Remote Sensing for Land Use and Vegetation Mapping

Dear Colleagues,

Long-term remote sensing monitoring of land use and vegetation on a global or regional scale is very important for realizing the sustainable development of national socioeconomics and the natural environment. Mapping land use patterns and tracking dynamics of vegetation change is essential for ecosystems gradient mapping from local to global scales as well as for earth surface process modeling through time.

Remote sensing has shown great potential to provide valuable information regarding the patterns, processes, mechanisms and management of land use and vegetation at various spatial and temporal scales. Recent evolutions in terms of high spatial and temporal data availability at low or no cost in the remote sensing community also facilitate information extraction on land use and vegetation with advanced computational methods including cloud processing and machine learning (shallow and deep learning) approaches.

With this Special Issue, we wish to compile state-of-the-art research that specifically addresses various aspects of the land use and vegetation remote sensing: national to global land use and vegetation monitoring, observations of vegetation phenology, spatial pattern and development trend of land use and vegetation, status and management of land use and vegetation, new remote sensing identification technology of land use and vegetation, vegetation distribution and climate change, land use and food security, land use change and urbanization, land use and sustainable development, etc. Contributions in the form of reviews are welcomed, as are papers describing new sensors for measurement.

Prof. Dr. Xiaobin Jin
Dr. Giorgos Mallinis
Dr. Bruce D. Chapman
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.