Insular Southeast Asia is a hotspot of humid tropical forest cover loss. A sample-based monitoring approach quantifying forest cover loss from Landsat imagery was implemented to estimate gross forest cover loss for two eras, 1990–2000 and 2000–2005. For each time interval, a probability sample of 18.5 km × 18.5 km blocks was selected, and pairs of Landsat images acquired per sample block were interpreted to quantify forest cover area and gross forest cover loss. Stratified random sampling was implemented for 2000–2005 with MODIS-derived forest cover loss used to define the strata. A probability proportional to x (πpx) design was implemented for 1990–2000 with AVHRR-derived forest cover loss used as the x variable to increase the likelihood of including forest loss area in the sample. The estimated annual gross forest cover loss for Malaysia was 0.43 Mha/yr (SE = 0.04) during 1990–2000 and 0.64 Mha/yr (SE = 0.055) during 2000–2005. Our use of the πpx sampling design represents a first practical trial of this design for sampling satellite imagery. Although the design performed adequately in this study, a thorough comparative investigation of the πpx design relative to other sampling strategies is needed before general design recommendations can be put forth.
References
[1]
Hansen, M.C.; Stehman, S.V.; Potapov, P.V.; Loveland, T.R.; Townshend, J.R.G.; de Fries, R.S.; Pittman, K.W.; Arunarwati, B.; Stolle, F.; Steininger, M.K.; et al. Humid tropical forest clearing from 2000 to 2005 quantified by using multitemporal and multiresolution remotely sensed data. Proc. Natl. Acad. Sci. USA 2008, 105, 9439–9444.
[2]
Grainger, A. Rates of deforestation in the humid Tropics: Estimates and measurements. Geogr. J 1993, 159, 33–44.
[3]
Tucker, C.J.; Townshend, J.R.G. Strategies for monitoring tropical deforestation using satellite data. Int. J. Remote Sens 2000, 21, 1461–1471.
[4]
Allen, J.C.; Barnes, D.F. The causes of deforestation in developing countries. Ann. Assoc. Am. Geogr 1985, 75, 163–184.
[5]
Achard, F.; Eva, H; Mayaux, P. Tropical forest mapping from coarse spatial resolution satellite data. Int. J. Remote Sens 2001, 22, 2741–2762.
[6]
Dauvergne, P. Loggers and Degradation in Asia-Pacific; Cambridge University Press: Cambridge, UK, 2001.
[7]
Mayaux, P.; Holmgren, P.; Achard, F.; Eva, H.; Stibig, H.-J.; Branthomme, A. Tropical forest cover change in the 1990s and options for future monitoring. Phil. Trans. Biol. Sci 2005, 360, 373–384.
[8]
Salahuddin, J.S. Asia-Pacific Forestry Sector Outlook Study Working Paper Series. Working Paper No: APFSOS/WP/07. Country Report-Malaysia, Available online: ftp://ftp.fao.org/docrep/fao/003/W7701E/W7701E00.pdf (accessed on 1 December 2012).
[9]
ITTO. Status of Tropical Forest Management 2005: Country Profile Malaysia, Available online: http://www.itto.int/sfm_detail/id=12410000 (accessed on 1 December 2012).
[10]
McMorrow, J.; Talip, M.A. Decline of forest area in Sabah, Malaysia: Relationship to state policies, land code and land capability. Glob. Environ. Chang 2001, 11, 217–230.
[11]
Aiken, R.S.; Leigh, C.H. On the declining fauna of Peninsular Malaysia in the post colonial period. R. Swed. Acad. Sci 1985, 14, 15–22.
[12]
Eva, H.D.; Belward, A.S.; de Miranda, E.E.; di Bella, C.M.; Gond, V.; Huber, O.; Jones, S.; Sgrenzaroli, M.; Fritz, S. A land cover map of South America. Glob. Chang. Biol 2004, 10, 731–744.
[13]
FAO. Global Forest Resources Assessment 2010, Available online: http://www.fao.org/docrep/013/i1757e/i1757e.pdf (accessed on 1 December 2012).
[14]
Friedl, M.A.; McIver, D.K.; Hodges, J.C.F.; Zhang, X.Y.; Muchoney, D.; Strahler, A.H.; Woodcock, C.E.; Gopal, S.; Schneider, A.; Cooper, A.; et al. Global land cover mapping from MODIS: Algorithms and early results. Remote Sens. Environ 2002, 83, 287–302.
[15]
Hansen, M.C.; Stehman, S.V.; Potapov, P.V.; Arunarwati, B.; Stolle, F.; Pittman, K. Quantifying changes in the rates of forest clearing in Indonesia from 1990 to 2005 using remotely sensed data sets. Environ. Resour. Lett. 2009, doi:10.1088/1748-9326/4/3/034001.
[16]
Hansen, M.C.; Stehman, S.V.; Potapov, P.V. Quantification of global gross forest cover loss. Proc. Natl. Acad. Sci. USA 2010, 107, 8650–8655.
[17]
Innes, J.L.; Koch, B. Forest biodiversity and its assessment by remote sensing. Glob. Ecol. Biogeogr. Lett 1998, 7, 397–419.
[18]
Achard, F.; Eva, H.D.; Stibig, H.-J.; Mayaux, P.; Gallego, J.; Richards, T.; Malingreau, J.-P. Determination of deforestation rates of the world’s humid tropical forests. Science 2002, 297, 999–1002.
[19]
FAO. Forest Resources Assessment 1990: Survey of Tropical Forest Cover and Study of Change Processes. FAO Forestry Paper 130;; Food and Agriculture Organization of the United Nations: Rome, Italy, 1996.
