Search results for "L band"

showing 10 items of 148 documents

Spectral band selection for vegetation properties retrieval using Gaussian processes regression

2020

Abstract With current and upcoming imaging spectrometers, automated band analysis techniques are needed to enable efficient identification of most informative bands to facilitate optimized processing of spectral data into estimates of biophysical variables. This paper introduces an automated spectral band analysis tool (BAT) based on Gaussian processes regression (GPR) for the spectral analysis of vegetation properties. The GPR-BAT procedure sequentially backwards removes the least contributing band in the regression model for a given variable until only one band is kept. GPR-BAT is implemented within the framework of the free ARTMO's MLRA (machine learning regression algorithms) toolbox, w…

FOS: Computer and information sciences010504 meteorology & atmospheric sciencesComputer Vision and Pattern Recognition (cs.CV)0211 other engineering and technologiesComputer Science - Computer Vision and Pattern Recognition02 engineering and technologyManagement Monitoring Policy and Law01 natural sciencesStatistics - Applicationssymbols.namesakeFOS: Electrical engineering electronic engineering information engineeringApplications (stat.AP)Computers in Earth SciencesGaussian processHyMap021101 geological & geomatics engineering0105 earth and related environmental sciencesEarth-Surface ProcessesRemote sensingGlobal and Planetary ChangeImage and Video Processing (eess.IV)Hyperspectral imagingRegression analysisVegetationSpectral bands15. Life on landElectrical Engineering and Systems Science - Image and Video ProcessingRegressionGeographyGround-penetrating radarsymbolsInternational Journal of Applied Earth Observation and Geoinformation
researchProduct

Brown and green LAI mapping through spectral indices

2015

Abstract When crops senescence, leaves remain until they fall off or are harvested. Hence, leaf area index (LAI) stays high even when chlorophyll content degrades to zero. Current LAI approaches from remote sensing techniques are not optimized for estimating LAI of senescent vegetation. In this paper a two-step approach has been proposed to realize simultaneous LAI mapping over green and senescent croplands. The first step separates green from brown LAI by means of a newly proposed index, ‘Green Brown Vegetation Index (GBVI)’. This index exploits two shortwave infrared (SWIR) spectral bands centred at 2100 and 2000 nm, which fall right in the dry matter absorption regions, thereby providing…

Global and Planetary ChangeHyperspectral imagingEnhanced vegetation indexVegetationSpectral bandsManagement Monitoring Policy and LawGeographyAbsorption bandComputers in Earth SciencesLeaf area indexAbsorption (electromagnetic radiation)HyMapEarth-Surface ProcessesRemote sensingInternational Journal of Applied Earth Observation and Geoinformation
researchProduct

Laboratory calibration and field measurement of land surface temperature and emissivity using thermal infrared multiband radiometers

2019

Accurate ground measurements of land surface temperature (LST) are necessary for validating satellite LST products. In order to provide reliable data, ground radiometers must be calibrated with reference to an international standard, and radiometric temperatures must be corrected for land surface emissivity. As opposed to water, land surface emissivity is not usually known for many ground covers, so an emissivity value has to be assumed, assigned from spectral emissivity libraries or measured for each land cover and spectral band considered. The aim of this study is to show the laboratory calibration and the methodology for simultaneous field measurements of LST and emissivity employed in t…

Global and Planetary ChangeRadiometer010504 meteorology & atmospheric sciences0211 other engineering and technologies02 engineering and technologyLand coverSpectral bandsManagement Monitoring Policy and Law01 natural sciencesRadianceCalibrationEmissivityEnvironmental scienceBlack-body radiationSatelliteComputers in Earth Sciences021101 geological & geomatics engineering0105 earth and related environmental sciencesEarth-Surface ProcessesRemote sensingInternational Journal of Applied Earth Observation and Geoinformation
researchProduct

Mapping burns and natural reforestation using thematic Mapper data

1991

Abstract Remote sensing techniques are specially suitable to detect and to map areas affected by forest fires. In this work, Landsat 5 Thematic Mapper (TM) data has been used to study a number of forest fires that occurred in the province of Valencia (Spain) and to monitor the vegetation regeneration over burnt areas. A reference area (non‐burnt forest) was established to assess the change produced by fire. The radiance in the thermal band (10.4–12.5 μm) and the normalized difference in reflectance between near 1R (0.76–0.90 μm) and middle IR (2.08–2.35 μm) were the most suitable parameters to map burnt areas. This index can also be used for monitoring vegetation regeneration in burnt areas…

HydrologyGeographyThematic MapperThermal bandGeography Planning and DevelopmentRadianceReforestationForestryEnhanced vegetation indexVegetationVegetation IndexReflectivityWater Science and TechnologyGeocarto International
researchProduct

Optimization of image parameters using a hyperspectral library application to soil identification and moisture estimation

2009

The growing number of sensors raises questions about the image parameters required for the application, soil identification and moisture estimation. Hyperspectral images are also known to contain highly redundant information. Hence not all the spectral bands are needed for the satisfactory classification of the soil types. Hence, the work was aimed at obtaining these optimal spectral bands for identifying the soil types and to use these spectral bands to estimate the moisture content of the soils using the method proposed by Whiting et.al.

Identification (information)MoistureSoil waterEnvironmental scienceHyperspectral imagingFeature selectionSoil classificationSpectral bandsWater contentPhysics::GeophysicsRemote sensing2009 IEEE International Geoscience and Remote Sensing Symposium
researchProduct

High resolution study of AsHD2: Ground state and the three bending fundamental bands v(3), v(4), and v(6)

2006

International audience; For the first time the infrared spectrum of the AsHD2 molecule has been measured in the region of the bending fundamental bands v(3), v(4), and v(6) on a Fourier transform spectrometer with a resolution of 0.0024 cm(-1) and analyzed. More than 5500 transitions with J(max) = 26 have been assigned and used both to obtain "ground state combination differences" and for the determination of upper state ro-vibrational energies of the triad (001000), (000100), and (000001). Rotational parameters including centrifugal distortion coefficients up to octic terms of the ground vibrational state were calculated by fitting more than 500 "ground state combination differences" with …

InfraredFourier transform spectrometersHigh resolution7. Clean energy01 natural sciencessymbols.namesakeNuclear magnetic resonance0103 physical sciencesMoleculespectroscopic parametersPhysical and Theoretical Chemistry010303 astronomy & astrophysicsSpectroscopyPhysics[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]010304 chemical physicsAtomic and Molecular Physics and Opticsinfrared spectrumisotopic species[ PHYS.PHYS.PHYS-AO-PH ] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]symbolsAsH3Atomic physicsGround stateHamiltonian (quantum mechanics)fundamental bands
researchProduct

Calibrating the effective scattering albedo in the SMOS algorithm: some first results

2016

International audience; This study focuses on the calibration of the effective scattering albedo (ω) of vegetation in the soil moisture (SM) retrieval at L-Band. Currently, in the SMOS Level 2 and 3 algorithms, the value of ω is set to 0 for low vegetation and ∼ 0.06 – 0.08 for forests. Different parameterizations of vegetation (in terms of ω values) were tested in this study. The possibility of combining soil roughness and vegetation contributions as a single parameter (“combined” method) leads to an important simplification in the algorithm and was also evaluated here. Following these assumptions, retrieved values of SMOS SM were compared with SM data measured over many in situ sites worl…

L band010504 meteorology & atmospheric sciencesPixelScattering0211 other engineering and technologies[SDU.STU]Sciences of the Universe [physics]/Earth SciencesSingle parameter02 engineering and technologyVegetationSMAP15. Life on landAlbedo01 natural sciencesscattering albedoCalibrationEnvironmental sciencesoil moistureL-MEB modelAlgorithmWater content[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingSMOS
researchProduct

Incidence Angle Diversity on L-Band Microwave Radiometry and Its Impact on Consistent Soil Moisture Retrievals

2021

Incidence angle diversity of space-borne L-band radiometers needs to be taken into account for a consistent estimation of surface soil moisture (SM). In this study, the Land Parameter Retrieval Model (LPRM) is applied to SMOS brightness temperatures to calibrate the effective scattering albedo (w) and the soil roughness (h 1 ) parameter against ERA5-land SM. The analysis is carried out for SMOS data at three different incidence angles ( 32.5±5∘, 42.5±5∘ and 52.5±5∘ ) focusing in 2016 on the three main land cover types of the Iberian Peninsula according to the Climate Change Initiative (agricultural, forest and grassland). The parameterization shows an increasing trend of w and h 1 with rise…

L bandBrightnessmicrowaveincidence angleScattering albedoradiometryLand coverAtmospheric sciencesMicroonesmulti-angularMicrowavesWater contentRadiometerScattering:Enginyeria de la telecomunicació [Àrees temàtiques de la UPC]AlbedoL-bandSatèl·lits artificials en teledeteccióEnvironmental scienceSoil moistureRoughness and incidence angle diversitysoil moistureMicrowave radiometryLPRMArtificial satellites in remote sensingSMOS
researchProduct

Characterization of PP-cLT Waveguides for Second-Harmonic-Generation and Wavelength-Conversion in the C + L Band of Optical Communications

2010

We report the characterization of single-mode optical waveguides at telecom wavelength, realized in congruent lithium-tantalate. We demonstrate that waveguides realized by proton-exchange show a nonlinear coefficient matching that expected in a bulk crystal.

L bandMaterials sciencebusiness.industryIntegrated optics Wavelength conversion devicesOptical communicationPhysics::OpticsSecond-harmonic generationWavelength conversionCharacterization (materials science)WavelengthOpticsOptoelectronicsbusinessPhase conjugationBulk crystal
researchProduct

Comparison of downscaling techniques for high resolution soil moisture mapping

2017

Soil moisture impacts exchanges of water, energy and carbon fluxes between the land surface and the atmosphere. Passive microwave remote sensing at L-band can capture spatial and temporal patterns of soil moisture in the landscape. Both ESA and NASA have launched L-band radiometers, in the form of the SMOS and SMAP satellites respectively, to monitor soil moisture globally, every 3-day at about 40 km resolution. However, their coarse scale restricts the range of applications. While SMAP included an L-band radar to downscale the radiometer soil moisture to 9 km, the radar failed after 3 months and this initial approach is not applicable to developing a consistent long term soil moisture prod…

L bandRadiometer010504 meteorology & atmospheric sciences0211 other engineering and technologiesdownscalingFOS: Physical sciencesPhysics - Applied PhysicsApplied Physics (physics.app-ph)02 engineering and technology01 natural scienceslaw.inventionAtmosphereMicrowave imaging13. Climate actionlawcomparisonEnvironmental scienceRadarsoil moistureScale (map)Water content021101 geological & geomatics engineering0105 earth and related environmental sciencesDownscalingRemote sensing
researchProduct