Liangyun Liu, Su Zhang, Bing Zhang
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[Estimating canopy water content in wheat based on new vegetation water index].
Guang pu xue yu guang pu fen xi = Guang pu, 2015Moisture content is an important indicator for crop water stress condition, timely and effective monitoring crop water content is of great significance for evaluate crop water deficit balance and guide agriculture irrigation. In order to improve the saturated problems of different forms of typical NDWI (Normalized Different Water Index), we tried to ...
Xiao-juan, Cheng +6 more
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Vegetation Water Content… Or Vegetation Canopy Water?
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023openaire +1 more source
Mapping relative water content in Douglas-Fir with AVIRIS and a canopy model
Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05., 2005Jingyang Li +2 more
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Soil moisture variation drives canopy water content dynamics across the western U.S.
Remote Sensing of Environment, 2021Solomon Z Dobrowski +2 more
exaly
[Estimation models for vegetation water content at both leaf and canopy levels].
Ying yong sheng tai xue bao = The journal of applied ecology, 2007Based on spectral indices method, this paper utilized the water content (Cw) and reflectance data of 67 fresh different type leaves from LOPEX' 93 database to establish the statistical model between leaf Cw and spectral indices at leaf level through 47 samples, and to test the model with the other 20 samples.
Yan, Shen, Zheng, Niu, Chunyan, Yan
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