Remote sensing and GIS are increasingly used as tools for
monitoring and managing forests. Remotely sensed and GIS data are
now the data sources of choice for capturing, documenting, and
understanding forest disturbance and landscape pattern. Sitting
astride the fields of ecology, forestry, and remote sensing/GIS,
Understanding Forest Disturbance and Spatial Pattern: Remote
Sensing and GIS Approaches takes you through the general biological
or landscape ecological context of forest disturbance to remote
sensing and GIS technological approaches and pattern description
and analysis, with compelling applied examples of integration and
synthesis. Written by experts, peer-reviewed to adhere to the
strictest standards and highest quality criteria, these chapters
discuss natural and human-caused forest change and consider factors
such as biological setting, monitoring approaches, scale issues,
and pattern analysis. The book explores forest disturbance and
spatial pattern from an ecological point-of-view within the context
of structure, function, pattern, and change. It concludes with a
summary of the issues related to detection and mapping of forest
disturbances with remotely sensed and GIS data. The authors
elucidate how the elements presented, from ecological
underpinnings, data considerations, change detection method, and
pattern analysis, combine into a problem solving, information
generating approach. You may find this subject covered briefly in a
small sub-section in remote sensing forestry texts, or in limited
technical detail in the ecology literature. The in-depth, detailed
information provided in this book allows you to develop an
understanding of the application of BOTH remote sensing and GIS
technologies to forest change and the impacts of fire, insect
infestation, forest harvesting, and other potential change
influences - such as extreme weather events. This book provides
guidance on how to master the challenges of capturing and
characterizing forest disturbance and spatial patterns.
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