Special Issue "Remote Sensing of Ecosystems"
Deadline for manuscript submissions: 28 February 2022.
Interests: remote sensing methodologies and applications in agriculture, water resources, and ecosystems
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Interests: plant biodiversity estimation by LiDAR and hyperspectral data; vegetation structural and ecological variable retrieval and modeling
The remote sensing of ecosystems mainly focuses on the identification of types of ecosystems and their patterns, the monitoring of ecosystem functions, ecosystem services assessment, and the analysis of ecosystem processes by remote-sensing-based methods. The new generation of satellites and sensors provide additional earth observation data sources for ecosystem monitoring. However, the ability to identify ecosystem types still needs to be improved, and efforts need to be placed on intelligent information extraction (in the Big Data era). For ecosystem function monitoring, it is necessary to fully exploit the hidden features of remote sensing data and develop new indicators that are easy to process and reflect the functional characteristics of ecosystems. In addition, advanced models are needed to better assess ecosystem services by analyzing the implicit processes and performance of ecosystems. Combination with cloud platforms is a future trend in remote sensing for ecosystem analysis. This will provide opportunities for public participation in ecological protection, and will provide more data support for the assessment of the ecological effects of key national projects.
This Special Issue aims to publish original research that specifically addresses innovative techniques and methodologies for modelling, mapping, and detecting ecosystem status or evaluating ecosystem services and functions from local to global scales. We invite a wide range of contributions with multidisciplinary research about the following topics (not an exhaustive list):
- Land cover/land change detection;
- Ecological parameters and ecosystem functions;
- Ecosystem service assessment;
- Assessment of the ecological effects of key national projects;
- Ecosystem observation instruments and platforms;
- Ecosystem ground observation networks;
- Big data of ecosystems;
- Ecological cloud;
- Remote sensing of biodiversity;
- Remote sensing of forest ecosystems;
- Remote sensing of grassland ecosystems;
- Remote sensing of agricultural ecosystems;
- Remote sensing of wetland ecosystems;
- Remote sensing of urban ecosystems;
- Remote sensing of desert ecosystems;
- Remote sensing of marine ecosystems.
The contributors of this Special Issue are mainly (but not exclusively) from the 1st Academic Symposium on Remote Sensing of Ecosystems, 25–28 November 2021, Shenzhen, China. Website: http://www.ecowatch2021.com/
Prof. Dr. Bingfang Wu
Prof. Dr. Yuan Zeng
Dr. Dan Zhao
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.