04257nam 2201033z- 450 991055736800332120220111(CKB)5400000000042211(oapen)https://directory.doabooks.org/handle/20.500.12854/76303(oapen)doab76303(EXLCZ)99540000000004221120202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierHyperspectral Imaging for Fine to Medium Scale Applications in Environmental SciencesBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (218 p.)3-0365-0878-3 3-0365-0879-1 The aim of the Special Issue "Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences" was to present a selection of innovative studies using hyperspectral imaging (HSI) in different thematic fields. This intention reflects the technical developments in the last three decades, which have brought the capacity of HSI to provide spectrally, spatially and temporally detailed data, favoured by e.g., hyperspectral snapshot technologies, miniaturized hyperspectral sensors and hyperspectral microscopy imaging. The present book comprises a suite of papers in various fields of environmental sciences-geology/mineral exploration, digital soil mapping, mapping and characterization of vegetation, and sensing of water bodies (including under-ice and underwater applications). In addition, there are two rather methodically/technically-oriented contributions dealing with the optimized processing of UAV data and on the design and test of a multi-channel optical receiver for ground-based applications. All in all, this compilation documents that HSI is a multi-faceted research topic and will remain so in the future.Research and information: generalbicsscantarcticaatmospheric correctionbio-optical algorithmbiomasschlorophyll achlorophyll-aclose-range hyperspectral imagingcolored dissolved organic matterconvolutional neural networkelectromagnetic inductionfield hyperspectral measurementfine-scalegeorectificationhyperspectralHyperspectral imagehyperspectral imagerhyperspectral imagingice algaein situ measurementsinstrument developmentlong-distancelong-rangeMaarmorilikmachine learningmangrove species classificationmineral mappingminimum wavelength mappingmosaickingmultiple classifier fusionn/aphotogrammetryphycocyaninpush-broomradiometric correctionrandom forestrandom forest regressionreceiverRiotintorotation forestsea icesnapshot hyperspectral imagingsoilsoil salinityspectroradiometrystructure from motionStructure from Motion (SfM)telescopetopographic correctiontree speciesUAVunder-iceunderwaterunmanned aerial vehiclevertical distributionwater columnwaveband selectionResearch and information: generalVohland Michaeledt1294154Jung AndrásedtVohland MichaelothJung AndrásothBOOK9910557368003321Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences3022940UNINA