Remote Sensing and Ecosystem Modeling for Nature-Based Solutions

Dear Colleagues,

Nature-based solutions (NbCS) represent sustainable planning and environmental management that weave natural features or processes to promote carbon neutrality, climate change adaptation, and meteorological extreme resilience. Potential pathways involve increasing carbon storage through afforestation/reforestation or reducing carbon emissions by halting deforestation. Assessing NbCS benefits and impacts requires advanced understanding of current forest dynamics and responses to climate change.

Remote sensing offers accurate observations at large spatial scales on land surface change, forest structure and distribution, carbon, water and energy fluxes. Such a rich suite of data can monitor forest functioning in response to changing climate and environmental stress (e.g., drought, heat waves, and wildfire). It can also facilitate modeling of forest biophysical and biogeochemical processes in processes based ecosystem models by improving initialization conditions or underlying assumptions.

This Special Issue seeks submissions that explore the use of remote sensing and ecosystem modeling to quantify carbon mitigation potential, evaluate vulnerability and resilience to climate change, and assess the implementations of NbCS. We welcome research that focuses on improving remote sensing techniques and products for monitoring forest biogeochemical cycle, ecohydrological and energy budget, as well as work that integrates remote sensing with empirical or process-based modeling that can contribute to understanding the role of nature-based solutions in achieving carbon neutrality, climate change adaptation, and meteorological extreme resilience.

Dr. Lei Ma
Dr. Aolin Jia
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 250 words) can be sent to the Editorial Office for assessment.

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.