Extracting Canopy Surface Texture from Airborne Laser Scanning Data for the Supervised and Unsupervised Prediction of Area-Based Forest Characteristics
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Title
Extracting Canopy Surface Texture from Airborne Laser Scanning Data for the Supervised and Unsupervised Prediction of Area-Based Forest Characteristics
Authors
Keywords
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Journal
Remote Sensing
Volume 8, Issue 7, Pages 582
Publisher
MDPI AG
Online
2016-07-11
DOI
10.3390/rs8070582
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- (2013) Ibrahim Ozdemir et al. FOREST ECOLOGY AND MANAGEMENT
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- (2013) Petteri Packalen et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Exploring horizontal area-based metrics to discriminate the spatial pattern of trees and need for first thinning using airborne laser scanning
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- A Statistical Approach to Material Classification Using Image Patch Exemplars
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- An adaptive inverse-distance weighting spatial interpolation technique
- (2008) George Y. Lu et al. COMPUTERS & GEOSCIENCES
- Object-based semi-automatic approach for forest structure characterization using lidar data in heterogeneous Pinus sylvestris stands
- (2008) C. Pascual et al. FOREST ECOLOGY AND MANAGEMENT
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- (2008) Xiaoye Liu PROGRESS IN PHYSICAL GEOGRAPHY
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