FOREST INVENTORY ATTRIBUTE ESTIMATION USING AIRBORNE LASER SCANNING, AERIAL STEREO IMAGERY, RADARGRAMMETRY AND INTERFEROMETRY–FINNISH EXPERIENCES OF THE 3D TECHNIQUES
Three-dimensional (3D) remote sensing has enabled detailed mapping of terrain and vegetation heights. Consequently, forest inventory attributes are estimated more and more using point clouds and normalized surface models. In practical applications, mainly airborne laser scanning (ALS) has been used...
Main Authors: | M. Holopainen, M. Vastaranta, M. Karjalainen, K. Karila, S. Kaasalainen, E. Honkavaara, J. Hyyppä |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2015-03-01
|
Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W4/63/2015/isprsannals-II-3-W4-63-2015.pdf |
Similar Items
-
Predicting Forest Inventory Attributes Using Airborne Laser Scanning, Aerial Imagery, and Harvester Data
by: Atte Saukkola, et al.
Published: (2019-04-01) -
Comparison of interferometric and stereo-radargrammetric 3D metrics in mapping of forest resources
by: K. Karila, et al.
Published: (2015-04-01) -
Prediction of Forest Stand Attributes Using TerraSAR-X Stereo Imagery
by: Mikko Vastaranta, et al.
Published: (2014-04-01) -
Comparison of Laser and Stereo Optical, SAR and InSAR Point Clouds from Air- and Space-Borne Sources in the Retrieval of Forest Inventory Attributes
by: Xiaowei Yu, et al.
Published: (2015-11-01) -
TOWARDS CHANGE DETECTION IN URBAN AREA BY SAR INTERFEROMETRY AND RADARGRAMMETRY
by: C. Dubois, et al.
Published: (2013-04-01)