Forestry Remote Sensing: Biomass, Changes and Ecology
A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Inventory, Modeling and Remote Sensing".
Deadline for manuscript submissions: closed (19 July 2023) | Viewed by 18880
Special Issue Editors
Interests: forest monitoring; forest scattering mechanisms at microwave bands; crop growth monitoring and identification; forest height inversion using PolInSAR technology
Special Issues, Collections and Topics in MDPI journals
Interests: forest carbon; process based model; ecological remote sensing
Interests: forest biomass estimation; tree species classification; forest height inversion; terrain effects correction
Interests: processing of stacks of polarimetric synthetic aperture radar (PolSAR) images for environmental applications, with a special focus on target detection (e.g., ship and iceberg); change detection (e.g., deforestation), and classification (e.g., land cover)
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Forest biomass, changes, and ecology monitoring is important for characterizing forest growth, mortality, deforestation and associated carbon flux components between forests and the atmosphere. Over the past few years, remote sensing techniques have become the most practical way to assess this at large scales. Currently, significant progress has been made in this field, with well-developed approaches including design-based, model-based, and model-assisted ones and using multi-resource remote sensing data including multispectral, hyperspectral, LiDAR (e.g., the new spaceborne GEDI and ICESat-2), interferometric SAR (InSAR), and polarimetric interferometric SAR (PolInSAR). However, until now, there is a strong investigation into reducing limitations in the analysis of forest remote sensing by exploiting innovative methods and techniques. These new trends aim at increasing the accuracy and generalizability of the monitoring of carbon storage and carbon sequestration potential in forest-covered areas.
Considering the importance and critical requirement for above-mentioned research gaps in forest biomass, changes, and ecology monitoring using remote sensing technology, this Special Issue focuses on collecting new insights, novel approaches and the latest discoveries in the field of forest biomass, carbon storage and carbon sequestration potential estimation. We are also inviting papers on monitoring forest changes, deforestation, and forest ecology.
Prof. Dr. Wangfei Zhang
Dr. Min Yan
Dr. Lei Zhao
Dr. Armando Marino
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. Forests is an international peer-reviewed open access monthly 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 2600 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
- remote sensing
- biomass estimation
- changes detection
- ecology monitoring
- carbon storage
- carbon sequestration potential estimation