Results 51 to 60 of about 4,305 (184)

An Efficient Framework for Producing Landsat-Based Land Surface Temperature Data Using Google Earth Engine

, 2020
A long time-series land surface temperature (LST) product is useful for ecological and environmental studies. However, current LST products cannot provide a global coverage at a fine spatial resolution (∼100 m) over a long period (>30 years).
Zhang, Zhengjia, He, Guojin, Zhang, Zhaoming, Li, Hua, Liu, Xiuguo, Wang, Mengmeng, Wang, Guizhou, Wu, Zhijie, Hu, Tian   +8 more
core   +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, Volume 2026, Issue 6, June 2026.
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, Jesús Aguirre‐Gutiérrez   +5 more
wiley   +1 more source

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

Ecography, Volume 2026, Issue 6, June 2026.
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, Volume 2026, Issue 6, June 2026.
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

Klasifikasi Tutupan Lahan Menggunakan Google Earth Engine

, 2021
Land cover information is very important information to describe a phenomenon from various aspects that occur on the earth's surface. Land cover information can be obtained using remote sensing technology which can provide spatial information on the ...
Novianti, Tika Christy
core   +1 more source

The Shrinking Caspian Sea: Eco‐Hydrological Responses to Human and Climate Pressures

Earth's Future, Volume 14, Issue 6, June 2026.
Abstract The Caspian Sea, the Earth's largest inland water body, faces water level decline, drawing comparisons to the collapse of the Aral Sea. Unlike the Aral Sea, the relative roles of climatic variability, hydrological changes, and anthropogenic pressures on the Caspian Sea remain poorly understood.
Jesse Duku, Mohammad J. Tourian, Marzi Azarderakhsh, Rovshan Abbasov, Ali Mehran, Ali Torabi Haghighi, Stefanos Xenarios, Azara Boschee, Salih Babagiray, Mojtaba Sadegh, Nima Shokri, Ali Nazemi, Alireza Farahmand, Samaneh Ashraf, Temur Khujanazarov, Elmira Hassanzadeh, Dalal Najib, Daniel Placht, Shamshagul Mashtayeva, Ekaterina Rets, Hamid Norouzi, Kaveh Madani, Manoochehr Shirzaei, Hossein Shafizadeh‐Moghadam, Chiyuan Miao, Ali Mirchi, Shuo Wang, Amir AghaKouchak   +27 more
wiley   +1 more source

Mapping Solar Energy Potential Based on Google Earth Engine (GEE) in West Sumatera Province

Syntax Literate ; Jurnal Ilmiah Indonesia
This study investigates the spatial distribution of solar energy potential in West Sumatera Province using Google Earth Engine (GEE) by integrating Himawari-8 and Sentinel-2 satellite data. The objectives are to identify regions with high solar irradiance and assess land use suitability for solar power plant development. Solar radiation models—DHI, DNI,
Fahrezy Maulana Haz, Fajrin Fajrin, Dwi Arini, Ilham Armi, Defwaldi Defwaldi   +4 more
openaire   +1 more source

GEE-ET

, 2022
GEE-ET is an open-source service for implementing Surface Energy Balance Algorithm for Land (SEBAL) using Google Earth Engine (GEE).THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE.
Saboori, M (via Mendeley Data)
core   +1 more source

The Decline of a Caldera‐Filling Glacier at Volcán Sollipulli, Chile

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 6, June 2026.
Abstract Southern Andean glaciers have undergone fast retreat in recent decades. This results in reduced freshwater storage, contribution to sea‐level rise, and locally to the formation of glacial lakes, that may pose the risk of glacial lake outburst floods (GLOFs).
J. E. Arndt, M. Somos, S. Navas, D. Farías‐Barahona, A. Rivera, H. Xie, A. Fernández   +6 more
wiley   +1 more source

Structural Recovery of Overlooked Shrublands Drives Asymmetric Restoration in Dryland Ecosystems

Earth's Future, Volume 14, Issue 6, June 2026.
Abstract Current remote sensing of dryland ecosystems is fundamentally limited by a reliance on vegetation indices (“greenness”), which struggle to disentangle mixed pixel signals and fail to capture the non‐photosynthetic structural components critical for resilience.
Xin Lin, Lu Chen, Mingyao Cai, Hongying Chen, Fei Lun, Xin Jiao, Qiangqiang Sun, Danfeng Sun   +7 more
wiley   +1 more source