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

作者: Di Yang , Chiung-Shiuan Fu , Audrey C. Smith , Qiang Yu

DOI: 10.1080/10095020.2017.1371385

关键词: Distribution (economics)Scale (map)Data scienceRandom forestCartographyComputer scienceLand coverTraining (civil)Collaborative mappingVolunteered geographic informationTask (project management)

摘要: AbstractA land-use map at the regional scale is a heavy computation task yet critical to most landowners, researchers, and decision-makers, enabling them make informed decisions for varying objectives. There are two major difficulties in generating land classification maps scale: necessity of large data-sets training points expensive cost terms both money time. Volunteered Geographic Information opens new era mapping visualizing physical world by providing an open-access database valuable georeferenced information collected volunteer citizens. As one well-known VGI initiatives, OpenStreetMap (OSM), contributes not only road network distribution but also potential using these data justify delineate patterns. Whereas, large-scale approaches – including national scales confuse “land cover” “land-use”, or build up based on modeled la...

参考文章(49)
J. J. Lawler, D. J. Lewis, E. Nelson, A. J. Plantinga, S. Polasky, J. C. Withey, D. P. Helmers, S. Martinuzzi, D. Pennington, V. C. Radeloff, Projected land-use change impacts on ecosystem services in the United States. Proceedings of the National Academy of Sciences of the United States of America. ,vol. 111, pp. 7492- 7497 ,(2014) , 10.1073/PNAS.1405557111
V.F. Rodriguez-Galiano, B. Ghimire, J. Rogan, M. Chica-Olmo, J.P. Rigol-Sanchez, An assessment of the effectiveness of a random forest classifier for land-cover classification ISPRS Journal of Photogrammetry and Remote Sensing. ,vol. 67, pp. 93- 104 ,(2012) , 10.1016/J.ISPRSJPRS.2011.11.002
James M. Omernik, Glenn E. Griffith, Ecoregions of the conterminous United States: evolution of a hierarchical spatial framework. Environmental Management. ,vol. 54, pp. 1249- 1266 ,(2014) , 10.1007/S00267-014-0364-1
Russell G. Congalton, A review of assessing the accuracy of classifications of remotely sensed data Remote Sensing of Environment. ,vol. 37, pp. 35- 46 ,(1991) , 10.1016/0034-4257(91)90048-B
Jonathan A Foley, Ruth DeFries, Gregory P Asner, Carol Barford, Gordon Bonan, Stephen R Carpenter, F Stuart Chapin, Michael T Coe, Gretchen C Daily, Holly K Gibbs, Joseph H Helkowski, Tracey Holloway, Erica A Howard, Christopher J Kucharik, Chad Monfreda, Jonathan A Patz, I Colin Prentice, Navin Ramankutty, Peter K Snyder, Global Consequences of Land Use Science. ,vol. 309, pp. 570- 574 ,(2005) , 10.1126/SCIENCE.1111772
Matthew Zook, Mark Graham, Taylor Shelton, Sean Gorman, Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake Social Science Research Network. ,(2010) , 10.2139/SSRN.2216649
OT Coomes, R Dirzo, G Fischer, C Folke, PS George, K Homewood, J Imbernon, R Leemans, X Li, EF Moran, M Mortimore, PS Ramakrishnan, JF Richards, H Skanes, W Steffen, GD Stone, U Svedin, TA Veldkamp, C Vogel, J Xu, The causes of land-use and land-cover change: moving beyond the myths Global Environmental Change-human and Policy Dimensions. ,vol. 11, pp. 261- 269 ,(2001) , 10.1016/S0959-3780(01)00007-3
Jamal Jokar Arsanjani, Peter Mooney, Alexander Zipf, Anne Schauss, Quality Assessment of the Contributed Land Use Information from OpenStreetMap Versus Authoritative Datasets OpenStreetMap in GIScience. pp. 37- 58 ,(2015) , 10.1007/978-3-319-14280-7_3