Search results for " Remote sensing"

showing 10 items of 128 documents

Use of Sentinel-2 Satellite for Spatially Variable Rate Fertiliser Management in a Sicilian Vineyard

2022

Satellites can be used for producing maps of within-field crop and soil parameters and, consequentially, spatially variable rate crop input application maps. The plant vegetative vigour index (i.e., Normalised Difference Vegetation Index—NDVI) and the leaf water content index (i.e., Normalised Difference Water Index—NDWI) maps were used to study—through both time and space—the phenological phases of two plots, with Syrah and Nero d’Avola grapevine varieties, in a Sicilian vineyard farm, located in Naro (Agrigento, Sicily, Italy). The aim of this work is to produce spatially variable rate nitrogen fertiliser maps to be applied in the two vineyard plots under stu…

Environmental effects of industries and plantsRenewable Energy Sustainability and the Environmenttemporal variabilityGeography Planning and DevelopmentSettore AGR/09 - Meccanica AgrariaTJ807-830Management Monitoring Policy and LawTD194-195Renewable energy sourcesEnvironmental sciencesremote sensingprecision viticulture; remote sensing; temporal variability; spatial variability; nitrogen spatially variable rate fertilisation; sustainable vineyard managementprecision viticulturespatial variabilityGE1-350sustainable vineyard managementnitrogen spatially variable rate fertilisationSustainability; Volume 14; Issue 3; Pages: 1688
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Etna International Training School of Geochemistry, 2018. Science meets practice.

2018

Mount Etna, located in eastern Sicily, is the largest stratovolcano in Europe and one of the most intensely degassing volcanoes of the world (Allard et al., 1991; Gerlach, 1991). In particular, previous estimates highlighted that Mt Etna emits about 1.6 % of global H2O fluxes from arc volcanism (Aiuppa et al., 2008) and 10 % of global average volcanic emission of CO2 and SO2 (D’Alessandro et al., 1997; Caltabiano et al., 2004). Furthermore, Gauthier and Le Cloarec (1998) underscored that Mt. Etna is an important source of volcanic particles, having a mass flux of particle passively released from the volcano during non-eruptive period estimated between 7 to 23 tons/day (Martin et al., 2008; …

Etna training school direct sampling remote sensingSettore GEO/08 - Geochimica E Vulcanologia
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Analysis of the energetic flows through the sebal application to the assessment of the actual evapotranspiration in a Napa Valley vineyard California…

2009

The use of water resources is constantly growing in agriculture industry and the reduction of the this resource is due by both anthropogenic and climate factors. Under this perspective it is necessary to develop monitoring systems able to forecast the consumption of water. The knowledge of the actual water demand of a crop is therefore strategic for the rational use of resources and to improve the quality of the crop production. Recent applications of remote sensing in agriculture provide a valuable contribution to release this purpose, besides the integration of remotely sensed data with measures retrieved by meteorological stations allows the development of models able to estimate the act…

Evapostranspiration Remote Sensing Viticulture Energy Balance
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A Deep Network Approach to Multitemporal Cloud Detection

2018

We present a deep learning model with temporal memory to detect clouds in image time series acquired by the Seviri imager mounted on the Meteosat Second Generation (MSG) satellite. The model provides pixel-level cloud maps with related confidence and propagates information in time via a recurrent neural network structure. With a single model, we are able to outline clouds along all year and during day and night with high accuracy.

FOS: Computer and information sciencesComputer Science - Machine Learning010504 meteorology & atmospheric sciencesComputer scienceFeature extraction0211 other engineering and technologiesCloud detectionFOS: Physical sciencesCloud computing02 engineering and technologyCloud detection01 natural sciencesMachine Learning (cs.LG)Laboratory of Geo-information Science and Remote SensingLaboratorium voor Geo-informatiekunde en Remote Sensing021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingbusiness.industrySeviriDeep learningDeep learningPE&RCPhysics - Atmospheric and Oceanic PhysicsRecurrent neural networkRecurrent neural networksAtmospheric and Oceanic Physics (physics.ao-ph)Convolutional neural networksSatelliteArtificial intelligencebusinessNetwork approachIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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Remote sensing and climate data as a key for understanding fasciolosis transmission in the Andes: review and update of an ongoing interdisciplinary p…

2006

Fasciolosis caused by Fasciola hepatica in various South American countries located on the slopes of the Andes has been recognized as an important public health problem. However, the importance of this zoonotic hepatic parasite was neglected until the last decade. Countries such as Peru and Bolivia are considered to be hyperendemic areas for human and animal fasciolosis, and other countries such as Chile, Ecuador, Colombia and Venezuela are also affected. At the beginning of the 1990s a multidisciplinary project was launched with the aim to shed light on the problems related to this parasitic disease in the Northern Bolivian Altiplano. A few years later, a geographic information system (GIS…

