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 …
Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources
This paper reviews the most important information fusion data-driven algorithms based on
Machine Learning (ML) techniques for problems in Earth observation. Nowadays we …
Machine Learning (ML) techniques for problems in Earth observation. Nowadays we …
Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine
Synthetic aperture radar (SAR) sensors represent an indispensable data source for flood
disaster planners and responders, given their ability to image the Earth's surface nearly …
disaster planners and responders, given their ability to image the Earth's surface nearly …
Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method
Flash-floods are increasingly recognized as a frequent natural hazard worldwide. Iran has
been among the most devastated regions affected by the major floods. While the temporal …
been among the most devastated regions affected by the major floods. While the temporal …
A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area
This research proposes and evaluates a new approach for flash flood susceptibility map**
based on Deep Learning Neural Network (DLNN)) algorithm, with a case study at a high …
based on Deep Learning Neural Network (DLNN)) algorithm, with a case study at a high …
Identifying floods and flood-affected paddy rice fields in Bangladesh based on Sentinel-1 imagery and Google Earth Engine
Globally, flooding is the leading cause of natural disaster related deaths, especially in
Bangladesh where approximately one third of national area gets flooded annually by …
Bangladesh where approximately one third of national area gets flooded annually by …
Applications of Google Earth Engine in fluvial geomorphology for detecting river channel change
Cloud‐based computing, access to big geospatial data, and virtualization, whereby users
are freed from computational hardware and data management logistics, could revolutionize …
are freed from computational hardware and data management logistics, could revolutionize …
A network combining a transformer and a convolutional neural network for remote sensing image change detection
G Wang, B Li, T Zhang, S Zhang - Remote Sensing, 2022 - mdpi.com
With the development of deep learning techniques in the field of remote sensing change
detection, many change detection algorithms based on convolutional neural networks …
detection, many change detection algorithms based on convolutional neural networks …
A method for automatic and rapid map** of water surfaces from sentinel-1 imagery
Reliable information about the spatial distribution of surface waters is critically important in
various scientific disciplines. Synthetic Aperture Radar (SAR) is an effective way to detect …
various scientific disciplines. Synthetic Aperture Radar (SAR) is an effective way to detect …
Automated extraction of surface water extent from Sentinel-1 data
Accurately quantifying surface water extent in wetlands is critical to understanding their role
in ecosystem processes. However, current regional-to global-scale surface water products …
in ecosystem processes. However, current regional-to global-scale surface water products …