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 …
Towards synoptic water monitoring systems: a review of AI methods for automating water body detection and water quality monitoring using remote sensing
Water features (eg, water quantity and water quality) are one of the most important
environmental factors essential to improving climate-change resilience. Remote sensing …
environmental factors essential to improving climate-change resilience. Remote sensing …
Flood susceptibility mapping using machine learning boosting algorithms techniques in Idukki district of Kerala India
Kerala experiences a high rate of annual rainfall and flooding resulting in a frequent natural
disaster. The objective of this study is to develop flood susceptibility maps for the Idukki …
disaster. The objective of this study is to develop flood susceptibility maps for the Idukki …
[HTML][HTML] Residual wave vision U-Net for flood mapping using dual polarization Sentinel-1 SAR imagery
The increasing severity, duration, and frequency of destructive floods can be attributed to
shifts in climate, infrastructure, land use, and population demographics. Obtaining precise …
shifts in climate, infrastructure, land use, and population demographics. Obtaining precise …
Can we detect more ephemeral floods with higher density harmonized Landsat Sentinel 2 data compared to Landsat 8 alone?
Spatiotemporal quantification of surface water and flooding is essential given that floods are
among the largest natural hazards. Effective disaster response management requires near …
among the largest natural hazards. Effective disaster response management requires near …
A near real-time mapping of tropical forest disturbance using sar and semantic segmentation in google earth engine
Satellite-based forest alert systems are an important tool for ecosystem monitoring, planning
conservation, and increasing public awareness of forest cover change. Continuous …
conservation, and increasing public awareness of forest cover change. Continuous …
[HTML][HTML] A contrarian growth: The spatiotemporal dynamics of open-surface water bodies on the northern slope of Kunlun Mountains
Identifying and monitoring open-surface water bodies are significant for understanding
regional water resource distribution and evolving trends. This understanding carries …
regional water resource distribution and evolving trends. This understanding carries …
An intercomparison of Sentinel-1 based change detection algorithms for flood mapping
With its unrivaled and global land monitoring capability, the Sentinel-1 mission has been
established as a prime provider in SAR-based flood mapping. Compared to suitable single …
established as a prime provider in SAR-based flood mapping. Compared to suitable single …
[HTML][HTML] Automated in-season rice crop mapping using Sentinel time-series data and Google Earth Engine: A case study in climate-risk prone Bangladesh
High-resolution mapping of rice fields is crucial for understanding and managing rice
cultivation in countries like Bangladesh, particularly in the face of climate change. Rice is a …
cultivation in countries like Bangladesh, particularly in the face of climate change. Rice is a …
A multi-sensor approach for increased measurements of floods and their societal impacts from space
D Munasinghe, RPM Frasson, CH David… - … Earth & Environment, 2023 - nature.com
Merging observations from multiple satellites is necessary to ensure that extreme
hydrological events are consistently observed. Here, we evaluate the potential …
hydrological events are consistently observed. Here, we evaluate the potential …