Optimising the use of hyperspectral and LiDAR data for mapping reedbed habitats
- 1 August 2011
- journal article
- Published by Elsevier BV in Remote Sensing of Environment
- Vol. 115 (8), 2025-2034
- https://doi.org/10.1016/j.rse.2011.04.004
Abstract
No abstract availableKeywords
This publication has 34 references indexed in Scilit:
- Treatment of domestic wastewater in a pilot-scale HSFCW in West IranDesalination, 2009
- Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological ProfilesIEEE Transactions on Geoscience and Remote Sensing, 2008
- Integrating LIDAR data and multispectral imagery for enhanced classification of rangeland vegetation: A meta analysisRemote Sensing of Environment, 2007
- Texture classification of Mediterranean land coverInternational Journal of Applied Earth Observation and Geoinformation, 2007
- Observations of forest stand top height and mean height from interferometric SAR and LiDAR over a conifer plantation at Thetford Forest, UKInternational Journal of Remote Sensing, 2007
- Toward an Optimal SVM Classification System for Hyperspectral Remote Sensing ImagesIEEE Transactions on Geoscience and Remote Sensing, 2006
- Classification of coniferous tree species and age classes using hyperspectral data and geostatistical methodsInternational Journal of Remote Sensing, 2005
- A relative evaluation of multiclass image classification by support vector machinesIEEE Transactions on Geoscience and Remote Sensing, 2004
- Thematic Map ComparisonPhotogrammetric Engineering & Remote Sensing, 2004
- Incorporating texture into classification of forest species composition from airborne multispectral imagesInternational Journal of Remote Sensing, 2000