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Cited by 144

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Mapping tree height distributions in Sub-Saharan Africa using Landsat 7 and 8 data

Hansen, Matthew C., Potapov, Peter V., Goetz, Scott J., Turubanova, Svetlana, Tyukavina, Alexandra, Krylov, Alexander, Kommareddy, Anil, Egorov, Alexey·2016·Remote Sensing of Environment
DOI 10.1016/j.rse.2016.02.023
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Research works printed but not linked: 34

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  13. Hansen, 2002, Towards an operational MODIS continuous field of percent tree cover algorithm: Examples using AVHRR and MODIS data, Remote Sensing of Environment, 83, 303, 10.1016/S0034-4257(02)00079-2 · DOI
  14. Hansen, 2008, A method for integrating MODIS and Landsat data for systematic monitoring of forest cover and change in the Congo Basin, Remote Sensing of Environment, 112, 2495, 10.1016/j.rse.2007.11.012 · DOI
  15. Hilker, 2008, Update of forest inventory data with Lidar and high spatial resolution satellite imagery, Canadian Journal of Remote Sensing, 34, 5, 10.5589/m08-004 · DOI
  16. Huang, 2009, Dynamics of national forests assessed using the Landsat record: Case studies in eastern United States, Remote Sensing of Environment, 113, 1430, 10.1016/j.rse.2008.06.016 · DOI
  17. Hudak, 2002, Integration of lidar and Landsat ETM+ data for estimating and mapping forest canopy height, Remote Sensing of Environment, 82, 397, 10.1016/S0034-4257(02)00056-1 · DOI
  18. Justice, 2002, Remote Sensing of Environment, 83, 3, 10.1016/S0034-4257(02)00084-6 · DOI
  19. Kennedy, 2007, Trajectory-based change detection for automated characterization of forest disturbance dynamics, Remote Sensing of Environment, 110, 370, 10.1016/j.rse.2007.03.010 · DOI
  20. Lefsky, 2010, A global forest canopy height map from the Moderate Resolution Imaging Spectroradiometer and the Geoscience Laser Altimeter System, Geophysical Research Letters, 37, L15401, 10.1029/2010GL043622 · DOI
  21. Lefsky, 2002, Lidar remote sensing of above-ground biomass in three biomes, Global Ecology and Biogeography, 11, 393, 10.1046/j.1466-822x.2002.00303.x · DOI
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  23. Mayaux, 1999, A vegetation map of Central Africa derived from satellite imagery, Journal of Biogeography, 26, 353, 10.1046/j.1365-2699.1999.00270.x · DOI
  24. Ota, 2014, Estimation of airborne lidar-derived tropical forest canopy height using Landsat time series in Cambodia, Remote Sensing, 6, 10750, 10.3390/rs61110750 · DOI
  25. Potapov, 2012, Quantifying forest cover loss in Democratic Republic of the Congo, 2000–2010, with Landsat ETM+ data, Remote Sensing of Environment, 122, 106, 10.1016/j.rse.2011.08.027 · DOI
  26. Potapov, 2015, Eastern Europe's forest cover dynamics from 1985 to 2012 quantified from the full Landsat archive, Remote Sensing of Environment, 159, 28, 10.1016/j.rse.2014.11.027 · DOI
  27. Sankaran, 2005, Determinants of woody cover in African savannas, Nature, 438, 846, 10.1038/nature04070 · DOI · Paper page
  28. Simard, 2011, Mapping forest canopy height globally with spaceborne lidar, Journal of Geophysical Research, 116, G04021, 10.1029/2011JG001708 · DOI
  29. Staver, 2011, Tree cover in sub-Saharan Africa: Rainfall and fire constrain forest and savanna as alternative stable states, Ecology, 92, 1063, 10.1890/10-1684.1 · DOI
  30. Tyukavina, 2015, Aboveground carbon loss in natural and managed tropical forests from 2000 to 2012, Environmental Research Letters, 10, 074002, 10.1088/1748-9326/10/7/074002 · DOI
  31. Vermote, 2002, Atmospheric 985 correction of MODIS data in the visible to middle infrared: First results, Remote Sensing of Environment, 83, 97, 10.1016/S0034-4257(02)00089-5 · DOI
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  33. Zhu, 2014, Continuous change detection and classification of land cover using all available Landsat data, Remote Sensing of Environment, 144, 152, 10.1016/j.rse.2014.01.011 · DOI
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Metadata

Authors
Hansen, M. C., Potapov, P. V., Goetz, S. J., Turubanova, S., Tyukavina, A., Krylov, A., Kommareddy, A., & Egorov, A.
Venue
Remote Sensing of Environment
Publisher
Elsevier BV
Published
2016-11
Volume
185
Pages
221-232
ISSN
0034-4257
DOI
10.1016/j.rse.2016.02.023
Cited by
144
References
2
Language
en
Licence
Funders
  • U.S. Agency for International Development's
  • NASA (NNX14AR46G, NNX12AI75G)
  • NASA's Terrestrial Ecology (NN12AB4G)
  • Gordon and Betty Moore Foundation (3125)

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