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... Ausführliche Beschreibung

1. Person: Kumar, Lalit
Weitere Personen: Mutanga, Onisimo
Format: E-Buch
Veröffentlicht: MDPI - Multidisciplinary Digital Publishing Institute 2019
Beschreibung: 1 electronic resource (420 p.)
Schlagworte: Africa
machine learning
Landsat
Support Vector Machines
land cover
soil moisture
FAPAR
cropland mapping
online application
ecosystem assessment
user assessment
vegetation index
spatial error
data fusion
cloud-based geo-processing
Landsat-8
random forests
satellite-derived bathymetry
emergency response
Mato Grosso
Random Forest
Bayesian statistics
drought
protected area
RBR
SDG
pasture mapping
land use change
surface reflectance
earth observation
CWC
GlobCover
global scale
land-use cover change
Google Earth Engine (GEE)
industrial mining
early warning systems
snow cover
Mediterranean
small-scale mining
data archival
BULC-U
Brazilian pasturelands dynamics
Google Earth Engine
segmentation
China
Soil Moisture Active Passive
habitat mapping
pseudo-invariant features
image classification
water resources
google engine
plant traits
RdNBR
dNBR
crop yield
spatial resolution
multitemporal analysis
decision making
google earth engine
change detection
low cost in situ
FVC
MODIS
image composition
NDVI
gross primary productivity (GPP)
Sentinel-2
Soil Moisture Ocean Salinity
landsat collection
carbon cycle
semi-arid
Brazilian Amazon
random forest
global monitoring service
support vector machines
image time series
snow hydrology
forest and land use mapping
time series
surface urban heat island
suspended sediment concentration
trends
machine learning classification
multi-classifier
Geo Big Data
Enhanced Vegetation Index
satellite imagery
RHSeg
cloud masking
geo-big data
BACI
Technology (General)
disaster prevention
lower mekong basin
wetland
empirical
PROSAIL
long term monitoring
web portal
high spatial resolution
cropland areas
LAI
Aegean
MTBS
flood
30-m
remote sensing
burn severity
cloud computing
phenology
Sentinel-1
big data analytics
sun glint correction
seasonal vegetation
Environmental technology. Sanitary engineering
composite burn index (CBI)
seagrass
Ionian
crop classification
temporal compositing
deforestation
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