Search results for "Sensing"

showing 10 items of 1698 documents

Análisis de técnicas de “aggregation”/“disaggregation” aplicadas a imágenes satélite para la estimación de parámetros térmicos superficiales a difere…

2023

Las aplicaciones que implican la observación de la superficie terrestre desde plataformas satélites a escala inferior a la regional, como por ejemplo, el caso del seguimiento de cultivos, requieren de una mayor disponibilidad de información térmica, en particular de la temperatura de la superficie terrestre (LST), con resoluciones espaciales apropiadas para un alcance local. Por ello, numerosos autores han propuesto y desarrollado métodos para extraer la LST a nivel “subpíxel”, mediante el empleo de productos complementarios de teledetección, con resultados adecuados para su uso en resoluciones superiores. La mayoría de estos métodos se basan en la correlación entre índices de vegetación, c…

remote sensingmachine learningdisaggregationland surface temperaturedeep learningUNESCO::FÍSICA::TermodinámicaUNESCO::CIENCIAS DE LA TIERRA Y DEL ESPACIO::Geología::Teledetección (geología)UNESCO::MATEMÁTICAS::Ciencia de los ordenadores::Inteligencia artificial
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HYPERBLEND: SIMULATING SPECTRAL REFLECTANCE AND TRANSMITTANCE OF LEAF TISSUE WITH BLENDER

2022

Abstract. Remotely sensing vegetation condition and health hazards requires modeling the connection of plants’ biophysical and biochemical parameters to their spectral response. Even though many models exist already, the field suffers from lack of access to program code. In this study, we will assess the feasibility of open-source 3D-modeling and rendering software Blender in simulating hyperspectral reflectance and transmittance of leaf tissue to serve as a base for a more advanced large-scale simulator. This is the first phase of a larger HyperBlend project, which will provide a fully open-source, canopy scale leaf optical properties model for simulating remotely sensed hyperspectral imag…

remote sensingopen sourceavoin lähdekoodiray tracinghyperspectral imagingreflektanssisimulointikasvillisuuskaukokartoitusleaf optical properties model3D-mallinnussimulationhyperspektrikuvantaminen
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IMPIEGO DEL CONTENUTO IDRICO DEL SUOLO E DEL DEFLUSSO SUPERFICIALE PER LA STIMA DELLA PERDITA DI SUOLO PARCELLARE A SCALA DI EVENTO

2016

Nel presente lavoro viene valutata la potenzialità di accoppiare la USLE con il contenuto d’acqua del suolo pre-evento o il deflusso stimato, per migliorare l’accuratezza della stima della perdita di suolo a scala di singolo evento erosivo. A tale scopo sono stati utilizzati due approcci per i quali la perdita di suolo e il fattore di erosività sono legati da una legge di potenza. Il primo è il modello USLE-MM con deflusso stimato da un modello afflussi deflussi, SCRRM, che importa dati di contenuto d’acqua. Il secondo approccio è quello del modello SM4E che utilizza i dati di contenuto d’acqua pre-evento per correggere il fattore di erosività della pioggia. I due modelli sono stati testati…

remote sensingsoil erosionmodelli idrologicideflusso parcellareSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestalirunoffcontenuto idrico del suolosoil moistureperdita di suolo parcellaresoil erosion runoff soil moisture remote sensing
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High-spectral-resolution Fabry-Pérot interferometers overcome fundamental limitations of present volcanic gas remote sensing techniques

2023

Remote sensing (RS) of volcanic gases has become a central tool for studying volcanic activity. For instance, ultraviolet (UV) skylight spectroscopy with grating spectrographs (GS) enables SO2 (and, under favourable conditions, BrO) quantification in volcanic plumes from autonomous platforms at safe distances. These measurements can serve volcanic monitoring and they cover all stages of volcanic activity in long measurement time series, which substantially contributes to the refinement of theories on volcanic degassing. Infrared (IR) remote sensing techniques are able to measure further volcanic gases (e.g., HF, HCl, CO2, CO). However, the employed Fourier transform spectrometers (FTSs) are…

remote sensingspectroscopyhydroxyl radicalvolcanic gasesFabry-Perot interferometerhalogensGeneral Earth and Planetary SciencesSettore GEO/08 - Geochimica E VulcanologiaFrontiers in Earth Science
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Aquatic macrophytes in status assessment and monitoring of boreal lakes

2012

remote sensingsurvey methodsWater Framework Directivelimnologiavesistönkuormistusvesikasvitvedenlaatujärvetvesikasvillisuus
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Proposing a Novel Predictive Technique for Gully Erosion Susceptibility Mapping in Arid and Semi-arid Regions (Iran)

