Initial results of land-reflected GPS bistatic radar measurements in SMEX02

Masters, Dallas

doi:10.1016/j.rse.2004.05.016

Cited by 171 publications

(126 citation statements)

References 34 publications

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“…The first one consists of looking at the reflected signal only, which is the simplest solution but also the one that provides the least information. Such experiments were made in 2002, using a slightly modified commercial GPS receiver airborne [91,97,98]. The reflected signals were obtained from a left-handed circularly polarized (LHCP) antenna at the bottom of the plane.…”

Section: Gnss-r For Soil Moisture Recoverymentioning

confidence: 99%

Soil Moisture & Snow Properties Determination with GNSS in Alpine Environments: Challenges, Status, and Perspectives

et al. 2013

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Moisture content in the soil and snow in the alpine environment is an important factor, not only for environmentally oriented research, but also for decision making in agriculture and hazard management. Current observation techniques quantifying soil moisture or characterizing a snow pack often require dedicated instrumentation that measures either at point scale or at very large (satellite pixel) scale. Given the heterogeneity of both snow cover and soil moisture in alpine terrain, observations of the spatial distribution of moisture and snow-cover are lacking at spatial scales relevant for alpine hydrometeorology. This paper provides an overview of the challenges and status of the determination of soil moisture and snow properties in alpine environments. Current measurement techniques and newly proposed ones, based on the reception of reflected Global Navigation Satellite Signals (i.e., GNSS Reflectometry or GNSS-R), or the use of laser scanning are reviewed, and the perspectives offered by these new techniques to fill the current gap in the instrumentation level are discussed. Some key enabling technologies OPEN ACCESSRemote Sens. 2013, 5 3517 including the availability of modernized GNSS signals and GNSS array beamforming techniques are also considered and discussed.

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Section: Gnss-r For Soil Moisture Recoverymentioning

confidence: 99%

Soil Moisture & Snow Properties Determination with GNSS in Alpine Environments: Challenges, Status, and Perspectives

et al. 2013

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“…On the other hand, the reflected power is used to determine the surface reflectivity and the scattering cross section (Masters et al, 2004).…”

Section: Description Of Observables Theoretical Basis and Retrieval mentioning

confidence: 99%

“…The dielectric constant is related to the soil composition and to its moisture content following empirical models or carefully calibrating the data (Masters et al, 2004).…”

Section: Description Of Observables Theoretical Basis and Retrieval mentioning

confidence: 99%

GNSS Signals: A Powerful Source for Atmosphere and Earth’s Surface Monitoring

Notarpietro¹,

Cucca²,

Bonafoni³

2012

Remote Sensing of Planet Earth

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“…In 2002, the National Aeronautics and Space Administration (NASA) developed a GPS-based sensor technology that operates by recording the GPS signal reflected from the surface of Earth [13] [14]. Such a system (modified GPS Delay Mapping Receiver-DMR) was used on unmanned aircrafts to accommodate soil moisture remote sensing [15], and were tested by NASA researchers at several different locations [13] [14].…”

Section: Introductionmentioning

confidence: 99%

“…Such a system (modified GPS Delay Mapping Receiver-DMR) was used on unmanned aircrafts to accommodate soil moisture remote sensing [15], and were tested by NASA researchers at several different locations [13] [14]. Since reflected GPS signals can interfere with direct signals while the GPS satellite ascends or descends at relatively low elevation angles [16], the DMR is programmed to utilize the highest elevation satellite in view, so that the average elevation angle is generally above sixty-five degrees [13].…”

Section: Introductionmentioning

confidence: 99%

Relationship of Soil Moisture and Reflected GPS Signal Strength

Privette¹,

Khalilian²,

Bridges³

et al. 2016

ARS

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Many agricultural fields across the country have a high degree of variability in soil type and water holding capacity that affects irrigation management. One way to overcome problems associated with the field variability for improving irrigation management is to utilize a site-specific irrigation system. This system applies water to match the needs of individual management zones within a field. A real-time continuous soil moisture measurement is essential for the success of site-specific irrigation systems. Recently the National Aeronautics and Space Administration (NASA) developed sensor technology that records the global positioning system (GPS) signal reflected from the surface of Earth, which estimates the dielectric properties of soil and can be used to estimate soil moisture contents. The overall objective of this study was to determine the feasibility of utilizing GPS-based technology developed by NASA for soil moisture measurements and to determine the influence of soil type, soil compaction, and ground cover on the measurements. The results showed strong positive correlations between soil moisture and reflected signals. Other factors (soil compaction and soil type), were not significantly related to reflectivity and did not significantly change the relationship between reflectivity and soil moisture contents. In addition, ground cover (rye crop) did not significantly reduce reflectivity. Therefore, this system could be used as a real-time and continuous nonintrusive soil moisture sensor for site-specific irrigation scheduling and watershed management.

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Initial results of land-reflected GPS bistatic radar measurements in SMEX02

Cited by 171 publications

References 34 publications

Soil Moisture & Snow Properties Determination with GNSS in Alpine Environments: Challenges, Status, and Perspectives

Soil Moisture & Snow Properties Determination with GNSS in Alpine Environments: Challenges, Status, and Perspectives

GNSS Signals: A Powerful Source for Atmosphere and Earth’s Surface Monitoring

Relationship of Soil Moisture and Reflected GPS Signal Strength

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