Detection and characterization of oil palm plantations through MODIS EVI time series

References

• Basiron, Y. 2007. “Palm Oil Production through Sustainable Plantations.” European Journal of Lipid Science and Technology 109 (4): 289–295. doi:10.1002/ejlt.200600223.
   Web of Science ®Google Scholar
• Carlson, K. M., L. M. Curran, D. Ratnasari, A. M. Pittman, B. S. Soares-Filho, G. P. Asner, … 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 109 (19): 7559–7564. doi:10.1073/pnas.1200452109.
   PubMed Web of Science ®Google Scholar
• Chong, K. L., K. D. Kanniah, C. Pohl, and K. P. Tan. 2017. “A Review of Remote Sensing Applications for Oil Palm Studies.” Geo-Spatial Information Science 20 (2): 184–200. doi:10.1080/10095020.2017.1337317.
   Web of Science ®Google Scholar
• Colombo, R., L. Busetto, F. Fava, B. Di Mauro, M. Migliavacca, E. Cremonese, M. Galvagno, et al. 2011. “Phenological Monitoring of Grassland and Larch in the Alps from Terra and Aqua MODIS Images.” Italian Journal of Remote Sensing-Rivista Italiana Di Telerilevamento 43: 83–96. doi:10.5721/itjrs20114336.
   Web of Science ®Google Scholar
• Corley, R. H. V., and P. B. Tinker. 2008. The Oil Palm. Oxford: John Wiley & Sons.
   Google Scholar
• Curran, L. M., S. N. Trigg, A. K. McDonald, D. Astiani, Y. M. Hardiono, P. Siregar, I. Caniago, and E. Kasischke. 2004. “Lowland Forest Loss in Protected Areas of Indonesian Borneo.” Science 303 (5660): 1000–1003. doi:10.1126/science.1091714.
   PubMed Web of Science ®Google Scholar
• FAO - Food and Agriculture Organization of the United Nations. 2018. “FAOSTAT”. Accessed 18 June 2018 2018. http://www.fao.org/faostat/en/#home
   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
• Hansen, M. C., P. V. Potapov, R. Moore, M. Hancher, S. A. Turubanova, A. Tyukavina, D. Thau, et al. 2013. “High-Resolution Global Maps of 21st-Century Forest Cover Change.” Science 342 (6160): 850–853. doi:10.1126/science.1244693.
   PubMed Web of Science ®Google Scholar
• Hmimina, G., E. Dufrêne, J. Y. Pontailler, N. Delpierre, M. Aubinet, B. Caquet, and P. Gross. 2013. “Evaluation of the Potential of MODIS Satellite Data to Predict Vegetation Phenology in Different Biomes: An Investigation Using Ground-Based NDVI Measurements.” Remote Sensing of Environment 132: 145–158. doi:10.1016/j.rse.2013.01.010.
   Web of Science ®Google Scholar
• Huete, A., C. Justice, and W. Van Leeuwen. 1999. “MODIS Vegetation Index (MOD13).” Algorithm Theoretical Basis Document 3: 213. doi:10.1016/s0034-4257(99)00022-x.
   Web of Science ®Google Scholar
• Hufkens, K., M. Friedl, O. Sonnentag, B. H. Braswell, T. Milliman, and A. D. Richardson. 2012. “Linking Near-Surface and Satellite Remote Sensing Measurements of Deciduous Broadleaf Forest Phenology.” Remote Sensing of Environment 117: 307–321. doi:10.1016/j.rse.2011.10.006.
   Web of Science ®Google Scholar
• Iremonger, S., C. Ravilious, and T. Quiton. 1997. A Global Overview of Forest Conservation. Cambridge, UK: Center for International Forestry Research and World Conservation Monitoring Centre. CD-ROM.
   Google Scholar
• Ismail, A., and M. N. Mamat. 2002. “The Optimal Age of Oil Palm Replanting.” Oil Palm Industry Economic Journal 2 (1): 2002.
   Google Scholar
• Khamis, A., Z. Ismail, K. Haron, and A. Tarmizi. 2005. “Nonlinear Growth Models for Modeling Oil Palm Yield Growth.” Journal of Mathematics and Statistics 1 (3): 225–233. doi:10.3844/jmssp.2005.225.232.
   Google Scholar
• Koh, L. P. 2007. “Potential Habitat and Biodiversity Losses from Intensified Production of Different Biodiesel Feedstocks.” Conservation Biology 21: 1373–1375. doi:10.1111/j.1523-1739.2007.00771.x.
