Detection of changes in leaf water content using Near- and Middle-Infrared reflectances☆

Hunt, E. Raymond; Rock, B. N.

doi:10.1016/0034-4257(89)90046-1

Cited by 1,010 publications

(527 citation statements)

References 30 publications

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“…Ceccato et al (2001) performed a sensitivity analysis of the Moisture Stress Index (MSI) (Hunt & Rock, 1989) using PROSPECT. The variation for all the input variables was taken from the LOPEX dataset of actual leaf measurements (Hosgood et al, 1994), and a log-normal distribution is allocated to EWT.…”

Section: Sampling #3mentioning

confidence: 99%

Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative transfer modeling

Féret¹,

François²,

Gitelson³

et al. 2011

Remote Sensing of Environment

280

162

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Section: Sampling #3mentioning

confidence: 99%

Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative transfer modeling

Féret¹,

François²,

Gitelson³

et al. 2011

Remote Sensing of Environment

280

162

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“…2). Because the range of leaf EWT between completely hydrated water-stressed leaves is less than 0.05 mm, it is unlikely that the overall regression would be useful for detecting the onset of drought stress [6]. Since canopy EWT equals the product of leaf EWT and LAI by definition, the standard error of the y estimate of 0.094 mm is also equivalent to ± 0.47 m 2 m -2 LAI.…”

Section: Resultsmentioning

confidence: 99%

“…Reflectances at 1650 nm wavelength have been used to detect changes of leaf and canopy water content [6,7]. Leaf and canopy water contents are frequently expressed in terms of water volume per leaf area and ground area, respectively, which is termed the equivalent water thickness (EWT).…”

Section: Introductionmentioning

confidence: 99%

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Remote Sensing of Canopy Water Content During SMEX'04 and SMEX'05 Using Shortwave-Infrared Reflectances

Hunt

Yılmaz

Jackson

2008

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium

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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.

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“…It is a reflectance measurement that is sensitive to increasing leaf water content, particularly as an indicator of low leaf water content (Ceccato et al, 2001;Hunt and Rock, 1989). As the leaf water content in vegetation increases, the strength of absorption of Middle-IR wavelengths increases; conversely, absorption of Near-IR wavelengths is largely unaffected by changing water content so serves as a reference.…”

Section: Table 3: Change Matrix Showing the Classes Used To Identitymentioning

confidence: 99%

Community-based groundwater and ecosystem restoration in semi-arid north Rajasthan (3): Evidence from remote sensing

2016

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Community-based measures recharging groundwater in semi-arid India has historically underpinned rural socio-ecological resilience, though are declining through technological, policy and other changes. Nevertheless, exemplars of community action are achieving catchment regeneration, including in Alwar District (Rajasthan) since the mid-1980s. This study analysed satellite remote sensing (RS) data to detect trends in groundwater and linked ecosystem services. Data from Landsat satellite missions offered a long time series and free access, though data gaps in the LandSat archive prior to 1997 limited time series analysis. ISODATA (Iterative Self Organising Data Analysis Technique) was used to analyse land cover trends, detecting increasing vegetation cover but not river rejuvenation due to limited spatial and spectral resolution. Analyses of NDVI (Normalised Difference Vegetation Index) and MSI (Moisture Stress Index) were used to assess change in vegetation cover, vigour and moisture stress over time. Analytical outputs were equivocal, although inter-annual fluctuations were observed to follow antecedent rainfall as vegetation responded to rising soil moisture and groundwater. Despite these equivocal conclusions, the research strongly suggests that analysis of RS data with improved resolution can provide surrogate indicators of change in groundwater and associated ecosystem services, supporting formulation of flexible policies incorporating local action to regenerate socio-ecological systems.

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Detection of changes in leaf water content using Near- and Middle-Infrared reflectances☆

Cited by 1,010 publications

References 30 publications

Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative transfer modeling

Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative transfer modeling

Remote Sensing of Canopy Water Content During SMEX'04 and SMEX'05 Using Shortwave-Infrared Reflectances

Community-based groundwater and ecosystem restoration in semi-arid north Rajasthan (3): Evidence from remote sensing

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