Using control data to determine the reliability of volunteered geographic information about land cover
Tài liệu tham khảo
Bicheron, P., Defourny, P., Brockmann, C., Schouten, L., Vancutsem, C., Huc, M., Bontemps, S., Leroy, M., Achard, F., Herold, M., Ranera, F., Arino, O., 2008. GlobCover: Products Description and Validation Report, 18, Toulouse, France. URL: http://ionia1.esrin.esa.int/docs/GLOBCOVER_Products_Description_Validation_Report_I2.1.pdf.
Brunsdon, 1996, Geographically weighted regression – a method for exploring spatial non-stationarity, Geographical Analysis, 28, 281, 10.1111/j.1538-4632.1996.tb00936.x
Brunsdon, 2012, Experiences with citizen science: assessing changes in the North American spring, Geoinformatica
Coleman, 2010, The potential and early limitations of volunteered geographic information, Geomatica, 64, 27
Comber, 2012, Spatial analysis of remote sensing image classification accuracy, Remote Sensing of Environment, 127, 237, 10.1016/j.rse.2012.09.005
Comber, 2012, Geographically weighted methods for estimating local surfaces of overall, user and producer accuracies, Remote Sensing Letters, 4, 373, 10.1080/2150704X.2012.736694
Congalton, 1991, A review of assessing the accuracy of classifications of remotely sensed data, Remote Sensing of Environment, 37, 35, 10.1016/0034-4257(91)90048-B
Di Gregorio, 2000
Feddema, 2005, The importance of land-cover change in simulating future climates, Science, 310, 1674, 10.1126/science.1118160
Foody, 2005, Local characterization of thematic classification accuracy through spatially constrained confusion matrices, International Journal of Remote Sensing, 26, 1217, 10.1080/01431160512331326521
Foody, 2012, Exploring the potential role of volunteer citizen sensors in land cover map accuracy assessment, 203
Foody, 2002, Status of land cover classification accuracy assessment, Remote Sensing of Environment, 80, 185, 10.1016/S0034-4257(01)00295-4
Fotheringham, 2002
Friedl, 2010, MODIS collection 5 global land cover: algorithm refinements and characterization of new datasets, Remote Sensing of Environment, 114, 168, 10.1016/j.rse.2009.08.016
Fritz, 2005, Comparison of land cover maps using fuzzy agreement, International Journal of Geographical Information Science, 19, 787, 10.1080/13658810500072020
Fritz, 2003
Fritz, 2009, Geo-Wiki.Org: the use of crowd-sourcing to improve global land cover, Remote Sensing, 1, 345, 10.3390/rs1030345
Fritz, 2011, Building a crowd-sourcing tool for the validation of urban extent and gridded population, Lecture Notes in Computer Science, 6783, 39, 10.1007/978-3-642-21887-3_4
Fritz, 2011, Observing terrestrial biomass globally
Fritz, 2011, Highlighting continued uncertainty in global land cover maps to the user community, Environmental Research Letters, 6, 044005, 10.1088/1748-9326/6/4/044005
Fritz, 2012, Geo-Wiki: an online platform for improving global land cover, Environmental Modelling and Software, 31, 110, 10.1016/j.envsoft.2011.11.015
Goodchild, 2007, Citizens as sensors: the world of volunteered geography, Geojournal, 69, 211, 10.1007/s10708-007-9111-y
Goodchild, 2010, Crowd sourcing geographic information for disaster response: a research frontier, International Journal of Digital Earth, 3, 231, 10.1080/17538941003759255
Haklay, 2010, How many volunteers does it take to map an area well? The validity of Linus’ law to volunteered geographic information, Cartographic Journal, 47, 315, 10.1179/000870410X12911304958827
Hudson-Smith, 2009, Mapping for the masses accessing Web 2.0 through crowd sourcing, Social Science Computer Review, 27, 524, 10.1177/0894439309332299
Jones, 2012, The rise of the GIS volunteer, Transactions in GIS, 16, 431, 10.1111/j.1467-9671.2012.01320.x
Iwao, 2006, Validating land cover maps with Degree Confluence Project information, Geophysical Research Letters, 33, L23404, 10.1029/2006GL027768
Lister, 2011, Natural history collections as sources of long-term datasets, Trends in Ecology & Evolution, 26, 153, 10.1016/j.tree.2010.12.009
Loveland, 2000, Development of a global land cover characteristics database and IGBP DISCover from 1km AVHRR data, International Journal of Remote Sensing, 21, 1303, 10.1080/014311600210191
Mooney, 2012, The annotation process in OpenStreetMap, Transactions in GIS, 16, 561, 10.1111/j.1467-9671.2012.01306.x
Morisette, 2002, A framework for the validation of MODIS land products, Remote Sensing of Environment, 83, 77, 10.1016/S0034-4257(02)00088-3
Myers, 2010
Perger, 2012, A campaign to collect volunteered geographic Information on land cover and human impact, 83
Schwartz, 2003
See, 2006, Towards a global hybrid land cover map for the year 2000, IEEE Transactions on Geoscience and Remote Sensing, 44, 1740, 10.1109/TGRS.2006.874750
Strahler, 2006
Tang, 2011, 2011 semi-supervised consensus labeling for crowd sourcing
The Guardian, 2011
van der Velde, 2012, Generating crop calendars with Web search data, Environmental Research Letters, 7, 024022, 10.1088/1748-9326/7/2/024022
Wiersma, 2010, Birding 2.0: citizen science and effective monitoring in the web 2.0 world, Avian Conservation and Ecology, 5, 13, 10.5751/ACE-00427-050213