Multifrequency passive microwave observations of soil moisture in an arid rangeland environment

Jackson, Thomas J.; Schmugge, Thomas J.; Parry, R. H. G.; Kustas, William P.; Ritchie, Jerry C.; Shutko, A. M.; Haldin, A.; Reutov, E.; Новичихин, Е. П.; Liberman, B.; Shiue, J. C.; Davis, M. R.; Goodrich, David C.; Amer, Sand; Bach, Leslie

doi:10.1080/01431169208904059

Cited by 18 publications

(5 citation statements)

References 2 publications

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“…Remote sensing methods are prominent in this category. Remote sensing methods include passive microwave radiometers [ Schmugge et al , 1992; Sellers et al , 1992; Jackson , 1993; Jackson et al , 1992, 1993, 1995, 1999; Laymon et al , 1999; Schmugge et al , 2002; Narayan et al , 2004; Crosson et al , 2005]; synthetic aperture radars [ Ulaby et al , 1996; Altese et al , 1996; Verhoest et al , 1998, 2007; Biftu and Gan , 1999; Satalino et al , 2002; Western et al , 2004], scatterometers [ Wagner et al , 2003; Ceballos et al , 2005; Verstraeten et al , 2006; Blumberg et al , 2006], and thermal methods [ Pratt and Ellyett , 1979; Price , 1980; Gillies and Carlson , 1995; Verstraeten et al , 2006; Katra et al , 2006, 2007; Sugiura et al , 2007]. These methods are either ground based or operated from airborne or spaceborne platforms.…”

Section: Methods For Measuring and Modeling Soil Moisturementioning

confidence: 99%

On the value of soil moisture measurements in vadose zone hydrology: A review

Vereecken

Huisman

Bogena

et al. 2008

Water Resources Research

639

475

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[1] We explore and review the value of soil moisture measurements in vadose zone hydrology with a focus on the field and catchment scales. This review is motivated by the increasing ability to measure soil moisture with unprecedented spatial and temporal resolution across scales. We highlight and review the state of the art in using soil moisture measurements for (1) estimation of soil hydraulic properties, (2) quantification of water and energy fluxes, and (3) retrieval of spatial and temporal dynamics of soil moisture profiles. We argue for the urgent need to have access to field monitoring sites and databases that include detailed information about variability of hydrological fluxes and parameters, including their upscaled values. In addition, improved data assimilation methods are needed that fully exploit the information contained in soil moisture data. The development of novel upscaling methods for predicting effective moisture fluxes and disaggregation schemes toward integrating large-scale soil moisture measurements in hydrological models will increase the value of soil moisture measurements. Finally, we recognize a need to develop strategies that combine hydrogeophysical measurement techniques with remote sensing methods.

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Section: Methods For Measuring and Modeling Soil Moisturementioning

confidence: 99%

On the value of soil moisture measurements in vadose zone hydrology: A review

Vereecken

Huisman

Bogena

et al. 2008

Water Resources Research

639

475

View full text Add to dashboard Cite

show abstract

“…Inter-calibration of the radiometers was accomplished by measuring the L and E of a 99% Spectralon white polytetrafluoroethylene (PTFE) reflectance panel (Labsphere, Inc., North Sutton, NH, USA) (Rundquist et al, 2004). To mitigate the impact of solar elevation on radiometer inter-calibration, the anisotropic reflectance from the calibration target was corrected in accordance with Jackson et al (1992). Data were collected with the sensors configured to take 15 simultaneous L and E measurements, which were internally averaged and stored as a single data file.…”

Section: Top Of Canopy Reflectance (ρ)mentioning

confidence: 99%

Long-term monitoring of biophysical characteristics of tidal wetlands in the northern Gulf of Mexico — A methodological approach using MODIS

