Towards a global oil palm sample database: design and implications

References

• Baghdadi, N., N. Boyer, P. Todoroff, M. Hajj, and A. Bégué. 2009. “Potential of SAR Sensors Terrasar-X, ASAR/ENVISAT and PALSAR/ALOS for Monitoring Sugarcane Crops on Reunion Island.” Remote Sensing of Environment 113 (8): 1724–1738. doi:10.1016/j.rse.2009.04.005.
   Web of Science ®Google Scholar
• Carlson, K. M., L. M. Curran, D. Ratnasari, A. M. Pittman, B. S. Soares-Filho, G. P. Asner, S. N. Trigg, D. A. Gaveau, D. Lawrence, and H. O. Rodrigues. 2012. “Committed Carbon Emissions, Deforestation, and Community Land Conversion from Oil Palm Plantation Expansion in West Kalimantan, Indonesia.” Proceedings of the National Academy of Sciences of the United States of America 109 (19): 7559–7564. doi:10.1073/pnas.1200452109.
   PubMed Web of Science ®Google Scholar
• Cheng, Y., L. Yu, A. Cracknell, and P. Gong. 2016. “Oil Palm Mapping Using Landsat and PALSAR: A Case Study in Malaysia.” International Journal of Remote Sensing 37 (22): 5431–5442. doi:10.1080/01431161.2016.1241448.
   Web of Science ®Google Scholar
• Cheng, Y., L. Yu, A. Cracknell, K. Kanniah, H. Lu, Y. Xu, and P. Gong. Forthcoming. “Mapping Oil Palm Extent in Malaysia Using ALOS-PALSAR.” International Journal of Remote Sensing (Targeting For).
   Google Scholar
• Cracknell, A. P., K. D. Kanniah, K. P. Tan, and L. Wang. 2013. “Evaluation of MODIS Gross Primary Productivity and Land Cover Products for the Humid Tropics Using Oil Palm Trees in Peninsular Malaysia and Google Earth Imagery.” International Journal of Remote Sensing 34 (20): 7400–7423. doi:10.1080/01431161.2013.820367.
   Web of Science ®Google Scholar
• Cracknell, A. P., K. D. Kanniah, K. P. Tan, and L. Wang. 2015. “Towards the Development of a Regional Version of MOD17 for the Determination of Gross and Net Primary Productivity of Oil Palm Trees.” International Journal of Remote Sensing 36 (1): 262–289. doi:10.1080/01431161.2014.995278.
   Web of Science ®Google Scholar
• Dong, J., X. Xiao, S. Sheldon, C. Biradar, G. Zhang, N. D. Duong, M. Hazarika, K. Wikantika, W. Takeuhci, and B. Moore III. 2014. “A 50-M Forest Cover Map in Southeast Asia from ALOS/PALSAR and Its Application on Forest Fragmentation Assessment.” Plos One 9 (1): e85801. doi:10.1371/journal.pone.0085801.
   PubMed Web of Science ®Google Scholar
• Fritz, S., L. Z. You, A. Bun, L. See, I. McCallum, C. Schill, C. Perger, J. Liu, M. Hansen, and M. Obersteiner. 2011. “Cropland for Sub-Saharan Africa: A Synergistic Approach Using Five Land Cover Data Sets.” Geophysical Research Letters 38: L04404. doi:10.1029/2010GL046213.
   Web of Science ®Google Scholar
• Gaveau, D. L., D. Sheil, M. A. S. Husnayaen, S. Arjasakusuma, M. Ancrenaz, P. Pacheco, and E. Meijaard. 2016. “Rapid Conversions and Avoided Deforestation: Examining Four Decades of Industrial Plantation Expansion in Borneo.” Scientific Reports 6: 32017. doi:10.1038/srep32017.
   PubMed Web of Science ®Google Scholar
• Gong, P., J. Wang, L. Yu, Y. C. Zhao, Y. Y. Zhao, L. Liang, Z. G. Niu, et al. 2013. “Finer Resolution Observation and Monitoring of Global Land Cover: First Mapping Results with Landsat TM and ETM+ Data.” International Journal of Remote Sensing 34 (7): 2607–2654. doi:10.1080/01431161.2012.748992.
   Web of Science ®Google Scholar
• Gong, P., L. Yu, C. Li, J. Wang, L. Liang, L. Ji, Y. Bai, Y. Cheng, and Z. Zhu. 2016. “A New Paradigm for Global Land Cover Mapping.” Annals of GIS 22 (2): 87–102. doi:10.1080/19475683.2016.1164247.
   Google Scholar
• Gutiérrez-Vélez, V. H., and R. DeFries. 2013. “Annual Multi-Resolution Detection of Land Cover Conversion to Oil Palm in the Peruvian Amazon.” Remote Sensing of Environment 129: 154–167. doi:10.1016/j.rse.2012.10.033.
