Open land-use map: a regional land-use mapping strategy for incorporating OpenStreetMap with earth observations

References

• Abdullah, S. A., and N. Nakagoshi. 2007. “Forest Fragmentation and Its Correlation to Human Land Use Change in the State of Selangor, Peninsular Malaysia.” Forest Ecology and Management 241 (1–3): 39–48.10.1016/j.foreco.2006.12.016
   Web of Science ®Google Scholar
• Agarwal, C., G. M. Green, J. M. Grove, T. P. Evans, and C. M. Schweik. 2002. A Review and Assessment of Land-use Change Models: Dynamics of Space, Time, and Human Choice. UFS Technical Report NE-297. Burlington, VT: U.S. Department of Agriculture, Forest Service, Northeastern Research Station.10.2737/NE-GTR-297
   Google Scholar
• Azzari, G., and D. B. Lobell. 2017. “Landsat-based Classification in the Cloud: An Opportunity for a Paradigm Shift in Land Cover Monitoring.” Remote Sensing of Environment (Online Published). doi:10.1016/j.rse.2017.05.025.
   Google Scholar
• Bateman, I. J., A. R. Harwood, G. M. Mace, R. T. Watson, D. J. Abson, B. Andrews, A. Binner, A. Crowe, B. H. Dugdale, and C. Fezzi. 2013. “Bringing Ecosystem Services into Economic Decision-making: Land use in the United Kingdom.” Science 341 (6141): 45–50.10.1126/science.1234379
   PubMed Web of Science ®Google Scholar
• Becknell, J. M., A. R. Desai, M. C. Dietze, C. A. Schultz, G. Starr, P. A. Duffy, J. F. Franklin, A. Pourmokhtarian, J. Hall, P. C. Stoy, and M. W. Binford. 2015. “Assessing Interactions Among Changing Climate, Management, and Disturbance in Forests: a Macrosystems Approach.” BioScience 65 (3): 263–274.
   Web of Science ®Google Scholar
• Breiman, L. 2001. “Random Forests.” Machine Learning 45 (1): 5–32.10.1023/A:1010933404324
   Web of Science ®Google Scholar
• Bryan, B. A., S. Barry, and S. Marvanek. 2009. “Agricultural Commodity Mapping for Land Use Change Assessment and Environmental Management: An Application in the Murray–Darling Basin, Australia.” Journal of Land Use Science 4 (3): 131–155.10.1080/17474230802618722
   Google Scholar
• Chander, G., B. L. Markham, and D. L. Helder. 2009. “Summary of Current Radiometric Calibration Coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI Sensors.” Remote Sensing of Environment 113 (5): 893–903.10.1016/j.rse.2009.01.007
   Web of Science ®Google Scholar
• Ciepluch, B., P. Mooney, R. Jacob, and A. C. Winstanley. 2009. “Using OpenStreetMap to Deliver Location-based Environmental Information in Ireland.” SIGSPATIAL Special 1 (3): 17–22.10.1145/1645424
   Google Scholar
• Congalton, R. G. 1991. “A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data.” Remote Sensing of Environment 37 (1): 35–46.10.1016/0034-4257(91)90048-B
   Web of Science ®Google Scholar
• Elwood, S. 2008. “Volunteered Geographic Information: Key Questions, Concepts and Methods to Guide Emerging Research and Practice.” GeoJournal 72 (3–4): 133–135.10.1007/s10708-008-9187-z
   Google Scholar
• Estima, J., and M. Painho. 2013. “Exploratory Analysis of OpenStreetMap for Land use Classification.” Paper presented at The Second ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information, GEOCROWD’13, Orlando, FL, USA, November 5–8, 39–46.
   Google Scholar
• Estima, J., and M. Painho. 2015. “Investigating the Potential of OpenStreetMap for Landuse/Land Cover Production: A Case Study for Continental Portugal.” In OpenStreetMap in GIScience, 273–293. Berlin, Heidelberg: Springer-Verlag.
