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Satellite Based Wildlife Monitoring

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".

Deadline for manuscript submissions: closed (30 April 2021) | Viewed by 2492

Special Issue Editor


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Guest Editor
British Antarctic Survey, Natural Environment Research Council, High Cross, Madingley Road, Cambridge CB3 0ET, UK
Interests: geospatial analysis; applied remote sensing across a range of environmental fields; satellite imagery

Special Issue Information

Dear colleagues,

Over the past decade, the use of Earth observation satellites to detect, count and study animals has increased greatly. Improved spatial, spectral, radiometric and temporal resolution has led to studies on many birds and mammals, instigating important breakthroughs and insights for a number key species. These studies have often concentrated on animals in remote locations with high conservation need or over spatial scales too great for the effective use of more traditional techniques. The use of commercial visible very high resolution imagery, with spatial resolution of >1m, has allowed the direct observation of many vertebrates from space, whilst the use of near and short wave infrared has been used to automatically identify environmental indicators in freely available medium-resolution imagery. Challenges to extending the use of this technology have included access to imagery, validation of results, development of automated detection routines and streamlining of the potentially large data volumes needed.

The aim of this Special Issue is to bring together innovative uses and developments in the use of this technology, providing a platform to discuss and disseminate the latest ideas and implementation of satellites to study wildlife from space. Papers on the remote sensing of animals by satellite imagery addressing new insights in the development, application and benefits of the methods and technology are welcome. Articles may include but are not limited to the following topics:

  • The application of new sensors and satellites to the field;
  • Pilot studies on species not previously imaged by satellite;
  • Newly developed counting and detection methodologies;
  • Automation of counting or identification using AI and other methods;
  • Validation studies;
  • Manual counter variance;
  • Hyperspectral or super spectral applications;
  • Upscaling from pilot studies to regional or temporal studies;
  • Crowd sourcing of satellite image counting;
  • New findings and overviews resulting from satellite image data. 

The Special Issue will also welcome reviews of the use of the technology in studying specific families and genera such as pinnipeds, whales, seabirds and terrestrial mammals.

Dr. Peter T Fretwell
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. Sensors 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 2600 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

  • VHR satellites
  • WorldView
  • Landsat
  • Sentinel2
  • Artificial Intelligence
  • Animal population ecology
  • Convoluted neural networks
  • Wildlife monitoring
  • Conservation

Published Papers (1 paper)

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Research

9 pages, 2402 KiB  
Communication
Comparison of Aerial Thermal Infrared Imagery and Helicopter Surveys of Bison (Bison bison) in Grand Canyon National Park, USA
by Jacob D. Hennig, Kathryn A. Schoenecker, Miranda L.N. Terwilliger, Gregory W. Holm and Jeffrey L. Laake
Sensors 2021, 21(15), 5087; https://doi.org/10.3390/s21155087 - 27 Jul 2021
Cited by 2 | Viewed by 1895
Abstract
Aerial thermal infrared (TIR) surveys are an attractive option for estimating abundances of large mammals inhabiting extensive and heterogeneous terrain. Compared to standard helicopter or fixed-wing aerial surveys, TIR flights can be conducted at higher altitudes translating into greater spatial coverage and increased [...] Read more.
Aerial thermal infrared (TIR) surveys are an attractive option for estimating abundances of large mammals inhabiting extensive and heterogeneous terrain. Compared to standard helicopter or fixed-wing aerial surveys, TIR flights can be conducted at higher altitudes translating into greater spatial coverage and increased observer safety; however, monetary costs are much greater. Further, there is no consensus on whether TIR surveys offer improved detection. Consequently, we performed a study to compare results of a TIR and helicopter survey of bison (Bison bison) on the Powell Plateau in Grand Canyon National Park, USA. We also compared results of both surveys to estimates obtained using a larger dataset of bison helicopter detections along the entire North Rim of the Grand Canyon. Observers in the TIR survey counted fewer individual bison than helicopter observers (101 to 127) and the TIR survey cost was 367% higher. Additionally, the TIR estimate was 18.8% lower than the estimate obtained using a larger dataset, while the comparative helicopter survey was 9.3% lower. Despite our small sample size, we found that helicopter surveys are currently the best method for estimating bison abundances in dense canopy cover sites due to ostensibly more accurate estimates and lower cost compared to TIR surveys. Additional research will be needed to evaluate the efficacy of these methods, as well as very high resolution satellite imagery, for bison populations in more open landscapes. Full article
(This article belongs to the Special Issue Satellite Based Wildlife Monitoring)
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