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This book provides a step-by-step guide on how to use various
publicly available remotely sensed time series data sources for
environmental monitoring and assessment. Readers will learn how to
extract valuable information on global changes from a 20-year
collection of ready-to-use remotely sensed data through the free
open statistical software R and its geographic data analysis and
modeling tools. The case studies are from the Mediterranean
region-a designated hot spot regarding climate change effects. Each
chapter is dedicated to specific remote sensing products chosen for
their spatial resolution. The methods used are adapted from
large-scale to smaller-scale problems for different land cover
areas. Features Includes real-world applications of environmental
remotely sensed data Analyzes the advantages and restrictions of
each data source Focuses on a wide spectrum of applications, such
as hydrology, vegetation changes, land surface temperature, fire
detection, and impacts Includes R computer codes with explanatory
comments and all applications use only freely available remotely
sensed data Presents a step-by-step processing through open source
GIS and statistical analysis software Advanced Environmental
Monitoring with Remote Sensing Time Series Data and R describes and
provides details on recent advances concerning publicly available
remotely sensed time series data in environmental monitoring and
assessment. This book is a must-have practical guide for
environmental researchers, professionals, and students.
This volume provides in-depth coverage of the latest in remote
sensing of hydrological extremes: both floods and droughts. The
book is divided into two distinct sections - floods and droughts -
and offers a variety of techniques for monitoring each. With rapid
advances in computer modelling and observing systems, floods and
droughts are studied with greater precision today than ever before.
Land surface models, especially over the entire Continental United
States, can map the hydrological cycle at kilometre and
sub-kilometre scales. In the case of smaller areas there is even
higher spatial resolution and the only limiting factor is the
resolution of input data. In-situ sensors are automated and the
data is directly relayed to the world wide web for many
hydrological variables such as precipitation, soil moisture,
surface temperature and heat fluxes. In addition, satellite remote
sensing has advanced to providing twice a day repeat observations
at kilometre to ten-kilometre spatial scales. We are at a critical
juncture in the study of hydrological extremes, and the GPM and
SMAP missions as well as the MODIS and GRACE sensors give us more
tools and data than were ever available before. A global variety of
chapter authors provides wide-ranging perspectives and case studies
that will make this book an indispensable resource for researchers,
engineers, and even emergency management and insurance
professionals who study and/or manage hydrological extremes.
This volume provides in-depth coverage of the latest in remote
sensing of hydrological extremes: both floods and droughts. The
book is divided into two distinct sections - floods and droughts -
and offers a variety of techniques for monitoring each. With rapid
advances in computer modelling and observing systems, floods and
droughts are studied with greater precision today than ever before.
Land surface models, especially over the entire Continental United
States, can map the hydrological cycle at kilometre and
sub-kilometre scales. In the case of smaller areas there is even
higher spatial resolution and the only limiting factor is the
resolution of input data. In-situ sensors are automated and the
data is directly relayed to the world wide web for many
hydrological variables such as precipitation, soil moisture,
surface temperature and heat fluxes. In addition, satellite remote
sensing has advanced to providing twice a day repeat observations
at kilometre to ten-kilometre spatial scales. We are at a critical
juncture in the study of hydrological extremes, and the GPM and
SMAP missions as well as the MODIS and GRACE sensors give us more
tools and data than were ever available before. A global variety of
chapter authors provides wide-ranging perspectives and case studies
that will make this book an indispensable resource for researchers,
engineers, and even emergency management and insurance
professionals who study and/or manage hydrological extremes.
This book provides a step-by-step guide on how to use various
publicly available remotely sensed time series data sources for
environmental monitoring and assessment. Readers will learn how to
extract valuable information on global changes from a 20-year
collection of ready-to-use remotely sensed data through the free
open statistical software R and its geographic data analysis and
modeling tools. The case studies are from the Mediterranean
region-a designated hot spot regarding climate change effects. Each
chapter is dedicated to specific remote sensing products chosen for
their spatial resolution. The methods used are adapted from
large-scale to smaller-scale problems for different land cover
areas. Features Includes real-world applications of environmental
remotely sensed data Analyzes the advantages and restrictions of
each data source Focuses on a wide spectrum of applications, such
as hydrology, vegetation changes, land surface temperature, fire
detection, and impacts Includes R computer codes with explanatory
comments and all applications use only freely available remotely
sensed data Presents a step-by-step processing through open source
GIS and statistical analysis software Advanced Environmental
Monitoring with Remote Sensing Time Series Data and R describes and
provides details on recent advances concerning publicly available
remotely sensed time series data in environmental monitoring and
assessment. This book is a must-have practical guide for
environmental researchers, professionals, and students.
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