I have been given an opportunity to be the Editor of a special issue of Remote Sensing (ISSN 2072-4292). This special issue is “Artificial Intelligence and Remote Sensing Applications in Natural Ecology Monitoring” and under the section “Ecological Remote Sensing”.
This issue welcomes original research articles and reviews on the following topics:
(1) Machine learning and deep learning algorithms for extracting and classifying ecological parameters.
(2) Techniques for blending data from multiple sensors, including optical, thermal, radar, and LiDARobservations.
(3) Analyzing time-series data and detecting changes using AI for long-term ecological monitoring.
(3) Real-time monitoring systems integrating various sensors, satellite data, and AI processing.
(4) Species identification, distribution mapping, and biodiversity assessment using AI-enhanced remote sensing.
(5) Detecting ecological disturbances and recovery patterns, including natural and anthropogenic impacts.
(6) Monitoring and predicting ecological responses to extreme events like droughts, fires, and storms.
(7) Quantifying ecosystem services and their spatial-temporal variations using AI approaches.
(8) Improving the interpretability of AI-based ecological monitoring systems and quantifying their uncertainties.
(9) Using edge computing and distributed AI for on-site ecological monitoring in remote areas.
(10) Integrating citizen science and traditional ecological knowledge with AI platforms for community-led monitoring.
Deadline for manuscript submissions: 15 April 2026.
Visit the special section page for more.