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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.
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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