Curve fitting of time-series Landsat imagery for characterizing a mountain pine beetle infestation

2010 ◽  
Vol 31 (12) ◽  
pp. 3263-3271 ◽  
Author(s):  
Nicholas R. Goodwin ◽  
Steen Magnussen ◽  
Nicholas C. Coops ◽  
Michael A. Wulder
2021 ◽  
Vol 263 ◽  
pp. 112560
Author(s):  
Su Ye ◽  
John Rogan ◽  
Zhe Zhu ◽  
Todd J. Hawbaker ◽  
Sarah J. Hart ◽  
...  

2014 ◽  
Vol 6 (6) ◽  
pp. 5696-5716 ◽  
Author(s):  
Lu Liang ◽  
Yanlei Chen ◽  
Todd Hawbaker ◽  
Zhiliang Zhu ◽  
Peng Gong

2005 ◽  
Vol 81 (1) ◽  
pp. 149-159 ◽  
Author(s):  
M A Wulder ◽  
R S Skakun ◽  
S E Franklin ◽  
J C White

Polygon decomposition is an approach for integrating different data sources within a GIS. We use this approach to understand the impacts associated with mountain pine beetle red attack. Three different sources of red attack information are considered: aerial overview sketch mapping, helicopter GPS surveys, and Landsat imagery. Existing inventory polygons are augmented with estimates of the proportion and area of red attack damage. Although differences are found in the area of the infestation, the affected forest stands have similar characteristics. Polygon decomposition adds value to existing forest inventories through update and the incorporation of new attributes applicable to forest management. Key words: polygon decomposition, forest inventory, GIS, mountain pine beetle, red attack, remote sensing, Landsat


Sign in / Sign up

Export Citation Format

Share Document