Topic Editors

Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
College of Forestry and Grassland, Nanjing Forestry University, Nanjing 210037, China

Artificial Intelligence, Remote Sensing and Digital Twin Driving Innovation in Sustainable Natural Resources and Ecology

Abstract submission deadline
31 October 2026
Manuscript submission deadline
31 January 2027
Viewed by
69

Topic Information

Dear Colleagues,

Developing artificial intelligence and advancing “artificial intelligence science” are key strategic initiatives to accelerate the transformation of science and intelligence and enhance the intelligent management of natural resources and ecosystems. We will systematically leverage cutting-edge technologies such as big data, large models, the Internet of Things, remote sensing, and digital twins to achieve deep integration and practical application of AI in various fields, including intelligent breeding, intelligent perception and monitoring, intelligent management, intelligent ecosystem diagnosis, and intelligent conservation and innovative utilization of natural resources.

This Topic focuses on utilizing artificial intelligence, big data, large models, the Internet of Things, remote sensing, digital twins, and other technologies to carry out breeding, monitoring, management, evaluation, and decision support for natural resources and ecosystems. It includes, but is not limited to, the following: monitoring forest cover, vegetation, land use changes, mineral resource development, biodiversity, predicting ecological risks of climate change, and assessing the effects of ecological restoration through remote sensing and AI technology. It also includes simulating tree growth and constructing ecosystem models using digital twin technology to support precise agricultural management (soil moisture, pests, etc.), identifying and predicting change trends in advance, and assisting in precise agricultural and forestry management.

Prof. Dr. Huaiqing Zhang
Prof. Dr. Ting Yun
Topic Editors

Keywords

  • artificial intelligence
  • big data
  • Internet of Things
  • large language models (LLMs)
  • remote sensing
  • digital twin

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Sustainability
sustainability
3.3 7.7 2009 19.3 Days CHF 2400 Submit
Remote Sensing
remotesensing
4.1 8.6 2009 24.9 Days CHF 2700 Submit
Forests
forests
2.5 4.6 2010 17.1 Days CHF 2600 Submit
Applied Sciences
applsci
2.5 5.5 2011 19.8 Days CHF 2400 Submit
Computation
computation
1.9 4.1 2013 16.7 Days CHF 1800 Submit

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