Search results for "REM"

showing 10 items of 11264 documents

Enhancing the retrieval of stream surface temperature from Landsat data

2019

International audience; Thermal images of water bodies often show a radiance gradient perpendicular to the banks. This effect is frequently due to mixed land and water thermal pixels. In the case of the Landsat images, radiance mixing can also affect pure water pixels due the cubic convolution resampling of the native thermal measurements. Some authors recommended a general-purpose margin of two thermal pixels to the banks or a minimum river width of three pixels, to avoid near bank effects in water temperature retrievals. Given the relatively course spatial resolution of satellite thermal sensors, the three pixel margin severely restricts their application to temperature mapping in many ri…

010504 meteorology & atmospheric sciencesPixel0208 environmental biotechnologySoil ScienceGeologyImage processing02 engineering and technology01 natural sciencesSubpixel rendering6. Clean water020801 environmental engineering[SDE]Environmental SciencesThermalRadianceEnvironmental scienceSatelliteSatellite imageryComputers in Earth SciencesRiver surface temperature Landsat 8 thermal band Thermal spatial resolution Cubic convolution resampling Thermal impact Mequinenza reservoir Ebro river Thermal stratificationImage resolution0105 earth and related environmental sciencesRemote sensingRemote Sensing of Environment
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Evaluation of the S-NPP VIIRS land surface temperature product using ground data acquired by an autonomous system at a rice paddy

2018

Abstract The S-NPP VIIRS Land Surface Temperature (LST) product attained the stage V1 of validation maturity (provisional validated) at the end of 2014. This paper evaluates the current VIIRS V1 LST product versus concurrent ground data acquired at a rice paddy site from December 2014 to August 2016. The experimental site has three different seasonal and homogeneous land covers through the year, which makes the site interesting for validation activities. An autonomous and multiangular system was used to record continuous ground data at the site. The data acquired at zenith angles similar to the VIIRS viewing angles were used for the validation to avoid possible differences between satellite…

010504 meteorology & atmospheric sciencesPixelMeteorologymedia_common.quotation_subject0211 other engineering and technologies02 engineering and technologyLand cover01 natural sciencesAtomic and Molecular Physics and OpticsComputer Science ApplicationsSkyEmissivityRange (statistics)Environmental scienceSatelliteStage (hydrology)Computers in Earth SciencesEngineering (miscellaneous)Zenith021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingmedia_commonISPRS Journal of Photogrammetry and Remote Sensing
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Influencia del ángulo de observación en la estimación del índice de área foliar (LAI) mediante imágenes PROBA/CHRIS

2016

La estimación de variables biofísicas como el Índice de Área Foliar (LAI) mediante técnicas de teledetección es objeto de numerosos estudios, ya que de su conocimiento se puede extraer valiosa información sobre el estado de la vegetación. En este trabajo se estudia la estimación del LAI mediante imágenes multiangulares PROBA/CHRIS, analizando el comportamiento de la reflectividad medida en sus 5 ángulos de observación, en las longitudes de onda de 665 y 705 nm correspondientes a la banda de absorción de la clorofila y la reflectividad de la vegetación en el Red-Edge, respectivamente. El Índice de Diferencia Normalizada (NDI) calculado en estas longitudes de onda, mostró una buena correlació…

010504 meteorology & atmospheric sciencesRed-EdgeGeography Planning and Development0211 other engineering and technologieslcsh:G1-92202 engineering and technologyViewing angle01 natural sciencesReflectivityNDILAIPROBA/CHRISGeographyEarth and Planetary Sciences (miscellaneous)multiangularLeaf area indexSentinel-2lcsh:Geography (General)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRevista de Teledetección
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Modified climate with long term memory in tree ring proxies

2015

ABSTRACT : A contribution to the PAGES Asia2k Working Group. ABSTRACT: Long term memory (LTM) scaling behavior in worldwide tree ring proxies and subsequent climate reconstructions is analyzed for and compared with the memory structure inherent to instrumental temperature and precipitation data. Detrended fluctuation analysis is employed to detect LTM and its scaling exponent a is used to evaluate LTM. The results show that temperature and precipitation reconstructions based on ring width measurements (mean \alpha =0.8) contain more memory than records based on maximum latewood density (mean \alpha =0.7). Both exceed the memory inherent to regional instrumental data (\alpha =0.6 for tempera…

010504 meteorology & atmospheric sciencesRenewable Energy Sustainability and the EnvironmentLong-term memoryPublic Health Environmental and Occupational HealthExtreme events01 natural sciencesProxy (climate)13. Climate actionClimatology0103 physical sciencesDendrochronologyDetrended fluctuation analysisEnvironmental scienceStatistical analysisCold period010306 general physicsScaling0105 earth and related environmental sciencesGeneral Environmental ScienceEnvironmental Research Letters
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Remote sensing algorithms for estimation of fractional vegetation cover using pure vegetation index values: A review

2020

Abstract Green fractional vegetation cover ( f c ) is an important phenotypic factor in the fields of agriculture, forestry, and ecology. Spatially explicit monitoring of f c via relative vegetation abundance (RA) algorithms, especially those based on scaled maximum/minimum vegetation index (VI) values, has been widely investigated in remote sensing research. Although many studies have explored the effectiveness of RA algorithms over the past 30 years, a literature review summarizing the corresponding theoretical background, issues, current state-of-the-art techniques, challenges, and prospects has not yet been published. The overall objective of the present study was to accomplish a compre…

010504 meteorology & atmospheric sciencesResilient Livelihoods0211 other engineering and technologies02 engineering and technologyForests01 natural sciencesNormalized Difference Vegetation IndexArticleVegetation coverAbundance (ecology)Computers in Earth SciencesAdaptationEngineering (miscellaneous)Image resolution021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingMathematicsEstimationVegetationBiodiversity15. Life on landAtomic and Molecular Physics and OpticsComputer Science ApplicationsRemote sensing (archaeology)Vegetation IndexAlgorithm
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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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Transboundary Basins Need More Attention: Anthropogenic Impacts on Land Cover Changes in Aras River Basin, Monitoring and Prediction.

