Forest and Agro-Ecosystem Monitoring under Climate Change Based on Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Forest Remote Sensing".
Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 4512
Special Issue Editors
Interests: land use and land cover changes (LULCC) using optical/microwave remotely sensed data; quantitative biophysical estimation of rice with canopy radiative transfer model; simulation of carbon/nitrogen/water cycles in agro-ecosystem using process-based biogeochemical model
Interests: landscape; urban forest; forest; forest monitoring; forest heterogeneity; managed and unmanaged forests
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Forest and agroecosystems are critical for sustaining life on earth, and their proper management is essential to mitigate climate change effects. However, these systems are under constant threat from climate change, which is causing changes in vegetation patterns and affecting ecosystem services. Remote sensing technologies can provide valuable information on vegetation patterns, growth rates, and the overall health of forests and agroecosystems. The use of remote sensing has enabled researchers to analyze the patterns and dynamics of land cover changes, vegetation growth, and productivity. Policymakers and researchers can identify areas that require immediate attention and take necessary actions to mitigate the impacts of climate change. The data obtained through remote sensing can aid in decision making for managing forest- and agro-ecosystems. The proper management of these ecosystems can help to reduce greenhouse gas emissions and enhance carbon sequestration, thereby mitigating climate change.
This Special Issue aims to explore the latest advancements in remote sensing technologies for forest monitoring and management for improving our understanding of forest ecosystems. The subject matter of this Special Issue aligns perfectly with the scope of Remote Sensing, which focuses on publishing research on the acquisition, processing, analysis, and interpretation of remote sensing data. This Special Issue provides a platform for researchers to showcase their work, exchange ideas, and collaborate on future research endeavours related to forest remote sensing.
Therefore, multisource remote sensing data integration (e.g., multispectral, hyperspectral, and thermal) and multiscale approaches and models focused on forest ecosystem monitoring are welcome. This Issue covers a range of topics, such as:
- Forest health assessment;
- Forest biomass estimation;
- Forest structure mapping;
- Forest change detection;
- Forest restoration and conservation.
Dr. Yuan Zhang
Dr. Mauro Maesano
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
- remote sensing
- vegetation indices
- forest productivity
- climate change
- carbon sequestration
- forest types and species mapping
- forest disturbance detection
- biomass estimation
- deforestation monitoring
- forest health assessment
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