   Google Scholar
• Foley, J. A., R. DeFries, G. P. Asner, C. Barford, G. Bonan, S. R. Carpenter, F. S. Chapin, et al. 2005. “Global Consequences of Land Use.” Science 309 (5734): 570–574.10.1126/science.1111772
   PubMed Web of Science ®Google Scholar
• Folke, C., C. S. Holling, and C. Perrings. 1996. “Biological Diversity, Ecosystems, and the Human Scale.” Ecological Applications 6 (4): 1018–1024.10.2307/2269584
   Web of Science ®Google Scholar
• Girres, J. F., and G. Touya. 2010. “Quality Assessment of the French OpenStreetMap Dataset.” Transactions in GIS 14 (4): 435–459.10.1111/tgis.2010.14.issue-4
   Web of Science ®Google Scholar
• Haklay, M., A. Singleton, and C. Parker. 2008. “Web Mapping 2.0: The Neogeography of the GeoWeb.” Geography Compass 2 (6): 2011–2039.10.1111/geco.2008.2.issue-6
   Google Scholar
• Hartley, M. J. 2002. “Rationale and Methods for Conserving Biodiversity in Plantation Forests.” Forest Ecology and Management 155 (1): 81–95.10.1016/S0378-1127(01)00549-7
   Web of Science ®Google Scholar
• Hegazy, I. R., and M. R. Kaloop. 2015. “Monitoring Urban Growth and Land Use Change Detection with GIS and Remote Sensing Techniques in Daqahlia Governorate Egypt.” International Journal of Sustainable Built Environment 4 (1): 117–124.10.1016/j.ijsbe.2015.02.005
   Google Scholar
• Huete, A., K. Didan, T. Miura, E. P. Rodriguez, X. Gao, and L. G. Ferreira. 2002. “Overview of the Radiometric and Biophysical Performance of the MODIS Vegetation Indices.” Remote Sensing of Environment 83 (1–2): 195–213.10.1016/S0034-4257(02)00096-2
   Web of Science ®Google Scholar
• Jarvis, A., H. I. Reuter, A. Nelson, and E. Guevara. 2008. “Hole-filled SRTM for the Globe Version 4.” Available from the CGIAR-CSI SRTM 90m Database (http://srtm.csi.cgiar.org). 2008.
   Google Scholar
• Jokar, A. J., M. Helbich, M. Bakillah, J. Hagenauer, and A. Zipf. 2013. “Toward Mapping Land use Patterns from Volunteered Geographic Information.” International Journal of Geographical Information Science 27 (12): 2264–2278.10.1080/13658816.2013.800871
   Web of Science ®Google Scholar
• Jokar, A. J., M. Helbich, M. Bakillah, and L. Loos. 2015. “The Emergence and Evolution of OpenStreetMap: A Cellular Automata Approach.” International Journal of Digital Earth 8 (1): 76–90.10.1080/17538947.2013.847125
   Web of Science ®Google Scholar
• Jokar, A. J., P. Mooney, A. Zipf, and A. Schauss. 2015. “Quality Assessment of the Contributed Land Use Information from OpenStreetMap versus Authoritative Datasets”. In OpenStreetMap in GIScience, 37–58. Berlin, Heidelberg: Springer-Verlag.
