Search results for " SENSING"

showing 10 items of 1517 documents

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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Emulation of Sun-Induced Fluorescence from Radiance Data Recorded by the HyPlant Airborne Imaging Spectrometer

2021

The retrieval of sun-induced fluorescence (SIF) from hyperspectral radiance data grew to maturity with research activities around the FLuorescence EXplorer satellite mission FLEX, yet full-spectrum estimation methods such as the spectral fitting method (SFM) are computationally expensive. To bypass this computational load, this work aims to approximate the SFM-based SIF retrieval by means of statistical learning, i.e., emulation. While emulators emerged as fast surrogate models of simulators, the accuracy-speedup trade-offs are still to be analyzed when the emulation concept is applied to experimental data. We evaluated the possibility of approximating the SFM-like SIF output directly based…

sif010504 meteorology & atmospheric sciencesprincipal component analysisComputer scienceSciencesun-induced fluorescenceMultispectral image0211 other engineering and technologiesImaging spectrometeremulation02 engineering and technology01 natural sciencesRobustness (computer science)emulation; machine learning; sun-induced fluorescence; sif; spectral fitting method (sfm); principal component analysis021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingEmulationDimensionality reductionQHyperspectral imagingspectral fitting method (sfm)machine learningPrincipal component analysisRadianceGeneral Earth and Planetary Sciencesddc:620Remote Sensing
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PQ and Harmonic Assessment Issues on Low-Cost Smart Metering Platforms: A Case Study

2020

This paper presents a feasibility study on how to implement power quality (PQ) metrics in a low-cost smart metering platform. The study is aimed at verifying the possibility of implementing PQ monitoring in distribution networks without replacing existing smart metering devices or adding new modules for PQ measurements, thus zeroing the installation costs. To this aim, an electronic board, currently used for remote energy metering, was chosen as a case study, specifically the STCOMET platform. Starting from the specifications of this device, the possibility of implementing power quality metrics is investigated in order to verify if compliance with standard requirements for PQ instruments ca…

smart meterSmart meterComputer science020209 energy02 engineering and technologylcsh:Chemical technologyBiochemistryArticleAnalytical Chemistry0202 electrical engineering electronic engineering information engineeringlcsh:TP1-1185Metering modeElectrical and Electronic EngineeringInstrumentationvoltage and current sensing020208 electrical & electronic engineeringpower qualityAtomic and Molecular Physics and OpticsCurrent transformerReliability engineeringTransducerEnergy meteringharmonic analysisHarmonicPower qualitySettore ING-INF/07 - Misure Elettriche E ElettronicheLow voltageVoltageSensors
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Antennal lobe representations are optimized when olfactory stimuli are periodically structured to simulate natural wing beat effects

2014

Animals use behaviors to actively sample the environment across a broad spectrum of sensory domains. These behaviors discretize the sensory experience into unique spatiotemporal moments, minimize sensory adaptation, and enhance perception. In olfaction, behaviors such as sniffing, antennal flicking, and wing beating all act to periodically expose olfactory epithelium. In mammals, it is thought that sniffing enhances neural representations; however, the effects of insect wing beating on representations remain unknown. To determine how well the antennal lobe produces odor-dependent representations when wing beating effects are simulated, we used extracellular methods to record neural units an…

sniffingPopulation Dynamicsactive sensingSensory systemodor representationLocal field potentialOlfactionBiologylcsh:RC321-57103 medical and health sciencesCellular and Molecular Neuroscience0302 clinical medicinetemporal codingSniffingmedicineOriginal Research Articlelcsh:Neurosciences. Biological psychiatry. Neuropsychiatry030304 developmental biologyDiscrimination (Psychology)Stimulus discrimination0303 health sciencesSensory AdaptationCommunicationbusiness.industrysynchronynetwork dynamicsmedicine.anatomical_structureOdoroscillationsAntennal lobebusinessNeuroscienceOlfactory epithelium030217 neurology & neurosurgeryNeuroscienceolfactionFrontiers in Cellular Neuroscience
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Soil moisture retrieval using crop water stress indicators

2008

soil moisture remote sensing stress index
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Assessing the performance of different model-based techniques to estimate water content in the upper soil layer

2016

he knowledge of soil water content (SWC) of the upper soil layer is important for most hydrological processes occurring over vegetated areas and under dry climate. Because direct field measurements of SWC are difficult, the use of different type of sensors and model-based approaches have been proposed and extensively used during the last decade. The main objective of this work is to assess the performance of two models estimating SWC of the upper soil layer: the transient line heat source method and the physically based Hydrus-1D model. The models' performance is assessed using field measurements acquired through a Time Domain Reflectometer (TDR). The experiment was carried out on an olive …

soil water content TDR Hydrus-1D KD2pro Remote Sensing Thermal Inertia
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