FascioliasisHealth (social science)Geographic information systemAdvanced very-high-resolution radiometerGeography Planning and DevelopmentMedicine (miscellaneous)lcsh:G1-922Risk Assessmentfasciolosis geographic information system climatic forecast indices remote sensing data Andes.Normalized Difference Vegetation IndexTropical climatemedicineAnimalsHumansFasciolosisRemote sensinggeographyTropical Climategeography.geographical_feature_categorybusiness.industryHealth PolicyFasciola hepaticaSouth Americamedicine.diseaseRemote sensing (archaeology)Epidemiological MonitoringGeographic Information SystemsInterdisciplinary CommunicationEpidemiological MonitoringbusinessMountain rangelcsh:Geography (General)Environmental MonitoringProgram EvaluationGeospatial Health
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Novel leaf-level measurements of chlorophyll fluorescence for photosynthetic efficiency

2015

Solar induced chlorophyll fluorescence (SIF) from vegetation can now be obtained from satellites as well as ground-based field studies, at select wavelengths associated with atmospheric features. At the leaf level, full spectrum (650–800 nm) chlorophyll emissions (ChlF) can be measured using specialized instrumentation to support interpretation of these SIF observations. We found that ChlF spectra differ for leaf bottoms versus upper leaf surfaces, potentially affecting within-canopy radiative scattering. Our ChlF measurements for leaves of eight tree species (n≥125) obtained during fall 2013 senescence at the Duke Forest in North Carolina, USA and the 2014 growing season (n=72) at the USDA…

Fluorescence Geophysical measurements Indexes Reflectivity Remote sensing Vegetation Vegetation mappingGrowing seasonVegetationPhotosynthetic efficiencyPhotochemical Reflectance Indexchemistry.chemical_compoundHorticultureGEO/10 - GEOFISICA DELLA TERRA SOLIDAchemistryChlorophyllRadiative transferEnvironmental scienceTree speciesChlorophyll fluorescenceRemote sensing
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REMOTE SENSING ANALYSIS COUPLED TO FIELD MEASUREMENTS FOR THE EVALUATION OF METHANE EMISSIONS FROM A LANDFILL SITE: A CASE STUDY

2015

SUMMARY: the waste disposal in sanitary landfills generates landfill gas (LFG), mainly constituted by methane (CH4) and carbon dioxide (CO2), because of the anaerobic degradation of the organic matter contained in the disposed waste. It is worth mentioning that CH4 is recognized as one of the most important contributor to global warming and sanitary landfills for Municipal Solid Waste (MSW) have been found to be a significant source of CH4 generation and emission. The main aim of the present work was the evaluation of methane emissions from a Sicilian landfill site by coupling of direct field measurements and ground temperature data acquired through remote sensing techniques. It is worth me…

Flux Chamber.Settore ICAR/03 - Ingegneria Sanitaria-AmbientaleMethane Emission Remote Sensing
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Precision Oliviculture: Research Topics, Challenges, and Opportunities—A Review

2022

Since the beginning of the 21st century, there has been an increase in the agricultural area devoted to olive growing and in the consumption of extra virgin olive oil (EVOO). The continuous change in cultivation techniques implemented poses new challenges to ensure environmental and economic sustainability. In this context, precision oliviculture (PO) is having an increasing scientific interest and impact on the sector. Its implementation depends on various technological developments: sensors for local and remote crop monitoring, global navigation satellite system (GNSS), equipment and machinery to perform site-specific management through variable rate application (VRA), implementation of g…

General Earth and Planetary Sciencesolive tree management precision farming remote sensing proximal sensing precision irrigation precision fertilization variable rate application smart farming precision olivicultureRemote Sensing
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CALYPSO, a permanent and operational network of High-Frequency radar observing systems for real-time monitoring of surface currents in the Malta-Sici…

2014

Illegal migration often results in dramatic loss of lives that can be avoided with timely Search and Rescue (SAR) interventions; such SAR services require accurate information such as on sea-state and operational tools such as trajectory forecasting for floating objects at sea. The maritime transport of oil crossing this region accounts for 25% of the global maritime traffic and for nearly 7% of the world oil accidents over the last 25 years. In combination with localized oil extraction plants existing in the shelf zones this situation presents a serious threat to both the open-sea and coastal-zone habitats, with consequent impacts on local economic activities as tourism and fisheries, impa…

HF Radar sea surface currents remote sensingSettore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologia
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Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods – A comparison

2015

Abstract Given the forthcoming availability of Sentinel-2 (S2) images, this paper provides a systematic comparison of retrieval accuracy and processing speed of a multitude of parametric, non-parametric and physically-based retrieval methods using simulated S2 data. An experimental field dataset (SPARC), collected at the agricultural site of Barrax (Spain), was used to evaluate different retrieval methods on their ability to estimate leaf area index (LAI). With regard to parametric methods, all possible band combinations for several two-band and three-band index formulations and a linear regression fitting function have been evaluated. From a set of over ten thousand indices evaluated, the …

HeteroscedasticityMean squared errorEconomicsComputer scienceImage processingBiophysical variablessymbols.namesakeLaboratory of Geo-information Science and Remote SensingMachine learningStatisticsLinear regressionLaboratorium voor Geo-informatiekunde en Remote SensingComputers in Earth SciencesParametricEngineering (miscellaneous)Gaussian processPhysically-based RTM inversionParametric statisticsPhysicsNonparametric statisticsPE&RCNon-parametricAtomic and Molecular Physics and OpticsComputer Science ApplicationsLookup tablesymbolsSentinel-2Engineering sciences. TechnologyAlgorithmISPRS Journal of Photogrammetry and Remote Sensing
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