Search results for "Optical radar"

showing 6 items of 6 documents

Climatology of the aerosol extinction-to-backscatter ratio from sun-photometric measurements

2010

The elastic lidar equation contains two unknown atmospheric parameters, namely, the particulate optical extinction and backscatter coefficients, which are related through the lidar ratio (i.e., the particulate-extinction-to-backscatter ratio). So far, independent inversion of the lidar signal has been carried out by means of Raman lidars (usually limited to nighttime measurements), high-spectral-resolution lidars, or scanning elastic lidars under the assumption of a homogeneously vertically stratified atmosphere. In this paper, we present a procedure to obtain the lidar ratio at 532 nm by a combined Sunphotometer– aerosol-model inversion, where the viability of the solution is largely reinf…

AerosolsBackscatterSignal theory (Telecommunication)Optical radar:Enginyeria de la telecomunicació [Àrees temàtiques de la UPC]Sun-PhotometricSolar irradianceAERONETAerosolSun photometerSenyal Teoria del (Telecomunicació)LidarRadianceGeneral Earth and Planetary SciencesEnvironmental scienceback trajectoriesElectrical and Electronic Engineeringextinction-tobackscatterAtmospheric opticsPhysics::Atmospheric and Oceanic PhysicsSun photometer.Remote sensing
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Mapping Carbon Stocks In Central And South America With Smap Vegetation Optical Depth

2019

Mapping carbon stocks in the tropics is essential for climate change mitigation. Passive microwave remote sensing allows estimating carbon from deep canopy layers through the Vegetation Optical Depth (VOD) parameter. Although their spatial resolution is coarser than that of optical vegetation indices or airborne Lidar data, microwaves present a higher penetration capacity at low frequencies (L-band) and avoid cloud masking. This work compares the relationships of airborne carbon maps in Central and South America with both (i) SMAP L-band VOD at 9 km gridding and (ii) MODIS Enhanced Vegetation Index (EVI). Models to estimate carbon stocks are built from these two satellite-derived variables.…

CanopyL bandTeledetecció010504 meteorology & atmospheric sciencesRadiofreqüència0208 environmental biotechnologyClimate changeOptical radar02 engineering and technology01 natural sciencesComunicacions òptiquesCarboniImage resolution0105 earth and related environmental sciencesRemote sensingVegetation mappingVegetationOptical communicationsTropicsEnhanced vegetation indexRemote sensing:Enginyeria de la telecomunicació [Àrees temàtiques de la UPC]Carbon020801 environmental engineering:Enginyeria de la telecomunicació::Telecomunicació òptica [Àrees temàtiques de la UPC]Climate change mitigationRemote sensing by laser beamSpatial ecologyEnvironmental scienceSistemes de gestió mediambientalIGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
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Obtaining the three-dimensional structure of tree orchards from remote 2D terrestrial LIDAR scanning

2009

In recent years, LIDAR (light detection and ranging) sensors have been widely used to measure environmental parameters such as the structural characteristics of trees, crops and forests. Knowledge of the structural characteristics of plants has a high scientific value due to their influence in many biophysical processes including, photosynthesis, growth, CO2-sequestration and evapotranspiration, playing a key role in the exchange of matter and energy between plants and the atmosphere, and affecting terrestrial, above-ground, carbon storage. In this work, we report the use of a 2D LIDAR scanner in agriculture to obtain three-dimensional (3D) structural characteristics of plants. LIDAR allows…

Atmospheric ScienceGlobal and Planetary ChangeCorrelation coefficientForestryVegetationOptical radarRadar òpticTree volumeFotogrametria aèriaArbresTerrestrial LIDARTree (data structure)Lidar:Enginyeria agroalimentària::Ciències forestals [Àrees temàtiques de la UPC]Evapotranspiration3D Plant structureEnvironmental scienceOrchardLeaf area indexAgronomy and Crop ScienceLaser measurementsRemote sensingWoody plant
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A tractor mounted scanning LIDAR for the non-destructive measurement of vegetative volume and surface area of tree-row plantations: A comparison with…

2009

The use of a low-cost tractor-mounted scanning Light Detection and Ranging (LIDAR) system for capable of making non-destructive recordings of tree-row structure in orchards and vineyards is described. Field tests consisted of several LIDAR measurements on both sides of the crop row, before and after defoliation of selected trees. Summary parameters describing the tree-row volume and the total crop surface area viewed by the LIDAR (expressed as a ratio with ground surface area) were derived using a suitable numerical algorithm. The results for apple and pear orchards and a wine producing vineyard were shown to be in reasonable agreement with the results derived from a destructive leaf sampli…

Tractorbusiness.product_categoryOptical instrumentSoil ScienceOptical radarGeometrical characteristics of plantsVineyardlaw.inventionlaw3D Plant structureLeaf area index:Enginyeria agroalimentària::Enginyeria del medi rural::Maquinària agrícola [Àrees temàtiques de la UPC]Remote sensingLidarLàsers -- AplicacionsLeaf Area IndexRadar òpticLAIArbresTree (data structure)LidarVolume (thermodynamics)Control and Systems EngineeringEnvironmental sciencebusinessAgronomy and Crop ScienceFood ScienceWoody plant
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Intercomparison of spanish advanced lidars in the framework of EARLINET

2007

To extend and reinforce the action of the EARLINET- ASOS project, a nucleus of Spanish advanced lidars was created. Four systems were intercompared satisfactorily in terms of backscatter coefficients at two elastic wavelengths. Peer Reviewed

AerosolsTeledeteccióMeteorologyRemote sensingAtmosphere -- Laser observationsAtmosfera -- Observacions amb làserOptical radarLidar:Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció [Àrees temàtiques de la UPC]Instrument intercomparisonLidar networkEnvironmental scienceRemote sensing:Desenvolupament humà i sostenible::Degradació ambiental::Contaminació atmosfèrica [Àrees temàtiques de la UPC]
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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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