An Automated Approach to Map the History of Forest Disturbance from Insect Mortality and Harvest with Landsat Time-Series Data

An Automated Approach to Map the History of Forest Disturbance from Insect Mortality and Harvest with Landsat Time-Series Data

Forests contain a majority of the aboveground carbon (C) found in ecosystems, and understanding biomass lost from disturbance is essential to improve our C-cycle knowledge. Our study region in the Wisconsin and Minnesota Laurentian Forest had a strong decline in Normalized Difference Vegetation Inde...

Full description

Bibliographic Details
Main Authors: Christopher S.R. Neigh, Douglas K. Bolton, Mouhamad Diabate, Jennifer J. Williams, Nuno Carvalhais
Format: Article
Language:English
Published: MDPI AG 2014-03-01
Series:Remote Sensing
Subjects:
Landsat
AVHRR
forest
disturbance
mortality
insect
harvest
US
classification
decision tree
Online Access:http://www.mdpi.com/2072-4292/6/4/2782

Internet

http://www.mdpi.com/2072-4292/6/4/2782

Similar Items