Creation of New Global Land Cover Map with Map Integration


We present here a new approach to the development of a global land cover map. We combined three existing global land cover maps (MOD12, GLC2000, and UMD) based on the principle that the majority view prevails and validated the resulting map by using information collected as part of the Degree Confluence Project (DCP). We used field survey information gathered by DCP volunteers from 4211 worldwide locations to validate the new land cover map, as well as the three existing land cover maps that were combined to create it. Agreement between the DCP-derived information and the land cover maps was 61.3% for our new land cover map, 60.3% for MOD12, 58.9% for GLC2000, and 55.2% for UMD. Although some of the improvements we achieved were not statistically significant, this project has shown that an improved land cover map can be developed and well-validated globally using our method.

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K. Iwao, K. Nasahara, T. Kinoshita, Y. Yamagata, D. Patton and S. Tsuchida, "Creation of New Global Land Cover Map with Map Integration," Journal of Geographic Information System, Vol. 3 No. 2, 2011, pp. 160-165. doi: 10.4236/jgis.2011.32013.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] R. S. DeFries, C. B. Field, I. Fung, G. J. Collatz and L. Bounoua, “Combining Satellite Data and Biogeochemical Models to Estimate Global Effects of Human-Induced Land Cover Change on Carbon Emissions and Primary Productivity,” Global Biogeochemical Cycles, Vol. 13, No. 3, 1999, pp. 803-815. doi:10.1029/1999GB900037
[2] D. E. Ahl, S. T. Gower, D. S. Mackay, S. N. Burrows, J. M. Norman and G. R. Diak, “The Effects of Aggregated Land Cover Data on Estimating NPP in Northern Wisconsin,” Remote Sensing of Environment,2005, Vol. 97, pp. 1-14. doi:10.1016/j.rse.2005.02.016
[3] T. Sasai, K. Ichii, Y. Yamaguchi and R. Nemani, “Simulating Terrestrial Carbon Fluxes Using the New Biosphere Model ‘Biosphere Model Integrating Eco-Physio- logical and Mechanistic Approaches Using Satellite Data’ (BEAMS),” Journal of Geophysical Research, Vol. 110, 2005.
[4] M. Jung, H. Kathrin, H. Martin and C. Galina, “Exploiting Synergies of Global Land Cover Products for Carbon Cycle Modeling,” Remote Sensing of Environment, Vol. 101, 2006, pp. 534-553. doi:10.1016/j.rse.2006.01.020
[5] M. Obersteiner, G. Alexandrov, P. Benítez, I. McCallum, F. Kraxner, K. Riahi, D. Rokityanskiy and Y. Yamagata, “Global Supply of Biomass for Energy and Carbon Sequestration from Afforestation/Reforestation Activities,” Mitigation and Adaptation Strategies for Global Change, Vol. 11, No. 5-6, 2006, pp. 1003-1021. doi:10.1007/s11027-006-9031-z
[6] C. Giri, Z. Zhu and B. Reed, “A Comparative Analysis of the Global Land Cover 2000 and MODIS Land Cover Data Sets,” Remote Sensing of Environment, Vol. 94, 2005, pp. 123-132. doi:10.1016/j.rse.2004.09.005
[7] I. McCallum, M. Obersteiner, S. Nilsson and A. Shvidenko, “A Spatial Comparison of Four Satellite Derived 1 km Global Land Cover Datasets,” International Journal of Applied Earth Observation and Geoinformation, Vol. 8, No. 4, 2006, pp. 246-255. doi:10.1016/j.jag.2005.12.002
[8] K. Iwao, K. Nishida, T. Kinoshita and Y. Yamagata, “Validating Land Cover Maps with Degree Confluence Project Information,” Geophysical Research Letters, Vol. 33, 2006.
[9] F. Fritz, I. McCallum, C. Schill, C. Perger, R. Grillmayer, F. Achard, F. Kraxner and M. Obersteiner, “Geo- Wiki.Org: The Use of Crowdsourcing to Improve Global Land Cover,” Remote Sensing of Environment, Vol. 1, 2009, pp. 345-354.
[10] X. H. Liu, A. K. Skidmore and O. H. Van, “Integration of Classification Methods for Improvement of Land-Cover Map Accuracy,” The ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 56, 2002, pp. 257-268. doi:10.1016/S0924-2716(02)00061-8
[11] M. Hansen, R. DeFries, J. R. G. Townshed and R. Sohlberg, “Global Land Cover Classification at 1km Resolution Using a Decision Tree Classifier,” International Journal of Remote Sensing, Vol. 21, No. 6-7, 2000, pp. 1331-1365. doi:10.1080/014311600210209
[12] Intergovernmental Panel on Climate Chang, “Good Practice Guidance for Land Use, Land-Use Change, and Forestry,” 2003.
[13] H. Sato and R. Tateishi, “The Review of a Global Land Use, Land Cover, and Vegetation Classification System,” Geogr. Surv. Inst. Japan Annu. Rep., 2001, Vol. 96, pp. 69-99.
[14] M. C. Peel, B. L. Finlayson and T. A. McMahon, “Updated World Map of the K?ppen-Geiger Climate Classification,” Hydrology and Earth System Sciences, Vol. 11, No. 5, 2007, pp. 1633- 1644. doi:10.5194/hess-11-1633-2007

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