Obtaining plotwise mean height and volume growth in boreal forests using multi‐temporal laser surveys and various change detection techniques

By Xiaowei Yu, Juha Hyyppä, Harri Kaartinen, Matti Maltamo, Hannu Hyyppä. 2008

65 citations recorded by the source corpus.

Subfields: Environmental Engineering, Insect Science, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/1eb3c5cbe6d162eb12eb904bde10242bb678e689

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Joanne C. White
2. Nicholas C. Coops
3. M. Wulder
4. Robert E. Kennedy
5. Warren B. Cohen
6. Christopher W. Bater
7. Thomas Hilker
8. Philip A. Townsend

In Insect Science

1. M. Wulder
2. Nicholas C. Coops
3. Christopher W. Bater
4. Thomas Hilker
5. Joanne C. White
6. Philip A. Townsend

In Nature and Landscape Conservation

1. M. Wulder
2. Nicholas C. Coops
3. Christopher W. Bater
4. Thomas Hilker
5. Joanne C. White
6. Philip A. Townsend
7. Håkan Olsson
8. Heather Reese

Citations in the corpus

• Remote sensing change detection tools for natural resource managers: Understanding concepts and tradeoffs in the design of landscape monitoring projects (2009, background): “With increasing availability of airborne LIDAR data, more studieswill likely use LIDAR to detect changes, especially in vegetation structure (Wulder et al., 2007a,b; Yu et al., 2006, 2008) and topographic change (Woolard & Colby, 2002; White & Wang, 2003; Rosso et al., 2006).”
• The role of LiDAR in sustainable forest management (2008, methodology): “2007) and growth rates (Yu et al. 2008) making LiDAR useful for the assessment of forest inventory, forest sustainability and ecosystem quality (Lefsky et al.”