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2013 | OriginalPaper | Chapter

12. Remote Sensing Applications in Forest Inventory

Author : Karan Deo Singh

Published in: Capacity Building for the Planning, Assessment and Systematic Observations of Forests

Publisher: Springer Berlin Heidelberg

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Abstract

This Chapter presents an overview of practical applications of remote sensing in forest inventory and planning. Satellite data and aerial photographs are the most commonly used data sources; Lidar is yet in the research stage. For interpretation, both visual and /or digital image processing techniques are being used. The correlation between remote sensing and field based measurements of height, crown density and volume per ha based on aerial photo-interpretation is described in order to set the limits of what data can be obtained with the help of remote sensing. Finally, a case study of method and accuracy of nationwide forest classification and mapping using Indian Remote Sensing Satellite data is presented to serve as an example.

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Metadata
Title
Remote Sensing Applications in Forest Inventory
Author
Karan Deo Singh
Copyright Year
2013
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-32292-1_12