   Google Scholar
• Johansen, K., S. Phinn, and M. Taylor. 2015. “Mapping Woody Vegetation Clearing in Queensland, Australia from Landsat Imagery Using the Google Earth Engine.” Remote Sensing Applications: Society and Environment 1: 36–49.10.1016/j.rsase.2015.06.002
   Google Scholar
• Johnson, B. A., and K. Iizuka. 2016. “Integrating OpenStreetMap Crowdsourced Data and Landsat Time-series Imagery for Rapid/Land Cover (LULC) Mapping: Case Study of the Laguna de Bay Area of the Philippines.” Applied Geography 67: 140–149.10.1016/j.apgeog.2015.12.006
   Web of Science ®Google Scholar
• Lambin, E. F., B. L. Turner, H. J. Geist, S. B. Agbola, A. Angelsen, J. W. Bruce, O. T. Coomes, et al. 2001. “The Causes of Land use and Land-cover Change: Moving beyond the Myths.” Global Environmental Change 11 (4): 261–269.10.1016/S0959-3780(01)00007-3
   Web of Science ®Google Scholar
• Lawler, J. J., D. J. Lewis, E. Nelson, A. J. Plantinga, S. Polasky, J. C. Withey, D. P. Helmers, S. Martinuzzi, D. Pennington, and V. C. Radeloff. 2014. “Projected Land use Change Impacts on Ecosystem Services in the United States.” Proceedings of the National Academy of Sciences of USA 111 (20): 7492–7497. doi:10.1073/pnas.1405557111.
   PubMed Web of Science ®Google Scholar
• Lesslie, R., M. Barson, and J. Smith. 2006. “Land Use Information for Integrated Natural Resources Management – A Coordinated National Mapping Program for Australia.” Journal of Land Use Science 1 (1): 45–62.10.1080/17474230600605244
   Google Scholar
• Matson, P. A., W. J. Parton, A. G. Power, and M. J. Swift. 1997. “Agricultural Intensification and Ecosystem Properties.” Science 277 (5325): 504–509.10.1126/science.277.5325.504
   PubMed Web of Science ®Google Scholar
• Neis, P., D. Zielstra, and A. Zipf. 2012. “The Street Network Evolution of Crowdsourced Maps: OpenStreetMap in Germany 2007–2011.” Future Internet 4: 1–21.
   Google Scholar
• Omernik, J. M., and G. E. Griffith. 2014. “Ecoregions of the Conterminous United States: Evolution of a Hierarchical Spatial Framework.” Environmental Management 54 (6): 1249–1266.10.1007/s00267-014-0364-1
   PubMed Web of Science ®Google Scholar
• Padarian, J., B. Minasny, and A. B. McBratney. 2015. “Using Google’s Cloud-based Platform for Digital Soil Mapping.” Computers & Geosciences 83: 80–88.10.1016/j.cageo.2015.06.023
   Web of Science ®Google Scholar
• Patel, N. N., E. Angiuli, P. Gamba, A. Gaughan, G. Lisini, F. R. Stevens, and G. Trianni. 2015. “Multitemporal Settlement and Population Mapping from Landsat Using Google Earth Engine.” International Journal of Applied Earth Observation and Geoinformation 35: 199–208.10.1016/j.jag.2014.09.005
   Web of Science ®Google Scholar
• Rodriguez-Galiano, V. F., B. Ghimire, J. Rogan, M. Chica-Olmo, and J. P. Rigol-Sanchez. 2012. “An Assessment of the Effectiveness of a Random Forest Classifier for Land-cover Classification.” ISPRS Journal of Photogrammetry and Remote Sensing 67: 93–104.10.1016/j.isprsjprs.2011.11.002
   Web of Science ®Google Scholar
• See, L., A. Comber, C. Salk, S. Fritz, M. van der Velde, C. Perger, C. Schill, I. McCallum, F. Kraxner, and M. Obersteiner. 2013. “Comparing the Quality of Crowdsourced Data Contributed by Expert and Non-experts.” PLOS ONE 8 (7): e69958.10.1371/journal.pone.0069958
   PubMed Web of Science ®Google Scholar
• See, L., D. Schepaschenko, M. Lesiv, I. McCallum, S. Fritz, A. Comber, and M. A. Siraj. 2015. “Building a Hybrid Land Cover Map with Crowdsourcing and Geographically Weighted Regression.” ISPRS Journal of Photogrammetry and Remote Sensing 103: 48–56.10.1016/j.isprsjprs.2014.06.016
   Web of Science ®Google Scholar
• Senf, C., P. Hostert, and S. van der Linden. 2012. “Using MODIS Time Series and Random Forests Classification for Mapping Land Use in South-East Asia.” Paper presented at the 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany, July 22–27, 6733–6736.
