Synergistic use of QuickBird multispectral imagery and LIDAR data for object-based forest species classification
Top Cited Papers
- 15 June 2010
- journal article
- Published by Elsevier BV in Remote Sensing of Environment
- Vol. 114 (6), 1141-1154
- https://doi.org/10.1016/j.rse.2010.01.002
Abstract
No abstract availableKeywords
This publication has 32 references indexed in Scilit:
- Object-based Analysis of Ikonos-2 Imagery for Extraction of Forest Inventory ParametersPhotogrammetric Engineering & Remote Sensing, 2006
- Mapping woodland species composition and structure using airborne spectral and LiDAR dataInternational Journal of Remote Sensing, 2005
- Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scalesRemote Sensing of Environment, 2005
- Accuracy of Airborne Lidar-Derived ElevationPhotogrammetric Engineering & Remote Sensing, 2004
- Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready informationISPRS Journal of Photogrammetry and Remote Sensing, 2004
- Processing hyperion and ali for forest classificationIEEE Transactions on Geoscience and Remote Sensing, 2003
- National Park vegetation mapping using multitemporal Landsat 7 data and a decision tree classifierRemote Sensing of Environment, 2003
- Detection and analysis of individual leaf-off tree crowns in small footprint, high sampling density lidar data from the eastern deciduous forest in North AmericaRemote Sensing of Environment, 2003
- Airborne laser scanning: basic relations and formulasISPRS Journal of Photogrammetry and Remote Sensing, 1999
- Use of a green channel in remote sensing of global vegetation from EOS-MODISRemote Sensing of Environment, 1996