Special Issue "Remote Sensing of Tropical Vegetation"
Deadline for manuscript submissions: closed (1 June 2021).
Interests: remote-sensing; forest ecology; global ecosystem ecology; climate change; deep learning; very high resolution
Interests: remote sensing tropical ecology; carbon and water cycling; climate change; machine learning; SAR; LiDAR
Remote sensing data libraries’ accessibility, diversity, quality, and computing capacity increase every day and provide new opportunities to describe the state and functioning of our planet. Long-term observations of terrestrial ecosystems from air and space have allowed a better understanding of ecosystems dynamics globally in the last several decades. This is particularly important for unmanaged ecosystems across the tropics, where difficulty of access and infrastructure have limited the capacity for ground observations and in-situ data. Tropical ecosystems are under increasing pressure due to the expansion of land use activities and are experiencing severe environmental stress from climate change and variability, threatening their functions and services such as carbon cycling and biodiversity. The use of innovative techniques such as recent advances in machine learning, and remote sensing observations that can quantify the stresses on the physical environment and ecological responses of these ecosystems will provide a better understanding of their role in the Earth system and their resilience to environmental threats.
In this Special Issue of Remote Sensing, we welcome research focusing on spatio-temporal observations of humid tropical and subtropical ecosystems from airborne or spaceborne sensors, with particular attention paid to data processing making use of machine learning approaches such as deep learning. The selection of papers for publication will depend on the quality and rigor of research and results. Specific topics include, but are not limited to:
- Time series observations of the ecosystem physical environment (structure, functional traits, and biodiversity);
- Time series observations of the ecosystem function (water, carbon, and energy cycling);
- Understanding and quantifying anthropogenic stresses and ecosystem responses;
- Role of disturbance and recovery (deforestation, fire, degradation) on ecosystem structure, ecological functions, and services;
- Upscaling ground measurements and processes using remote sensing techniques;
- Data fusion of remote sensing data across the frequency spectrum (microwave to optical) and techniques (active and passive);
- Applications of machine-learning and multiscale spatio-temporal analysis of remote sensing and ground observations;
- Next-generation platforms and sensors to address tropical and subtropical ecosystems
Prof. Jean-François Bastin
Prof. Sassan Saatchi
Prof. Ben Sparrow
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.
- ecosystem dynamics
- long-term monitoring
- machine learning
- deep learning
- remote sensing of vegetation
- tropical and sub-tropical biome