   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
• Lam Kuok Choy.2016. “The Analysis of Rainfall Variability and Response of Oil Palm Phenology in Tropical Climate Using MODIS Vegetation Index”. Proceedings of Geospatial World Forum 2016, The Netherlands.
   Google Scholar
• Marlier, M. E., R. S. DeFries, P. S. Kim, S. N. Koplitz, D. J. Jacob, L. J. Mickley, and S. S. Myers. 2015. “Fire Emissions and Regional Air Quality Impacts from Fires in Oil Palm, Timber, and Logging Concessions in Indonesia.” Environmental Research Letters 10 (8): 085005. doi:10.1088/1748-9326/10/8/085005.
   Web of Science ®Google Scholar
• McMorrow, J. 2001. “Linear Regression Modelling for the Estimation of Oil Palm Age from Landsat TM.” International Journal of Remote Sensing 22: 2243–2264. doi:10.1080/01431160117188.
   Web of Science ®Google Scholar
• McMorrow, J., and M. A. Talip. 2001. “Decline of Forest Area in Sabah, Malaysia: Relationship to State Policies, Land Code and Land Capability.” Global Environmental Change 11 (3): 217–230. doi:10.1016/s0959-3780(00)00059-5.
   Web of Science ®Google Scholar
• Mittermeier, R. A. A., P. R. Gil, and M. Hoffman 2004. Hotspots Revisited: Earth’s biologically richest and most endangered ecoregions. Sierra Madre: CEMEX/Agrupacion Sierra Madre. doi:10.5860/choice.38-0922.
   Google Scholar
• Muratni, R., I. Hanafi, and A. Kurnaen. 2016. “Analysis of Conversion of Forest Land to Be Oil Palm Plantation Area in the District of North Barito Central Kalimantan Province.” International Journal of Ecosystem 6 (1): 14–24.
   Google Scholar
• Richards, J. A., and J. A. Richards. 1999. Remote Sensing Digital Image Analysis. Berlin et al. : Springer.
   Google Scholar
• Shafri, H. Z., M. I. Anuar, I. A. Seman, and N. M. Noor. 2011. “Spectral Discrimination of Healthy and Ganoderma-Infected Oil Palms from Hyperspectral Data.” International Journal of Remote Sensing 32 (22): 7111–7129. doi:10.1080/01431161.2010.519003.
   Web of Science ®Google Scholar
• Sodhi, N. S., L. P. Koh, B. W. Brook, and P. K. Ng. 2004. “Southeast Asian Biodiversity: An Impending Disaster.” Trends in Ecology & Evolution 19 (12): 654–660. doi:10.1016/j.tree.2004.09.006.
   PubMed Web of Science ®Google Scholar
• Solano, R., K. Didan, A. Jacobson, and A. Huete 2010. “MODIS Vegetation Index User’s Guide (MOD13 Series)”. Vegetation Index and Phenology Lab, The University of Arizona, 1–38.
   Google Scholar
• Soudani, K., G. Le Maire, E. Dufrêne, C. François, N. Delpierre, E. Ulrich, and S. Cecchini. 2008. “Evaluation of the Onset of Green-Up in Temperate Deciduous Broadleaf Forests Derived from Moderate Resolution Imaging Spectroradiometer (MODIS) Data.” Remote Sensing of Environment 112 (5): 2643–2655. doi:10.1016/j.rse.2007.12.004.
   Web of Science ®Google Scholar
• Testa, S., K. Soudani, L. Boschetti, and E. Borgogno-Mondino. 2018. “MODIS-derived EVI, NDVI and WDRVI Time Series to Estimate Phenological Metrics in French Deciduous Forests.” International Journal of Applied Earth Observation and Geoinformation 64: 132–144. doi:10.1016/j.jag.2017.08.006.
   Web of Science ®Google Scholar
• Xiao, X., B. Braswell, Q. Zhang, S. Boles, S. Frolking, and B. Moore III. 2003. “Sensitivity of Vegetation Indices to Atmospheric Aerosols: Continental-Scale Observations in Northern Asia.” Remote Sensing of Environment 84 (3): 385–392. doi:10.1016/s0034-4257(02)00129-3.
   Web of Science ®Google Scholar
• Zhang, X., M. A. Friedl, C. B. Schaaf, A. H. Strahler, J. C. Hodges, F. Gao, and A. Huete. 2003. “Monitoring Vegetation Phenology Using MODIS.” Remote Sensing of Environment 84 (3): 471–475. doi:10.1016/s0034-4257(02)00135-9.
   Web of Science ®Google Scholar