Search results for "MAGE"

showing 10 items of 8305 documents

Down-Scaling Modis Vegetation Products with Landsat GAP Filled Surface Reflectance in Google Earth Engine

2020

High spatial resolution vegetation products are fundamental in different fields, such as improving the understanding of crop seasonality at regional scales. Here, two new vegetation products such as the Leaf Area Index (LAI) and the Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) are downscaled at continental scales. A novel HIghly Scalable Temporal Adaptive Reflectance Fusion Model (HIS-TARFM) is used to generate the gap-free time series of Landsat surface reflectance data by fusing MODIS and Landsat reflectance for the contiguous United States. An artificial neural network is trained to capture the relationship between the gap free Landsat surface reflectance and the MODI…

010504 meteorology & atmospheric sciences0208 environmental biotechnology02 engineering and technologyDown scalingVegetationSeasonalitymedicine.disease01 natural sciencesReflectivity020801 environmental engineeringPhotosynthetically active radiationHigh spatial resolutionmedicineEnvironmental scienceLeaf area indexImage resolution0105 earth and related environmental sciencesRemote sensingIGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
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Digital thermal monitoring of the Amazon forest: an intercomparison of satellite and reanalysis products

2015

Remote sensing and climate digital products have become increasingly available in recent years. Access to these products has favored a variety of Digital Earth studies, such as the analysis of the impact of global warming over different biomes. The study of the Amazon forest response to drought has recently received particular attention from the scientific community due to the occurrence of extreme droughts and anomalous warming over the last decade. This paper focuses on the differences observed between surface thermal anomalies obtained from remote sensing moderate resolution imaging spectroradiometer (MODIS) and climatic (ERA-Interim) monthly products over the Amazon forest. With a few e…

010504 meteorology & atmospheric sciences0208 environmental biotechnologyBiome02 engineering and technology01 natural sciences020801 environmental engineeringComputer Science ApplicationsGeographyRemote sensing (archaeology)Effects of global warmingClimatologyGeneral Earth and Planetary SciencesCommon spatial patternSatellite imagerySatelliteModerate-resolution imaging spectroradiometerSoftwareDigital Earth0105 earth and related environmental sciences
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Measuring rill erosion using structure from motion: A plot experiment

2017

Abstract In this paper the results of a plot experiment on rill erosion are reported. The rill network, manually incised on the soil and further shaped by a clear inflow discharge, was surveyed using the three-dimensional photo-reconstruction (3D-PR) technique which allows to obtain a digital terrain model (DTM) by a large series of oblique images of the channel from consumer un-calibrated and non-metric cameras. The three-dimensional (3D) DTM and the quasi-tridimensional (2.5D) model were generated by Agisoft Photoscan software. For a single rill channel, the reliability of the 3D image-based ground measurements of morphological and hydraulic variables was positively tested by the correspo…

010504 meteorology & atmospheric sciences0208 environmental biotechnologyFlow (psychology)02 engineering and technologyInflow01 natural sciencesSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliDigital elevation modelGeomorphology0105 earth and related environmental sciencesEarth-Surface ProcessesRill erosiongeographygeography.geographical_feature_categoryRill characteristicDEMSedimentChannelizedField experiment020801 environmental engineeringRillErosion3D Photo-reconstructionImage-based ground measurement techniqueProfilometerGeologyCATENA
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Bathymetric estimation using MERIS images in coastal sea waters.

2007

Bathymetric estimation using remote sensing images has previously been applied to high spatial resolution imagery such as CASI, Ikonos, or SPOT but not on medium spatial resolution images (i.e., MERIS). This choice can be justified when there is a need to map the bathymetry on large areas. In this letter, we present the results of the bathymetry estimation over a large known area, the Gulf of Lion (France), expanding over 270times180 km

010504 meteorology & atmospheric sciences0211 other engineering and technologies02 engineering and technologyCoastal zone01 natural sciences[SPI]Engineering Sciences [physics]Coastal zoneHigh spatial resolutionBathymetry14. Life underwaterElectrical and Electronic EngineeringImage resolutionComputingMilieux_MISCELLANEOUS021101 geological & geomatics engineering0105 earth and related environmental sciencesCoastal seaRemote sensingEstimationGeotechnical Engineering and Engineering GeologyMERISOceanographyRemote sensing (archaeology)Bathymetry[SDE]Environmental Sciences[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingGeology
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2019

Urban Heat Islands (UHIs) at the surface and canopy levels are major issues in urban planification and development. For this reason, the comprehension and quantification of the influence that the different land-uses/land-covers have on UHIs is of particular importance. In order to perform a detailed thermal characterisation of the city, measures covering the whole scenario (city and surroundings) and with a recurrent revisit are needed. In addition, a resolution of tens of meters is needed to characterise the urban heterogeneities. Spaceborne remote sensing meets the first and the second requirements but the Land Surface Temperature (LST) resolutions remain too rough compared to the urban o…

010504 meteorology & atmospheric sciences0211 other engineering and technologiesHyperspectral imaging02 engineering and technologyAlbedo01 natural sciences13. Climate actionKriging11. SustainabilityGeneral Earth and Planetary SciencesEnvironmental scienceSatelliteSatellite imageryUrban heat islandScale (map)Image resolution021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRemote Sensing
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Two-year global simulation of L-band brightness temperatures over land

