about

Remote Sensing and GIS for Ecologists2textbook: “Remote Sensing and GIS for Ecologists”

edt. by Martin Wegmann, Benjamin Leutner and Stefan Dech

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.

This books explains how to apply remote sensing and GIS to ecological research projects. It will provide practical examples covering each step, from planning through to remote sensing and modelling. Only Open Source software will be used for the examples such as R and QGIS.

Excerpt of the foreword by Woody Turner (NASA):

“.….With this book, Wegmann, Leutner, and Dech […] cleverly couple an exploration of satellite remote sensing with step-by-step immersion in the open source GIS and statistical analysis tools that allow one to make sense of the remote sensing products. In my experience, this book is unique in walking the ecological reader through the actual steps necessary to create their own remotely sensed products. It is more than an introduction to the principles of remote sensing and GIS. It is guide to get the reader going, and using remote sensing and GIS to create focused products. The text also helpfully points to selected websites, articles, and books for deeper informational dives and recommends ways to connect with the geospatial community. I applaud the authors for advancing all ecological disciplines with this text. Through this guidebook, they open the doors to the geospatial revolution that is taking our science and its applications to new heights.

Woody Turner
Program Scientist for Biological Diversity and Program Manager
for Ecological Forecasting, Earth Science Division, NASA Headquarters

 

This webpage

This webpage aims to provide continuous updates of changes in code and content within chapters of our book or code/software updates related to topics dealt with in our book. All news and updates will be posted on our news page.

Help and discussion list

A discussion listserv is setup and will be used to discuss topics within Remote Sensing and GIS for Ecologists:

https://lists.uni-wuerzburg.de/mailman/listinfo/rs-ecology

RemoteSensing_GIS_Ecology_book_Wegmann_Leutner_Horning_validation_spatial_2


Content

authors:

  • Martin Wegmann (UW)
  • Benjamin Leutner (UW)
  • Nathalie Pettorelli (ZSL)
  • Ned Horning (AMNH, author of the book “Remote Sensing for Ecology and Conservation”)
  • Duccio Rocchini (FMACH)
  • Kamran Safi (MPI-O)
  • Björn Reineking (BT)
  • Jan Verbesselt (WUR)
  • Mirjana Bevanda (UW)
  • Fabian Loew (UW)
  • Christian Wohlfart (DLR)

 

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 package R.

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.

 

Order

book_remote_sensing_gis_ecologists_wegmann_leutner_dech

The book can be ordered after the release through any bookstores or online such as:

 


Publication date:

Publisher: Pelagic Publishing

Format:

Price:

£29.99 (Pbk)

£59.99 (Hbk)

ISBN:

978-1-78427-022-3 (Pbk)

978-1-78427-023-0 (Hbk)

978-1-78427-024-7 (ePub)

978-1-78427-025-4 (Kindle)

 

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