01249nam2 2200301 i 450 VAN005605620240125021405.14620061115d1991 |0itac50 baitaIT|||| |||||ˆ1: ‰Teorie introduttive, cinematica, staticaBruno Finzi3. edBolognaZanichelli1991XVI, 806 p.24 cm001VAN00559962001 Meccanica razionaleBruno Finzi210 BolognaZanichelli215 2 volumi24 cm170-XXMechanics of particles and systems [MSC 2020]VANC021390MF70BxxKinematics [MSC 2020]VANC027435MF70CxxStatics [MSC 2020]VANC033977MFBolognaVANL000003FinziBrunoVANV012075770Zanichelli <editore>VANV110843650ITSOL20240621RICABIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08VAN0056056BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08PREST 70-XX 1391 08 800 II 20061115 Teorie introduttive cinematica-statica876629UNICAMPANIA04346nam 2201225z- 450 9910637779903321202212063-0365-5484-X(CKB)5470000001631739(oapen)https://directory.doabooks.org/handle/20.500.12854/94550(oapen)doab94550(EXLCZ)99547000000163173920202212d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierRemote Sensing in Agriculture: State-of-the-ArtBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online resource (220 p.)3-0365-5483-1 The Special Issue on "Remote Sensing in Agriculture: State-of-the-Art" gives an exhaustive overview of the ongoing remote sensing technology transfer into the agricultural sector. It consists of 10 high-quality papers focusing on a wide range of remote sensing models and techniques to forecast crop production and yield, to map agricultural landscape and to evaluate plant and soil biophysical features. Satellite, RPAS, and SAR data were involved. This preface describes shortly each contribution published in such Special Issue.Remote Sensing in AgricultureEnvironmental science, engineering and technologybicsscHistory of engineering and technologybicsscTechnology: general issuesbicsscalpha angleanisotropyapple orchard damagebiomassCDLcorncrop heightcrop managementcrop Monitoringcrop water stress monitoringcrop yield predictioncross-scaledata blendingdigital number (DN)DJI Phantom 4 Multispectral (P4M)economic lossentropyfeature selectionfield phenotypinggap-fillingHidden Markov Random FieldHMRFhyperspectral imaginginsurance supportLandsatlodgingMODISnorthern Mongoliaoasis crop type mappingParrot Sequoia (Sequoia)plant disease detectionpolarimetric decompositionprecision agriculture (PA)random forest (RF)recursive feature increment (RFI)red-edge spectral bands and indicesreflectanceremote sensing (RS)remote sensing indicesSARSentinel-1Sentinel-1 and 2 integrationsoil moisture Karnataka Indiasoil moisture semi-empirical modelsoybeanspatial resolutionspectral angle mapperspring wheatstatistically homogeneous pixels (SHPs)storm damage mappingsupport vector machinesupport vector regressionSynthetic Aperture Radarsynthetic aperture radar (SAR)thermal infrared (TIR)thermal UAV RSUAVUAV-based LiDARunmanned aerial vehicles (UAVs)vegetation index (VI)vegetation status monitoringvolumetric soil moisturewinter wheatyellow rustyield estimationEnvironmental science, engineering and technologyHistory of engineering and technologyTechnology: general issuesBorgogno-Mondino Enricoedt436404Tarantino EufemiaedtCapolupo AlessandraedtBorgogno-Mondino EnricoothTarantino EufemiaothCapolupo AlessandraothBOOK9910637779903321Remote Sensing in Agriculture: State-of-the-Art3022567UNINA