Google Earth Engine and artificial intelligence (AI): a comprehensive review

L Yang, J Driscol, S Sarigai, Q Wu, H Chen, CD Lippitt - Remote Sensing, 2022 - mdpi.com
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 …

Truths of the Riverscape: Moving beyond command-and-control to geomorphologically informed nature-based river management

G Brierley, K Fryirs - Geoscience Letters, 2022 - Springer
Truths of the Riverscape refer to the use of geomorphological principles to inform
sustainable approaches to nature-based river management. Across much of the world a …

Satellites reveal hotspots of global river extent change

Q Wu, L Ke, J Wang, TM Pavelsky, GH Allen… - Nature …, 2023 - nature.com
Rivers are among the most diverse, dynamic, and productive ecosystems on Earth. River
flow regimes are constantly changing, but characterizing and understanding such changes …

Global observations of riverbank erosion and accretion from Landsat imagery

T Langhorst, T Pavelsky - Journal of Geophysical Research …, 2023 - Wiley Online Library
Riverbank migration has historically been seen as a risk to infrastructure that can be
combated through channelization, bank stabilization, and sediment trapping. The physical …

Assemblages of geomorphic units: A building block approach to analysis and interpretation of river character, behaviour, condition and recovery

K Fryirs, G Brierley - Earth Surface Processes and Landforms, 2022 - Wiley Online Library
A geomorphic unit is a landform that has been created and reworked by a particular set of
earth surface processes. Each geomorphic unit has a particular morphology and sediment …

Deriving planform morphology and vegetation coverage from remote sensing to support river management applications

RJ Boothroyd, M Nones, M Guerrero - Frontiers in Environmental …, 2021 - frontiersin.org
With the increasing availability of big geospatial data (eg, multi-spectral satellite imagery)
and access to platforms that support multi-temporal analyses (eg, cloud-based computing …

Geospatial artificial intelligence (GeoAI) in the integrated hydrological and fluvial systems modeling: Review of current applications and trends

C Gonzales-Inca, M Calle, D Croghan… - Water, 2022 - mdpi.com
This paper reviews the current GeoAI and machine learning applications in hydrological and
hydraulic modeling, hydrological optimization problems, water quality modeling, and fluvial …

Reanimating the strangled rivers of Aotearoa New Zealand

GJ Brierley, D Hikuroa, IC Fuller… - Wiley …, 2023 - Wiley Online Library
Contemporary management practices have artificially confined (strangled) river systems in
Aotearoa New Zealand to support intensified land use in riparian areas. These practices …

[HTML][HTML] Managing erosion and deposition to stabilize a silt-laden river

X Wu, X Feng, B Fu, S Yin, C He - Science of The Total Environment, 2023 - Elsevier
Human regulations are involved in the hydrogeomorphic processes of silt-laden rivers with
unprecedented intensity, and further, affect the structures and functions of the riverine social …

Impact of land use/land cover changes on evapotranspiration and model accuracy using Google Earth engine and classification and regression tree modeling

CB Pande, P Diwate, IR Orimoloye… - … , Natural Hazards and …, 2024 - Taylor & Francis
This research uses a Classification and Regression Tree (CART) model with Google Earth
Engine (GEE) to assess the winter season's land cover and change detection mapping …