A general-purpose spatial survey design for collaborative science and monitoring of global environmental change: The Global Grid

Remote Sensing

Volumn 8, Issue 10, 2016, Pages

  Theobald, David M ^a  

^a Conservation Science Partners ^*  (United States)

Author keywords

Citizen science; Collaborative science; Global Grid; Global monitoring; Probability based; Survey design

Indexed keywords

FORESTRY; LAND USE; PROBABILITY;

CITIZEN SCIENCE; COLLABORATIVE SCIENCE; GLOBAL GRID; GLOBAL MONITORING; SURVEY DESIGN;

SURVEYS;

EID: 85019668784     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs8100813     Document Type: Article

References (51)

1. Keller, M.; Schimel, D.S.; Hargrove, W.W.; Hoffman, F. A continental strategy for the National Ecological Observatory Network. Front. Ecol. Environ. 2008, 6, 282-284
2. Stehman, S.V. Basic probability sampling designs for thematic map accuracy assessments. Int. J. Remote Sens. 1999, 20, 2423-2441
3. Dobbie, M.J.; Henderson, B.L.; Stevens, D.L., Jr. Sparse sampling: Spatial design for monitoring stream networks. Stat. Surv. 2008, 2, 113-153
4. Theobald, D.M.; Stevens, D.L., Jr.; White, D.; Urquhart, N.S.; Olsen, A.R.; Norman, J.B. Using GIS to generate spatially-balanced random survey designs for natural resource applications. Environ. Manag. 2007, 40, 134-146
5. Olofsson, P.; Stehman, S.V.; Woodcock, C.E.; Sulla-Menashe, D.; Sibley, A.M.; Newell, J.D.; Friedl, M.A.; Herold, M. A global land-cover validation data set, part I: Fundamental design principles. Int. J. Remote Sens. 2012, 33, 5768-5788
6. Tsendbazar, N.E.; de Bruin, S.; Herold, M. Assessing global land cover reference datasets for different user communities. ISPRS J. Photogramm. Remote Sens. 2015, 103, 93-114
7. Oakley, K.L.; Thomas, L.P.; Fancy, S.G. Guidelines for long-term monitoring protocols. Wildl. Soc. Bull. 2003, 31, 1000-1003
8. Fancy, S.G.; Gross, J.E.; Carter, S.L. Monitoring the condition of natural resources in US National Parks. Environ. Monit. Assess. 2009, 151, 161-174
9. Schreuder, H.T.; Czaplewski, R.L. Long-term strategy for the statistical design of a forest health monitoring system. Environ. Monit. Assess. 1992, 27, 81-94
10. Nusser, S.M.; Breidt, F.J.; Fuller, W.A. Design and estimation for investigating the dynamics of natural resources. Ecol. Appl. 1998, 8, 234-245
11. Stehman, S.V.; Sohl, T.L.; Loveland, T.R. Statistical sampling to characterize recent United States land-cover change. Remote Sens. Environ. 2003, 86, 517-529
12. Overton, W.S. Probability sampling and population inference in monitoring programs. In Environmental Modeling with GIS; Goodchild, M.F., Parks, B.O., Stayert, L.T., Eds.; Oxford University Press: New York, NY, USA, 1993; pp. 470-480
13. White, D.; Kimerling, A.J.; Overton, W.S. Cartographic and geometric components of a global sampling design for environmental monitoring. Cartogr. Geogr. Inf. Syst. 1992, 19, 5-22
14. Stevens, D.L., Jr.; Olsen, A.R. Spatially balanced sampling of natural resources. J. Am. Stat. Assoc. 2004, 99, 262-278
15. Olsen, A.R. Software for R: Psurvey Analysis (3.3). 2016. Available online: https://cran.r-project.org/web/packages/spsurvey/index.html (accessed on 28 September 2016)
16. Robertson, B.L.; Brown, J.A.; McDonald, T.; Jaksons, P. BAS: Balanced acceptance sampling of natural resources. Biometrics 2013, 69, 776-784
17. Lister, T.W.; Lister, A.J.; Alexander, E. Land use change monitoring in Maryland using a probabilistic sample and rapid photointerpretation. Appl. Geogr. 2014, 51, 1-7
18. Rindfuss, R.R.;Walsh, S.J.; Turner, B.L., II; Fox, J.; Mishra, V. Developing a science of land change: Challenges and methodological issues. Proc. Natl. Acad. Sci. USA 2004, 101, 13976-13981
19. Overton,W.S.; White, D.; Stevens, D.L., Jr. Environmental Monitoring and Assessment Program: Design Report; EPA/600/3-91/053; US Environmental Protection Agency: Washington, DC, USA, 1990; p. 52
20. Wickman, F.E.; Elvers, E.; Edvarson, K. A system of domains for global sampling problems. Geogr. Ann. Ser. A 1974, 56, 201-212
21. Dutton, G. Planetary modelling via hierarchical tessellation. In Proceedings of the Eleventh International Conference on Computer-Assisted Cartography (Auto-Carto 9); Anderson, E., Ed.; American Congress on Surveying and Mapping: Baltimore, MD, USA, 1989; pp. 462-471
