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Remote sensing of canopy water content during SMEX'04 and SMEX'05 using shortwave-infrared reflectances
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Date
2008-12-01
Author
Hunt Jr., E. Raymond
Yılmaz, Mustafa Tuğrul
Jackson, Thomas J.
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The Soil Moisture Experiments in 2004 and 2005 were conducted to validate algorithms for soil moisture retrievals. One of the key parameters for determination of soil moisture from microwave sensors is the vegetation water content of canopy and stems. We tested if canopy water content could be determined from reflectances in the shortwave-infrared and if the amount of canopy water content was related to the total vegetation water content by allometric equations. The normalized difference infrared index (NDII) was linearly related to canopy water content for all plants up to an equivalent water thickness of 1.0 mm. The biggest factor affecting the estimation of canopy water content was the soil background reflectance. For corn and soybean canopy equivalent water thickness were linearly related to total vegetation water content. However, there may be a separate allometric equation required for each vegetation type.
Subject Keywords
Soil Moisture Experiment
,
Normalized Difference Infrared Index
,
Vegetation Water Content
URI
https://hdl.handle.net/11511/35852
DOI
https://doi.org/10.1109/igarss.2008.4779090
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Department of Civil Engineering, Conference / Seminar
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Remote sensing of vegetation water content using shortwave infrared reflectances
Hunt Jr., E. Raymond; Yılmaz, Mustafa Tuğrul (2007-12-01)
Vegetation water content is an important biophysical parameter for estimation of soil moisture from microwave radiometers. One of the objectives of the Soil Moisture Experiments in 2004 (SMEX04) and 2005 (SMEX05) were to develop and test algorithms for a vegetation water content data product using shortwave infrared reflectances. SMEX04 studied native vegetation in Arizona, USA, and Sonora, Mexico, while SMEX05 studied corn and soybean in Iowa, USA. The normalized difference infrared index (NDII) is defined...
Remote sensing of leaf equivalent water thickness and vegetation water content using shortwave infrared reflectances
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Vegetation water content is an important biophysical parameter for estimation of soil moisture from microwave radiometers. One of the objectives of the Soil Moisture Experiments in 2004 (SMEX04) and 2005 (SMEX05) were to develop and test algorithms for a vegetation water content data product using shortwave infrared reflectances. SMEX04 studied native vegetation in Arizona, USA, and Sonora, Mexico, while SMEX05 studied corn and soybean in Iowa, USA. The normalized difference infrared index (NDII) is defined...
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Retrieval of soil moisture content using the vertical and horizontal polarizations of multiple frequency bands on microwave sensors can provide an estimate of vegetation water content (VWC). Another approach is to use foliar-water indices based on the absorption at shortwave-infrared wavelengths by liquid water in the leaves to determine canopy water content, which is then related to VWC. An example of these indices is the normalized difference infrared index (NDII), which was found to be linearly related t...
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Retrieval of soil moisture content from microwave sensors also returns an estimate of vegetation water content. Remotely sensed indices from optical sensors can be used to estimate canopy water content. For corn and soybean in central Iowa, there are allometric relationships between canopy water content and vegetation water content. The Normalized Difference Infrared Index from MODIS was used to estimate vegetation water content. We compared independent estimates of vegetation water content from WindSat and...
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The soil water characteristic curve (SWCC) reflects fundamental drainage properties of partially saturated soils by revealing the relation between soil suction and water content. Although during the past decades, various experimental methods have been proposed for obtaining the SWCC, these approaches are generally time consuming, expensive and highly dependent on operator skills. One solution to this has been sought through various empirical or physico-empirical formulations that link the SWCC to common soi...
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E. R. Hunt Jr., M. T. Yılmaz, and T. J. Jackson, “Remote sensing of canopy water content during SMEX′04 and SMEX′05 using shortwave-infrared reflectances,” 2008, vol. 2, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/35852.