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Remote Sensing and GIS for Ecologists : Using Open Source Software

By: (Edited by) Benjamin Leutner , (Edited by) Martin Wegmann , (Edited by) Stefan Dech

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Ksh 12,550.00

Format: Hardback or Cased Book

ISBN-10: 1784270237

ISBN-13: 9781784270230

Series: Data in the Wild

Publisher: Pelagic Publishing

Imprint: Pelagic Publishing

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Feb 1st, 2016

Print length: 352 Pages

Weight: 934 grams

Dimensions (height x width x thickness): 17.90 x 25.00 x 2.40 cms

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This book will allow ecologists to get started with the application of remote sensing and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from planning field campaigns to deriving ecologically relevant information through remote sensing and modelling of species distributions.

This is a book about how ecologists can integrate remote sensing and GIS in their daily work. It will allow ecologists to get started with the application of remote sensing and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from planning field campaigns to deriving ecologically relevant information through remote sensing and modelling of species distributions.


All practical examples in this book rely on OpenSource software and freely available data sets. Quantum GIS (QGIS) is introduced for basic GIS data handling, and in-depth spatial analytics and statistics are conducted with the software packages R and GRASS.

Readers will learn how to apply remote sensing within ecological research projects, how to approach spatial data sampling and how to interpret remote sensing derived products. The authors discuss a wide range of statistical analyses with regard to satellite data as well as specialised topics such as time-series analysis. Extended scripts on how to create professional looking maps and graphics are also provided.


This book is a valuable resource for students and scientists in the fields of conservation and ecology interested in learning how to get started in applying remote sensing in ecological research and conservation planning.


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