Search results for "Remote Sensing"

showing 10 items of 1262 documents

The Yearly Land Cover Dynamics (YLCD) method: An analysis of global vegetation from NDVI and LST parameters

2009

NDVI (Normalized Difference Vegetation Index) has been widely used to monitor vegetation changes since the early eighties. On the other hand, little use has been made of land surface temperatures (LST), due to their sensitivity to the orbital drift which affects the NOAA (National Oceanic and Atmospheric Administration) platforms flying AVHRR sensor. This study presents a new method for monitoring vegetation by using NDVI and LST data, based on an orbital drift corrected dataset derived from data provided by the GIMMS (Global Inventory Modeling and Mapping Studies) group. This method, named Yearly Land Cover Dynamics (YLCD), characterizes NDVI and LST behavior on a yearly basis, through the…

Soil ScienceGeologyEnhanced vegetation indexLand coverNormalized Difference Vegetation IndexLinear regressionVegetation typeOutliermedicineEnvironmental sciencePlant coverComputers in Earth Sciencesmedicine.symptomVegetation (pathology)Remote sensingRemote Sensing of Environment
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Surface soil water content estimation based on thermal inertia and Bayesian smoothing

2014

Soil water content plays a critical role in agro-hydrology since it regulates the rainfall partition between surface runoff and infiltration and, the energy partition between sensible and latent heat fluxes. Current thermal inertia models characterize the spatial and temporal variability of water content by assuming a sinusoidal behavior of the land surface temperature between subsequent acquisitions. Such behavior implicitly supposes clear sky during the whole interval between the thermal acquisitions; but, since this assumption is not necessarily verified even if sky is clear at the exact epoch of acquisition, , the accuracy of the model may be questioned due to spatial and temporal varia…

Soil Water Content Bayesian Smoothing Thermal Inertia MODIS SEVIRI.Meteorologymedia_common.quotation_subjectPolar orbitBayesian SmoothingLatent heatSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliElectrical and Electronic EngineeringWater contentImage resolutionRemote sensingmedia_commonSettore ING-INF/03 - TelecomunicazioniElectronic Optical and Magnetic MaterialSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaThermal InertiaComputer Science Applications1707 Computer Vision and Pattern RecognitionSEVIRICondensed Matter PhysicsApplied MathematicGeographyMODISSoil Water ContentSkyGeostationary orbitSurface runoffShortwaveSettore ICAR/06 - Topografia E CartografiaSPIE Proceedings
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Modelling soil carbon fate under erosion process in vineyard

2017

Soil erosion processes in vineyards beyond water runoff and sediment transport have a strong effect on soil organic carbon loss (SOC) and redistribution along the slope. The variation of SOC across the landscape determines a difference in soil fertility and vine productivity. The aim of this research was to study erosion of a Mediterranean vineyard, develop an approach to estimate the SOC loss, correlate the vines vigor with sediment and carbon erosion. The study was carried out in a Sicilian (Italy) vineyard, planted in 2011. Along the slope, six pedons were studied by digging 6 pits up to 60cm depth. Soil was sampled in each pedon every 10cm and SOC was analyzed. Soil erosion, detachment …

Soil erosion water runoff sediment transport soil organic carbon loss vineyard remote sensing
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SENTINEL-1 for wheat mapping and soil moisture retrieval

2015

The main objective of this study is to assess the use of Sentinel-1 (S-1) data for surface soil moisture (SSM) retrieval and wheat mapping (WM) at high spatial resolution (e.g. 100–500m), which constitute valuable information for improving crop yield forecast at large scale. A knowledge based classification method and a SSM retrieval algorithm, developed in view of the European Space Agency Sentinel-1 mission, have been applied to a time series of S-1A data collected from October 2014 to April 2015 over a well-documented agricultural site in southern Italy. In particular, observations of SSM content recorded by a network of ground stations deployed in an experimental farm have been used to …

Soil mapSynthetic aperture radarDigital soil mappingcrop mapsRange (statistics)Environmental scienceSentinel-1soil moisture contentTime seriesScale (map)Water contentRoot-mean-square deviationRemote sensing
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Mapping evapotranspiration on vineyards: The Sentinel-2 potentiality

2012

stimation of actual evapotranspiration in Sicilian vineyards, is an emerging issue since these agricultural systems. Indeed unlike other agricultural species (Vitis vinifera L. ) are generally cultivated under mild water stress, in order to enhance quality (Guadillère et al. , 2002. This has significant impacts on the management of the scarce water resources of the region. The choice of the most appropriate methodology for assessing water use in these systems is still an issue of debating, due to the complexity of canopy and root systems and for their high spatial fragmentation. In vineyards, quality and quantity of the final product are dependent on the controlled stress conditions to be s…

Space and Planetary ScienceSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaAerospace EngineeringSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliEvapotranspiration Remote SensingSettore ICAR/06 - Topografia E Cartografia
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Land Surface Temperature