   Google Scholar
• Simard, M., N. Pinto, J. B. Fisher, and A. Baccini. 2011. “Mapping Forest Canopy Height Globally with Spaceborne Lidar.” Journal of Geophysical Research: Biogeosciences 116 (G4): G04021. doi:10.1029/2011JG001708.
   Web of Science ®Google Scholar
• Soulard, C. E., C. M. Albano, M. L. Villarreal, and J. J. Walker. 2016. “Continuous 1985–2012 Landsat Monitoring to Assess Fire Effects on Meadows in Yosemite National Park, California.” Remote Sensing 8 (5): 371–387.10.3390/rs8050371
   Web of Science ®Google Scholar
• Sumarga, E., and L. Hein. 2014. “Mapping Ecosystem Services for Land Use Planning, the Case of Central Kalimantan.” Environmental Management 54 (1): 84–97.10.1007/s00267-014-0282-2
   PubMed Web of Science ®Google Scholar
• Turner, M. G. 1989. “Landscape Ecology: The Effect of Pattern on Process.” Annual Review of Ecology and Systematics 20 (1): 171–197.10.1146/annurev.es.20.110189.001131
   Google Scholar
• Visconti, P., M. Di Marco, J. G. Alvarez-Romero, S. R. Januchowski-Hartley, R. L. Pressey, R. Weeks, and C. Rondinini. 2013. “Effects of Errors and Gaps in Spatial Data Sets on Assessment of Conservation Progress.” Conservation Biology 27 (5): 1000–1010.10.1111/cobi.12095
   PubMed Web of Science ®Google Scholar
• Vitousek, P. M., H. A. Mooney, J. Lubchenco, and J. M. Melillo. 1997. “Human Domination of Earth’s Ecosystems.” Science 277 (5325): 494–499.10.1126/science.277.5325.494
   Web of Science ®Google Scholar
• Wear, D. N., and J. Greis. 2002. “Southern Forest Resource Assessment: Summary of Findings.” Journal of Forestry 100 (7): 6–14.
   Web of Science ®Google Scholar
• Wear, D. N., and J. Greis. 2013. The Southern Forest Futures Project. Technical Report (SRS-GTR-178). Asheville, NC: USDA-Forest Service, Southern Research Station. https://www.srs.fs.usda.gov/futures/technical-report/.
   Google Scholar
• Weng, Q. 2002. “Land Use Change Analysis in the Zhujiang Delta of China Using Satellite Remote Sensing, GIS and Stochastic Modelling.” Journal of Environmental Management 64 (3): 273–284.10.1006/jema.2001.0509
   PubMed Web of Science ®Google Scholar
• Yang, D. 2017. “Mapping Regional Landscape by Using OpenStreetMap (OSM): A Case Study to Understand Forest Patterns in Maya Zone, Mexico.” In Volunteered Geographic Information and the Future of Geospatial Data, edited by C. E. C. Campelo, M. Bertolotto and P. Corcoran, 138–157. Hershey, PA: IGI Global.10.4018/AGT
   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): 3966–3986.10.1080/01431161.2011.636081
   Web of Science ®Google Scholar
• Zhang, D., B. J. Butler, and R. V. Nagubadi. 2012. “Institutional Timberland Ownership in the US South: Magnitude, Location, Dynamics, and Management.” Journal of Forestry 110 (7): 355–361.10.5849/jof.12-015
   Web of Science ®Google Scholar
• Zhu, Z., and C. E. Woodcock. 2012. “Object-based Cloud and Cloud Shadow Detection in Landsat Imagery.” Remote Sensing of Environment 118: 83–94.10.1016/j.rse.2011.10.028
   Web of Science ®Google Scholar
• Zook, M., M. Graham, T. Shelton, and S. Gorman. 2010. “Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake.” World Medical & Health Policy 2 (2): 7–33.
   Google Scholar