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Remote Sensing Applications in Forest Inventory

  • Karan Deo Singh
Chapter
Part of the Environmental Science and Engineering book series (ESE)

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.

Keywords

Aerial Photograph Forest Inventory Canopy Density Airborne Laser Scanning Double Sampling 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Recommended Further Reading

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Academy of Forest and Environmental SciencesNew DelhiIndia

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