2020

Changes in land cover (LC) can alter the basin hydrology by affecting the evaporation, infiltration, and surface and subsurface flow processes, and ultimately affect river water quantity and quality. This study aimed to monitor and predict the LC composition of a major, transboundary basin contributing to the Caspian Sea, the Aras River Basin (ARB). To this end, four LC maps of ARB corresponding to the years 1984, 2000, 2010, and 2017 were generated using Landsat satellite imagery from Armenia and the Nakhchivan Autonomous Republic. The LC gains and losses, net changes, exchanges, and the spatial trend of changes over 33 years (1984–2017) were investigated. The most important drivers of the…

010504 meteorology & atmospheric sciencesScienceDrainage basinland change modelerLand cover010501 environmental sciencesStructural basin01 natural sciencesremote sensingHydrology (agriculture)Satellite imagerySubsurface flow0105 earth and related environmental sciences2. Zero hungergeographygeography.geographical_feature_categorybusiness.industryQ15. Life on land6. Clean wateranthropogenic impactsWater resourcesAras River Basin13. Climate actionAgriculturetransboundary basinGeneral Earth and Planetary SciencesEnvironmental scienceWater resource managementbusinessRemote sensing
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An assessment of the global impact of 21st century land use change on soil erosion

2017

Human activity and related land use change are the primary cause of accelerated soil erosion, which has substantial implications for nutrient and carbon cycling, land productivity and in turn, worldwide socio-economic conditions. Here we present an unprecedentedly high resolution (250 × 250 m) global potential soil erosion model, using a combination of remote sensing, GIS modelling and census data. We challenge the previous annual soil erosion reference values as our estimate, of 35.9 Pg yr−1 of soil eroded in 2012, is at least two times lower. Moreover, we estimate the spatial and temporal effects of land use change between 2001 and 2012 and the potential offset of the global application o…

010504 meteorology & atmospheric sciencesScienceGeneral Physics and AstronomyHigh resolution010501 environmental sciences01 natural sciencesArticleGeneral Biochemistry Genetics and Molecular BiologyAnthropogenic effect census conservation management environmental impact assessment GIS global perspective human activity land use change remote sensing soil conservation soil erosionSoutheast asiaCarbon cycleNutrientSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliLand use land-use change and forestrylcsh:Scienceskin and connective tissue diseases0105 earth and related environmental sciencesLand productivityMultidisciplinaryQGeneral ChemistryAgriculture and Soil ScienceReference valuesEnvironmental sciencelcsh:QPhysical geographysense organs
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Comparison of cloud-reconstruction methods for time series of composite NDVI data

2010

Land cover change can be assessed from ground measurements or remotely sensed data. As regards remotely sensed data, such as NDVI (Normalized Difference Vegetation Index) parameter, the presence of atmospherically contaminated data in the time series introduces some noise that may blur the change analysis. Several methods have already been developed to reconstruct NDVI time series, although most methods have been dedicated to reconstruction of acquired time series, while publicly available databases are usually composited over time. This paper presents the IDR (iterative Interpolation for Data Reconstruction) method, a new method designed to approximate the upper envelope of the NDVI time s…

010504 meteorology & atmospheric sciencesSeries (mathematics)0211 other engineering and technologiesSoil ScienceGeology02 engineering and technologyLand cover15. Life on land01 natural sciencesNormalized Difference Vegetation IndexBruit13. Climate actionCompositingmedicineEnvironmental scienceSatellite imageryNoise (video)Computers in Earth Sciencesmedicine.symptom021101 geological & geomatics engineering0105 earth and related environmental sciencesInterpolationRemote sensingRemote Sensing of Environment
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Historical analysis of rainfall-triggered rockfalls: the case study of the disaster of the ancient hydrothermal Sclafani Spa (Madonie Mts, northern-c…

2017

Abstract. In 1851, the region of Sicily experienced many rainstorm-induced landslides. On 13 March 1851, a rainstorm brought about a severe rockfall disaster near the small town of Sclafani (Madonie Mountains, northern-central Sicily, Italy). Rocks detached from the carbonate crest of Mt Sclafani (813 m above sea level) and fell downslope, causing the collapse of the ancient hydrothermal spa (about 430 m above sea level) and burying it. Fortunately, there were no injuries or victims. Given its geological, geomorphological and tectonic features, the calcareous–dolomitic and carbonate–siliciclastic relief of Mt Sclafani is extremely prone to landsliding. This study combines the findings of de…

010504 meteorology & atmospheric sciencesSettore GEO/04 - Geografia Fisica E GeomorfologiaClimate change010502 geochemistry & geophysics01 natural scienceslcsh:TD1-1066Extreme weatherRockfalllcsh:Environmental technology. Sanitary engineeringNatural disasterlcsh:Environmental sciencesSea level0105 earth and related environmental scienceslcsh:GE1-350geographygeography.geographical_feature_categorylcsh:QE1-996.5Global warminglcsh:Geography. Anthropology. RecreationLandslideLandslide rainfall rockfall thermal spring Sicilylcsh:GeologyTectonicslcsh:GGeneral Earth and Planetary SciencesPhysical geographyGeologyNatural Hazards and Earth System Sciences
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