Optical‐microwave synergy for estimating surface sensible heat flux over a semi‐arid rangeland

Troufleau, D.; Vidal, Alain; Beaudoin, A.; Moran, M. Susan; Weltz, Mark A.; Goodrich, David C.; Washburn, James S.; Rahman, Azbina

doi:10.1080/02757259709532334

Cited by 12 publications

(11 citation statements)

References 21 publications

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“…Therefore, a LST deviation from air temperature, defined as LST -air temperature, was expected to have an inverse relationship with soil moisture and evapotranspiration, but a positive relationship with moisture deficit. LST deviation is an adequate indicator of surface moisture conditions because it is believed to have a linear inverse relationship with vapor pressure deficit of air, and a positive relationship with sensible heat flux, which increases as water is restricted (Choudhury, 1989;Ehrler, 1973;Idso, Jackson, Ehrler, & Mitchell, 1977;Idso, Jackson, Pinter, Reginato, & Hatfield, 1981;Inoue & Moran, 1997;Jackson, Reginato, & Idso, 1977;Lhomme & Monteny, 1993;Moran & Jackson, 1991;Moran, Humes, & Pinter, 1997;Moran et al, 1996;Troufleau et al, 1997;Yang, Zhou, & Melville, 1997).…”

Section: Study Areamentioning

confidence: 97%

Impacts of hydrologic soil properties on drought detection with MODIS thermal data

Park

Feddema

Egbert

2004

Remote Sensing of Environment

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Section: Study Areamentioning

confidence: 97%

Impacts of hydrologic soil properties on drought detection with MODIS thermal data

Park

Feddema

Egbert

2004

Remote Sensing of Environment

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“…In addition, Landsat 5 is expected to be out of service in 2008, and chances of having a thermal sensor on future Landsat satellites are presently low. However, there is a possibility to use microwave data to estimate surface fluxes through computation of soil and canopy temperatures (Trofleau et al 1997). Numerous field studies with microwave data Diak et al 1995) indicate that low frequency (*5 GHz) microwave backscatter may be related to (T s -T a ) while high frequency (*15 GHz) microwave backscatter may be related to the NDVI.…”

Section: Spatial and Temporal Resolutionmentioning

confidence: 99%

ET mapping for agricultural water management: present status and challenges

et al. 2007

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Evapotranspiration (ET) is an essential component of the water balance. Remote sensing based agrometeorological models are presently most suited for estimating crop water use at both field and regional scales. Numerous ET algorithms have been developed to make use of remote sensing data acquired by sensors on airborne and satellite platforms. In this paper, a literature review was done to evaluate numerous commonly used remote sensing based algorithms for their ability to estimate regional ET accurately. The reported estimation accuracy varied from 67 to 97% for daily ET and above 94% for seasonal ET indicating that they have the potential to estimate regional ET accurately. However, there are opportunities to further improving these models for accurately estimating all energy balance components. The spatial and temporal remote sensing data from the existing set of earth observing satellite platforms are not sufficient enough to be used in the estimation of spatially distributed ET for on-farm irrigation management purposes, especially at a field scale level (*10 to 200 ha). This will be constrained further if the thermal sensors on future Landsat satellites are abandoned. However, research opportunities exist to improve the spatial and temporal resolution of ET by developing algorithms to increase the spatial resolution of reflectance and surface temperature data derived from Landsat/ ASTER/MODIS images using same/other-sensor high resolution multi-spectral images.

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“…These models are to some extent based on the extensive work done on extracting hydrological relevant parameters from EO data, which is not covered by this review. At the present time there is increasing awareness, that should the potential in EO data be fully exploited, a combination of sensors is necessary, for instance in the study reported by Yin and Williams (1997) or by Troufleau et al, (1997).…”

Section: Background and State Of The Artmentioning

confidence: 97%

“…The overall idea is to transform the NDVI values for each pixel, using a linear transformation of the fraction of photosynthetically active radiation absorbed by a canopy (fAPAR) as described by Troufleau et al (1997) and then perform a conversion of fAPAR to LAI using the relation established by Myneni and Williams (1994):…”

Section: Leaf Area Indexmentioning

confidence: 99%

Use of remote sensing data in distributed hydrological models: applications in the Senegal River basin

Sandholt

Andersen

Dybkjær

et al. 1999

Geografisk Tidsskrift-Danish Journal of Geography

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Research activities aiming at integrating Earth Observation data in large scale distributed hydrological modelling will be presented. The focus will be on the Senegal River basin in West Africa where satellite data from various sensors and from different parts of the electromagnetic spectrum will be used in combination with a distributed model specifically adapted to utilize Earth Observation data. The work represents the initial results obtained by the ongoing INTEO project. The outcome and experiences gained so far are primarily related to low resolution optical data from the NOAA-AVHRR sensor, and results related to land cover classification, vegetation and soil moisture will be presented.By the end of 1996 the Danish Research Council had launched a four-year research programme in Earth Observation (EO) with the long-term purpose of complementing and developing ongoing earth observation activities in Denmark. INTEO (INTegration of Earth Observation data in agrohydrological models) was one of the four projects that obtained funding through this initiative. This multi disciplinary project has the ultimate objective to integrate EO data and hydrological models with the perspective of improving water resource management. Research within INTEO focuses on the use of satellite remote sensing data combined with large scale hydrological modelling, in particular the Senegal River basin in West Africa, (Figure 1). This paper presents the research done within INTEO, with focus on the general approach pursued for combining

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Optical‐microwave synergy for estimating surface sensible heat flux over a semi‐arid rangeland

Cited by 12 publications

References 21 publications

Impacts of hydrologic soil properties on drought detection with MODIS thermal data

Impacts of hydrologic soil properties on drought detection with MODIS thermal data

ET mapping for agricultural water management: present status and challenges

Use of remote sensing data in distributed hydrological models: applications in the Senegal River basin

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