[20]
FAO. The 2010 Global Forest Resources Assessment Remote Sensing Survey: An Outline of Objectives, Data, Methods, and Approach. Forest Resources Assessment Working Paper 155;; Food and Agriculture Organization of the United Nations: Rome, Italy, 2009.
[21]
Richards, T.; Gallego, J.; Achard, F. Sampling for forest cover change assessment at the pan-tropical scale. Int. J. Remote Sens 2000, 21, 1473–1490.
[22]
Duveiller, G.; Defourny, P.; Desclée, B.; Mayaux, P. Deforestation in Central Africa: Estimates at regional, national and landscape levels by advanced processing of systematically-distributed Landsat extracts. Remote Sens. Environ 2008, 112, 1969–1981.
[23]
Potapov, P.; Hansen, M.C.; Stehman, S.V.; Loveland, T.R.; Pittman, K. Combining MODIS and Landsat imagery to estimate and map boreal forest cover loss. Remote Sens. Environ 2008, 112, 3708–3719.
[24]
Broich, M.; Stehman, S.V.; Hansen, M.C.; Potapov, P.; Shimabukuro, Y.E. A comparison of sampling designs for estimating deforestation from Landsat imagery: A case study of the Brazilian Legal Amazon. Remote Sens. Environ 2009, 113, 2448–2454.
[25]
Broich, M.; Hansen, M.C.; Stolle, F.; Potapov, P.; Arunarwati Margono, B.; Adusei, B. Remotely sensed forest cover loss shows high spatial and temporal variation across Sumatra and Kalimantan, Indonesia 2000–2008. Environ. Res. Lett. 2011, doi:10.1088/1748–9326/6/1/014010.
[26]
Hansen, M.C.; de Fries, R.S. Detecting long term global forest change using continuous fields of tree cover maps from 8 km AVHRR data for the years 1982–1999. Ecosystems 2004, 7, 695–716.
[27]
Gutman, G.; Byrnes, R.; Masek, J.; Covington, S.; Justice, C.; Franks, S.; Headley, R. Towards monitoring land cover and land-use changes at a global scale: The Global Land Survey 2005. Photogramm. Eng. Remote Sensing 2008, 74, 6–10.
[28]
Breiman, L.; Friedman, J.H.; Olshen, R.A.; Stone, C.J. Classification and Regression Trees; Wadsworth and Brooks/Cole: Monterey, CA, USA, 1984.
[29]
Stehman, S.V.; Hansen, M.C.; Broich, M.; Potapov, P.V. Adapting a global stratified random sample for regional estimation of forest cover change derived from satellite imagery. Remote Sens. Environ 2011, 115, 650–658.
[30]
Greenpeace International. Roadmap to Recovery: The World’s Last Intact Forest Landscapes; Greenpeace International: Amsterdam, The Netherlands, 2006.
[31]
Stehman, S.V. Sampling Strategies for Forest Monitoring from Global to National Levels. In Global Forest Monitoring from Earth Observation; Achard, F., Hansen, M.C., Eds.;. Chapter 5 Taylor & Francis: New York, NY, 2012; pp. 79–106.
[32]
S？rndal, C.-E.; Swensson, B.; Wretman, J. Model-Assisted Survey Sampling; Springer-Verlag: New York, NY, USA, 1992.
[33]
Lohr, S.L. Sampling: Design and Analysis, 2nd ed. ed.; Brooks/Cole: Boston, MA, USA, 2010.
[34]
Stehman, S.V.; Sohl, T.L.; Loveland, T.R. An evaluation of sampling strategies to improve precision of estimates of gross change in land use and land cover. Int. J. Remote Sens 2005, 26, 4941–4957.
[35]
Brewer, K.R.W.; Hanif, M. Sampling with Unequal Probabilities; Springer-Verlag: New York, NY, USA, 1983.
[36]
Stehman, S.V.; Overton, W.S. Comparison of variance estimators of the Horvitz-Thompson estimator for randomized variable probability systematic sampling. J. Am. Stat. Assoc 1994, 89, 30–43.
[37]
Overton, W.S.; Stehman, S.V. The Horvitz-Thompson theorem as a unifying perspective for probability sampling: With examples from natural resource sampling. Am. Stat 1995, 49, 261–268.
[38]
FWI/GFW. The State of the Forest: Indonesia; Forest Watch Indonesia: Bogor, Indonesia. Global Forest Watch: Washington, DC, USA, 2002.
[39]
FAO. Global Forest Resources Assessment 2000. FAO Forestry Paper No. 140;; Food and Agriculture Organization of the United Nations: Rome, Italy, 2001.
[40]
Cochran, W.G. Sampling Techniques, 3rd ed. ed.; John Wiley & Sons: New York, NY, USA, 1977.
[41]
Achard, F.; Stibig, H.-J.; Eva, H.; Mayaux, P. Tropical forest cover monitoring in the humid tropics—TREES project. Int. Soc. Trop. Ecol 2002, 43, 9–20.
[42]
Achard, F.; de Fries, R.; Eva, H.; Hansen, M.C.; Mayaux, P.; Stibig, H.-J. Pan tropical monitoring of deforestation. Environ. Res. Lett 2007, 4, 1–11.
[43]
Eva, H.D.; Achard, F.; Beuchle, R.; de Miranda, E.; Carboni, S.; Seliger, R.; Vollmar, M.; Holler, W.A.; Oshiro, O.T.; Arroyo, V.B.; et al. Forest cover changes in tropical South and Central America from 1990–2005 and related carbon emissions and removals. Remote Sens 2012, 4, 1369–1391.
