Remote Sensing and GIS for Ecologists - Using Open Source Software (Paperback)

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.

General

Imprint:	Pelagic Publishing
Country of origin:	United Kingdom
Series:	Data in the Wild
Release date:	February 2016
First published:	2015
Editors:	Martin Wegmann • Benjamin Leutner • Stefan Dech
Dimensions:	245 x 171 x 19mm (L x W x T)
Format:	Paperback
Pages:	333
ISBN-13:	978-1-78427-022-3
Categories:	Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Ecological science, the Biosphere Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS) Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing
LSN:	1-78427-022-9
Barcode:	9781784270223

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