Impact of DEM accuracy and resolution on topographic indices

By J. Vaze, J. Teng, G. Spencer. Environmental Modelling & Software, 2010

339 citations recorded by the source corpus.

Subfields: Environmental Engineering, Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/f48625651b71b64e0679cf540cab03bb74a36727

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. Aaron Weiskittel
2. John A. Kershaw
3. Jerome K. Vanclay
4. D. Hann
5. Hans Pretzsch

In Global and Planetary Change

1. John A. Kershaw
2. Jerome K. Vanclay
3. Aaron Weiskittel
4. D. Hann
5. Sami Khanal
6. John P. Fulton
7. Scott A. Shearer
8. Hans Pretzsch

In Water Science and Technology

1. Jerome K. Vanclay
2. Aaron Weiskittel
3. John A. Kershaw
4. D. Hann

Citations in the corpus

• Remote Sensing in Agriculture - Accomplishments, Limitations, and Opportunities (2020, methodology): “Airborne Light Detection and Ranging (LiDAR)-derived DEM data are a better alternative [33,34] to satellite data.”
• Forest Growth and Yield Modeling (2011, background): “P o te n ti al m o d ifi er 3.3 GEOCENTRIC MEASURES OF SITE PRODUCTIVITY 51 (e.g. Frazier et al., 2009), but their accuracy largely depends on the DEM resolution, and a very high resolution is often needed to achieve desirable results (Vaze et al., 2010).”