Search results for "Remote Sensing"

showing 10 items of 1262 documents

Evaluating the impact of roughness in soil moisture and optical thickness retrievals over the VAS area

2014

International audience

Valencia Anchor Station[SDE.MCG]Environmental Sciences/Global ChangesL - MEB modelSoil scienceSurface finishELBARA - IIsoil roughnessEnvironmental sciencesoil moistureWater content[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingComputingMilieux_MISCELLANEOUSRemote sensingSMOS
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Retrieval of vegetation height in rice fields using polarimetric SAR interferometry with TanDEM-X data

2017

This work presents for the first time a demonstration with satellite data of polarimetric SAR interferometry (PolInSAR) applied to the retrieval of vegetation height in rice fields. Three series of dual-pol interferometric SAR data acquired with large baselines (2–3 km) by the TanDEM-X system during its science phase (April–September 2015) are exploited. A novel inversion algorithm especially suited for rice fields cultivated in flooded soil is proposed and evaluated. The validation is carried out over three test sites located in geographically different areas: Sevilla (SW Spain), Valencia (E Spain), and Ipsala (W Turkey), in which different rice types are present. Results are obtained duri…

Vegetation height010504 meteorology & atmospheric sciencesMean squared error0211 other engineering and technologiesSoil Science02 engineering and technology01 natural sciencesExternal referenceSatellite imageryComputers in Earth Sciences021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing2. Zero hungerVegetation heightGrowth cycleAgriculturePolSARGeologySynthetic aperture radar (SAR)Polarimetric sarInterferometryInterferometryTeoría de la Señal y ComunicacionesEnvironmental sciencePaddy fieldRiceTanDEM-XPolInSARRemote Sensing of Environment
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The FLuorescence EXplorer Mission Concept-ESA's Earth Explorer 8

2017

In November 2015, the FLuorescence EXplorer (FLEX) was selected as the eighth Earth Explorer mission of the European Space Agency. The tandem mission concept will provide measurements at a spectral and spatial resolution enabling the retrieval and interpretation of the full chlorophyll fluorescence spectrum emitted by the terrestrial vegetation. This paper provides a mission concept overview of the scientific goals, the key objectives related to fluorescence, and the requirements guaranteeing the fitness for purpose of the resulting scientific data set. We present the mission design at the time of selection, i.e., at the end of project phase Phase A/B1, as developed by two independent indus…

Vegetation mappingSpatial resolutionTemperature measurement010504 meteorology & atmospheric sciencesSpectrometerPayload0211 other engineering and technologies02 engineering and technologyCollocation (remote sensing)01 natural sciencesFluorescenceFluorescenceWavelength measurementPhotonicsGeneral Earth and Planetary SciencesEnvironmental scienceFLEXSatelliteFlexible printed circuitsElectrical and Electronic EngineeringSpectral resolutionImage resolution021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing
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First Retrievals of ASCAT-IB VOD (Vegetation Optical Depth) at Global Scale

2021

Global and long-term vegetation optical depth (VOD) dataset are very useful to monitor the dynamics of the vegetation features, climate and environmental changes. In this study, the radar-based global ASCAT (Advanced SCATterometer) IB (INRAE-BORDEAUX) VOD was retrieved using a model which was recently calibrated over Africa. In order to assess the performance of IB VOD, the Saatchi biomass and three other VOD datasets (ASCAT V16, AMSR2 LPRM V5 and VODCA LPRM V6) derived from C-band observations were used in the comparison. The preliminary results show that IB VOD has a promising ability to predict biomass $(\mathrm{R}=0.74,\ \text{RMSE} =44.82\ \text{Mg}\ \text{ha}^{-1})$ , which is better …

Vegetation optical depth010504 meteorology & atmospheric sciencesvegetation mapping0211 other engineering and technologiesScale (descriptive set theory)02 engineering and technology01 natural sciencesCombinatoricsremote sensingvegetationoptical sensorC-bandComputingMilieux_MISCELLANEOUSattenuation021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsprediction algorithmbiomassOrder (ring theory)15. Life on landPrediction algorithmsASCAT13. Climate action[SDE]Environmental SciencesVegetation optical DepthScatterometerBiomedical optical imagingRadar Measurement
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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
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Global Long-Term Brightness Temperature Record from L-Band SMOS and Smap Observations

2021

Passive microwave remote sensing observations at L-band provide key and global information on surface soil moisture (SM) and vegetation optical depth (VOD), which are related to the Earth water and carbon cycles. Only two spaceborne L-band sensors are currently operating: SMOS, launched end of 2009 and thus providing now a 11-year global dataset and SMAP, launched beginning of 2015. To ensure SM and L-VOD data continuity in the event of failure of one of the space-borne SMOS or SMAP sensors, we developed a consistent brightness temperature (TB) record by first producing consistent 40° SMOS and SMAP TB estimates based on SMOS-IC and SMAP enhanced data resp., and then fusing them via linear f…

