How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms?

How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms?

Disturbance is a critical ecological process in forested systems, and disturbance maps are important for understanding forest dynamics. Landsat data are a key remote sensing dataset for monitoring forest disturbance and there recently has been major growth in the development of disturbance mapping a...

Full description

Bibliographic Details
Main Authors: Warren B. Cohen, Sean P. Healey, Zhiqiang Yang, Stephen V. Stehman, C. Kenneth Brewer, Evan B. Brooks, Noel Gorelick, Chengqaun Huang, M. Joseph Hughes, Robert E. Kennedy, Thomas R. Loveland, Gretchen G. Moisen, Todd A. Schroeder, James E. Vogelmann, Curtis E. Woodcock, Limin Yang, Zhe Zhu
Format: Article
Language:English
Published: MDPI AG 2017-03-01
Series:Forests
Subjects:
remote sensing
change detection
Landsat time series
forest disturbance
Online Access:http://www.mdpi.com/1999-4907/8/4/98

Internet

http://www.mdpi.com/1999-4907/8/4/98

Similar Items