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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...

Deskribapen osoa

Gorde:
Egile Nagusiak: Mutanga, Onisimo, Kumar, Lalit
Formatua: Online
Hizkuntza:ingelesa
Argitaratua: MDPI - Multidisciplinary Digital Publishing Institute 2021
Gaiak:
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
Sarrera elektronikoa:33240
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