0000000000329417

AUTHOR

Christopher M. U. Neale

showing 7 related works from this author

Mapping evapotranspiration on vineyards: A comparison between Penman-Monteith and energy balance approaches for operational purposes

2012

Estimation of evapotranspiration (ET) in Sicilian vineyard is an emerging issue since these agricultural systems are more and more converted from rainfed to irrigated conditions, with significant impacts on the management of the scarce water resources of the region. The choice of the most appropriate methodology for assessing water use in these systems is still an issue of debating, due to the complexity of canopy and root systems and for their high spatial fragmentation. In vineyards, quality and quantity of the final product are dependent on the controlled stress conditions to be set trough irrigation. This paper reports an application of the well-known Penman-Monteith approach, applied i…

Evapotranspirationevapotranspiration vineyards Penman-Monteith energy balance leaf water potential.Multispectral imageSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaPenman-MonteithSpectral bandsEnergy balanceAlbedoLeaf water potentialVineyardsNormalized Difference Vegetation IndexGeographyEvapotranspirationSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliLeaf area indexPenman–Monteith equationImage resolutionSettore ICAR/06 - Topografia E CartografiaRemote sensing
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Coupling SAR X-band and optical data for NDVI retrieval: model calibration and validation on two test areas

2013

Sustainability of modern agro-hydrology requires the knowledge of spatial and temporal variability of vegetation biomass to optimize management of land and water resources. Diversely from optical imaging, temporal resolution of active sensors, such as SAR, is not limited by sky cloudiness; thus, they may be combined with optical imageries to provide a more continuous monitoring of land surfaces. Several new SAR missions (e.g., ALOS-PALSAR, COSMO-SkyMed 1 and 2, TerraSAR-X, TerraSAR-X2, Sentinel 1) acquiring at X-, C- and L-bands and dual polarization capability, are characterized by a short revisit time (from 12 h to ~10 days) and high spatial resolution (<20 m). These satellites could prov…

Synthetic aperture radarL bandMeteorologyBackscatterCloud covermedia_common.quotation_subjectSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaContinuous monitoringRadar backscatteringNormalized Difference Vegetation IndexNDVI cross-polarized backscattering DEIMOS-1 COSMO-SkyMed Landsat 7 SCL-offGeographySkyTemporal resolutionSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliSettore ICAR/06 - Topografia E Cartografiamedia_commonRemote sensingvegetation index
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Twenty-three unsolved problems in hydrology (UPH) – a community perspective

2019

Publisher's version (útgefin grein)

hydrology science questions research agenda interdisciplinary knowledge gaps0208 environmental biotechnologyUT-Hybrid-DWASShydrology02 engineering and technologyOceanografi hydrologi och vattenresurserHydrology and Quantitative Water ManagementOceanography Hydrology and Water ResourcesQEÞekking910 Geography & travelVDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Hydrologi: 454ComputingMilieux_MISCELLANEOUSmedia_commonWater Science and Technologyknowledge gap[SHS.SOCIO]Humanities and Social Sciences/SociologyVDP::Landbruks- og Fiskerifag: 900Hydroglogy6. Clean waterJustice and Strong InstitutionsTASpitescience questionsDisciplineHydrologie en Kwantitatief Waterbeheerhydrology;science questions;research agenda;knowledge gaps;interdisciplinarySDG 16 - PeaceProcess (engineering)media_common.quotation_subjectHidrologiaVatnafræðiresearch agendaContext (language use)Digital mediaknowledge gapsITC-HYBRID[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrologyhydrology; science questions; research agenda; interdisciplinary; knowledge gapsHydrologyWIMEKhydrology; interdisciplinary; knowledge gaps; research agenda; science questionsbusiness.industrySDG 16 - Peace Justice and Strong InstitutionsPublic consultationRannsóknir500 ScienceBodemfysica en Landbeheer/dk/atira/pure/sustainabledevelopmentgoals/peace_justice_and_strong_institutions[SDE.ES]Environmental Sciences/Environmental and SocietyWater Resources Management020801 environmental engineeringSoil Physics and Land ManagementSocio-hydrologyITC-ISI-JOURNAL-ARTICLEinterdisciplinaryAðferðafræðibusinessDiversity (politics)
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Front Matter: 7472

2009

Engineeringbusiness.industryOptical engineeringbusinessEngineering physicsSPIE Proceedings
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Enhancing TIR Image Resolution via Bayesian Smoothing for IRRISAT Irrigation Management Project

2013

Accurate estimation of physical quantities depends on the availability of High Resolution (HR) observations of the Earth surface. However, due to the unavoidable tradeoff between spatial and time resolution, the acquisition instants of HR data hardly coincides with those required by the estimation algorithms. A possible solution consists in constructing a synthetic HR observation at a given time k by exploiting Low Resolution (LR) and HR data acquired at different instants. In this work we recast this issue as a smoothing problem, thus focusing on cases in which observations acquired both before and after time k are available. The proposed approach is validated on a region of interest for t…

EstimationIrrigation Managementbusiness.industrySettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaBrightness TemperatureBayesian SmoothingThermal SharpeningBayesian smoothingGeographyRegion of interestMultitemporal AnalysiKey (cryptography)thermal infraredComputer visionArtificial intelligencebusinessIrrigation managementImage resolutionAlgorithmMultisensor Data FusionSmoothingSettore ICAR/06 - Topografia E CartografiaPhysical quantity
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Vegetation index retrieval by coupling optical and SAR images

2012

Monitoring spatial and temporal variability of Vegetation Indices (VIs) is important to manage land and water resources, with significant impact on the sustainability of modern agriculture Although algorithms based on optical data give accurate products, cloud cover dramatically reduces the temporal resolution of these outputs. The launch of new Synthetic Aperture Radar (SAR) constellations such as COSMO-Skymed opened new opportunities to develop agro-hydrological applications. Indeed, these satellites may represent a suitable source of data for operational applications due to their high spatial and temporal resolutions (10 m in StripMap PingPong acquisition mode, best revisit time with 4 s…

Synthetic aperture radarMeteorologyBackscatterCloud coverSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaX bandLand coverNormalized Difference Vegetation IndexGeographyTemporal resolutionSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliImage resolutionSettore ICAR/06 - Topografia E CartografiaRemote sensingNDVI crossed-polarized backscattering DEIMOS COSMO-Skymed
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Soil water content monitoring: a verification of thermal inertia approaches on low spatial, high temporal resolutions images

2013

Soil water content is directly connected with soil evaporation and plant transpiration processes; in particular, soil water content within the root zone, is readily available to evapotranspiration. Thus, in agricultural sciences, the assessment of the spatial distribution of soil water content could be of utmost importance in evaluating crop water requirement. In spite of limitations to applicability due to contingent cloud cover, water content of the upper part of the soil can be determined by applying the thermal inertia approach by coupling optical and thermal infrared images. The thermal inertia formulation, rigorously retrieved on bare soil, has been also verified on soils partially co…

Cloud coverSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaSoil scienceVegetationSoil water contentSpatial distributionPhase differenceSoil thermal propertiesGeographyMODISEvapotranspirationSoil waterSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliWater contentThermal inertiaSettore ICAR/06 - Topografia E CartografiaRemote sensingTranspirationRemote Sensing for Agriculture, Ecosystems, and Hydrology XV
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