   Web of Science ®Google Scholar
• Koh, L. P., J. Miettinen, S. C. Liew, and J. Ghazoul. 2011. “Remotely Sensed Evidence of Tropical Peatland Conversion to Oil Palm.” Proceedings of the National Academy of Sciences of the United States of America 108 (12): 5127–5132. doi:10.1073/pnas.1018776108.
   PubMed Web of Science ®Google Scholar
• Koh, L. P., and D. S. Wilcove. 2008. “Is Oil Palm Agriculture Really Destroying Tropical Biodiversity?” Conservation Letters 1 (2): 60–64. doi:10.1111/j.1755-263X.2008.00011.x.
   Web of Science ®Google Scholar
• Li, L., and J. W. Dong. 2015. “Mapping Oil Palm Plantations in Cameroon Using PALSAR 50-M Orthorectified Mosaic Images.” Remote Sensing 7 (2): 1206–1224. doi:10.3390/rs70201206.
   Web of Science ®Google Scholar
• Li, X., L. Yu, Y. Xu, J. Yang, and P. Gong. 2016. “Ten Years after Hurricane Katrina: Monitoring Recovery in New Orleans and the Surrounding Areas Using Remote Sensing.” Science Bulletin 61: 1460–1470. doi:10.1007/s11434-016-1167-y.
   Web of Science ®Google Scholar
• Morel, A. C., J. B. Fisher, and Y. Malhi. 2012. “Evaluating the Potential to Monitor Aboveground Biomass in Forest and Oil Palm in Sabah, Malaysia, for 2000–2008 with Landsat ETM+ and ALOS-PALSAR.” International Journal of Remote Sensing 33 (11): 3614–3639. doi:10.1080/01431161.2011.631949.
   Web of Science ®Google Scholar
• Petersen, R., E. D. Goldman, N. Harris, S. Sargent, D. Aksenov, A. Manisha, E. Esipova, et al. 2016. Mapping Tree Plantations with Multispectral Imagery: Preliminary Results for Seven Tropical Countries. Washington, DC: World Resources Institute.
   Google Scholar
• Ridder, R. M. 2007. Global Forest Resources Assessment 2010, Options and Recommendations for a Global Remote Sensing Survey, 56. Rome: FAO.
   Google Scholar
• Sahr, K., D. White, and A. J. Kimerling. 2003. “Geodesic Discrete Global Grid Systems.” Cartography and Geographic Information Science 30 (2): 121–134. doi:10.1559/152304003100011090.
   Google Scholar
• Tan, K. P., K. D. Kanniah, and A. P. Cracknell. 2013. “Use of UK-DMC 2 and ALOS PALSAR for Studying the Age of Oil Palm Trees in Southern Peninsular Malaysia.” International Journal of Remote Sensing 34 (20): 7424–7446. doi:10.1080/01431161.2013.822601.
   Web of Science ®Google Scholar
• Xiao, X., S. Boles, S. Frolking, C. Li, J. Y. Babu, W. Salas, and B. Moore III. 2006. “Mapping Paddy Rice Agriculture in South and Southeast Asia Using Multi-Temporal MODIS Images.” Remote Sensing of Environment 100 (1): 95–113. doi:10.1016/j.rse.2005.10.004.
   Web of Science ®Google Scholar
• Yu, L., and P. Gong. 2012. “Google Earth as a Virtual Globe Tool for Earth Science Applications at the Global Scale: Progress and Perspectives.” International Journal of Remote Sensing 33 (12): 3966–3986. doi:10.1080/01431161.2011.636081.
   Web of Science ®Google Scholar
• Yu, L., X. Li, C. Li, Y. Zhao, Z. Niu, H. Huang, J. Wang, et al. 2017. “Using a Global Reference Sample Set and a Cropland Map for Area Estimation in China.” Science China Earth Sciences 60 (2): 277–285. doi:10.1007/s11430-016-0064-5.
   Web of Science ®Google Scholar
• Yu, L., J. Wang, N. Clinton, Q. Xin, L. Zhong, Y. Chen, and P. Gong. 2013. “FROM-GC: 30m Global Cropland Extent Derived through Multi-Source Data Integration.” International Journal of Digital Earth 6 (6): 521–533. doi:10.1080/17538947.2013.822574.
   Web of Science ®Google Scholar
• Zhao, Y., P. Gong, L. Yu, L. Hu, X. Li, C. Li, H. Zhang, et al. 2014. “Towards a Common Validation Sample Set for Global Land-Cover Mapping.” International Journal of Remote Sensing 35 (13): 4795–4814. doi:10.1080/01431161.2014.930202.
   Web of Science ®Google Scholar