Results 71 to 80 of about 133,736 (373)

Mapping Three Decades of Changes in the Brazilian Savanna Native Vegetation Using Landsat Data Processed in the Google Earth Engine Platform

Remote Sensing, 2020
Widespread in the subtropics and tropics of the Southern Hemisphere, savannas are highly heterogeneous and seasonal natural vegetation types, which makes change detection (natural vs. anthropogenic) a challenging task.
A. Alencar, J. Shimbo, F. Lenti, C. Marques, Bárbara Zimbres, M. Rosa, Vera Arruda, Isabel Castro, João Paulo Fernandes Márcico Ribeiro, V. Varela, Isa Alencar, V. Piontekowski, V. Ribeiro, M. Bustamante, E. Sano, M. Barroso   +15 more
semanticscholar   +1 more source

A Parallel-Cascaded Ensemble of Machine Learning Models for Crop Type Classification in Google Earth Engine Using Multi-Temporal Sentinel-1/2 and Landsat-8/9 Remote Sensing Data

Remote Sensing, 2023
The accurate mapping of crop types is crucial for ensuring food security. Remote Sensing (RS) satellite data have emerged as a promising tool in this field, offering broad spatial coverage and high temporal frequency.
Esmaeil Abdali, M. J. V. Zoej, Alireza Taheri Dehkordi, Ebrahim Ghaderpour   +3 more
semanticscholar   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Citizen Engagement for Social and Technological Innovation in Sustainable Energy Systems

Advanced Energy and Sustainability Research, EarlyView.
This study underscores the potential of citizen participation in the energy transition by providing insights to foster citizen‐driven innovation. An analysis of energy communities, one of the most dynamic innovations in the energy sector, reveals that these models can be citizen‐led initiatives regarding their operational and organizational structure ...
Ana Belén Cristóbal, Cristina Sanz‐Cuadrado, Kiane Alves e Silva, Luis Narvarte   +3 more
wiley   +1 more source

Satellite-Based Crop Typology Mapping with Google Earth Engine

Engineering Proceedings
Crop classification plays a pivotal role in agricultural remote sensing, offering critical insights into planting areas, growth monitoring, and yield evaluation.
Alapati Renuka, Manne Suneetha, Prathipati Vasavi   +2 more
doaj   +1 more source

Collect Earth: Land Use and Land Cover Assessment through Augmented Visual Interpretation

Remote Sensing, 2016
Collect Earth is a free and open source software for land monitoring developed by the Food and Agriculture Organization of the United Nations (FAO). Built on Google desktop and cloud computing technologies, Collect Earth facilitates access to multiple ...
Adia Bey, Alfonso Sánchez-Paus Díaz, Danae Maniatis, Giulio Marchi, Danilo Mollicone, Stefano Ricci, Jean-François Bastin, Rebecca Moore, Sandro Federici, Marcelo Rezende, Chiara Patriarca, Ruth Turia, Gewa Gamoga, Hitofumi Abe, Elizabeth Kaidong, Gino Miceli   +15 more
doaj   +1 more source

Evapotranspiration Mapping for Forest Management in California's Sierra Nevada [PDF]

, 2020
We assessed the response of densely forested watersheds with little apparent annual water limitation to forest disturbance and climate variability, by studying how past wildfires changed forest evapotranspiration, and what past evapotranspiration ...
Bales, Roger C, Ma, Qin, Roche, James W, Rungee, Joseph   +3 more
core  

Combining information seeking services into a meta supply chain of facts [PDF]

, 2008
The World Wide Web has become a vital supplier of information that allows organizations to carry on such tasks as business intelligence, security monitoring, and risk assessments.
Chau, Michael, Roussinov, Dmitri
core   +3 more sources

Extracting Time-Series of Wet-Snow Facies in Greenland Using Sentinel-1 SAR Data on Google Earth Engine [PDF]

, 2022
Jiao Hu, Tingbin Zhang, Xiaobing Zhou, Liming Jiang, Guihua Yi, Bo Wen, Yang Chen   +6 more
openalex   +1 more source

Internet of Things‐Based Framework Application at a University Campus Scale: Linking Smart Monitoring Systems and Stormwater Management

Advanced Intelligent Discovery, EarlyView.
This study presents an Internet of Things‐based stormwater monitoring framework piloted at the University of Maryland campus to support Municipal Separate Stormwater Sewer System compliance and adaptive planning. Developed with key campus stakeholders, the framework integrates real‐time sensor deployment, data‐informed insights on runoff and water ...
Qianyao Si, Priscila B. R. Alves, Mitchell A. Pavao‐Zuckerman, Allen P. Davis, Tara Burke, Bryan S. Quinn, Elizabeth M. Bonsignore, Jennifer A. Cotting, Jason Baer, Kaitlyn Peterson, Pierre Gaunaurd, Tamara L. Clegg, David Loshin, Andrew M. Fellows, Taylor Keen, Gerrit J. Knaap, Marccus D. Hendricks   +16 more
wiley   +1 more source