Remote Sensing of Root-Zone Soil Moisture Using I- and P-Band Signals of Opportunity: Instrument Validation Studies

Garrison, James L.; Kurum, Mehmet; Nold, B.; Piepmeier, J.R.; Vega, Manuel A.; Bindlish, Rajat; Pignotti, Garett

doi:10.1109/igarss.2018.8518772

Cited by 12 publications

(3 citation statements)

References 5 publications

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“…The root zone soil moisture is not directly accessible currently by remote sensing technologies. Some studies addressed through local radiometers the capacity of future P-Band mission from active or passive remote sensing to measure root zone soil moisture (Garrison et al 2018), but there is currently no operational satellite in this bandwidth. Still, root zone soil moisture can be indirectly quantified from remote sensing through vegetation stress condition (Swain et al 2013), TWS or the link between precipitation, surface and root zone soil moisture.…”

Section: Agricultural Droughts Of 2019 From L-band Radiometersmentioning

confidence: 99%

On the Use of Satellite Remote Sensing to Detect Floods and Droughts at Large Scales

et al. 2020

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Hydrological extremes, in particular floods and droughts, impact all regions across planet Earth. They are mainly controlled by the temporal evolution of key hydrological variables like precipitation, evaporation, soil moisture, groundwater storage, surface water storage and discharge. Precise knowledge of the spatial and temporal evolution of these variables at the scale of river basins is essential to better understand and forecast floods and droughts. In this article, we present recent advances on the capability of Earth observation (EO) satellites to provide global monitoring of floods and droughts. The local scale monitoring of these events which is traditionally done using high-resolution optical or SAR (synthetic aperture radar) EO and in situ data will not be addressed. We discuss the applications of moderate-to low-spatial-resolution space-based observations, e.g., satellite gravimetry (GRACE and GRACE-FO), passive microwaves (i.e. SMOS) and satellite altimetry (i.e. the JASON series and the Copernicus Sentinel missions), with supporting examples. We examine the benefits and drawbacks of integrating these EO datasets to better monitor and understand the processes at work and eventually to help in early warning and management of flood and drought events. Their main advantage is their large monitoring scale that provides a "big picture" or synoptic view of the event that cannot be achieved with often sparse in situ measurements. Finally, we present upcoming and future EO missions related to this topic including the SWOT mission. Keywords Floods • Droughts • Large scale • Terrestrial water storage • GRACE • SMOS • Satellite altimetry • SWOT Water Storage on the Continents: General RemarksFreshwater represents less than 3% of the total amount of water on Earth. On land, freshwater is stored in various reservoirs such as ice caps, snow, glaciers, groundwater, soil moisture (in the unsaturated soil and root zone, i.e. in the upper few metres of the soil (e.g., Hillel 1998)) and surface water bodies (rivers, lakes, man-made reservoirs, wetlands and inundated areas) (Fig. 1). These different storage compartments are in direct interactions with the atmosphere. For example, in the tropical Pacific, long-term droughts and floods are under the influence of the El Niño-Southern Oscillation (ENSO) events (e.g., Ward et al. 2014; Fok et al. 2018 and references therein).

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Section: Agricultural Droughts Of 2019 From L-band Radiometersmentioning

confidence: 99%

On the Use of Satellite Remote Sensing to Detect Floods and Droughts at Large Scales

et al. 2020

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“…Specifically, popular frequencies and sources include Orbcomm's private communication satellite system at I-band (137 MHz), the United States Navy's Mobile User Objective System at P-band (240-270 MHz and 360-380 MHz), GNSS systems (≈1575.42 MHz), and the XM satellite radio system at S-band (≈2338 MHz). Recent technology demonstrations and remote sensing experiments have successfully leveraged these signals to detect geophysicals parameters such as soil moisture (SM) and SWE [7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

“…Of particular interest to the area of RZSM remote sensing using SoOp-R is the multilayer module which allows for the modeling of arbitrary SM profiles. This module has been used in previous research for investigating the SoOp-R response to RZSM [12], but its underlying physics and methodology has not been introduced in the literature.…”

Section: Introductionmentioning

confidence: 99%

SCoBi Multilayer: A Signals of Opportunity Reflectometry Model for Multilayer Dielectric Reflections

et al. 2020

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A multilayer module is incorporated into the Signals of Opportunity (SoOp) Coherent Bistatic Scattering model (SCoBi) for determining the reflections and propagation of electric fields within a series of multilayer dielectric slabs. This module can be used in conjunction with other SCoBi components to simulate complex, bistatic simulation schemes that include features such as surface roughness, vegetation, antenna effects, and multilayer soil moisture interactions on reflected signals. This paper introduces the physics underlying the multilayer module and utilizes it to perform a simulation study of the response of SoOp-R measurements with respect to subsurface soil moisture parameters. For a frequency range of 100–2400 MHz, it is seen that the SoOp-R response to a single dielectric slab is mostly frequency insensitive; however, the SoOp-R response to multilayer dielectric slabs will vary between frequencies. The relationship between SoOp-R reflectivity and the contributing depth is visualized, and the results show that SoOp-R measurements can display sensitivity to soil moisture below the penetration depth. By simulation of simple soil moisture profiles with different wetting and drying gradients, the dielectric contrast between layers is shown to be the greatest contributing factor to subsurface soil moisture sensitivity. Overall, it is observed that different frequencies can sense different areas of a soil moisture profile, and this behavior can enable subsurface soil moisture data products from SoOp-R observations.

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Experimental Results of Snow and Soil Moisture Measurement from Non-Vegetated and Vegetated Sites Using P-Band Signals of Opportunity

Shah

Yueh

et al. 2019

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium

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Remote Sensing of Root-Zone Soil Moisture Using I- and P-Band Signals of Opportunity: Instrument Validation Studies

Cited by 12 publications

References 5 publications

On the Use of Satellite Remote Sensing to Detect Floods and Droughts at Large Scales

On the Use of Satellite Remote Sensing to Detect Floods and Droughts at Large Scales

SCoBi Multilayer: A Signals of Opportunity Reflectometry Model for Multilayer Dielectric Reflections

Experimental Results of Snow and Soil Moisture Measurement from Non-Vegetated and Vegetated Sites Using P-Band Signals of Opportunity

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