How do you find the green sheep? A critical review of the use of remotely sensed imagery to detect and count animals

[1]  Clive R. McMahon,et al.  Satellites, the All-Seeing Eyes in the Sky: Counting Elephant Seals from Space , 2014, PloS one.

[2]  Jérôme Théau,et al.  Visible and thermal infrared remote sensing for the detection of white‐tailed deer using an unmanned aerial system , 2016 .

[3]  Maria Giaoutzi,et al.  Crowdsourcing as a Tool for Knowledge Acquisition in Spatial Planning , 2014, Future Internet.

[4]  J. Six,et al.  Object-based crop identification using multiple vegetation indices, textural features and crop phenology , 2011 .

[5]  Michael D. Samuel,et al.  Visibility Bias during Aerial Surveys of Elk in Northcentral Idaho , 1987 .

[6]  Steven E. Franklin,et al.  A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery , 2012 .

[7]  Thomas Blaschke,et al.  Object based image analysis for remote sensing , 2010 .

[8]  C. Margules,et al.  Wombats detected from space , 1980 .

[9]  H. Jachmann.  Comparison of aerial counts with ground counts for large African herbivores , 2002 .

[10]  S. Hay,et al.  Mapping the Global Distribution of Livestock , 2014, PloS one.

[11]  M. Larue,et al.  Feasibility of using high‐resolution satellite imagery to assess vertebrate wildlife populations , 2017, Conservation biology : the journal of the Society for Conservation Biology.

[12]  R. D. Ramsey,et al.  Comparison of Three Techniques to Identify and Count Individual Animals in Aerial Imagery , 2016 .

[13]  Dongmei Chen,et al.  Change detection from remotely sensed images: From pixel-based to object-based approaches , 2013 .

[14]  Frederic Maire,et al.  Automated marine mammal detection from aerial imagery , 2013, 2013 OCEANS - San Diego.

[15]  Z. J. Bortolot,et al.  A first assessment of the use of high spatial resolution hyperspectral imagery in discriminating among animal species, and between animals and their surroundings , 2009 .

[16]  Jungho Im,et al.  Synergistic use of QuickBird multispectral imagery and LIDAR data for object-based forest species classification , 2010 .

[17]  Yu Oishi,et al.  Support system for surveying moving wild animals in the snow using aerial remote-sensing images , 2014 .

[18]  Nicolas Lecomte,et al.  Polar Bears from Space: Assessing Satellite Imagery as a Tool to Track Arctic Wildlife , 2014, PloS one.

[19]  Ashbindu Singh,et al.  Review Article Digital change detection techniques using remotely-sensed data , 1989 .

[20]  Andrew Fleming,et al.  Using the unique spectral signature of guano to identify unknown seabird colonies , 2015 .

[21]  P. Koumoutsakos,et al.  Feature point tracking and trajectory analysis for video imaging in cell biology. , 2005, Journal of structural biology.

[22]  N. Pettorelli,et al.  Satellite remote sensing for applied ecologists: opportunities and challenges , 2014 .

[23]  Mark D. Anderson,et al.  Using object-based analysis of image data to count birds: mapping of Lesser Flamingos at Kamfers Dam, Northern Cape, South Africa , 2011 .

[24]  M. Fladeland,et al.  Remote sensing for biodiversity science and conservation , 2003 .

[25]  W. H. Anderson,et al.  An image-processing program for automated counting , 1996 .

[26]  K. Mengersen,et al.  Eliciting Expert Knowledge in Conservation Science , 2012, Conservation biology : the journal of the Society for Conservation Biology.

[27]  Erik Spillum,et al.  Automated image analysis for quantification of filamentous bacteria , 2015, BMC Microbiology.

[28]  Peter T. Fretwell,et al.  Whales from Space: Counting Southern Right Whales by Satellite , 2014, PloS one.

[29]  P. Trathan,et al.  Image analysis of color aerial photography to estimate penguin population size , 2004 .

[30]  R. D. Ramsey,et al.  Spectral Characteristics of Domestic and Wild Mammals , 2012 .

[31]  Karen Anderson,et al.  Lightweight unmanned aerial vehicles will revolutionize spatial ecology , 2013 .

[32]  D. G. Ainley,et al.  A method for estimating colony sizes of Adélie penguins using remote sensing imagery , 2014, Polar Biology.

[33]  Pushchino,et al.  Image Analysis in Microbiology: A Review , 2016 .

[34]  Gerald L. Kooyman,et al.  An Emperor Penguin Population Estimate: The First Global, Synoptic Survey of a Species from Space , 2012, PloS one.

[35]  J. Kadlec,et al.  Aerial estimation of the size of gull breeding colonies , 1968 .

[36]  Zheng Yang,et al.  Spotting East African Mammals in Open Savannah from Space , 2014, PloS one.

[37]  David Pairman,et al.  Semi-automated penguin counting from digital aerial photographs , 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

[38]  M. Dyck,et al.  Testing methods for using high‐resolution satellite imagery to monitor polar bear abundance and distribution , 2015 .

[39]  J. Dowdeswell,et al.  Mapping seabird nesting habitats in Franz Josef Land, Russian High Arctic, using digital Landsat Thematic Mapper imagery , 1998 .

[40]  Brett T. McClintock,et al.  Estimating multispecies abundance using automated detection systems: ice‐associated seals in the Bering Sea , 2014 .

[41]  Gerald L. Kooyman,et al.  Estimating the relative abundance of emperor penguins at inaccessible colonies using satellite imagery , 2007, Polar Biology.

[42]  H. Lynch,et al.  Detection, differentiation, and abundance estimation of penguin species by high-resolution satellite imagery , 2012, Polar Biology.

[43]  Geoff Groom,et al.  Remote sensing image data and automated analysis to describe marine bird distributions and abundances , 2013, Ecol. Informatics.

[44]  P. Terletzky.  Utilizing Remote Sensing and Geospatial Techniques to Determine Detection Probabilities of Large Mammals , 2013 .

[45]  Josiane Zerubia,et al.  An automatic counter for aerial images of aggregations of large birds , 2011 .

[46]  Andrea S. Laliberte,et al.  Automated wildlife counts from remotely sensed imagery , 2003 .

[47]  J. Rotella,et al.  Satellite imagery can be used to detect variation in abundance of Weddell seals (Leptonychotes weddellii) in Erebus Bay, Antarctica , 2011, Polar Biology.

[48]  Johannes E. Schindelin,et al.  Fiji: an open-source platform for biological-image analysis , 2012, Nature Methods.

[49]  R. D. Ramsey,et al.  A Semi-Automated Single Day Image Differencing Technique to Identify Animals in Aerial Imagery , 2014, PloS one.