Results 191 to 200 of about 84,002 (283)

Research on water body information extraction and monitoring in high water table mining areas based on Google Earth Engine. [PDF]

Sci Rep
Zhong A, Wang Z, Gen Y.
europepmc   +1 more source

Satellite hindcasts of foliar traits reveal a subtle but consistent relaxation of conservativeness in a biodiverse mountain grassland over the last four decades

Ecography, EarlyView.
Projected warming and drying raise concerns about the resilience of stress‐adapted ecosystems, including the Brazilian Campo Rupestre, an exceptionally biodiverse mountaintop grassland mosaic on ancient, nutrient‐poor substrates. Here, we combine field‐based trait data and long‐term remote sensing to assess the functional structure and temporal ...
Renata Maia, Milton Barbosa, Daniel Negreiros, Geraldo Wilson Fernandes, Yadvinder Malhi, Jesus Aguirre‐Gutiérrez   +5 more
wiley   +1 more source

Utilizing UAV and orthophoto data with bathymetric LiDAR in google earth engine for coastal cliff degradation assessment. [PDF]

Sci Rep
Tysiąc P, Ossowski R, Janowski Ł, Moskalewicz D.   +3 more
europepmc   +1 more source

Vegetation on the move: elevational shifts and greening dynamics across the Himalayan alpine zone

Ecography, EarlyView.
This study investigates alpine ‘vegetation line' (the upper limit of continuous plant community) dynamics in the Himalayan alpine zone (HAZ) over a 24‐year timescale (1999–2022) using maximum NDVI products derived from Landsat series datasets, adjusted for sampling bias using phenological modelling.
Ruolin Leng, Stephan Harrison, Dominic Fawcett, Achyut Tiwari, Mike Harrison, Karen Anderson   +5 more
wiley   +1 more source

Harnessing the power of machine and deep learning for transferring joint species distribution models considering the structure of biotic interactions

Ecography, EarlyView.
The transferability of single or joint species distribution models ((j)SDMs) depends on their ability to predict beyond the observed environmental range and to remain consistent despite shifts in biotic interactions. Transfer accuracy may be improved by recent advances in the application of deep learning that provide greater flexibility and potentially
Marco Basile, Maximilian Pichler, Francesco Valerio, Lorenzo Balducci, Francesco Chianucci, Sérgio Godinho, Francesco Rota, Frédéric Archaux, Christophe Bouget, Gediminas Brazaitis, Thomas Campagnaro, Ettore D'Andrea, Luc De Keersmaeker, Wouter Dekoninck, Pallieter De Smedt, Zoltán Elek, Itziar García‐ Mijangos, Frédéric Gosselin, Marion Gosselin, Andrin Gross, Elena Haeler, Sebastian Kepfer‐ Rojas, Nathalie Korboulewsky, Daniel Kozák, Thibault Lachat, Carlos Miguel Landivar Albis, Anja Leyman, Xiang Liu, Anders Mårell, Radim Matula, Martin Mikoláš, Péter Ódor, Yoan Paillet, Kastytis Šimkevičius, Tommaso Sitzia, Silvia Stofer, Nicolas Strebel, Miroslav Svoboda, Flóra Tinya, Mariana Ujházyová, Kris Vandekerkhove, Kris Verheyen, Michael Wohlwend, Fotios Xystrakis, Sabina Burrascano   +44 more
wiley   +1 more source

Modeling land use and land cover dynamics of Bale Mountains National Park using Google Earth Engine and cellular automata-artificial neural network (CA-ANN) model. [PDF]

PLoS One
Tiye FS, Korecha D, Gutema TM, Gemeda DO.   +3 more
europepmc   +1 more source

Nature‐Based Solutions for Climate Adaptation: Review of Barriers to Adoption and Guidelines for Policymakers

Environmental Policy and Governance, EarlyView.
ABSTRACT Nature‐based solutions (NBS) for climate adaptation encompass a range of approaches that work with nature to increase resilience to climate change while providing ecological, economic and social co‐benefits. These solutions have frequently been put forward for application in urban contexts, such as the creation of urban forests, but can ...
Anita Vollmer, Stefano Ceolotto, Niall Farrell   +2 more
wiley   +1 more source

Surface water monitoring from 1984 to 2021 based on Landsat time-series images and Google Earth Engine. [PDF]

Heliyon
Zhao B, Wang L.
europepmc   +1 more source

AI‐driven circular economy optimization in waste management: A review of current evidence

Environmental Progress &Sustainable Energy, EarlyView.
Abstract The integration of artificial intelligence (AI) and machine learning (ML) in waste management has the potential to significantly advance circular economy objectives by enhancing efficiency, reducing waste, and optimizing resource recovery. However, realising these benefits depends on addressing significant technical, economic, and systemic ...
David Bamidele Olawade, Ram Narayan Yadav, James O Ijiwade, Ojima Z. Wada   +3 more
wiley   +1 more source

Assessment of groundwater potential zones in Kuwait's semi-arid region: a hybrid approach of multi-criteria decision making, Google earth engine, and geospatial techniques. [PDF]

Sci Rep
Atalla MA, Shebl A, Ðurin B, Kranjčić N, AlMetwaly WM.   +4 more
europepmc   +1 more source