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This is a book about how ecologists can integrate remote sensing
and GIS in their research. It will allow readers 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. An Introduction to Spatial
Data Analysis introduces spatial data handling using the open
source software Quantum GIS (QGIS). In addition, readers will be
guided through their first steps in the R programming language. The
authors explain the fundamentals of spatial data handling and
analysis, empowering the reader to turn data acquired in the field
into actual spatial data. Readers will learn to process and analyse
spatial data of different types and interpret the data and results.
After finishing this book, readers will be able to address
questions such as "What is the distance to the border of the
protected area?", "Which points are located close to a road?",
"Which fraction of land cover types exist in my study area?" using
different software and techniques. This book is for novice spatial
data users and does not assume any prior knowledge of spatial data
itself or practical experience working with such data sets. Readers
will likely include student and professional ecologists,
geographers and any environmental scientists or practitioners who
need to collect, visualize and analyse spatial data. The software
used is the widely applied open source scientific programs QGIS and
R. All scripts and data sets used in the book will be provided
online at book.ecosens.org. This book covers specific methods
including: what to consider before collecting in situ data how to
work with spatial data collected in situ the difference between
raster and vector data how to acquire further vector and raster
data how to create relevant environmental information how to
combine and analyse in situ and remote sensing data how to create
useful maps for field work and presentations how to use QGIS and R
for spatial analysis how to develop analysis scripts
The Mekong Basin in Southeast Asia is one of the largest
international river basins in the world. Its abundant natural
resources are shared by six riparian countries and provide the
basis for the livelihoods of more than 75 million people. However,
ongoing socio-economic growth and related anthropogenic
interventions impact the region's ecosystems, and there is an
urgent need for the monitoring of the basin's land surface
dynamics. Remote sensing has evolved as a key tool for this task,
allowing for up-to-date analyses and regular monitoring of
environmental dynamics beyond physical or political boundaries and
at various temporal and spatial scales. This book serves as a forum
for remote-sensing scientists with an interest in the Mekong River
Basin to present their recent basin-related works as well as
applied case studies of the region. A broad range of sensors from
high to medium resolution, and from multispectral to SAR systems,
are applied, covering topics such as land cover/land use
classification and comparison, time series analyses of climate
variables, vegetation structure and vegetation productivity, as
well as studies on flood mapping or water turbidity monitoring.
This book was originally published as a special issue of the
International Journal of Remote Sensing.
The Mekong Basin in Southeast Asia is one of the largest
international river basins in the world. Its abundant natural
resources are shared by six riparian countries and provide the
basis for the livelihoods of more than 75 million people. However,
ongoing socio-economic growth and related anthropogenic
interventions impact the region's ecosystems, and there is an
urgent need for the monitoring of the basin's land surface
dynamics. Remote sensing has evolved as a key tool for this task,
allowing for up-to-date analyses and regular monitoring of
environmental dynamics beyond physical or political boundaries and
at various temporal and spatial scales. This book serves as a forum
for remote-sensing scientists with an interest in the Mekong River
Basin to present their recent basin-related works as well as
applied case studies of the region. A broad range of sensors from
high to medium resolution, and from multispectral to SAR systems,
are applied, covering topics such as land cover/land use
classification and comparison, time series analyses of climate
variables, vegetation structure and vegetation productivity, as
well as studies on flood mapping or water turbidity monitoring.
This book was originally published as a special issue of the
International Journal of Remote Sensing.
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 book provides a comprehensive overview of the state of the art
in the field of thermal infrared remote sensing. Temperature is one
of the most important physical environmental variables monitored by
earth observing remote sensing systems. Temperature ranges define
the boundaries of habitats on our planet. Thermal hazards endanger
our resources and well-being. In this book renowned international
experts have contributed chapters on currently available thermal
sensors as well as innovative plans for future missions. Further
chapters discuss the underlying physics and image processing
techniques for analyzing thermal data. Ground-breaking chapters on
applications present a wide variety of case studies leading to a
deepened understanding of land and sea surface temperature
dynamics, urban heat island effects, forest fires, volcanic
eruption precursors, underground coal fires, geothermal systems,
soil moisture variability, and temperature-based mineral
discrimination. 'Thermal Infrared Remote Sensing: Sensors, Methods,
Applications' is unique because of the large field it spans, the
potentials it reveals, and the detail it provides. This book is an
indispensable volume for scientists, lecturers, and decision makers
interested in thermal infrared technology, methods, and
applications.
