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dc.contributor.authorMutanga, Onisimo*
dc.contributor.authorKumar, Lalit*
dc.date.accessioned2021-02-11T14:44:48Z
dc.date.available2021-02-11T14:44:48Z
dc.date.issued2019*
dc.date.submitted2019-04-25 16:37:17*
dc.identifier33240*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/48756
dc.description.abstractIn 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 earth observation has advanced rapidly over the last 50 years, and there is a plethora of satellite sensors imaging the Earth at finer spatial and spectral resolutions as well as high temporal resolutions. The amount of data available for any single location on the Earth is now at the petabyte-scale. An ever-increasing capacity and computing power is needed to handle such large datasets. The Google Earth Engine (GEE) is a cloud-based computing platform that was established by Google to support such data processing. This facility allows for the storage, processing and analysis of spatial data using centralized high-power computing resources, allowing scientists, researchers, hobbyists and anyone else interested in such fields to mine this data and understand the changes occurring on the Earth’s surface. This book presents research that applies the Google Earth Engine in mining, storing, retrieving and processing spatial data for a variety of applications that include vegetation monitoring, cropland mapping, ecosystem assessment, and gross primary productivity, among others. Datasets used range from coarse spatial resolution data, such as MODIS, to medium resolution datasets (Worldview -2), and the studies cover the entire globe at varying spatial and temporal scales.*
dc.languageEnglish*
dc.subjectTD1-1066*
dc.subjectT1-995*
dc.subject.otherglobal monitoring service*
dc.subject.othersuspended sediment concentration*
dc.subject.otherimage classification*
dc.subject.otherempirical*
dc.subject.otherSoil Moisture Active Passive*
dc.subject.otherdata archival*
dc.subject.otherwater resources*
dc.subject.otherGlobCover*
dc.subject.otherdNBR*
dc.subject.othersatellite imagery*
dc.subject.otherSDG*
dc.subject.othercloud-based geo-processing*
dc.subject.otherspatial resolution*
dc.subject.otherland use change*
dc.subject.otherMTBS*
dc.subject.otherglobal scale*
dc.subject.otherlandsat collection*
dc.subject.otherGeo Big Data*
dc.subject.othertrends*
dc.subject.otherFAPAR*
dc.subject.othervegetation index*
dc.subject.otherpseudo-invariant features*
dc.subject.otheremergency response*
dc.subject.otherRBR*
dc.subject.otherBULC-U*
dc.subject.otherAfrica*
dc.subject.otherBrazilian pasturelands dynamics*
dc.subject.otherEnhanced Vegetation Index*
dc.subject.othergeo-big data*
dc.subject.othermultitemporal analysis*
dc.subject.otherflood*
dc.subject.otherearly warning systems*
dc.subject.otherlow cost in situ*
dc.subject.otherweb portal*
dc.subject.othercomposite burn index (CBI)*
dc.subject.othersmall-scale mining*
dc.subject.othersnow hydrology*
dc.subject.otherRdNBR*
dc.subject.otherseasonal vegetation*
dc.subject.otherburn severity*
dc.subject.otherrandom forests*
dc.subject.otherland-use cover change*
dc.subject.otherrandom forest*
dc.subject.otherSupport Vector Machines*
dc.subject.otherlower mekong basin*
dc.subject.otherCWC*
dc.subject.otherRandom Forest*
dc.subject.othercrop yield*
dc.subject.otherLandsat-8*
dc.subject.othersun glint correction*
dc.subject.otherprotected area*
dc.subject.othercropland areas*
dc.subject.otherdisaster prevention*
dc.subject.othergross primary productivity (GPP)*
dc.subject.othersegmentation*
dc.subject.otherhigh spatial resolution*
dc.subject.othersatellite-derived bathymetry*
dc.subject.otherAegean*
dc.subject.otherBrazilian Amazon*
dc.subject.otherimage composition*
dc.subject.otherpasture mapping*
dc.subject.othercarbon cycle*
dc.subject.othermachine learning*
dc.subject.otherearth observation*
dc.subject.otherecosystem assessment*
dc.subject.otherMato Grosso*
dc.subject.otherFVC*
dc.subject.otherimage time series*
dc.subject.otherLAI*
dc.subject.othersemi-arid*
dc.subject.othergoogle engine*
dc.subject.otherspatial error*
dc.subject.otherIonian*
dc.subject.otherforest and land use mapping*
dc.subject.othersnow cover*
dc.subject.otherlong term monitoring*
dc.subject.otherRHSeg*
dc.subject.otheronline application*
dc.subject.otherland cover*
dc.subject.otherPROSAIL*
dc.subject.othersupport vector machines*
dc.subject.otherseagrass*
dc.subject.otherwetland*
dc.subject.otherSentinel-1*
dc.subject.otherSentinel-2*
dc.subject.othersurface reflectance*
dc.subject.otheruser assessment*
dc.subject.otherremote sensing*
dc.subject.othermulti-classifier*
dc.subject.othertime series*
dc.subject.othermachine learning classification*
dc.subject.otherdeforestation*
dc.subject.otherGoogle Earth Engine*
dc.subject.otherdecision making*
dc.subject.othercropland mapping*
dc.subject.otherchange detection*
dc.subject.othergoogle earth engine*
dc.subject.otherindustrial mining*
dc.subject.otherdata fusion*
dc.subject.othercloud masking*
dc.subject.otherGoogle Earth Engine (GEE)*
dc.subject.otherNDVI*
dc.subject.otherBayesian statistics*
dc.subject.otherChina*
dc.subject.othercloud computing*
dc.subject.otherplant traits*
dc.subject.otherSoil Moisture Ocean Salinity*
dc.subject.othersoil moisture*
dc.subject.otherbig data analytics*
dc.subject.otherLandsat*
dc.subject.otherphenology*
dc.subject.other30-m*
dc.subject.otherMODIS*
dc.subject.otherhabitat mapping*
dc.subject.otherMediterranean*
dc.subject.othertemporal compositing*
dc.subject.otherdrought*
dc.subject.othersurface urban heat island*
dc.subject.otherBACI*
dc.subject.othercrop classification*
dc.titleGoogle Earth Engine Applications*
dc.typebook
oapen.identifier.doi10.3390/books978-3-03897-885-5*
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0*
virtual.oapen_relation_isPublishedBy.publisher_nameMDPI - Multidisciplinary Digital Publishing Institute
virtual.oapen_relation_isPublishedBy.publisher_websitewww.mdpi.com/books
oapen.relation.isbn9783038978855*
oapen.relation.isbn9783038978848*
oapen.pages420*
oapen.edition1st*


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