Applications of Remote Sensing to Forest Ecology and Environmental Monitoring
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Environmental Sustainability and Applications".
Deadline for manuscript submissions: closed (20 June 2023) | Viewed by 16924
Special Issue Editor
Interests: remote sensing of vegetation ecosystem structure and functioning; land cover dynamics; ecoinformatics; ecosystem restoration and conservation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Forest ecosystem is the most active terrestrial ecosystem that possessing exceptional value for global biodiversity conservation, ecosystem services and human well-being. Forest degradation and biodiversity losses caused by land conversion and over-use have strongly increased since the mid-20th century in many forested localities globally. Meanwhile, forest transitions, defined as a shift from net deforestation to net reforestation, have occurred widely and rapidly over recent decades. Reforestations including both active tree planation and spontaneously natural regeneration are expected to have considerable potential to contribute to climate mitigation, biodiversity conservation, and sustainable development goals. Remote sensing technology has tremendous potential to map, quantify, and monitor forest change at various spatial and temporal scales. Advanced studies on applications of remote sensing to a broad scope of forest ecology and environmental monitoring will help people improve global forest management, and guide future ecosystem restoration and sustainable development.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but not limited to) the following:
- Reviews on remote sensing applications to forest ecology and conservation.
- Study on forest ecosystem dynamics (e.g., deforestation/degradation, greening, carbon sequestration) using multi-source remote sensing (e.g., unmanned aerial vehicle (UAV), airborne, and satellite) at local, regional, and global scales.
- Remote sensing methods or tools (e.g., new models, metrics, and data processing applications) developed for forest ecological and environmental monitoring by addressing key ecological processes and policies on forest management, conservation, and restoration.
- Study on forest ecosystems that relevant to nature-based solutions for climate change and biodiversity crisis by cooperating remote sensing with field surveys.
- Quantitative estimation on essential biodiversity variables (EBVs) in forest ecosystems using remote sensing, field measurements, and machine learning.
- Spatial-temporal analysis of forest functional traits and diversity and their associated environmental drivers.
- High-resolution mapping on forest functional types, species types, and management types.
I look forward to receiving your contributions.
Dr. Wang Li
Guest Editor
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Keywords
- remote sensing
- forest management
- environmental monitoring
- biodiversity
- ecosystem restoration
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