Vegetation optical depthL bandData continuityBrightness temperatureEnvironmental scienceMicrowave remote sensingOptical polarizationSensor fusionTerm (time)Remote sensing2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
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Intercomparison of instruments for measuring leaf area index over rice

2015

Leaf area index (LAI) is a key biophysical parameter used to determine foliage cover and crop growth in environmental studies in order to assess crop yield. LAI estimates can be classified as direct or indirect methods. Direct methods are destructive, time consuming, and difficult to apply over large fields. Indirect methods are non-destructive and cost-effective due to its portability, accuracy and repeatability. In this study, we compare indirect LAI estimates acquired from two classical instruments such as LAI-2000 and digital cameras for hemispherical photography, with LAI estimates acquired with a smart app (PocketLAI) installed on a mobile smartphone. In this work it is shown that LAI…

VegetationHemispherical photographyriceCrop growthAgricultureIndexesRemote sensingCamerassmartphoneFoliage coverMeteorologyPhotographyLeaf Area Index (LAI)Environmental scienceLeaf area indexInstrumentsRemote sensing2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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Sun-induced chlorophyll fluorescence II: Review of passive measurement setups, protocols, and their application at the leaf to canopy level

2019

Imaging and non-imaging spectroscopy employed in the field and from aircraft is frequently used to assess biochemical, structural, and functional plant traits, as well as their dynamics in an environmental matrix. With the increasing availability of high-resolution spectroradiometers, it has become feasible to measure fine spectral features, such as those needed to estimate sun-induced chlorophyll fluorescence (F), which is a signal related to the photosynthetic process of plants. The measurement of F requires highly accurate and precise radiance measurements in combination with very sophisticated measurement protocols. Additionally, because F has a highly dynamic nature (compared with othe…

VegetationUFSP13-8 Global Change and BiodiversityFIS/06 - FISICA PER IL SISTEMA TERRA E PER IL MEZZO CIRCUMTERRESTREScienceQ1900 General Earth and Planetary SciencesGEO/12 - OCEANOGRAFIA E FISICA DELL'ATMOSFERASun-induced fluorescence; Spectroradiometer; Spectrometer; Vegetation; Radiance; Reflectance; Remote sensing; FLEXReflectanceRadianceRemote sensingSpectrometerGEO/11 - GEOFISICA APPLICATAFLEX10122 Institute of GeographyGEO/10 - GEOFISICA DELLA TERRA SOLIDASun-induced fluorescenceSpectroradiometerGeneral Earth and Planetary Sciencesddc:620910 Geography & travel
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Using very high resolution (VHR) imagery within a GEOBIA framework for gully mapping: an application to the Calhoun Critical Zone Observatory

2019

AbstractGully erosion is a form of accelerated erosion that may affect soil productivity, restrict land use, and lead to an increase of risk to infrastructure. An accurate mapping of these landforms can be difficult because of the presence of dense canopy and/or the wide spatial extent of some gullies. Even where possible, mapping of gullies through conventional field surveying can be an intensive and expensive activity. The recent widespread availability of very high resolution (VHR) imagery has led to a remarkable growth in the availability of terrain information, thus providing a basis for the development of new methodologies for analyzing Earth's surfaces. This work aims to develop a ge…

Very high resolutionAtmospheric Science010504 meteorology & atmospheric sciencesSettore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologia0211 other engineering and technologiesCritical zoneeCognition GEOBIA gully erosion landform analysis soil erosion02 engineering and technologyGeotechnical Engineering and Engineering Geology01 natural sciencesObservatorySettore ICAR/06 - Topografia E CartografiaGeology021101 geological & geomatics engineering0105 earth and related environmental sciencesCivil and Structural EngineeringWater Science and TechnologyRemote sensingJournal of Hydroinformatics
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UAV Systems for Photogrammetric Data Acquisition of Archaeological Sites

2012

The use of UAV systems for surveying archaeological sites is becoming progressively more common due to the considerable potential in terms of rapidity of survey, costs and accuracy. The paper presents the first results of the photogrammetric survey of the archaeological site of Himera in Sicily (Italy) using by UAV systems. A complete documentation of the site through the production of a DSM and an ortho image were carried out. The research further evaluated two different image processing workflows: a typical photogrammetric approach and a computer vision approach. An ortho image of the archaeological site with a very high resolution was obtained. Dept. of Civil, Environmental, Aerospace an…

Very high resolutionComputer VisionImage processingOrtho imageUAVsArchaeologyDSMGeographyData acquisitionDocumentationPhotogrammetryArchaeologyPhotogrammetryCartographySettore ICAR/06 - Topografia E CartografiaRemote sensingUAVs Photogrammetry Archaeology Computer Vision DSM Ortho-image
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