Search results for "Land cover"

showing 10 items of 149 documents

Carbon Stocks in Peri-Urban Areas: A Case Study of Remote Sensing Capabilities

2014

Peri-urban areas are the extension of cities into contiguous areas, where households and farms coexist. Carbon stocks (CSs) assessment, a concept here extended to urban features, has not yet been studied in depth over peri-urban areas due to uncertainties in such CSs quantification, level of detail required about construction materials, and the high spatial variability of those stocks. Remote sensing (RS)-based techniques have been successfully utilized in urban areas for assessing phenomena such as soil sealing, sprawl patterns, and dynamics of surface imperviousness, especially focusing on land cover classification at high to medium spatial scales. Over the floodplain study area of Emilia…

Atmospheric Scienceremote sensing (RS)peri-urban areacarbon stockperi-urban areasUrban sprawlLandsat; carbon stocks; peri-urban areasCascading Style SheetsLand coverSettore ICAR/21 - UrbanisticaSettore AGR/02 - Agronomia E Coltivazioni ErbaceeWeightingSettore AGR/14 - PedologiaCarbon stocks (CSs)Soil waterImpervious surfaceEnvironmental scienceSpatial variabilitySatelliteComputers in Earth SciencesLandsatcomputerRemote sensingcomputer.programming_languageIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Analysis of broadband surface BRDFs derived from TOA SW CERES measurements for surfaces classified by the IGBP land cover

2012

Most studies on the reflectance properties of the Earth's surface are addressed estimating the bidirectional reflectance distribution function (BRDF) of high spatial resolution and high spectral resolution satellite measurements. This article assesses the development of broadband (BB) BRDFs from radiances corresponding to large footprints classified according to the International Geosphere-Biosphere Programme (IGBP) land-cover classification. Top-of-atmosphere (TOA) shortwave (SW) CERES (Clouds and the Earth's Radiant Energy System) measurements are employed to invert the bidirectional reflectance factor (BRF) Rahman–Pinty–Verstraete (RPV) model for regions identified with the same IGBP typ…

Atmospheric radiative transfer codesComputationParametric modelGeneral Earth and Planetary SciencesRadiant energyEnvironmental scienceBidirectional reflectance distribution functionLand coverSpectral resolutionAtmospheric sciencesShortwaveRemote sensingInternational Journal of Remote Sensing
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Monitoring daily evapotranspiration at a regional scale from Landsat-TM and ETM+ data: Application to the Basilicata region

2008

Summary The increasing interest of hydrological, climatic and meteorological models in the different components of the surface energy balance has encouraged the development of operational methods for estimating surface energy fluxes at a regional scale. In this paper, a sequence of three high-resolution satellite-based surface energy fluxes images are analyzed over an extensive area with a large variety of land uses. Two images from Landsat 7-ETM+ (1999, 2002) and one from Landsat 5-TM (2004) are collected covering the whole Basilicata region (Southern Italy). A Simplified version of a Two-Source Energy Balance (STSEB) model is used to retrieve the surface sensible heat flux. A balance betw…

Atmospheric radiative transfer codesMODTRANEvapotranspirationEnergy balanceEnvironmental scienceSatelliteLand coverSensible heatScale (map)Water Science and TechnologyRemote sensingJournal of Hydrology
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L-Band Vegetation optical depth and effective scattering albedo estimation from SMAP

2017

Abstract Over land the vegetation canopy affects the microwave brightness temperature by emission, scattering and attenuation of surface soil emission. Attenuation, as represented by vegetation optical depth (VOD), is a potentially useful ecological indicator. The NASA Soil Moisture Active Passive (SMAP) mission carries significant potential for VOD estimates because of its radio frequency interference mitigation efforts and because the L-band signal penetrates deeper into the vegetation canopy than the higher frequency bands used for many previous VOD retrievals. In this study, we apply the multi-temporal dual-channel retrieval algorithm (MT-DCA) to derive global VOD, soil moisture, and ef…

BrightnessL band010504 meteorology & atmospheric sciencesAttenuation0211 other engineering and technologiesSoil ScienceGeology02 engineering and technologyLand coverAlbedo01 natural sciencesRadiació MesuramentBrightness temperatureSoil waterEnvironmental scienceVegetacióComputers in Earth SciencesWater contentImatges Processament021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing
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A generalized soil-adjusted vegetation index

2002

Operational monitoring of vegetative cover by remote sensing currently involves the utilisation of vegetation indices (VIs), most of them being functions of the reflectance in red (R) and near-infrared (NIR) spectral bands. A generalized soil-adjusted vegetation index (GESAVI), theoretically based on a simple vegetation canopy model, is introduced. It is defined in terms of the soil line parameters (A and B) as: GESAVI=(NIRBRA)/(R+Z), where Z is related to the red reflectance at the cross point between the soil line and vegetation isolines. As Z is a soil adjustment coefficient, this new index can be considered as belonging to the SAVI family. In order to analyze the GESAVI sensitivity to s…

BrightnessSoil ScienceGeologyRadiosity (computer graphics)Enhanced vegetation indexSpectral bandsLand coverComputers in Earth SciencesVegetation IndexNormalized Difference Vegetation IndexSoil colorRemote sensingMathematicsRemote Sensing of Environment
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Factors Influencing Soil Organic Carbon Stock Variations in Italy During the Last Three Decades

