Tree cover loss 2000-2013: Thailand, Vietnam, Laos, Cambodia, Myanmar

A dataset describing forest loss during the period 2000–2013, defined as a stand-replacement disturbance, or a change from a forest to non-forest state. Encoded as either 1 (loss) or 0 (no loss).

Data Resources (1)

Data Resource Preview - Tree cover loss 2000-2013: Thailand, Vietnam, Laos, Cambodia, Myanmar

Additional Info

Field Value
Dataset topic category
  • Forest cover
  • Forest industry
  • Forest protection
  • Forests and forestry
  • Protected forests
  • Regenerated forest
Language
  • English
Dataset reference date 01/08/2015
Date uploaded 07/08/2015
Date of last revision 2018-11-10T14:01:48.360015
GeoNames
  • Cambodia
  • Lao People's Democratic Republic
  • Myanmar
  • Thailand
  • Viet Nam
Positional Accuracy No known issues with accuracy.
Completeness This data layer was updated in January 2015 to extend the tree cover loss analysis to 2013. The 2013 data update included new Landsat 8 data (launched in February 2013) as well as re-processed 2010-2012 data from Landsat TM and ETM+, which increased the amount of change that could be detected, resulting in some changes in calculated tree cover loss for 2011 (global increase of 6%) and 2012 (increase of 22%). Calculated tree cover loss for 2001-2010 remains unchanged. The integrated use of the original 2001-2012 (Version 1.0) data and the updated 2011–2013 data (Version 1.1) should be performed with caution.\r\n\r\nloss, and can be either natural or human-induced.\r\nFor the purpose of this study, “tree cover” was defined as all vegetation taller than 5 meters in height. “Tree cover” is the biophysical presence of trees and may take the form of natural forests or plantations existing over a range of canopy densities. “Loss” indicates the removal or mortality of tree canopy cover and can be due to a variety of factors, including mechanical harvesting, fire, disease, or storm damage. As such, “loss” does not equate to deforestation.
Process Step The data were generated using multispectral satellite imagery from the Landsat 7 thematic mapper plus (ETM+), and Landsat 7 thematic mapper plus (ETM+), and Landsat 8 Operational Land Imager (OLI) sensors. Over 1 million satellite images were processed and analyzed, including over 600,000 Landsat 7 images for the 2000-2012 interval, and approximately 400,000 Landsat 5,7 and 8 images for the 2010-2013 interval . The clear land surface observations in the satellite images were assembled and a supervised learning algorithm was applied to identify per pixel tree cover loss. Tree cover loss is defined as “stand replacement disturbance,” or the complete removal of tree cover canopy at the Landsat pixel scale. Tree cover loss may be the result of human activities, including forestry practices such as timber harvesting or deforestation (the conversion of natural forest to other land uses), as well as natural causes such as disease or storm damage. Fire is another widespread cause of tree cover loss, and can be either natural or human-induced. The tiles spanning the area of interest were downloaded from the original hosting on University of Maryland's website, mosaiced together using ArcGIS, and then trimmed to country boundaries according to ESRI's Global Administrative Database country boundaries data.
Lineage Global Forest Watch / Hansen, M. C., P. V. Potapov, R. Moore, M. Hancher, S. A. Turubanova, A. Tyukavina, D. Thau, S. V. Stehman, S. J. Goetz, T. R. Loveland, A. Kommareddy, A. Egorov, L. Chini, C. O. Justice, and J. R. G. Townshend. 2013. “Hansen/UMD/Google/USGS/NASA Tree Cover Loss and Gain Area.” University of Maryland, Google, USGS, and NASA.
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Version 1.0