Long-Term Record of Sampled Disturbances in Northern Eurasian Boreal Forest from Pre-2000 Landsat Data

Remote Sensing

Dong Chen¹  Tatiana Loboda¹  Saurabh Channan² 

[1] Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA; E-Mails:;Global Land Cover Facility, Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA; E-Mail:

关键词: boreal forest;    Russia;    forest disturbance;    Landsat;    MODIS;    remote sensing;    disturbance mapping;    Northern Eurasia;   

DOI  :  10.3390/rs6076020

来源: mdpi

【 摘 要 】

Stand age distribution is an important descriptor of boreal forest structure, which is directly linked to many ecosystem processes including the carbon cycle, the land–atmosphere interaction and ecosystem services, among others. Almost half of the global boreal biome is located in Russia. The vast extent, remote location, and limited accessibility of Russian boreal forests make remote sensing the only feasible approach to characterize these forests to their full extent. A wide variety of satellite observations are currently available to monitor forest change and infer its structure; however, the period of observations is mostly limited to the 2000s era. Reconstruction of wall-to-wall maps of stand age distribution requires merging longer-term site observations of forest cover change available at the Landsat scale at a subset of locations in Russia with the wall-to-wall coverage available from coarse resolution satellites since 2000. This paper presents a dataset consisting of a suite of multi-year forest disturbance samples and samples of undisturbed forests across Russia derived from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus images from 1985 to 2000. These samples provide crucial information regarding disturbance history in selected regions across the Russian boreal forest and are designed to serve as a training and/or validation dataset for coarse resolution data products. The overall accuracy and Kappa coefficient for the entire sample collection was found to be 83.98% and 0.83%, respectively. It is hoped that the presented dataset will benefit subsequent studies on a variety of aspects of the Russian boreal forest, especially in relation to the carbon budget and climate.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland