Search results for "Vegetation height"

showing 3 items of 3 documents

Hydroseeding application on degraded slopes in the southern Mediterranean area (Sicily)

2013

Abstract. Hydroseeding is a technique increasingly used to establish vegetation on degraded areas in order to provide environmental protection. The objective of this article was to evaluate the effectiveness of four different hydroseeding methods (bonded fiber matrix hydroseeding, thick hydroseeding, reinforced hydroseeding plus water retention, and reinforced hydroseeding) on a degraded artificial slope in the southern Mediterranean area determining total vegetation cover, hydroseeding vegetation cover, hydroseeding success index (HSI), natural and hydroseeded vegetation height. The test area does not allow the use of any operating machinery for soil and vegetation management, and the only…

Mediterranean climateHydrologyVegetation heightGeneral EngineeringDegraded area Hydroseeding Reclamation Semiarid climateSettore AGR/09 - Meccanica AgrariaVegetationHumusVegetation coverHydroseedingEnvironmental scienceMediterranean areaMulch
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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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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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