Ghosh

Mishra

Gitelson

2016

Remote Sensing of Environment

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Accurate and efficient monitoring is critically important for the effective restoration and conservation of threatened tidal wetlands in the Gulf Coast. The high carbon sequestration potential, habitat for important wildlife and fish, and numerous ecosystem services make these tidal wetlands highly valuable both ecologically and economically to Gulf Coast communities. Our study developed a new methodological approach for mapping biophysical health of coastal tidal wetland habitats in terms of green leaf area index (GLAI), canopy level chlorophyll content (CHL), vegetation fraction (VF), and above ground green biomass (GBM). We measured these biophysical characteristics in tidal wetlands of the northern Gulf of Mexico using a combination of ground data collected from field surveys during the growing seasons of 2010 and 2011 and NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) 250m and 500m images. Additionally, we compared and evaluated the performances of both in situ proximal and satellite remote sensing measurements in terms of their potential for mapping the wetland biophysical characteristics. MODIS-based models proved superior at the landscape level compared to models developed from in situ proximal sensing, as species level signals seemed to be diluted at coarser spatial scales. We selected Wide Dynamic Range Vegetation Index (WDRVI) for MODIS 250m and Visible Atmospheric Resistant Index (VARI) for MODIS 500m to map biophysical characteristics of tidal wetlands. Time-series composites and phenological information derived using the MODIS based models captured the impact of the selected disturbances in the last decade on the ecological and physiological status of the tidal wetland habitats in the Gulf Coast. This is the first study to employ MODIS data to analyze the biophysical characteristics of tidal wetlands in the Gulf Coast, which, in turn, has the potential to improve our ability to predict their productivity and carbon sequestration potential. These techniques could also be used to assess the success of previous and ongoing tidal wetland restoration projects, and evaluate the productivity of marshes under threat from developmental activity, sea level rise, and industrial pollution.

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“…Microwave systems can be utilized to estimate the soil moisture. For example, Jackson et al (1992) used a 21-cm passive microwave instrument to retrieve soil moisture over a semiarid area. Active systems, such as SAR (synthetic aperture radar), give better results in soil moisture retrieval, for example, Hirsave et al (1996).…”

Section: Introductionmentioning

confidence: 99%

Urban Heat Island Modeling in Conjunction with Satellite-Derived Surface/Soil Parameters

Hafner¹,

Kidder²

1999

J. Appl. Meteor.

124

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Although it has been studied for over 160 years, the urban heat island (UHI) effect is still not completely understood, yet it is increasingly important. The main purpose of this work is to improve UHI modeling by using AVHRR (Advanced Very High Resolution Radiometer) satellite data to retrieve the surface parameters (albedo, as well as soil thermal and moisture properties). In this study, a hydrostatic three-dimensional mesoscale model was used to perform the numerical modeling. The Carlson technique was applied to retrieve the thermal inertia and moisture availability using the thermal AVHRR channels 4 and 5. The net urban effect was determined as the difference between urban and nonurban simulations, in which urban parameters were replaced by rural parameters. Two winter days were each used for two numerical simulations: a control and an urban-to-rural replacement run. Moisture availability values on the less windy day showed generally a south to north gradient downwind of the city and urban values less than rural values (the urban dry island day). Moisture availability was higher on the windy day, with uniform values in the rural and urban areas (uniform soil moisture day). The only exceptions were variations in the rural hills north of the city and the low rural values under the polluted urban plume downwind of the city. While thermal inertia values showed no urban-rural differences on the uniform soil moisture day, they exhibited larger values over Atlanta than in surrounding rural area on the (less moist) dry island day. Two puzzling facts exist in the data: 1) lack of a north-south thermal inertia gradient on the dry soil day to correspond to its abovementioned moisture availability gradient and 2) rural thermal inertia values do not change between both days in spite of their large difference in soil moisture. The observed lack of corresponding urban change is expected, as its thermal inertia values depend more on urban building materials than on moisture of soil. In both cases both the 2-m and surface skin UHIs showed positive values at night and negative values (an urban cool island, UCI) during the day. The larger nighttime 2-m UHI was on the dry day (0.8Њ vs 0.6ЊC), while the larger daytime 2-m UCI was on the moist soil day (Ϫ0.3Њ vs Ϫ0.5ЊC). Note that the surface differences were almost always greater than the 2-m differences. These day-night differences imply a rural thermal inertia lower than its urban values on both days, which is in conflict with the observations on the wet uniform soil moisture day. On the uniform thermal inertia day (wet day), both the UHI and UCI amplitudes should be less than on the other day, but this is not the case. A possible explanation for both of these conflicts is the improper influence of the urban plume on this day on lowering the thermal inertia and moisture availability values used in the replacement urban simulation.

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Multifrequency passive microwave observations of soil moisture in an arid rangeland environment

Cited by 18 publications

References 2 publications

On the value of soil moisture measurements in vadose zone hydrology: A review

On the value of soil moisture measurements in vadose zone hydrology: A review

Long-term monitoring of biophysical characteristics of tidal wetlands in the northern Gulf of Mexico — A methodological approach using MODIS

Urban Heat Island Modeling in Conjunction with Satellite-Derived Surface/Soil Parameters

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