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 …
Synergistic use of earth observation driven techniques to support the implementation of water framework directive in europe: a review
The development of a sustainable water quality monitoring system at national scale remains
a big challenge until today, acting as a hindrance for the efficient implementation of the …
a big challenge until today, acting as a hindrance for the efficient implementation of the …
U-net-based semantic classification for flood extent extraction using SAR imagery and GEE platform: A case study for 2019 central US flooding
Data-driven models for water body extraction have experienced accelerated growth in
recent years, thanks to advances in processing techniques and computational resources, as …
recent years, thanks to advances in processing techniques and computational resources, as …
Deep learning approach for Sentinel-1 surface water mapping leveraging Google Earth Engine
Satellite remote sensing plays an important role in mapping the location and extent of
surface water. A variety of approaches are available for mapping surface water, but deep …
surface water. A variety of approaches are available for mapping surface water, but deep …
A globally applicable framework for compound flood hazard modeling
D Eilander, A Couasnon, T Leijnse… - … hazards and earth …, 2023 - nhess.copernicus.org
Coastal river deltas are susceptible to flooding from pluvial, fluvial, and coastal flood drivers.
Compound floods, which result from the co-occurrence of two or more of these drivers …
Compound floods, which result from the co-occurrence of two or more of these drivers …
High-resolution surface water dynamics in Earth's small and medium-sized reservoirs
Small and medium-sized reservoirs play an important role in water systems that need to
cope with climate variability and various other man-made and natural challenges. Although …
cope with climate variability and various other man-made and natural challenges. Although …
Surface water dynamics from space: a round robin intercomparison of using optical and sar high-resolution satellite observations for regional surface water detection
Climate change, increasing population and changes in land use are all rapidly driving the
need to be able to better understand surface water dynamics. The targets set by the United …
need to be able to better understand surface water dynamics. The targets set by the United …
A framework to assess remote sensing algorithms for satellite-based flood index insurance
Remotely sensed data have the potential to monitor natural hazards and their
consequences on socioeconomic systems. However, in much of the world, inadequate …
consequences on socioeconomic systems. However, in much of the world, inadequate …
Automatic detection of impervious surfaces from remotely sensed data using deep learning
The large scale quantification of impervious surfaces provides valuable information for
urban planning and socioeconomic development. Remote sensing and GIS techniques …
urban planning and socioeconomic development. Remote sensing and GIS techniques …
Image similarity-based gap filling method can effectively enrich surface water mapping information
W Huang, F Wang, W Duan, L Tang, J Qin… - ISPRS Journal of …, 2023 - Elsevier
Satellite monitoring is an effective way to obtain the spatiotemporal information for surface
water resources. However, due to problems such as clouds, cloud shadows, and sensor …
water resources. However, due to problems such as clouds, cloud shadows, and sensor …