Special Issue "Environmental Mapping Using Remote Sensing"
Deadline for manuscript submissions: 31 December 2020.
Interests: surficial/geologic mapping; wetlands; crop monitoring; land use; change detection; forest mapping; GIS; machine learning; UAV; coastal mapping
Interests: surficial mapping; bedrock mapping; biophysical mapping; 2D and 3D mapping
Remote sensing for mapping of the environment comprises many different applications ranging from 2D and 3D geologic and biophysical mapping to monitoring change. Both visual interpretation of enhanced imagery and various machine learning algorithms can be employed to assist in mapping activities, as well as identifying various type of hazards. This Special Issue comprises papers centered around mapping various aspects of the environment using remotely sensed data in concert with a wide range of tools, such as deep learning, machine learning, and advanced classification methods. This Special Issue will make special reference to the newly available satellite images from the Sentinel program and the new Landsat images, as well as images from PlanetScope, WorldView, and other commercial satellites. Papers using UAV or other aerial systems are also welcome.
Prof. Dr. Brigitte Leblon
Dr. Jeff Harris
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 2200 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.
- organic terrain
- environmental damage
- surficial mapping
- bedrock mapping
- biophysical mapping
- 2D and 3D mapping
- crop monitoring
- forest mapping
- hazards mapping
- machine learning
- artificial intelligence