Search results for " Optical remote sensing"

showing 2 items of 2 documents

Monitoring Water Surface and Level of a Reservoir Using Different Remote Sensing Approaches and Comparison with Dam Displacements Evaluated via GNSS

2018

Remote sensing allowed monitoring the reservoir water level by estimating its surface extension. Surface extension has been estimated using different approaches, employing both optical (Landsat 5 TM, Landsat 7 ETM+ SLC-Off, Landsat 8 OLI-TIRS and ASTER images) and Synthetic Aperture Radar (SAR) images (Cosmo SkyMed and TerraSAR-X). Images were characterized by different acquisition modes, geometric and spectral resolutions, allowing the evaluation of alternative and/or complementary techniques. For each kind of image, two techniques have been tested: The first based on an unsupervised classification and suitable to automate the process, the second based on visual matching with contour lines…

Synthetic aperture radarwater surface010504 meteorology & atmospheric sciencesScience0211 other engineering and technologies02 engineering and technology01 natural sciencesDisplacement (vector)Advanced Spaceborne Thermal Emission and Reflection RadiometerMoving averagedam displacements; water level; water surface; hysteresis; optical remote sensing; SAR; GNSSRange (statistics)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingdam displacementsGNSSSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaQwater leveloptical remote sensingWater levelhysteresisGNSS applicationsContour lineGeneral Earth and Planetary SciencesSettore ICAR/06 - Topografia E CartografiaGeologyDam displacements GNSS Hysteresis Optical remote sensing SAR Water level Water surfaceSARRemote Sensing
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Evapotranspiration from an Olive Orchard using Remote Sensing-Based Dual Crop Coefficient Approach

2013

A remote sensing-based approach to estimate actual evapotranspiration (ET) was tested in an area covered by olive trees and characterized by Mediterranean climate. The methodology is a modified version of the standard FAO-56 dual crop coefficient procedure, in which the crop potential transpiration, T p, is obtained by directly applying the Penman-Monteith (PM) equation with actual canopy characteristics (i.e., leaf area index, albedo and canopy height) derived from optical remote sensing data. Due to the minimum requirement of in-situ ancillary inputs, the methodology is suitable also for applications on large areas where the use of tabled crop coefficient values become problematic, due to…

Actual evapotranspirationCanopyEddy covarianceAlbedoPlant transpiration; Optical remote sensing; Dual crop coefficient; Actual evapotranspirationOlive treesSettore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeCrop coefficientDual crop coefficientEvapotranspirationOptical remote sensingPlant transpirationSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliEnvironmental scienceLeaf area indexWater Science and TechnologyCivil and Structural EngineeringTranspirationRemote sensingWater Resources Management
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