Special Issue "Remote Sensing Applications in Vegetation Classification"
Deadline for manuscript submissions: 31 March 2022.
Interests: hyperspectral imaging; vegetation classification; biophysical remote sensing; vegetation index; vegetation condition
Interests: habitats; hyperspectral and multispectral imaging; mapping; multitemporal classification; species; vegetation monitoring; vegetation communities
Interests: vegetation disturbance monitoring; multitemporal analysis; vegetation condition; forests; urban trees
Identification of vegetation and its species and communities is one of the most important issues in its study. One of the ideas of vegetation monitoring is the ability to identify species, communities, and habitats and remote sensing data allow obtaining such information remotely. Remote sensing has been utilized for vegetation inventories for many decades, using airborne and spaceborne remote sensing. At the same time, such techniques allow limiting field research, which is particularly important in protected areas with limited access, as well as inaccessible areas, such as mountains and wetlands. Remote sensing data also play a significant role in mapping species on urban areas, where, due to the legacy of species, it is most often impossible to identify them with the help of ground-based techniques. At the same time, the classification of vegetation is possible thanks to the constantly evolving classification algorithms, sensors, and the increasing possibilities of computer equipment.
Therefore, there is more and more research on the use of remote sensing techniques in this field. We would like to introduce a new Special Issue of Remote Sensing entitled “Remote Sensing Applications in Vegetation Classification”. We welcome submissions which provide the community with the most recent advancements on all aspects of vegetation classification, including but not limited to species, communities, and habitats on urban, agricultural, semi-natural, and natural areas. The Special Issue invites research papers describing the state of the art in the field of vegetation classification at national, continental, or global scales.
Dr. Anna Jarocińska
Dr. Adriana Marcinkowska-Ochtyra
Dr. Adrian Ochtyra
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 papers will be 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 2400 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.
- vegetation communities