Mapping Forest Dynamics Using Multi-Source Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: closed (10 December 2019)
Special Issue Editors
Interests: remote sensing; forest disturbances; GEOBIA; spatial ecology
Special Issues, Collections and Topics in MDPI journals
Interests: carbon monitoring; ecosystem structure and functioning; land dynamics; lidar; ecological modeling; spatial analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Forest ecosystems are increasingly affected by a variety of environmental and anthropogenic disturbances, such as fire, drought, insect and disease outbreaks, logging, and urban development. Although almost none of those disturbances are new, a growing number of studies confirmed that their intensity and frequency have substantially increased over the past decades. Consequently, a prior disturbance regime is likely to influence the response of a forest ecosystem to a new disturbance, resulting in complex, interacting disturbances. While single sensors in remote sensing often face challenges to capture such disturbances and the process of post-disturbance recovery, a growing fleet of sensors with diverse spatial, temporal, spectral and radiometric resolutions has significantly augmented our earth observation capabilities.
This Special Issue aims to review and synthesize the latest, leading-edge advances in mapping forest dynamics using multi-source remote sensing. Original research articles are solicited over a wide range of topics which may focus on, but are not limited to:
- Mapping large-scale disturbances causing extensive tree damage (e.g., changes in tree structure, canopy cover, biomass and carbon storage)
- Monitoring stresses affecting forest health (e.g., photosynthesis and phenology)
- Assessing causes of disturbances/stresses
- Forest recovery mapping and analysis
- Integrating a new generation of sensors for tracking forest dynamics
- New strategies or algorithms to synergize multi-source data
Dr. Gang Chen
Dr. Kaiguang Zhao
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- Forest disturbances
- Causes of disturbances or stresses
- Post-disturbance recovery
- Multi-source data integration
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