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dc.contributor.editorPascucci, Simone
dc.contributor.editorPignatti, Stefano
dc.contributor.editorCasa, Raffaele
dc.contributor.editorDarvishzadeh, Roshanak
dc.contributor.editorHuang, Wenjiang
dc.date.accessioned2021-05-01T15:06:53Z
dc.date.available2021-05-01T15:06:53Z
dc.date.issued2021
dc.identifierONIX_20210501_9783039439072_65
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/68321
dc.description.abstractThis book shows recent and innovative applications of the use of hyperspectral technology for optimal quantification of crop, vegetation, and soil biophysical variables at various spatial scales, which can be an important aspect in agricultural management practices and monitoring. The articles collected inside the book are intended to help researchers and farmers involved in precision agriculture techniques and practices, as well as in plant nutrient prediction, to a higher comprehension of strengths and limitations of the application of hyperspectral imaging to agriculture and vegetation. Hyperspectral remote sensing for studying agriculture and natural vegetation is a challenging research topic that will remain of great interest for different sciences communities in decades.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: generalen_US
dc.subject.classificationthema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economicsen_US
dc.subject.otherhyperspectral LiDAR
dc.subject.otherRed Edge
dc.subject.otherAOTF
dc.subject.othervegetation parameters
dc.subject.otherleaf chlorophyll content
dc.subject.otherDLARI
dc.subject.otherMDATT
dc.subject.otheradaxial
dc.subject.otherabaxial
dc.subject.otherspectral reflectance
dc.subject.otherpeanut
dc.subject.otherfield spectroscopy
dc.subject.otherhyperspectral
dc.subject.otherheavy metals
dc.subject.othergrapevine
dc.subject.otherPLS
dc.subject.otherSVM
dc.subject.otherMLR
dc.subject.othermulti-angle observation
dc.subject.otherhyperspectral remote sensing
dc.subject.otherBRDF
dc.subject.othervegetation classification
dc.subject.otherobject-oriented segmentation
dc.subject.otherspectroscopy
dc.subject.otherartificial intelligence
dc.subject.otherproximal sensing data
dc.subject.otherprecision agriculture
dc.subject.otherspectra
dc.subject.othervegetation
dc.subject.otherplant
dc.subject.otherclassification
dc.subject.otherdiscrimination
dc.subject.otherfeature selection
dc.subject.otherwaveband selection
dc.subject.othersupport vector machine
dc.subject.otherrandom forest
dc.subject.otherNatura 2000
dc.subject.otherinvasive species
dc.subject.otherexpansive species
dc.subject.otherbiodiversity
dc.subject.otherproximal sensor
dc.subject.othermacronutrient
dc.subject.othermicronutrient
dc.subject.otherremote sensing
dc.subject.otherhyperspectral imaging
dc.subject.otherplatforms and sensors
dc.subject.otheranalytical methods
dc.subject.othercrop properties
dc.subject.othersoil characteristics
dc.subject.otherclassification of agricultural features
dc.subject.othercanopy spectra
dc.subject.otherchlorophyll content
dc.subject.othercontinuous wavelet transform (CWT)
dc.subject.othercorrelation coefficient
dc.subject.otherpartial least square regression (PLSR)
dc.subject.otherreproducibility
dc.subject.otherreplicability
dc.subject.otherpartial least squares
dc.subject.otherEthiopia
dc.subject.otherEragrostis tef
dc.subject.otherhyperspectral remote sensing for soil and crops in agriculture
dc.subject.otherhyperspectral imaging for vegetation
dc.subject.otherplant traits
dc.subject.otherhigh-resolution spectroscopy for agricultural soils and vegetation
dc.subject.otherhyperspectral databases for agricultural soils and vegetation
dc.subject.otherhyperspectral data as input for modelling soil, crop, and vegetation
dc.subject.otherproduct validation
dc.subject.othernew hyperspectral technologies
dc.subject.otherfuture hyperspectral missions
dc.titleHyperspectral Remote Sensing of Agriculture and Vegetation
dc.typebook
oapen.identifier.doi10.3390/books978-3-03943-908-9
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783039439072
oapen.relation.isbn9783039439089
oapen.pages266
oapen.place.publicationBasel, Switzerland


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