Search results for "L-band"

showing 10 items of 20 documents

Retrieval of Forest Water Potential from L-Band Vegetation Optical Depth

2021

A retrieval methodology for forest water potential from ground-based L-band radiometry is proposed. It contains the estimation of the gravimetric and the relative water content of a forest stand and tests in situ- and model-based functions to transform these estimates into forest water potential. The retrieval is based on vegetation optical depth data from a tower-based experiment of the SMAPVEX 19–21 campaign for the period from April to October 2019 at Harvard Forest, MA, USA. In addition, comparison and validation with in situ measurements on leaf and xylem water potential as well as on leaf wetness and complex permittivity are foreseen to understand limitations and potentials of the pro…

L bandRadiometerXylemradiometryVegetationL-bandFootprintharvard forestforestvegetation moistureEnvironmental scienceRadiometryVegetation optical depthground-basedwater potentialWater contentLeaf wetnessRemote sensing2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
researchProduct

Analyzing the impact of using the SRP (Simplified roughness parameterization) method on soil moisture retrieval over different regions of the globe

2015

International audience; This paper focuses on a new approach to account for soil roughness effects in the retrieval of soil moisture (SM) at L-band in the framework of the SMOS (Soil Moisture and Ocean Salinity) mission: the Simplified Roughness Parameterization (SRP). While the classical retrieval approach considers SM and τ nad (vegetation optical depth) as retrieved parameters, this approach is based on the retrieval of SM and the TR parameter combining τ nad and soil roughness (TR τ nad + Hr /2). Different roughness parameterizations were tested to find the best correlation (R), bias and unbiased RMSE (ubRMSE) when comparing homogeneous retrievals of SM and in situ SM measurements carri…

L bandVegetation optical depth010504 meteorology & atmospheric sciencesMean squared errorvegetation mapping0211 other engineering and technologiesSampling (statistics)[SDU.STU]Sciences of the Universe [physics]/Earth SciencesSoil science02 engineering and technologySurface finish01 natural sciencesL-bandHomogeneousEnvironmental sciencesoil measurementsmicrowave radiometrysoil moistureWater contentSoil roughness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingmathematical model021101 geological & geomatics engineering0105 earth and related environmental sciences
researchProduct

Time-variations of zeroth-order vegetation absorption and scattering at L-band

2021

Abstract Surface soil moisture and vegetation optical depth (VOD), as an indicator of vegetation wet biomass, from passive microwave remote sensing have been increasingly applied in global ecology and climate research. Both soil moisture and VOD are retrieved from satellite brightness temperature measurements assuming a zeroth order radiative transfer model, commonly known as the tau-omega model. In this model the emission of a vegetated surface is dependent on soil moisture, vegetation absorption and vegetation scattering. Vegetation scattering is normally represented by the single scattering albedo, ω, and is commonly assumed to be a time-invariant calibration parameter to achieve high ac…

LidarScatteringSingle-scattering albedoAttenuationeffective scattering albedoSoil ScienceGeologySoil scienceContext (language use)SMAPradiometryVegetationvegetation optical depthICESat-2L-bandAtmospheric radiative transfer codesBrightness temperaturerelative canopy scatteringEnvironmental scienceComputers in Earth SciencesAbsorption (electromagnetic radiation)relative canopy absorptionRemote sensingRemote Sensing of Environment
researchProduct

The SMOS mediterranean ecosystem L-band characterisation experiment (MELBEX) over natural shrubs

2010

10 páginas, 5 figuras, 7 tablas.

Mediterranean climate[SPI.OTHER]Engineering Sciences [physics]/Other010504 meteorology & atmospheric sciencesBiomeved/biology.organism_classification_rank.speciesMISSION SMOSMicrowave radiometry0211 other engineering and technologiesRock fractionSoil Science02 engineering and technologyL-MEB MODEL7. Clean energy01 natural sciencesShrubMICROWAVE RADIOMETRY14. Life underwaterComputers in Earth SciencesWater contentOptical depthComputingMilieux_MISCELLANEOUS021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRadiometerved/biologyBiosphereGeologyVegetation15. Life on landL-bandL-MEB13. Climate actionSOIL MOISTUREEnvironmental scienceSoil moistureROCK FRACTION[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingSMOSL-BAND
researchProduct

