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Special Issue "Monitoring of Forest Ecological Environment based on Remote Sensing Technology"
Deadline for manuscript submissions: 30 November 2020.
Forests play important roles in the production of timber and nontimber forest products, biodiversity conservation of genes, species, and ecosystems, mitigation of climate change, and so on, and they provide various benefits called ecosystem services to human life. However, due to the expansion of human activities and the impact of climate change, forests are rapidly decreasing, and the remaining forests are deteriorating. In order to control the progress of deforestation and forest degradation and to maximize forest ecosystem services, it is necessary to properly monitor forest ecological environments.
The progress of machine learning, including deep learning, and the spread of big data processing technology, such as Google Earth Engine, have made it possible to evaluate forest ecological environments and their changes widely and in detail. In addition, the forest condition can be monitored in detail by restoring the three-dimensional structure of the forest from drone photographs via SfM methods or airborne LiDAR. Moreover, terrestrial LiDAR can visualize the detailed situation in the forest.
In this Special Issue of Remote Sensing, I welcome original and innovative research papers focusing on monitoring of the forest ecological environment and its change from local to global scales based on novel remote sensing technology.
Dr. Yasumasa Hirata
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 2000 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.
- Forest monitoring
- Change detection
- Ecological environment
- Ecosystem services
- Time-series analysis
- 3D structure of forest
- Optical remote sensing
- LiDAR remote sensing