Eastern Europe's forest cover dynamics from 1985 to 2012 quantified from the full Landsat archive

被引:216
作者
Potapov, P. V. [1 ]
Turubanova, S. A. [1 ]
Tyukavina, A. [1 ]
Krylov, A. M. [1 ]
McCarty, J. L. [2 ]
Radeloff, V. C. [3 ]
Hansen, M. C. [1 ]
机构
[1] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA
[2] Michigan Tech, Res Inst, Ann Arbor, MI 48105 USA
[3] Univ Wisconsin, Dept Forest & Wildlife Ecol, SILVIS Lab, Madison, WI 53706 USA
关键词
Landsat; Eastern Europe; Forest; Forest cover dynamics; Wildfires; Timber harvesting; TIME-SERIES; ACCURACY ASSESSMENT; AGRICULTURAL LAND; CARBON EMISSIONS; ESTIMATING AREA; MODIS DATA; DISTURBANCE; MAP; DEFORESTATION; DRIVERS;
D O I
10.1016/j.rse.2014.11.027
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the former "Eastern Bloc" countries, there have been dramatic changes in forest disturbance and forest recovery rates since the collapse of the Soviet Union, due to the transition to open-market economies, and the recent economic crisis. Unfortunately though, Eastern European countries collected their forest statistics inconsistently, and their boundaries have changed, making it difficult to analyze forest dynamics over time. Our goal here was to consistently quantify forest cover change across Eastern Europe since the 1980s based on the Landsat image archive. We developed an algorithm to simultaneously process data from different Landsat platforms and sensors (TM and ETM+) to map annual forest cover loss and decadal forest cover gain. We processed 59,539 Landsat images for 527 footprints across Eastern Europe and European Russia. Our results were highly accurate, with gross forest loss producer's and user's accuracy of >88% and >89%, respectively, and gross forest gain producer's and user's accuracy of>75% and >91%, based on a sample of probability-based validation points. We found substantial changes in the forest cover of Eastern Europe. Net forest cover increased from 1985 to 2012 by 4.7% across the region, but decreased in Estonia and Latvia. Average annual gross forest cover loss was 0.41% of total forest cover area, with a statistically significant increase from 1985 to 2012. Timber harvesting was the main cause of forest loss, accompanied by some insect defoliation and forest conversion, while only 7.4% of the total forest cover loss was due to large-scale wildfires and windstorms. Overall, the countries of Eastern Europe experienced constant levels or declines in forest loss after the collapse of socialism in the late 1980s, but a pronounced increase in loss in the early 2000s. By the late 2000s, however, the global economic crisis coincided with reduced timber harvesting in most countries, except Poland, Czech Republic, Slovakia, and the Baltic states. Most forest disturbance did not result in a permanent forest loss during our study period. Indeed, forest generally recovered fast and only 12% of the areas of forest loss prior to 1995 had not yet recovered by 2012. Our results allow national and sub-national level analysis and are available on-line (http://glad.geog.umd.edu/europe/) to serve as a baseline for further analyses of forest dynamics and its drivers. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码:28 / 43
页数:16
相关论文
共 63 条
  • [11] Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors
    Chander, Gyanesh
    Markham, Brian L.
    Helder, Dennis L.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2009, 113 (05) : 893 - 903
  • [12] Detecting trends in forest disturbance and recovery using yearly Landsat time series: 2. TimeSync - Tools for calibration and validation
    Cohen, Warren B.
    Yang, Zhigiang
    Kennedy, Robert
    [J]. REMOTE SENSING OF ENVIRONMENT, 2010, 114 (12) : 2911 - 2924
  • [13] Danielson J. J., 2011, GLOBAL MULTIRESOLUTI, DOI [10.3133/ofr20111073, DOI 10.3133/OFR20111073]
  • [14] Global discrimination of land cover types from metrics derived from AVHRR pathfinder data
    DeFries, R
    Hansen, M
    Townshend, J
    [J]. REMOTE SENSING OF ENVIRONMENT, 1995, 54 (03) : 209 - 222
  • [15] Carbon emissions from tropical deforestation and regrowth based on satellite observations for the 1980s and 1990s
    DeFries, RS
    Houghton, RA
    Hansen, MC
    Field, CB
    Skole, D
    Townshend, J
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2002, 99 (22) : 14256 - 14261
  • [16] European Environment Agency, 2007, CORINE LAND 2006 TEC, DOI [10.2800/12134, DOI 10.2800/12134]
  • [17] FAO, 2020, GLOBAL FOREST RESOUR
  • [18] A high-resolution and harmonized model approach for reconstructing and analysing historic land changes in Europe
    Fuchs, R.
    Herold, M.
    Verburg, P. H.
    Clevers, J. G. P. W.
    [J]. BIOGEOSCIENCES, 2013, 10 (03) : 1543 - 1559
  • [19] EU-wide maps of growing stock and above-ground biomass in forests based on remote sensing and field measurements
    Gallaun, Heinz
    Zanchi, Giuliana
    Nabuurs, Gert-Jan
    Hengeveld, Geerten
    Schardt, Mathias
    Verkerk, Pieter J.
    [J]. FOREST ECOLOGY AND MANAGEMENT, 2010, 260 (03) : 252 - 261
  • [20] NDWI - A normalized difference water index for remote sensing of vegetation liquid water from space
    Gao, BC
    [J]. REMOTE SENSING OF ENVIRONMENT, 1996, 58 (03) : 257 - 266