Remote Sensing and GIS for Ecologists

intermediate level textbook for remote sensing and GIS

focus on coding with R

Getting Started with Spatial Data Analysis

novice level textbook on first steps in spatial data analysis using open source software

for novice users – upcoming 2019

Advanced Remote Sensing Book

advanced level textbook using a wide range of remote sensing data sets (radar, LiDAR, hyperspectral etc.) and Open Source software solutions how to analyze them

upcoming in 2020

“This massive guidebook provides an impressive integration of theoretical concepts of remote sensing, GIS and spatial analysis with practical approaches using a number of field examples, available as free datasets for people to practice on, using open source software throughout for  maximum accessibility. From how to begin with spatial data sampling, all the way through to the final creation of publishable maps and graphics, the book is an invaluable one-stop resource for ecologists, who are now increasingly utilising the power of spatial datasets for research, conservation practice and policy.” Harini Nagendra

Professor of Sustainability, Azim Premji University

“The book is brilliant – a real gem.  It contains some of the best descriptions I’ve seen of planning a GIS/RS research project, steps to follow, statistics and approaches used in species modelling and remote sensing classification. […] I’m definitely going to recommend it to my students.  It is particularly clear and focussed for those interested in using spatial analyses for conservation management questions.” Helen deKlerk

Stellenbosch University

Which book
is best for you?

You are new to spatial data analysis, need to learn everything from scratch and have no coding experiences but want to learn how to get started – preorder this one:

You are already experienced with spatial data handling, know R or coding already, have a good understanding of remote sensing and GIS – try this book:

You are an advanced remote sensing analyst but like to get more details such as LiDAR, radar, data fusion or Deep Learning? then this book is for you:

Sneak peek
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Department of Remote Sensing

University of Wuerzburg

Oswald Külpe Weg 86

97074 Würzburg

contact@book.ecosens.org