Calculating landscape surface area from digital elevation models
By J. Jenness. 2004
430 citations recorded by the source corpus.
Subfields: Ecology, Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/50b381cae049f3d04068cbfb47adad74d5a44fa5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Samuel A. Cushman
- K. McGarigal
- Sermin Tagil
- Martin Wikelski
- R. Kays
- Timothy Battista
- Marguerite Madden
- David C. Douglas
In Environmental Engineering
- Timothy Battista
- Marguerite Madden
- Sermin Tagil
- Andrew J. Tatem
- Carlos Henrique Grohmann
- Samuel A. Cushman
- B. Costa
- SJ Pittman
In Global and Planetary Change
- Samuel A. Cushman
- K. McGarigal
- Sermin Tagil
- Andrew J. Tatem
- Timothy Battista
- Jiawei Han
- Gil Bohrer
- Carlos Henrique Grohmann
Citations in the corpus
- A linear mixed-effects model of biomass and volume of trees using Landsat ETM+ images (2007, background): “Jenness (2004) discussed in detail about the procedures of surface area calculation from TIN.”
- Using Lidar Bathymetry and Boosted Regression Trees to Predict the Diversity and Abundance of Fish and Corals (2009, methodology): “Hardbottom habitat types included colonized pavement, patch reef, linear reef, colonized pavement with sand channels, spur and groove, scattered coral/rock in unconsolidated sediments and reef rubble (Kendall et al., 2002).”
- The environmental-data automated track annotation (Env-DATA) system: linking animal tracks with environmental data (2013, methodology): “Derived topographic variables Slope and aspect [25]; Rugosity [44] Calculated derived variables, based on ASTERGDEM Regular grid 83°N–83°S 180°E–180°W 1 arc-second ASCII D oge et al.”
- The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use (2019, methodology): “The base scores are augmented with texture scores derived from 15 m resolution Landsat 8 panchromatic images using a rugosity (i.e., terrain roughness) model (Jenness, 2004).”
- Surface metrics: an alternative to patch metrics for the quantification of landscape structure (2009, methodology): “To this end, many methods have been developed to quantify surface complexity (e.g., Pike 2000; Wilson and Gallant 2000; Jenness 2004).”
- Multiscale Analysis of Topographic Surface Roughness in the Midland Valley, Scotland (2011, background): “generic term, a variety of terminology has been applied to its study, including ruggedness [8], [9], rugosity [10], [11], microrelief [12], or microtopography [13].”