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[HTML][HTML] 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 …
Google earth engine cloud computing platform for remote sensing big data applications: A comprehensive review
Remote sensing (RS) systems have been collecting massive volumes of datasets for
decades, managing and analyzing of which are not practical using common software …
decades, managing and analyzing of which are not practical using common software …
[HTML][HTML] 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 …
Remote sensing big data for water environment monitoring: Current status, challenges, and future prospects
Accurate water extraction and quantitative estimation of water quality are two key and
challenging issues for remote sensing of water environment. Recent advances in remote …
challenging issues for remote sensing of water environment. Recent advances in remote …
Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets
Accurate bathymetric data is essential for marine, coastal ecosystems, and related studies.
In the past decades, a lot of studies were investigated to obtain bathymetric data in shallow …
In the past decades, a lot of studies were investigated to obtain bathymetric data in shallow …
[HTML][HTML] High-resolution map** of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data
Forest canopy height is an important indicator of forest carbon storage, productivity, and
biodiversity. The present study showed the first attempt to develop a machine-learning …
biodiversity. The present study showed the first attempt to develop a machine-learning …
Map** winter crops in China with multi-source satellite imagery and phenology-based algorithm
Timely and accurate map** of winter crop planting areas in China is important for food
security assessment at a national level. Time-series of vegetation indices, such as the …
security assessment at a national level. Time-series of vegetation indices, such as the …
A semi-empirical scheme for bathymetric map** in shallow water by ICESat-2 and Sentinel-2: A case study in the South China Sea
To derive shallow water bathymetry for coastal areas, a common approach is to deploy a
scanning airborne bathymetric light detection and ranging (LiDAR) system or a shipborne …
scanning airborne bathymetric light detection and ranging (LiDAR) system or a shipborne …
[HTML][HTML] Satellite optical imagery in Coastal Engineering
Abstract This Short Communication provides a Coastal Engineering perspective on present
and emerging capabilities of satellite optical imagery, including real-world applications that …
and emerging capabilities of satellite optical imagery, including real-world applications that …
Retrieval of nearshore bathymetry from Sentinel-2A and 2B satellites in South Florida coastal waters
This study examines the relatively high-resolution MultiSpectral Instrument (MSI) onboard
Sentinel-2A and 2B for generating bathymetric maps through a ratio transform model in …
Sentinel-2A and 2B for generating bathymetric maps through a ratio transform model in …