Google Earth Engine for geo-big data applications: A meta-analysis and systematic review
Abstract Google Earth Engine (GEE) is a cloud-based geospatial processing platform for
large-scale environmental monitoring and analysis. The free-to-use GEE platform provides …
large-scale environmental monitoring and analysis. The free-to-use GEE platform provides …
Support vector machine versus random forest for remote sensing image classification: A meta-analysis and systematic review
Several machine-learning algorithms have been proposed for remote sensing image
classification during the past two decades. Among these machine learning algorithms …
classification during the past two decades. Among these machine learning algorithms …
Google Earth Engine and artificial intelligence (AI): a comprehensive review
Remote sensing (RS) plays an important role gathering data in many critical domains (eg,
global climate change, risk assessment and vulnerability reduction of natural hazards …
global climate change, risk assessment and vulnerability reduction of natural hazards …
Object-oriented lulc classification in google earth engine combining snic, glcm, and machine learning algorithms
A Tassi, M Vizzari - Remote Sensing, 2020 - mdpi.com
Google Earth Engine (GEE) is a versatile cloud platform in which pixel-based (PB) and
object-oriented (OO) Land Use–Land Cover (LULC) classification approaches can be …
object-oriented (OO) Land Use–Land Cover (LULC) classification approaches can be …
Google Earth Engine: a global analysis and future trends
The continuous increase in the volume of geospatial data has led to the creation of storage
tools and the cloud to process data. Google Earth Engine (GEE) is a cloud-based platform …
tools and the cloud to process data. Google Earth Engine (GEE) is a cloud-based platform …
Interannual changes of coastal aquaculture ponds in China at 10-m spatial resolution during 2016–2021
M Wang, D Mao, X ** in East Asia by two-stage object-based Random Forest and hierarchical decision tree algorithms on Sentinel-1/2 images
M Wang, D Mao, Y Wang, X ** of soil organic carbon concentration with 3D machine learning and satellite observations
Canada has extensive forests and peatlands that play key roles in global carbon cycle.
Canadian soils and peatlands are assumed to store approximately 20% of the world's soil …
Canadian soils and peatlands are assumed to store approximately 20% of the world's soil …