Google Earth Engine Applications

In a rapidly changing world, there is an ever-increasing need to monitor the Earth’s resources and manage it sustainably for future generations. Earth observation from satellites is critical to provide information required for informed and timely decision making in this regard. Satellite-based...

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Détails bibliographiques
Auteurs principaux:	Mutanga, Onisimo, Kumar, Lalit
Format:	Online
Langue:	anglais
Publié:	MDPI - Multidisciplinary Digital Publishing Institute 2021
Sujets:	TD1-1066 T1-995 global monitoring service suspended sediment concentration image classification empirical Soil Moisture Active Passive data archival water resources GlobCover dNBR satellite imagery SDG cloud-based geo-processing spatial resolution land use change MTBS global scale landsat collection Geo Big Data trends FAPAR vegetation index pseudo-invariant features emergency response RBR BULC-U Africa Brazilian pasturelands dynamics Enhanced Vegetation Index geo-big data multitemporal analysis flood early warning systems low cost in situ web portal composite burn index (CBI) small-scale mining snow hydrology RdNBR seasonal vegetation burn severity random forests land-use cover change random forest Support Vector Machines lower mekong basin CWC Random Forest crop yield Landsat-8 sun glint correction protected area cropland areas disaster prevention gross primary productivity (GPP) segmentation high spatial resolution satellite-derived bathymetry Aegean Brazilian Amazon image composition pasture mapping carbon cycle machine learning earth observation ecosystem assessment Mato Grosso FVC image time series LAI semi-arid google engine spatial error Ionian forest and land use mapping snow cover long term monitoring RHSeg online application land cover PROSAIL support vector machines seagrass wetland Sentinel-1 Sentinel-2 surface reflectance user assessment remote sensing multi-classifier time series machine learning classification deforestation Google Earth Engine decision making cropland mapping change detection google earth engine industrial mining data fusion cloud masking Google Earth Engine (GEE) NDVI Bayesian statistics China cloud computing plant traits Soil Moisture Ocean Salinity soil moisture big data analytics Landsat phenology 30-m MODIS habitat mapping Mediterranean temporal compositing drought surface urban heat island BACI crop classification thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
Accès en ligne:	33240
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Google Earth Engine Applications

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