Search results for " mappe"

showing 7 items of 47 documents

Emissivity errors in the vegetation cover method caused by the lack of atmospheric correction

2008

The influence of the lack of atmospheric correction of the optical images used to calculate land surface emissivity (LSE) was assessed. When thermal emissivity is determined by the vegetation cover method (VCM), information from the solar spectrum is required to calculate the vegetation cover fraction. The atmospheric correction was obtained in this study by using a combination of the dark dense vegetation (DDV) method and the Second Simulation of the Satellite Signal in the Solar Spectrum (6S) code. The methodology was applied to a Landsat Thematic Mapper (TM) image of Tomelloso, Spain. We determined that the emissivity between 10 and 12 µm only increases by 0.4% (which represents a system…

Systematic errorThematic MapperSolar spectraAtmospheric correctionEmissivityGeneral Earth and Planetary SciencesEnvironmental scienceSatelliteVegetationVegetation coverRemote sensingInternational Journal of Remote Sensing
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Monitoring fire-affected areas using Thematic Mapper data

2001

In this paper three methods for updating inventories of burned areas have been presented and examined. They include Multitemporal Principal Component Analysis (MPCA), Change Vector Analysis (CVA) a...

Thematic MapperPrincipal component analysisGeneral Earth and Planetary SciencesEnvironmental scienceChange vector analysisCartographyRemote sensingInternational Journal of Remote Sensing
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Land surface temperature retrieval from LANDSAT TM 5

2004

In this paper, three methods to retrieve the land surface temperature (LST) from thermal infrared data supplied by band 6 of the Thematic Mapper (TM) sensor onboard the Landsat 5 satellite are compared. The first of them lies on the estimation of the land surface temperature from the radiative transfer equation using in situ radiosounding data. The others two are the mono-window algorithm developed by Qin et al. [International Journal of Remote Sensing 22 (2001) 3719] and the single-channel algorithm developed by Jime´nez-Mun˜oz and Sobrino [Journal of Geophysical Research 108 (2003)]. The land surface emissivity (LSE) values needed in order to apply these methods have been estimated from a…

Thermal infraredLans surface emissivityLand surface temperatureNear-infrared spectroscopyOtras Ciencias de la Tierra y relacionadas con el Medio AmbienteSoil ScienceGeologyLandsat 5Ciencias de la Tierra y relacionadas con el Medio AmbienteThematic MapperRadiative transferEmissivityEnvironmental scienceSatelliteComputers in Earth SciencesRoot-mean-square deviationLand Surface TemperatureCIENCIAS NATURALES Y EXACTASRemote sensing
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Comparaison de deux méthodes de correction atmosphérique des données thermiques de Landsat TM

1996

The high resolution of Landsat Thematic Mapper (TM) thermal infrared data can be interesting in applications such as energy balance and crop water stress studies. However, surface temperature measurements are strongly affected by atmospheric effects, particularly by water vapour absorption, therefore a correction method is absolutely necessary. The impossibility of applying a split-window equation and the difficulty of having temporarily coincident radiosondes produce a slight use of Landsat TM data to obtain surface temperature. Vidal et al. show that in a zone with homogeneous climatic conditions, atmospheric correction can be evaluated by using energy balance equation and standard meteor…

[SDE] Environmental SciencesCEMAGREFInfraredAtmospheric correctionEnergy balanceTemperature measurementMultispectral Scannerlaw.inventionNOAA-AVHRRlawThematic MapperRadiosondeRadiative transferPROJET EFEDAGeneral Earth and Planetary SciencesEnvironmental scienceESPAGNERemote sensingInternational Journal of Remote Sensing
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Mappe della contemporaneità. Visualizzare la complessità per vivere, comprendere, partecipare.

2020

Si propone una riflessione sulle modalità di visualizzazioni della complessità di contesti territoriali, rese possibili dalle tecnologie dell’informazione connesse agli open data; uno scenario che evidenzia la rilevanza oggi di strumenti e competenze del design della comunicazione e dell’informazione, proponendo una nuova centralità della “mappa”, strumento e modello contemporaneamente di conoscenza, rappresentazione e trasformazione del mondo. Il contributo indaga come le diverse declinazioni di visual mapping, che connettono un contesto reale fisico-geografico ai molteplici livelli di informazione disponibili, possono alimentare nei cittadini consapevolezza e partecipazione a supporto di …

complessità design partecipativo open data servizi digitali territoriali mappe visualicomplexity participatory design open data digital territorial services visual mappingSettore ICAR/13 - Disegno Industriale
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L'apprendimento attraverso le mappe concettuali

2015

Lo scopo della scuola non si riduce ad “allenare” e a misurare le abilità intellettuali degli alunni, perché essa ha la responsabilità di promuovere negli alunni l’autonomia intellettuale, che implica anche la capacità di autoregolare il proprio apprendimento. La carta vincente per assicurare il successo formativo degli alunni risiede nella capacità dei docenti di predisporre itinerari formativi che siano in grado di valorizzare la varietà delle caratteristiche personali degli alunni, i loro diversi modi di apprendere e potenziarne la riflessione metacognitiva. La didattica metacognitiva stimola l’alunno a pensare per suo conto e a sviluppare il suo senso critico; sviluppa la motivazione ad…

didattica metacognitiva mappe concettuali appremndimento significativoSettore M-PED/03 - Didattica E Pedagogia Speciale
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Perfect Hashing Structures for Parallel Similarity Searches

2015

International audience; Seed-based heuristics have proved to be efficient for studying similarity between genetic databases with billions of base pairs. This paper focuses on algorithms and data structures for the filtering phase in seed-based heuristics, with an emphasis on efficient parallel GPU/manycores implementa- tion. We propose a 2-stage index structure which is based on neighborhood indexing and perfect hashing techniques. This structure performs a filtering phase over the neighborhood regions around the seeds in constant time and avoid as much as possible random memory accesses and branch divergences. Moreover, it fits particularly well on parallel SIMD processors, because it requ…

parallelismSimilarity (geometry)OpenCLComputer scienceseed-based heuristicsHash functionSearch engine indexingGPUParallel computingData structureperfect hash functionPattern matchingSIMD[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]read mapperHeuristicsPerfect hash function2015 IEEE International Parallel and Distributed Processing Symposium Workshop
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