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
researchProduct

Assessment and inter-comparison of recently developed/reprocessed microwave satellite soil moisture products using ISMN ground-based measurements

2019

Soil moisture (SM) is a key state variable in understanding the climate system through its control on the land surface energy, water budget partitioning, and the carbon cycle. Monitoring SM at regional scale has become possible thanks to microwave remote sensing. In the past two decades, several satellites were launched carrying on board either radiometer (passive) or radar (active) or both sensors in different frequency bands with various spatial and temporal resolutions. Soil moisture algorithms are in rapid development and their improvements/revisions are ongoing. The latest SM retrieval products and versions of products that have been recently released are not yet, to our knowledge, com…

TechnologyPassive microwave remote sensing010504 meteorology & atmospheric sciences0208 environmental biotechnologyActive microwave remote sensingReview02 engineering and technology01 natural sciences7. Clean energylaw.inventionRemote SensinglawRadarEvaluationComputingMilieux_MISCELLANEOUSevaluationGeologypassive microwave remote sensingDATA SETSLife Sciences & Biomedicineactive microwave remote sensingSMOSLAND SURFACESreviewSoil ScienceClimate changeEnvironmental Sciences & EcologyLand coverVALIDATIONRETRIEVALSInternational soil moisture networkComputers in Earth SciencesImaging Science & Photographic Technology[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment0105 earth and related environmental sciencesRemote sensingScience & TechnologyRadiometerAMSR-ESMAPScatterometerinternational soil moisture network020801 environmental engineeringCLIMATEASCAT13. Climate actionSoil waterEnvironmental scienceSpatial variabilitySatelliteSoil moisturesoil moistureEnvironmental SciencesL-BANDRemote Sensing of Environment
researchProduct

A combined optical-microwave method to retrieve soil moisture over vegetated areas

2011

A simple approach for correcting for the effect of vegetation in the estimation of the surface soil moisture (wS) from L-band passive microwave observations is presented in this study. The approach is based on semi-empirical relationships between soil moisture and the polarized reflectivity including the effect of the vegetation optical depth which is parameterized as a function of the normalized vegetation difference index (NDVI). The method was tested against in situ measurements collected over a grass site from 2004 to 2007 (SMOSREX experiment). Two polarizations (horizontal/vertical) and five incidence angles (20◦, 30◦, 40◦, 50◦, and 60◦) were considered in the analysis. The best wS est…

Vegetation optical depthL band010504 meteorology & atmospheric sciencesNDVItélédétection0211 other engineering and technologiesSoil science02 engineering and technologyMicrowave methodsurface temperature01 natural sciencesNormalized Difference Vegetation Index[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsNDVI;LAI;LEAF AREA INDEX;SURFACE TEMPERATURE;SOIL MOISTURE;L-BAND medicineTraitement du signal et de l'imagenormalized vegetation difference index (NDVI)Electrical and Electronic EngineeringWater contentComputingMilieux_MISCELLANEOUS021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingSignal and Image processingsurface temperature.soil moisture (SM)Enhanced vegetation index15. Life on landLAIL-bandSOIL MOISTUREGeneral Earth and Planetary SciencesEnvironmental sciencemicrowave radiometrymedicine.symptomLEAF AREA INDEXVegetation (pathology)[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingMicrowave
researchProduct

CAROLS: A New Airborne L-Band Radiometer for Ocean Surface and Land Observations

2011

The "Cooperative Airborne Radiometer for Ocean and Land Studies" (CAROLS) L-Band radiometer was designed and built as a copy of the EMIRAD II radiometer constructed by the Technical University of Denmark team. It is a fully polarimetric and direct sampling correlation radiometer. It is installed on board a dedicated French ATR42 research aircraft, in conjunction with other airborne instruments (C-Band scatterometer--STORM, the GOLD-RTR GPS system, the infrared CIMEL radiometer and a visible wavelength camera). Following initial laboratory qualifications, three airborne campaigns involving 21 flights were carried out over South West France, the Valencia site and the Bay of Biscay (Atlantic O…

