2026-10-14T21:07:06Z https://www.scidb.cn/oai

10.57760/sciencedb.29196 2025-08-21T18:04:15Z

2025-08-21 Technological Approach to Invasive Species: The Role of Remote Sensing and Predictive Modeling doi:10.57760/sciencedb.29196 en The dataset provides a global compilation of case studies on invasive species monitoring using remote sensing between 2016 to 2024. It documents species across continents, their study areas, techniques applied, datasets and sensors used, research objectives, ecological impacts, and accuracy assessments. The data reflects diverse methodologies, including UAV imagery, multispectral, hyperspectral, LiDAR, and time-series satellite analysis. It highlights both the potential of advanced machine learning and deep learning methods for scalable detection and the ecological risks posed by invasive plants. References to peer-reviewed studies ensure reliability, making this dataset a valuable resource for ecological monitoring and management strategies. Invasive plant species; remote sensing; predictive modeling; hyperspectral imagery; machine learning; UAV; biodiversity; Sustainable Development Goals (SDGs) Ayushi Gupta Damanti Murmu Leesh Ray Prakash Rajak Akhilesh Singh Raghubanshi Hema Singh PUBLIC https://creativecommons.org/publicdomain/zero/1.0/ dataset Science Data Bank