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Remote Sensing Applications for Agriculture and Crop Modelling

dc.contributor.authorToscano, Piero*
dc.date.accessioned2021-02-12T01:47:24Z
dc.date.available2021-02-12T01:47:24Z
dc.date.issued2020*
dc.date.submitted2020-04-07 23:07:08*
dc.identifier44748*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/58167
dc.description.abstractCrop models and remote sensing techniques have been combined and applied in agriculture and crop estimation on local and regional scales, or worldwide, based on the simultaneous development of crop models and remote sensing. The literature shows that many new remote sensing sensors and valuable methods have been developed for the retrieval of canopy state variables and soil properties from remote sensing data for assimilating the retrieved variables into crop models. At the same time, remote sensing has been used in a staggering number of applications for agriculture. This book sets the context for remote sensing and modelling for agricultural systems as a mean to minimize the environmental impact, while increasing production and productivity. The eighteen papers published in this Special Issue, although not representative of all the work carried out in the field of Remote Sensing for agriculture and crop modeling,*
dc.languageEnglish*
dc.subjectG1-922*
dc.subjectQ1-390*
dc.subject.classificationthema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geographyen_US
dc.subject.othernitrogen nutrition index*
dc.subject.othern/a*
dc.subject.othersoil organic carbon*
dc.subject.otheryield estimation*
dc.subject.otherhyperspectral sensor*
dc.subject.othercrop modeling*
dc.subject.othercrop residue management*
dc.subject.otherland use change*
dc.subject.otherflat-fan atomizer*
dc.subject.othervegetation index*
dc.subject.otherseptoria tritici blotch*
dc.subject.othercrop simulation model*
dc.subject.othertemporal variability*
dc.subject.otherspectral-weight variations in fused images*
dc.subject.otherplant*
dc.subject.otherEPIC model*
dc.subject.otherlarge cardamom*
dc.subject.othercrop inventory*
dc.subject.otherproximal sensing*
dc.subject.othersorghum biomass*
dc.subject.othersoil*
dc.subject.otherUAV*
dc.subject.otherIntegrated Administration and Control System*
dc.subject.othercanopy temperature depression*
dc.subject.otherfractional cover*
dc.subject.otherCropsim-CERES Wheat*
dc.subject.otherhyperspectral data*
dc.subject.otheryield*
dc.subject.otherwheat*
dc.subject.otherprecision farming*
dc.subject.otherSPAD*
dc.subject.otherAquaCrop*
dc.subject.otherprediction modeling*
dc.subject.otherspectral simulation*
dc.subject.otherleaf nitrogen concentration*
dc.subject.othermachine learning*
dc.subject.othercrop production*
dc.subject.otherprotein content*
dc.subject.otherÁ Trous algorithm*
dc.subject.otherspatial variability*
dc.subject.othervariable rate technology*
dc.subject.othercrop type mapping*
dc.subject.otherTarim Basin*
dc.subject.otherleaf area index*
dc.subject.othermanagement zone*
dc.subject.otherirrigation*
dc.subject.othermulti-spectral*
dc.subject.otheragricultural land-cover*
dc.subject.othercrop modelling*
dc.subject.otherdynamic model*
dc.subject.othersatellite images*
dc.subject.otherclimate change*
dc.subject.othercontrol variables*
dc.subject.othergeneralized model*
dc.subject.otherSentinel-2 satellite imagery*
dc.subject.othervegetation indices*
dc.subject.othervegetable monitoring*
dc.subject.otherSentinel-2*
dc.subject.otherremote sensing*
dc.subject.othercultivars*
dc.subject.othercrop growth model*
dc.subject.otheryield monitoring*
dc.subject.otherbig data technology*
dc.subject.otherconservation agriculture*
dc.subject.otherGIS*
dc.subject.otherfAPAR*
dc.subject.otherdroplet drift*
dc.subject.othersimulation analysis*
dc.subject.otherdurum wheat*
dc.subject.otherhydroponic*
dc.subject.othergrain yield*
dc.subject.otherLeaf Area Index*
dc.subject.otherNDVI*
dc.subject.otherprecision agriculture*
dc.subject.otherrelative frequencies*
dc.subject.othersoil stoichiometry*
dc.subject.otherhabitat assessment*
dc.subject.otherdata assimilation*
dc.subject.othersatellite*
dc.subject.otherspecies modelling*
dc.subject.other?13C*
dc.subject.otherdisease*
dc.subject.othernitrogen*
dc.subject.otheryield mapping*
dc.subject.otherUAV chemical application*
dc.subject.otherRGB images*
dc.subject.otherdecision support system for agrotechnology transfer (DSSAT)*
dc.titleRemote Sensing Applications for Agriculture and Crop Modelling*
dc.typebook
oapen.identifier.doi10.3390/books978-3-03928-227-2*
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0*
oapen.relation.isbn9783039282265*
oapen.relation.isbn9783039282272*
oapen.pages308*
oapen.edition1st*


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