2019

© 2019 by the authors. Gully erosion is considered to be one of the main causes of land degradation in arid and semi-arid territories around the world. In this research, gully erosion susceptibility mapping was carried out in Semnan province (Iran) as a case study in which we tested the efficiency of the index of entropy (IoE), the Vlse Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method, and their combination. Remote sensing and geographic information system (GIS) were used to reduce the time and costs needed for rapid assessment of gully erosion. Firstly, a gully erosion inventory map (GEIM) with 206 gully locations was obtained from various sources and randomly divided into t…

remote sensingsustainable developmentgully erosionland degradationstatistical modelland managementlcsh:Qlcsh:ScienceRemote Sensing
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Fundamentals of Precision Agriculture

2023

Precision agriculture or precision farming is the targeted application of crop input according to the locally determined crop needs. Therefore, it is the geo-referenced application of crop inputs, whose rates should be those required by the crop. The most essential points of information about the topic being described are: overview; brief history of precision agriculture; theoretical basics of precision agriculture; precision agriculture cycle; geo-referenced measurement of within-field parameters; analysis and interpretation of geo-referenced data for mapping within-field parameters; spatially variable rate application of crop inputs; instruments for precision agriculture; current scenario…

remote sensingwithin-field spatial variabilityGNSSguidance systems of agricultural machinesSettore AGR/09 - Meccanica Agrariaproximal sensorsetting up and control deviceGIScrop inputenvironmental protectionwithin-field crop and soil parameter
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Assessment of Sentinel-2-MSI Atmospheric Correction Processors and In Situ Spectrometry Waters Quality Algorithms

2022

The validation of algorithms developed from in situ reflectance to estimate water quality variables has the challenge of atmospheric correction (AC) when applied to satellite images. Estimating water quality variables from satellite images requires an accurate estimation of remote sensing reflectances (Rrs) which vary according to the AC applied. Validation processes for both Rrs and water quality algorithms were carried out, relating the in situ Rrs (convoluted to Sentinel-2-MSI spectral response function) with the satellite Rrs coming from different ACs (C2RCC, C2X, C2XC, and Polymer), and also relating the in situ water quality variable data with estimated water quality variable values, …

remote sensing; C2RCC; C2X; C2XC; Polymer; Secchi disk depth; total suspended solids; CDOM; chlorophyll a; phycocyaninGeneral Earth and Planetary SciencesRemote Sensing
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On the use of multi-temporal series of COSMO-SkyMed data for LANDcover classification and surface parameter retrieval over agricultural sites

2011

The objective of this paper is to report on the activities carried out during the first year of the Italian project “Use of COSMO-SkyMed data for LANDcover classification and surface parameters retrieval over agricultural sites” (COSMOLAND), funded by the Italian Space Agency. The project intends to contribute to the COSMO-SkyMed mission objectives in the agriculture and hydrology application domains.

retrieval algorithmsContextual image classificationbusiness.industryCOSMO-SkyMedCOSMO-SkyMed classification retrieval algorithmsClassificationData modelingStatistical classificationHydrology (agriculture)AgricultureClassification; COSMO-SkyMed; retrieval algorithmsEnvironmental scienceTerrain mappingbusinessRetrieval algorithmRemote sensing
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The potential of γ-ray spectroscopy for soil proximal survey in clayey soils Le potentiel de la spectroscopie a rayons-γ lors de l’echantillonnage pe…

2013

La spettroscopia di raggi-γ misura la distribuzione e l’intensità della radiazione gamma emessa naturalmente dai suoli o dalle rocce. I radionuclidi più importanti nel suolo come fonte di raggi gamma sono: 40K, 232Th, 238U ed 137Cs, quest’ultimo di origine artificiale, principalmente legato all’esplosione di Chernobyl o ad inquinamenti radioattivi. La distribuzione e la quantità di questi radionuclidi è strettamente dipendente dalla mineralogia del parent material e dalla capacità di scambio cationico del suolo. Scopo di questo lavoro è quello di mostrare le potenzialità di un rilevamento prossimale con spettroscopia di raggi-γ in campi sperimentali con suoli argillosi della Sicilia occiden…

rilevamento prossimale radiometria cartografia pedologica stock di carbonio agricoltura di precisioneSettore AGR/14 - Pedologiasoil proximal sensing radiometry soil mapping carbon stock precision agricultureéchantillonnage proximal radiométrie cartes des sols stock de carbone agriculture de précision
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