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Open Source Remote Sensing and (Some) GIS for Ecologists

M. Wegmann, B. Leutner and S. Dech (eds.), Remote Sensing and GIS for Ecologists Using Open Source Software. Pelagic Publishing, Exeter, UK. 2016, 333 pp. Cloth, ISBN 978-178427-023-0, US $99.99; Paper, ISBN 978-1-78427-022-3, US $49.99; E-book, ASIN B01BNZMJZE, US $49.99. http://book.ecosens.org/

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References

  • Balkenhol N (ed) (2015) Landscape genetics: concepts, methods, applications. Wiley, Hoboken

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  • Franklin J, Miller JA (2009) Mapping species distributions: spatial inference and prediction. Cambridge University Press, Cambridge

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  • Google Earth Engine Team (2015) Google Earth Engine: a planetary-scale geospatial analysis platform. https://earthengine.google.com

  • Leutner B, Horning N (2016) RStoolbox: tools for remote sensing data analysis. R package version 0.1.4. https://CRAN.R-project.org/package=RStoolbox

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Authors and Affiliations

  1. Nicholas School of the Environment, Duke University, Durham, NC, 27705, USA

    Danica Schaffer-Smith & Jennifer J. Swenson

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  1. Danica Schaffer-Smith
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  2. Jennifer J. Swenson
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Correspondence to Danica Schaffer-Smith.

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Schaffer-Smith, D., Swenson, J.J. Open Source Remote Sensing and (Some) GIS for Ecologists. Landscape Ecol 32, 461–463 (2017). https://doi.org/10.1007/s10980-016-0468-5

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  • DOI: https://doi.org/10.1007/s10980-016-0468-5

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