02125nam0 2200457 i 450 VAN010417820220223022831.939N978-3-642-55361-520151214d2014 |0itac50 baengDE|||| |||||Algebra, geometry and mathematical physicsAGMP, Mulhouse, France, october 2011Abdenacer Makhlouf ... [et al.] editorsBerlinSpringer2014XVIII, 684 p.ill.24 cm001VAN01025742001 Springer proceedings in mathematics & statistics210 Berlin [etc.]Springer85VAN0241336Algebra, geometry and mathematical physics140997916-XXAssociative rings and algebras [MSC 2020]VANC019734MF81-XXQuantum theory [MSC 2020]VANC019967MF17-XXNonassociative rings and algebras [MSC 2020]VANC021290MF17BxxLie algebras and Lie superalgebras [MSC 2020]VANC024319MF17AxxGeneral nonassociative rings [MSC 2020]VANC031460MF81RxxGroups and algebras in quantum theory [MSC 2020]VANC031461MFAlgebraKW:KConnectionKW:KConservation lawKW:KDeformationKW:KHom-algebraKW:KLie TheoryKW:KBerlinVANL000066MakhloufAbdenacerVANV081240Algebra, Geometry and Mathematical Physics conference2011Mulhouse, FranceVANV081241Springer <editore>VANV108073650ITSOL20240614RICAhttp://dx.doi.org/10.1007/978-3-642-55361-5E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA CENTRO DI SERVIZIO SBAVAN15NVAN0104178BIBLIOTECA CENTRO DI SERVIZIO SBA15CONS SBA EBOOK 4410 15EB 4410 20191106 Algebra, geometry and mathematical physics1409979UNICAMPANIA04788nam 2201285z- 450 991055769180332120210501(CKB)5400000000044613(oapen)https://directory.doabooks.org/handle/20.500.12854/68321(oapen)doab68321(EXLCZ)99540000000004461320202105d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierHyperspectral Remote Sensing of Agriculture and VegetationBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (266 p.)3-03943-907-3 3-03943-908-1 This 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.Environmental economicsbicsscResearch & information: generalbicsscabaxialadaxialanalytical methodsAOTFartificial intelligencebiodiversityBRDFcanopy spectrachlorophyll contentclassificationclassification of agricultural featurescontinuous wavelet transform (CWT)correlation coefficientcrop propertiesdiscriminationDLARIEragrostis tefEthiopiaexpansive speciesfeature selectionfield spectroscopyfuture hyperspectral missionsgrapevineheavy metalshigh-resolution spectroscopy for agricultural soils and vegetationhyperspectralhyperspectral data as input for modelling soil, crop, and vegetationhyperspectral databases for agricultural soils and vegetationhyperspectral imaginghyperspectral imaging for vegetationhyperspectral LiDARhyperspectral remote sensinghyperspectral remote sensing for soil and crops in agricultureinvasive speciesleaf chlorophyll contentmacronutrientMDATTmicronutrientMLRmulti-angle observationNatura 2000new hyperspectral technologiesobject-oriented segmentationpartial least square regression (PLSR)partial least squarespeanutplantplant traitsplatforms and sensorsPLSprecision agricultureproduct validationproximal sensing dataproximal sensorrandom forestRed Edgeremote sensingreplicabilityreproducibilitysoil characteristicsspectraspectral reflectancespectroscopysupport vector machineSVMvegetationvegetation classificationvegetation parameterswaveband selectionEnvironmental economicsResearch & information: generalPascucci Simoneedt1311963Pignatti StefanoedtCasa RaffaeleedtDarvishzadeh RoshanakedtHuang WenjiangedtPascucci SimoneothPignatti StefanoothCasa RaffaeleothDarvishzadeh RoshanakothHuang WenjiangothBOOK9910557691803321Hyperspectral Remote Sensing of Agriculture and Vegetation3030627UNINA