This volume comprises an outstanding variety of chapters on Earth
Observation based time series analyses, undertaken to reveal past
and current land surface dynamics for large areas. What exactly are
time series of Earth Observation data? Which sensors are available
to generate real time series? How can they be processed to reveal
their valuable hidden information? Which challenges are encountered
on the way and which pre-processing is needed? And last but not
least: which processes can be observed? How are large regions of
our planet changing over time and which dynamics and trends are
visible? These and many other questions are answered within this
book "Remote Sensing Time Series Analyses - Revealing Land Surface
Dynamics". Internationally renowned experts from Europe, the USA
and China present their exciting findings based on the exploitation
of satellite data archives from well-known sensors such as AVHRR,
MODIS, Landsat, ENVISAT, ERS and METOP amongst others. Selected
review and methods chapters provide a good overview over time
series processing and the recent advances in the optical and radar
domain. A fine selection of application chapters addresses
multi-class land cover and land use change at national to
continental scale, the derivation of patterns of vegetation
phenology, biomass assessments, investigations on snow cover
duration and recent dynamics, as well as urban sprawl observed over
time.
This book provides a comprehensive overview of the state of the art
in the field of thermal infrared remote sensing. Temperature is one
of the most important physical environmental variables monitored by
earth observing remote sensing systems. Temperature ranges define
the boundaries of habitats on our planet. Thermal hazards endanger
our resources and well-being. In this book renowned international
experts have contributed chapters on currently available thermal
sensors as well as innovative plans for future missions. Further
chapters discuss the underlying physics and image processing
techniques for analyzing thermal data. Ground-breaking chapters on
applications present a wide variety of case studies leading to a
deepened understanding of land and sea surface temperature
dynamics, urban heat island effects, forest fires, volcanic
eruption precursors, underground coal fires, geothermal systems,
soil moisture variability, and temperature-based mineral
discrimination. 'Thermal Infrared Remote Sensing: Sensors, Methods,
Applications' is unique because of the large field it spans, the
potentials it reveals, and the detail it provides. This book is an
indispensable volume for scientists, lecturers, and decision makers
interested in thermal infrared technology, methods, and
applications.
This is a book about how ecologists can integrate remote sensing
and GIS in their research. It will allow readers 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. An Introduction to Spatial
Data Analysis introduces spatial data handling using the open
source software Quantum GIS (QGIS). In addition, readers will be
guided through their first steps in the R programming language. The
authors explain the fundamentals of spatial data handling and
analysis, empowering the reader to turn data acquired in the field
into actual spatial data. Readers will learn to process and analyse
spatial data of different types and interpret the data and results.
After finishing this book, readers will be able to address
questions such as "What is the distance to the border of the
protected area?", "Which points are located close to a road?",
"Which fraction of land cover types exist in my study area?" using
different software and techniques. This book is for novice spatial
data users and does not assume any prior knowledge of spatial data
itself or practical experience working with such data sets. Readers
will likely include student and professional ecologists,
geographers and any environmental scientists or practitioners who
need to collect, visualize and analyse spatial data. The software
used is the widely applied open source scientific programs QGIS and
R. All scripts and data sets used in the book will be provided
online at book.ecosens.org. This book covers specific methods
including: what to consider before collecting in situ data how to
work with spatial data collected in situ the difference between
raster and vector data how to acquire further vector and raster
data how to create relevant environmental information how to
combine and analyse in situ and remote sensing data how to create
useful maps for field work and presentations how to use QGIS and R
for spatial analysis how to develop analysis scripts
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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