2019

Abstract An introduction to the chapter on Land Surface Temperature (LST). The basic thermal infrared theory is presented with example algorithms for the retrieval of LST and emissivity data are described in the later section. Various methods to validate satellite Land Surface Temperature (LST) products exist, but the most accurate and conclusive method is the direct comparison against in situ LST obtained from spatially representative radiance measurements over homogeneous sites. Some validation results and insights found in the literature are provided and the determination of in situ emissivity and LST with thermal infrared field radiometers is explained. The chapter concludes with an exa…

Spatial contextual awarenessRadiometerLand useRadianceEmissivityEnvironmental scienceSatelliteScale (map)Field (geography)Remote sensing
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Alternate Inrae-Bordeaux VOD Indices from SMOS, AMSR2 and ASCAT: Overview of Recent Developments

2021

International audience; Vegetation optical depth (VOD) is used to parameterize microwave extinction effects within the vegetation layer. Many studies have showed VOD presents interesting features for applications in ecology, water and carbon cycles, and VOD is only marginally impacted by signal disturbances and artefacts from atmospheric, cloud and sun illumination effects. As soil moisture (and not VOD) has generally been the main factor of interest in retrieval studies from microwave observations, there is room for improvement in the retrieved VOD products. In this context, INRAE Bordeaux recently developed alternate VOD products from the SMOS, AMSR2 and ASCAT sensors, by addressing speci…

Spatial correlationVegetation optical depth[SDE.IE]Environmental Sciences/Environmental EngineeringEnvironmental scienceContext (language use)VegetationRemote sensingRadiometryMoistureRemote sensing2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
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Proximal-sensing-powered modelling of energy-water fluxes in a vineyard: A spatial resolution analysis

2021

Spatial resolution is a key parameter in energy–water surface flux modelling. In this research, scale effects are analyzed on fluxes modelled with the FEST-EWB model, by upscaling both its inputs and outputs separately. The main questions are: (a) if high-resolution remote sensing images are necessary to accurately model a heterogeneous area; and (b) whether and to what extent low-resolution modelling provides worse/better results than the upscaled results of high-resolution modelling. The study area is an experimental vineyard field where proximal sensing images were obtained by an airborne platform and verification fluxes were measured via a flux tower. Modelled fluxes are in line with th…

Spatial resolutionPixelEvapotranspirationEnergy-balance modelScienceQVineyardSpatial heterogeneityFlux (metallurgy)Approximation errorEvapotranspirationUpscalingCalibrationGeneral Earth and Planetary SciencesEnvironmental scienceImage resolutionEnergy (signal processing)Settore ICAR/06 - Topografia E CartografiaRemote sensing
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Assessing daily actual evapotranspiration through energy balance: an experiment to evaluate the selfpreservation hypothesis with acquisition time

2013

An operational use of the actual evapotranspiration estimates requires the integration from instantaneous to daily values. This can commonly be achieved under the hypothesis of daytime self-preservation of the evaporative fraction. In this study, it has been evaluated the effect of this assumption on the assessment of daily evapotranspiration from proximity sensing images acquired at hourly intervals over a homogeneous olive groove. Results have been validated by comparison with observations made by a micrometeorological (EC-flux tower) and an eco-physiological (sap flux) sensor. SEBAL model has been applied to thermal and multispectral images acquired during a clear day on August 2009 trou…

Spatial resolutionSEBALDaytimeEvapotranspirationMeteorologyMultispectral imageSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaEnergy balanceFluxEnergy balanceEnergy balance; Evapotranspiration; Self-preservation hypothesis; Spatial resolutionGeographyConsistency (statistics)Evapotranspirationenergy balance evapotranspiration self-preservation hypothesis spatial resolutionSelf-preservation hypothesisSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliImage resolutionSettore ICAR/06 - Topografia E CartografiaRemote sensing
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A red-edge spectral index for remote sensing estimation of green LAI over agroecosystems

2013

Abstract Leaf area index (LAI) is a key biophysical parameter for the monitoring of agroecosystems. Conventional two-band vegetation indices based on red and near-infrared relationships such as the normalized difference vegetation index (NDVI) are well known to suffer from saturation at moderate-to-high LAI values (3–5). To bypass this saturation effect, in this work a robust alternative has been proposed for the estimation of green LAI over a wide variety of crop types. By using data from European Space Agency (ESA) campaigns SPARC 2003 and 2004 (Barrax, Spain) experimental LAI values over 9 different crop types have been collected while at the same time spaceborne imagery have been acquir…

Spectral indexSoil ScienceRed edgeHyperspectral imagingSatellitePlant SciencePrecision agricultureVegetationLeaf area indexAgronomy and Crop ScienceNormalized Difference Vegetation IndexMathematicsRemote sensingEuropean Journal of Agronomy
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