Search results for "passive microwaves"

showing 3 items of 3 documents

Estimation of volume fraction and gravimetric moisture of winter wheat based on microwave attenuation: a field scale study

2019

A considerable amount of water can be stored in vegetation, especially in regions experiencing large quantities of precipitation (mid-latitudes). In this context, an accurate estimate of the actual water status of the vegetation could lead to an improved understanding of the effect of plant water on the water budget. In this study, we developed and validated a novel approach to retrieve the vegetation volume fraction (δ) (i.e., volume percentage of solid plant material of a canopy in air) and the gravimetric vegetation water content (m g ) (i.e., amount of water per wet biomass) for winter wheat. The estimation was based on the attenuation of L-band microwave measurements through vegetation…

Canopy010504 meteorology & atmospheric sciencesMoistureAttenuation0211 other engineering and technologiesplant moistureContext (language use)Soil scienceVegetation water Content02 engineering and technologyVegetation01 natural sciencesSelhausenJülichvolume fractionVolume fractionGravimetric analysisEnvironmental sciencepassive microwavesPrecipitationRadiometerELBARA021101 geological & geomatics engineering0105 earth and related environmental sciencesagriculture
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The CoSMOS L-band experiment in Southeast Australia

2007

The CoSMOS (Campaign for validating the Operation of the Soil Moisture and Ocean Salinity mission) campaign was conducted during November of 2005 in the Goulburn River Catchment, in SE Australia. The main objective of CoSMOS was to obtain a series of L-band measurements from the air in order to validate the L-band emission model that will be used by the SMOS (Soil Moisture and Ocean Salinity) ground segment processor. In addition, the campaign was designed to investigate open questions including the Sun-glint effect over land, the application of polarimetric measurements over land, and to clarify the importance of dew and interception for soil moisture retrievals. This paper summarises the …

Radiometer010504 meteorology & atmospheric sciencesMeteorologyPASSIVE MICROWAVES[SDV]Life Sciences [q-bio]BRIGHTNESS TEMPERATURE0211 other engineering and technologiesL-BAND EMISSION MODEL02 engineering and technology15. Life on land01 natural sciencesSalinity13. Climate action[SDE]Environmental SciencesSOIL MOISTUREEnvironmental scienceRadiometryDewGround segmentInterceptionWater contentCosmosComputingMilieux_MISCELLANEOUS021101 geological & geomatics engineering0105 earth and related environmental sciences
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PHYSICS-based retrieval of scattering albedo and vegetation optical depth using multi-sensor data integration

2017

Vegetation optical depth and scattering albedo are crucial parameters within the widely used τ-ω model for passive microwave remote sensing of vegetation and soil. A multi-sensor data integration approach using ICESat lidar vegetation heights and SMAP radar as well as radiometer data enables a direct retrieval of the two parameters on a physics-derived basis. The crucial step within the retrieval methodology is the calculus of the vegetation scattering coefficient KS, where one exact and three approximated solutions are provided. It is shown that, when using the assumption of a randomly oriented volume, the backscatter measurements of the radar provide a sufficient first order estimate and …

010504 meteorology & atmospheric sciencesScattering albedo0208 environmental biotechnologyradiometry02 engineering and technologyretrieval methodologycomputer.software_genre01 natural scienceslaw.inventionlawremote sensing by radarRadaractive-passive microwavesPhysics::Atmospheric and Oceanic PhysicsIndexespassive microwave remote sensingRemote sensingremote sensing by laser beamGeographyLidaroptical radarcrucial parametersmedicine.symptomvegetation scattering coefficientData integrationBackscattervegetation mappingta1171τ-ω modelsoilPhysics::GeophysicsICESat lidar vegetation heightsvegetationmedicineVegetation optical depthbackscatter0105 earth and related environmental sciencesRemote sensingsensor fusionRadiometerScatteringnovel multisensor approachSMAPAlbedoMulti-sensor020801 environmental engineeringradiometer dataVegetation (pathology)multisensor data integration approachcomputerICESatalbedo
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