Optical Data for Assessing Carbon Dynamics and Biodiversity of Forests

Dear Colleagues,

Forests play a crucial role in sustainable development, ensuring human well-being, a healthy environment, and economic development. Forests produce a large set of ecosystem services which potentially support a green economy, climate change mitigation, biodiversity conservation, and enhancing water quality and combating desertification.

Remote sensing technologies have evolved rapidly in the last few decades, contributing with new sensors and new methods for producing updated and highly detailed information for supporting forest management and planning.

This Special Issue of Remote Sensing is intended to examine the state-of-art in more recent advancements in optical remote sensing (alone or in combination with other sensors) for assessing spatial and temporal dynamics of carbon stocks and sequestration, as well as biodiversity trends in forest ecosystems. We are focused on contributions based on the integration between remotely sensed and field data for estimating forest variables or for feeding ecosystem modeling, as well as for advancements in forest mapping issues. Applications must be based on innovative approaches and rigorous statistical methods and should be based, as far as possible, on large datasets. A theme of special interest is the analysis of temporal dynamics.

Prof. Gherardo Chirici
Guest Editor

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.