2010

Soils contain about three times the amount of carbon globally available in vegetation, and about twice the amount in the atmosphere. However, soil organic carbon (SOC) has been reduced in many areas, while an increase in atmospheric CO2 has been detected. Recent research works have shown that it is likely that past changes in land use history and land management were the main reasons for the loss of carbon rather than higher temperatures and changes of precipitation resulting from climate change. The primary scope of this work was to estimate soil organic carbon stock (CS) variations in Italy during the last three decades and to relate them to land use changes. The study was also aimed at f…

Carbon sequestrationLand useLand managementSoil scienceLand coverSoil carbonPedogenesisSettore AGR/14 - PedologiaSoil waterFactor of pedogenesiMultiple regressionEnvironmental scienceLand use changeWater contentUSDA soil taxonomy
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Multi-temporal analysis of MODIS Land Products over the Amazon region

2012

In a global warming scenario there is an increase interest in examining climate trends at specific biomes such as the tropical rainforest biome. The Amazonian region is the largest carbon sink, so changes in this area are expected to have a direct impact over the climate change. In this work we analyse the temporal evolution (trends and anomalies) of different land parameters from 2001 to 2010 over the Amazonian forest. For this purpose, we used Moderate Resolution Imaging Spectroradiometer (MODIS) Land Products at 0.05° latitude/longitude Climate Modeling Grid (CMG), namely, combined Terra/Aqua 16-day Albedo (MCD43C3), Terra monthly Land Surface Temperature & Emissivity (MOD11C3), Terra mo…

ClimatologyGlobal warmingBiomeEnvironmental scienceClimate changeClimate modelLand coverModerate-resolution imaging spectroradiometerVegetationAlbedo2012 IEEE International Geoscience and Remote Sensing Symposium
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Construcción de una tipología rural/urbana para los municipios españoles

2016

[ES] Este artículo pretende establecer criterios para delimitar de modo riguroso qué es lo que constituye un territorio rural o urbano, dadas las limitaciones de las metodologías tradicionales. En segundo lugar, se propone una tipología rural/urbana a escala municipal para España tomando en consideración tres criterios: la demografía —combinando densidades con umbrales mínimos de población— la información sobre coberturas y usos del suelo y el grado de accesibilidad desde el mundo rural a las ciudades. El resultado es el establecimiento de seis tipos distintos de municipios.

Cobertura del suelo: accesibilidad ruralLand cover: rural accessibilityaccesibilidad rural [Cobertura del suelo]GeografíaGeographyEconomicsrural accessibility [Land cover]INGENIERIA DEL TERRENOPopulation gridEconomíaSociologyMunicipisTipología rural/urbanaGrid de poblaciónSociologíaRural/urban typology
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Conventional and fuzzy comparisons of large scale land cover products: Application to CORINE, GLC2000, MODIS and GlobCover in Europe

2012

One of the major drawbacks of land cover products is the lack of interoperability among them. Since their development was driven by different national or international initiatives, they were developed for different purposes and hold diverse technical characteristics. Thus, comparison among products and quality monitoring is necessary in assessing their usefulness. This paper provides a methodology to compare global land cover maps that allows for differences in legend definitions among products. Two different approaches were considered for map comparison, a Boolean approach and a new methodology based on fuzzy set theory in which the Land Cover Classification System (LCCS) acted as a genera…

Computer scienceInteroperabilityFuzzy setLand covercomputer.software_genreFuzzy logicAtomic and Molecular Physics and OpticsComputer Science ApplicationsSet (abstract data type)Consistency (database systems)Identification (information)Data miningComputers in Earth SciencesScale (map)Engineering (miscellaneous)computerISPRS Journal of Photogrammetry and Remote Sensing
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A Comparison of Advanced Regression Algorithms for Quantifying Urban Land Cover

2014

Quantitative methods for mapping sub-pixel land cover fractions are gaining increasing attention, particularly with regard to upcoming hyperspectral satellite missions. We evaluated five advanced regression algorithms combined with synthetically mixed training data for quantifying urban land cover from HyMap data at 3.6 and 9 m spatial resolution. Methods included support vector regression (SVR), kernel ridge regression (KRR), artificial neural networks (NN), random forest regression (RFR) and partial least squares regression (PLSR). Our experiments demonstrate that both kernel methods SVR and KRR yield high accuracies for mapping complex urban surface types, i.e., rooftops, pavements, gras…

Computer scienceLand coverimaging spectrometrysub-pixel mappingKernel (linear algebra)urban land coverPartial least squares regressionlcsh:Sciencespatial resolutionHyMapRemote sensingmachine learning; regression; sub-pixel mapping; spatial resolution; imaging spectrometry; hyperspectral; urban land coverTraining setArtificial neural networkbusiness.industryHyperspectral imagingPattern recognitionRandom forestSupport vector machineKernel methodmachine learninghyperspectralKernel (statistics)General Earth and Planetary Sciencesregressionlcsh:QArtificial intelligencebusinessRemote Sensing
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