Successful remote sensing methods and applications are rooted in
the science, art, and technology of earth observation, part of the
larger emerging world of geographical information science. Sensors
are increasingly sensitive to the phenomena we wish to observe and
image analysis systems are increasingly able to transform the data
and deliver the required information. At the same time, advances in
forest science and management continue to develop momentum. A
renewed commitment to understanding forests at different scales and
with a process-based perspective has helped generate demand for
information about forests that is feasibly acquired only by remote
sensing.
Remote Sensing of Forest Environments: Concepts and Case Studies
is an edited volume intended to provide readers with a
state-of-the-art synopsis of the current methods and applied
applications employed in remote sensing the world's forests. The
contributing authors have sought to illustrate and deepen our
understanding of remote sensing of forests, providing new insights
and indicating opportunities that are created when forests and
forest practices are considered in concert with the evolving
paradigm of remote sensing science. Following background and
methods sections, this book introduces a series of case studies
that exemplify the ways in which remotely sensed data are
operationally used, as an element of the decision-making process,
and in the scientific study of forests.
Remote Sensing of Forest Environments: Concepts and Case Studies
is designed to meet the needs of a professional audience composed
of both practitioners and researchers. This book is also suitable
as a secondary text for graduate-level students in Forestry,
Environmental Science, Geography, Engineering, and Computer
Science.
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