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Drone Remote Sensing for Tracking Poaching and Wildlife Conservation

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Social Ecology and Sustainability".

Deadline for manuscript submissions: closed (31 May 2021) | Viewed by 330

Special Issue Editor


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Guest Editor
Claire Burke Conservation Technology Consulting, Cambridge, UK
Interests: tackling conservation ecology problems using machine learning (AI); remote sensing; statistical methods; data science and drones

Special Issue Information

Dear Colleagues,

We are currently living through a major ecological crisis—the sixth mass extinction event in the history of life on Earth. The potential impacts for ecosystems and society are huge, and effectively tackling this challenge requires us to understand and protect the Earth’s vital biodiversity. Monitoring wildlife and preventing poaching is fraught with challenges. Wildlife can be reclusive and sparsely distributed, terrain and habitats can be difficult to navigate from the ground, and the lives of those trying to protect vulnerable species can genuinely be in danger.

Drones allow us to fill the gap between satellite- and ground-based observation of wildlife and habitats. They allow us to cover larger areas than can be surveyed by foot or camera trap surveys quickly, and allow for more detail to be resolved than is possible with satellites. With considerate use, drones could be ideal for surveying a wide range of wildlife with minimal disturbance. The potential for quick deployment and observing without needing rangers out in the field also opens up new anti-poaching opportunities.

Drones also offer a versatile platform for multiple remote sensing instruments, allowing us to observe with thermal and conventional cameras simultaneously, or to take advantage of the insight given by multispectral, hyperspectral, and LiDAR sensors. The growth of drone and remote sensing technology coincides with the increasing capability to process large amounts of data automatically with machine learning and data science. By bringing together community efforts in technological hardware and software, we are undergoing a revolution in how we do ecology and conservation.

Whilst drones, the remote sensors we can mount to them, and cutting-edge data processing techniques present great opportunities for new insights and innovations in conservation, challenges still remain in this rapidly growing area of research. In this Special Issue, we will bring together progress in the use of these new technologies, discuss the challenges remaining to their widespread use, and present new findings from drone-based remote sensing.

Dr. Claire Burke
Guest Editor

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 submissions that pass pre-check are 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. Sustainability 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.

Keywords

  • drones
  • conservation technology
  • remote sensing
  • thermal imaging
  • machine learning
  • wildlife monitoring
  • wildlife surveys
  • poaching
  • habitat loss

Published Papers

There is no accepted submissions to this special issue at this moment.
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