Results 1 to 10 of about 83,337 (283)

Remote Monitoring of Coffee Leaf Miner Infestation Using Fuzzy Logic and the Google Earth Engine Platform

AgriEngineering
The coffee leaf miner (Leucoptera coffeella) is a major pest of coffee crops and can cause significant economic losses. Early monitoring is essential to support decision-making for its control.
Laura Teixeira Cordeiro, Emerson Ferreira Vilela, Jéssica Letícia Abreu Martins, Charles Cardoso Santana, Filipe Schitini Salgado, Gislayne Farias Valente, Diego Bedin Marin, Christiano de Sousa Machado Matos, Rogério Antônio Silva, Margarete Marin Lordelo Volpato, Madelaine Venzon   +10 more
doaj   +1 more source

Land Use Dynamics Using Google Earth Engine

The South East Asian Journal of Advance Engineering and Technology
Land use change is a critical issue in rapidly developing cities, driven by population growth and urban expansion. This study analyzes land use dynamics in Padang City, West Sumatera, using Sentinel-2 imagery from 2020-2022, and 2024 processed on the Google Earth Engine platform.
Sinta Dewi Siregar, null Fajrin, Ilham Armi, Dwi Marsiska Driptufany, Dwi Arini   +4 more
openaire   +1 more source

Forest Cover Prediction using Google Earth Engine

Abstract One of the most significant biogeographical zones in the world is the Similipal Tiger Reserve, which is situated in northeastern India. This reserve is located between latitudes 20°17'N and 22°34'N and longitudes 85°40'E and 87°10'E.
Rashmi Ranjan Das, Debabrata Nandi, Hemant Kumar Sahu   +2 more
openaire   +1 more source

ANÁLISE MULTITEMPORAL DE FOCOS DE QUEIMADAS E VARIÁVEIS CLIMÁTICAS, NO ESTADO DO PARÁ

Revista Geográfica Acadêmica, 2020
As queimadas estão entre os principais problemas ambientais no Brasil, sendo considerado um dos fatores primordiais na destruição e ameaça a biodiversidade.
Karla de Souza Santos, Dayane Dantas da Silva, Ricardo José de Paula Souza e Guimarães   +2 more
doaj  

GOOGLE EARTH ENGINE: UMA ANÁLISE BIBLIOMÉTRICA DA PRODUÇÃO CIENTÍFICA

Boletim Geográfico do Rio Grande do Sul
O sensoriamento remoto combinado com a plataforma de computação em nuvem Google Earth Engine (GEE) é uma alternativa promissora, rápida e fácil para análise de grandes áreas por amplos períodos.
Eléia Righi, Pâmela Boelter Herrmann, Francisco da Silva Costa, Clódis de Oliveira Andrades Filho   +3 more
doaj  

Assessing Land Cover Changes Using the LUCAS Database and Sentinel Imagery: A Comparative Analysis of Accuracy Metrics

Applied Sciences
Classification of remote sensing images using machine learning models requires a large amount of training data. Collecting this data is both labor-intensive and time-consuming. In this study, the effectiveness of using pre-existing reference data on land
Beata Hejmanowska, Piotr Kramarczyk
doaj   +1 more source

Comparing Cloud Mask Products for Seagrass Mapping Over Sentinel‐2 Imagery: Toward a First National Seagrass Map for Venezuela

Journal of Geophysical Research: Machine Learning and Computation
Despite providing many valuable ecosystem services, seagrasses are a threatened habitat and their global distribution is not fully known. For example, Venezuela lacks a national seagrass map.
Chengfa Benjamin Lee, Ana Carolina Peralta Brichtova, Mar Roca, Tylar Murray, Oswaldo David Bolivar Rodriguez, Daniele Cerra, Frank E. Muller‐Karger   +6 more
doaj   +1 more source

Spatiotemporal-based automated inundation mapping of Ramsar wetlands using Google Earth Engine. [PDF]

Sci Rep, 2023
Goyal MK, Rakkasagi S, Shaga S, Zhang TC, Surampalli RY, Dubey S.   +5 more
europepmc   +1 more source

Angewandte Fernerkundung mit der Google Earth Engine

Published by Geographisches Institut der RWTH Aachen ...
openaire   +3 more sources

Comprehensive study of algal blooms variation in Jiaozhou Bay based on google earth engine and deep learning. [PDF]

Sci Rep, 2023
Guan B, Ning S, Ding X, Kang D, Song J, Yuan H.   +5 more
europepmc   +1 more source