analyse de donnéesL band010504 meteorology & atmospheric sciencesMeteorologytélédétection0211 other engineering and technologiesPolarimetry02 engineering and technologylcsh:Chemical technology01 natural sciencesBiochemistry RADIOMETER;CAROLS;L-BAND;MISSION SMOS;OCEAN SALINITY;SOIL MOISTURE; MESURE AEROPORTEECAROLSArticleAnalytical Chemistry[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/Ecosystemslcsh:TP1-1185ocean salinityElectrical and Electronic EngineeringInstrumentation021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRadiometerbusiness.industryConjunction (astronomy)Ocean salinityL bandradiometerL band radiometerAtomic and Molecular Physics and OpticsOn boardL-bandAutre (Sciences de l'ingénieur)Global Positioning SystemEnvironmental scienceSatelliteRadiometerSoil moisturesoil moisturebusinessSMOS
researchProduct

A new calibration of the effective scattering albedo and soil roughness parameters in the SMOS SM retrieval algorithm

2017

Abstract This study focuses on the calibration of the effective vegetation scattering albedo (ω) and surface soil roughness parameters (H R , and N Rp , p = H,V) in the Soil Moisture (SM) retrieval from L-band passive microwave observations using the L-band Microwave Emission of the Biosphere (L-MEB) model. In the current Soil Moisture and Ocean Salinity (SMOS) Level 2 (L2), v620, and Level 3 (L3), v300, SM retrieval algorithms, low vegetated areas are parameterized by ω = 0 and H R  = 0.1, whereas values of ω = 0.06 − 0.08 and H R  = 0.3 are used for forests. Several parameterizations of the vegetation and soil roughness parameters (ω, H R and N Rp , p = H,V) were tested in this study, tre…

biosphèreL band010504 meteorology & atmospheric sciences[SDV]Life Sciences [q-bio]0211 other engineering and technologieseffective scattering albedo02 engineering and technologyLand coverManagement Monitoring Policy and Law01 natural sciencestélédétection microondesCalibrationhumidité du sol14. Life underwaterComputers in Earth SciencesWater content021101 geological & geomatics engineering0105 earth and related environmental sciencesEarth-Surface ProcessesRemote sensingrugosité de surfaceGlobal and Planetary Changesalinité des océansScatteringVegetation15. Life on landAlbedoL-bandGeographysoil roughnessalbédosoil moistureSoil roughnessSMOSrugosité du sol
researchProduct

SMOS-IC: An Alternative SMOS Soil Moisture and Vegetation Optical Depth Product

2017

© 2017 by the authors. The main goal of the Soil Moisture and Ocean Salinity (SMOS) mission over land surfaces is the production of global maps of soil moisture (SM) and vegetation optical depth (τ) based on multi-angular brightness temperature (TB) measurements at L-band. The operational SMOS Level 2 and Level 3 soil moisture algorithms account for different surface effects, such as vegetation opacity and soil roughness at 4 km resolution, in order to produce global retrievals of SM and τ. In this study, we present an alternative SMOS product that was developed by INRA (Institut National de la Recherche Agronomique) and CESBIO (Centre d'Etudes Spatiales de la BIOsphère). One of the main go…

environmental_sciencesL bandVegetation optical depth010504 meteorology & atmospheric sciencesNDVI[SDV]Life Sciences [q-bio]Science0211 other engineering and technologiesWeather forecasting0207 environmental engineeringSoil science02 engineering and technologycomputer.software_genre01 natural sciencesSMOS; L-band; Level 3; ECMWF; SMOS-IC; soil moisture; vegetation optical depth; MODIS; NDVINormalized Difference Vegetation IndexECMWFvegetation optical depthtempératurehumidité du solluminosity14. Life underwater020701 environmental engineeringWater content021101 geological & geomatics engineeringRemote sensing0105 earth and related environmental sciencessalinité des océansQBiosphereluminositéVegetationAlbedoL-bandSpectroradiometerMODIS13. Climate actionBrightness temperatureProduct (mathematics)General Earth and Planetary SciencesEnvironmental sciencesoil moistureSMOS;L-band;level 3;ECMWF;SMOS-IC;soil moisture;vegetation optical depth;MODIS;NDVISMOS-ICcomputerLevel 3SMOSRemote Sensing
researchProduct