Remote Sensing Based Forest Inventories from Landscape to Global Scale II

Dear Colleagues,

Forest resources can play a significant role in addressing the problems posed by global climate change and maintaining global ecological security. Scientifically accurate forest inventory data are essential if we are to observe changes in forests’ ecological functions, particularly those changes related to the spatio-temporal evolution of carbon storage and its impact on carbon sink functions. In the early 1980s, remote sensing technology was initially applied in forest inventory management; when combined with GIS, this method enabled the real-time monitoring of dynamic changes in forest resources and environments. Compared to traditional methods, a remote-sensing-based approach offers numerous advantages, including its macroscopic, dynamic, convenient, and cost-effective nature. Remote sensing has become an indispensable tool in the execution of forestry surveys worldwide, receiving widespread application and acclaim.

This Special Issue aims to explore the application of advanced technologies such as remote sensing, GIS, UAV, and LiDAR in order to obtain forest inventory data in different countries and regions, as well as at various scales and scopes. It will also examine the current status and future trends related to the practical application of these data. Research topics will encompass various aspects of natural and social sciences, including the optimization of remote sensing techniques in forest inventory, the relationship between forests’ ecological functions and human activities, forest management, and the evolution of regional forest carbon storage.

We encourage the submission of research papers that analyze the acquisition or application of forest inventory data from different countries or subregions at the regional or global level. Papers that focus on changes in forests’ ecological functions and key ecological functional areas are particularly welcomed.

Prof. Dr. Liyong Fu
Dr. Ram P. Sharma
Prof. Dr. Guangxing Wang
Dr. Xiaodi 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.