📚 Volume 31, Issue 2
📋 ID: xnNRgzm
Authors
Dr. Mei Chen, Dr. Luis Ramírez, Dr. Aisha Patel
, Oluwaseun Ito
Department of Environmental Science, University of Tokyo, Tokyo, Japan; Institute of Ecology, National Autonomous University of Mexico, Mexico City, Mexico; Department of Botany and Plant Sciences, University of Pretoria, Pretoria, South Africa
Keywords
Urban Biodiversity
Remote Sensing
Machine Learning
Green Spaces
Conservation
Abstract
Urban green spaces are vital for maintaining biodiversity within city environments. This study utilizes remote sensing data coupled with machine learning algorithms to assess the impact of green spaces on urban biodiversity. We developed a model that integrates satellite imagery with ecological data to predict species diversity in urban areas. Our findings reveal a positive correlation between the size and diversity of green spaces and the biodiversity they support. This research highlights the importance of preserving and expanding urban green spaces as a strategy for biodiversity conservation.
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📝 How to Cite
Dr. Mei Chen, Dr. Luis Ramírez, Dr. Aisha Patel , Oluwaseun Ito (2024).
"Assessing the Impact of Urban Green Spaces on Biodiversity Using Remote Sensing and Machine Learning".
Wulfenia, 31(2).