2003

International audience; This letter presents a synthetic L-band (1.4 GHz) multiangular brightness temperature dataset over land surfaces that was simulated at a half-degree resolution and at the global scale. The microwave emission of various land-covers (herbaceous and woody vegetation, frozen and unfrozen bare soil, snow, etc.) was computed using a simple model [L-band Microwave Emission of the Biosphere (L-MEB)] based on radiative transfer equations. The soil and vegetation characteristics needed to initialize the L-MEB model were derived from existing land-cover maps. Continuous simulations from a land-surface scheme for 1987 and 1988 provided time series of the main variables driving t…

010504 meteorology & atmospheric sciences0211 other engineering and technologiesmodeling02 engineering and technologyLand coverVegetation[INFO.INFO-IA]Computer Science [cs]/Computer Aided EngineeringSnow01 natural sciencesPhysics::GeophysicsBrightness temperatureglobal scaleSoil waterRadiative transferGeneral Earth and Planetary SciencesEnvironmental scienceRadiometryL-band radiometryElectrical and Electronic Engineeringsoil moistureWater content[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing
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Generation of global vegetation products from EUMETSAT AVHRR/METOP satellites

2020

We describe the methodology applied for the retrieval of global LAI, FAPAR and FVC from Advanced Very High Resolution Radiometer (AVHRR) onboard the Meteorological-Operational (MetOp) polar orbiting satellites also known as EUMETSAT Polar System (EPS). A novel approach has been developed for the joint retrieval of three parameters (LAI, FVC, and FAPAR) instead of training one model per parameter. The method relies on multi-output Gaussian Processes Regression (GPR) trained over PROSAIL EPS simulations. A sensitivity analysis is performed to assess several sources of uncertainties in retrievals and maximize the positive impact of modeling the noise in training simulations. We describe the ma…

010504 meteorology & atmospheric sciencesAdvanced very-high-resolution radiometerComputer scienceImage and Video Processing (eess.IV)0211 other engineering and technologiesPolar orbit02 engineering and technologyVegetationAtmospheric modelElectrical Engineering and Systems Science - Image and Video Processing01 natural sciencesGround-penetrating radarFOS: Electrical engineering electronic engineering information engineeringSatelliteSensitivity (control systems)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing
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Derivation of global vegetation biophysical parameters from EUMETSAT Polar System

2020

Abstract This paper presents the algorithm developed in LSA-SAF (Satellite Application Facility for Land Surface Analysis) for the derivation of global vegetation parameters from the AVHRR (Advanced Very High Resolution Radiometer) sensor on board MetOp (Meteorological–Operational) satellites forming the EUMETSAT (European Organization for the Exploitation of Meteorological Satellites) Polar System (EPS). The suite of LSA-SAF EPS vegetation products includes the leaf area index (LAI), the fractional vegetation cover (FVC), and the fraction of absorbed photosynthetically active radiation (FAPAR). LAI, FAPAR, and FVC characterize the structure and the functioning of vegetation and are key par…

010504 meteorology & atmospheric sciencesAdvanced very-high-resolution radiometerImage and Video Processing (eess.IV)0211 other engineering and technologies02 engineering and technologyVegetationElectrical Engineering and Systems Science - Image and Video Processing01 natural sciencesAtomic and Molecular Physics and OpticsComputer Science Applications13. Climate actionKrigingFOS: Electrical engineering electronic engineering information engineeringRadiative transferRange (statistics)Environmental scienceSatelliteSensitivity (control systems)Computers in Earth SciencesLeaf area indexEngineering (miscellaneous)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingISPRS Journal of Photogrammetry and Remote Sensing
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Validation of the Sentinel-3 Ocean and Land Colour Instrument (OLCI) Terrestrial Chlorophyll Index (OTCI): Synergetic Exploitation of the Sentinel-2 …

2018

Continuity to the Medium Resolution Imaging Spectrometer (MERIS) Terrestrial Chlorophyll Index (MTCI) will be provided by the Sentinel-3 Ocean and Land Colour Instrument (OLCI), and to ensure its utility in a wide range of operational applications, validation efforts are required. In the past, these activities have been constrained by the need for costly airborne hyperspectral data acquisition, but the Sentinel-2 Multispectral Instrument (MSI) now offers a promising alternative. In this paper, we explore the synergetic use of Sentinel-2 MSI data for validation of the Sentinel-3 OLCI Terrestrial Chlorophyll Index (OTCI) over the Valencia Anchor Station, a large agricultural site in the Valen…

010504 meteorology & atmospheric sciencesAgricultural siteMultispectral image0211 other engineering and technologiesImaging spectrometerHyperspectral imaging02 engineering and technology01 natural sciencesValencian communityMedium resolutionChlorophyll indexData acquisitionEnvironmental science021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and -3

2012

Abstract ESA's upcoming satellites Sentinel-2 (S2) and Sentinel-3 (S3) aim to ensure continuity for Landsat 5/7, SPOT-5, SPOT-Vegetation and Envisat MERIS observations by providing superspectral images of high spatial and temporal resolution. S2 and S3 will deliver near real-time operational products with a high accuracy for land monitoring. This unprecedented data availability leads to an urgent need for developing robust and accurate retrieval methods. Machine learning regression algorithms may be powerful candidates for the estimation of biophysical parameters from satellite reflectance measurements because of their ability to perform adaptive, nonlinear data fitting. By using data from …

010504 meteorology & atmospheric sciencesArtificial neural networkMean squared errorbusiness.industryComputer science0211 other engineering and technologiesSoil ScienceGeology02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesRegressionSupport vector machineTemporal resolutionGround-penetrating radarCurve fittingArtificial intelligenceComputers in Earth SciencesbusinessImage resolutioncomputer021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRemote Sensing of Environment
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