Pixel interlacing network: a novel approach for multiclass and subcategories land cover change detection DOI
Rashmi Bhattad, Vibha Patel, Usha Patel

et al.

Earth Science Informatics, Journal Year: 2024, Volume and Issue: 18(1)

Published: Dec. 14, 2024

Language: Английский

State-of-the-Art Status of Google Earth Engine (GEE) Application in Land and Water Resource Management: A Scientometric Analysis DOI

Nishtha Sharnagat,

A.K. Nema,

P. K. Mishra

et al.

Journal of Geovisualization and Spatial Analysis, Journal Year: 2025, Volume and Issue: 9(1)

Published: Feb. 26, 2025

Language: Английский

Citations

0
Keeping it cool: a multi-case study of temperature, vegetation, and solar radiation in Ecuadorian schools DOI
Matea Cañizares, Daniel Romero-Álvarez

Cities & Health, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 8

Published: March 10, 2025

Language: Английский

Citations

0
Comprehensive analysis of coastal flood susceptibility, drought severity, and crop water stress using data fusion DOI Creative Commons
Hyeong-Joo Kim, Mahfuzur Rahman, Zulfiqar Hammad

et al.

Geomatics Natural Hazards and Risk, Journal Year: 2025, Volume and Issue: 16(1)

Published: April 4, 2025

Language: Английский

Citations

0
Integrating Google Earth Engine and regional ecological corridor modeling for remote sensing-based urban heat island mitigation in Java, Indonesia DOI
Dimas Danar Dewa, Imam Buchori, Anang Wahyu Sejati

et al.

Remote Sensing Applications Society and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 101573 - 101573

Published: April 1, 2025

Language: Английский

Citations

0
A state-of-the-art review on the quantitative and qualitative assessment of water resources using google earth engine DOI

Rimsha Hasan,

Aditya Kapoor, Rajneesh Kumar Singh

et al.

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(12)

Published: Nov. 28, 2024

Language: Английский

Citations

2
Research Progress in the Application of Google Earth Engine for Grasslands Based on a Bibliometric Analysis DOI Creative Commons
Zinhle Mashaba-Munghemezulu, Lwandile Nduku, Cilence Munghemezulu

et al.

Grasses, Journal Year: 2024, Volume and Issue: 3(2), P. 69 - 83

Published: April 26, 2024

Grasslands cover approximately 40% of the Earth’s surface. Thus, they play a pivotal role in supporting biodiversity, ecosystem services, and human livelihoods. These ecosystems provide crucial habitats for specialized plant animal species, act as carbon sinks to mitigate climate change, are vital agriculture pastoralism. However, grasslands face ongoing threats from certain factors, like land use changes, overgrazing, change. Geospatial technologies have become indispensable manage protect these valuable ecosystems. This review focuses on application Google Earth Engine (GEE) grasslands. The study presents bibliometric analysis research conducted between 2016–2023. Findings reveal significant growth GEE different remote sensing products grassland studies. Most authors reported degradation most countries. Additionally, China leads contributions, followed by United States Brazil. highlights need greater involvement developing countries, particularly Africa. Furthermore, it global distribution efforts, emphasizes broader international participation.

Language: Английский

Citations

0
Pixel interlacing network: a novel approach for multiclass and subcategories land cover change detection DOI
Rashmi Bhattad, Vibha Patel, Usha Patel

et al.

Earth Science Informatics, Journal Year: 2024, Volume and Issue: 18(1)

Published: Dec. 14, 2024

Language: Английский

Citations

0