BIP! Finder - Extending Airborne Lidar-Derived Estimates of Forest Canopy Cover and Height Over Large Areas Using kNN With Landsat Time Series Data

2016 • Extending Airborne Lidar-Derived Estimates of Forest Canopy Cover and Height Over Large Areas Using kNN With Landsat Time Series Data

Authors: Oumer S. Ahmed; Steven E. Franklin; Michael A. Wulder; Joanne C. White

Venue: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Type: Publication

Abstract: Airborne light detection and ranging (lidar) data provide an accurate and consistent means to obtain reliable forest canopy cover (CC) and height measurements, which are important in determining forest stand structure, volume, and biomass. Extending CC and height measurements over larger areas by integration with satellite imagery increases the value of airborne lidar data. A typical approach has been to use multiple regression, machine-learning, or regression tree methods to determine relationships between the forest structure variables measur... (read more)

Impact:

6.870462E-9 3.4759013E-9 13 6

/ Attention: 0 6

Topics: Remote sensing

DOI: 10.1109/jstars.2015.2492363

External links: Crossref OpenAIRE

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