0000000000288593

AUTHOR

Eyal Ben Dor

0000-0001-6757-3530

showing 2 related works from this author

On the use of unmanned aerial systems for environmental monitoring

2018

[EN] Environmental monitoring plays a central role in diagnosing climate and management impacts on natural and agricultural systems; enhancing the understanding of hydrological processes; optimizing the allocation and distribution of water resources; and assessing, forecasting, and even preventing natural disasters. Nowadays, most monitoring and data collection systems are based upon a combination of ground-based measurements, manned airborne sensors, and satellite observations. These data are utilized in describing both small-and large-scale processes, but have spatiotemporal constraints inherent to each respective collection system. Bridging the unique spatial and temporal divides that li…

environmental_sciencesINGENIERIA HIDRAULICA010504 meteorology & atmospheric sciencesComputer science0211 other engineering and technologies02 engineering and technology01 natural sciencesRiver monitoringBridge (nautical)Field (computer science)Vegetation indicesRiver monitoringEnvironmental monitoringEnvironmental impact assessmentSatellite imageryNatural disasterWater content2. Zero hungerMoistureAgricultural ecosystemsSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaEnvironmental monitoring04 agricultural and veterinary sciencesVegetationRemote sensingRemote sensing (archaeology)Vegetation indiceSystems engineeringUASEarth and Planetary Sciences (all)Context (language use)Leverage (statistics)EcosystemRemote sensing021101 geological & geomatics engineering0105 earth and related environmental sciencesData collectionPrecision agriculturebusiness.industryWater resources13. Climate actionAgricultureITC-ISI-JOURNAL-ARTICLESoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceGeneral Earth and Planetary SciencesPrecision agricultureSoil moisturebusinessITC-GOLDSettore ICAR/06 - Topografia E Cartografia
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A geostatistical approach to map near-surface soil moisture through hyperspatial resolution thermal inertia.

2021

Thermal inertia has been applied to map soil water content exploiting remote sensing data in the short and long wave regions of the electromagnetic spectrum. Over the last years, optical and thermal cameras were sufficiently miniaturized to be loaded onboard of unmanned aerial systems (UASs), which provide unprecedented potentials to derive hyperspatial resolution thermal inertia for soil water content mapping. In this study, we apply a simplification of thermal inertia, the apparent thermal inertia (ATI), over pixels where underlying thermal inertia hypotheses are fulfilled (unshaded bare soil). Then, a kriging algorithm is used to spatialize the ATI to get a soil water content map. The pr…

Kriging interpolation thematic mapping thermal admittance UAS variogram analysisSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaMultispectral image0211 other engineering and technologies02 engineering and technologyMicrowave imagingITC-ISI-JOURNAL-ARTICLEContent (measure theory)Soil waterGeneral Earth and Planetary SciencesEnvironmental scienceKriging interpolation thematic mapping thermal admittance UAS variogram analysis.Electrical and Electronic EngineeringReflectometryImage resolutionWater contentSettore ICAR/06 - Topografia E Cartografia021101 geological & geomatics engineeringRemote sensingInterpolation
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