22. Goodchild, M.F.; Shiren, Y. A hierarchical spatial data structure for global geographic information systems. Comput. Vis. Graph. Image Process. 1992, 54, 31-44
23. Sahr, K.; White, D.; Kimerling, A.J. Geodesic discrete global grid systems. Cartogr. Geogr. Inf. Sci. 2003, 30, 121-134
24. Mayaux, P.; Eva, H.; Gallego, J.; Strahler, A.H.; Herold, M.; Agrawal, S.; Naumov, S.; De Mirando, E.E.; Di Bella, C.M.; Ordoyne, C.; et al. Validation of the Global Land Cover 2000 map. IEEE Trans. Geosci. Remote Sens. 2006, 44, 1728-1739
25. Stevens, D.L., Jr. Variable density grid-based sampling designs for continuous spatial populations. Environmetrics 1997, 8, 167-195
26. Holmes, C. Problems in location sampling. Ann. Assoc. Am. Geogr. 1967, 57, 757-780
27. Stohlgren, T.J.; Chong, G.W.; Kalkhan, M.A.; Schell, L.D. Multiscale sampling of plant diversity: Effects of minimum mapping unit size. Ecol. Appl. 1997, 7, 1064-1074
28. US Environmental Protection Agency. Wadeable Streams Assessment; EPA 841-B-06-002; Office of Research and Development: Washington, DC, USA, 2006
29. King, A.J. The master sample of agriculture. J. Am. Stat. Assoc. 1945, 40, 38-45
30. Larsen, D.P.; Olsen, A.R.; Stevens, D.L., Jr. Using a master sample to integrate stream monitoring programs. J. Agric. Biol. Environ. Stat. 2008, 13, 243-254
31. National Research Council (NRC). Review of EPA's Environmental Monitoring and Assessment Program: Overall Evaluation; National Academies Press: Washington, DC, USA, 1995
32. Schmeller, D.S.; Julliard, R.; Bellingham, P.J.; Böhm, M.; Brummitt, N.; Chiarucci, A.; Couvet, D.; Elmendorf, S.; Forsyth, D.M.; Moreno, J.G.; et al. Towards a global terrestrial species monitoring program. J. Nat. Conserv. 2015
33. Becker, M.L.; Congalton, R.G.; Budd, R.; Fried, A. A GLOBE collaboration to develop land cover data collection and analysis protocols. J. Sci. Educ. Technol. 1998, 7, 85-96
34. Goodchild, M.F. Citizens as sensors: The world of volunteered geography. GeoJournal 2007, 69, 211-221
35. Lesiv, M.; Moltchanova, E.; Schepaschenko, D.; See, L.; Shvidenko, A.; Comber, A.; Fritz, S. Comparison of data fusion methods using crowdsourced data in creating a hybrid forest cover map. Remote Sens. 2016, 8, 261
36. Fritz, S.; McCallum, I.; Schill, C.; Perger, C.; Grillmayer, R.; Achard, F.; Kraxner, F.; Obersteiner, M. Geo-Wiki.org: The use of crowdsourcing to improve global land cover. Remote Sens. 2009, 1, 345-354
37. Dodge, M.; McDerby, M.; Turner, M. (Eds.) Geographic Visualization: Concepts, Tools and Applications; Wiley-Blackwell: Hoboken, NJ, USA, 2008; p. 348
38. The Degree Confluence Project. Available online: www.confluence.org (accessed on 27 September 2016)
39. Tipton, H.C.; Dreitz, V.J.; Doherty, P.F. Occupancy of mountain plover and burrowing owl in Colorado. J. Wildl. Manag. 2008, 72, 1001-1006
40. Pettebone, D.; Newman, P.; Theobald, D.M. A comparison of sampling designs for monitoring recreational trail impacts in Rocky Mountain National park. Environ. Manag. 2009, 43, 523-532
41. Galway, L.P.; Bell, N.; Al Shatari, S.A.E.; Hagopian, A.; Burnham, G.; Flaxman, A.;Weiss,W.M.; Rajaratnam, J.; Takaro, T.K. A two-stage cluster sampling method using gridded population data, a GIS, and Google Earth imagery in a population-based mortality survey in Iraq. Int. J. Health Geogr. 2012, 11
42. Marshall, K.N.; Cooper, D.J.; Hobbs, N.T. Interactions among herbivory, climate, topography and plant age shape riparian willow dynamic sin northern Yellowstone National Park, USA. J. Ecol. 2014
43. Meunier, J.; Brown, P.M.; Romme,W.H. Tree recruitment in relation to climate and fire in northern Mexico. Ecology 2014, 95, 197-209
44. ArcGIS Software; version 10.0; Esri: Redlands, CA, USA, 2015
45. De Smith, M.J.; Goodchild, M.F.; Longley, P.A. Geospatial Analysis: A Comprehensive Guide to Principles, Techniques and Software Tools, 2nd ed.; Troubador: Leicester, UK, 2008
46. Hall, R.K.; Olsen, A.; Stevens, D.L., Jr.; Rosenbaum, B.; Husby, P.; Wolinsky, G.A.; Heggem, D.T. EMAP design and river reach file 3 (RF3) as a sample frame in the Central Valley, California. Environ. Monit. Assess. 2000, 64, 69-80
47. QGIS. Available online: www.qgis.org (accessed on 27 September 2016)
48. Theobald, D.M. A general model to quantify ecological integrity for landscape assessments and US application. Landsc. Ecol. 2013
49. Elvidge, C.D.; Baugh, K.E.; Dietz, J.B.; Bland, T.; Sutton, P.C.; Kroehl, H.W. Radiance calibration of DMSP-OLS low-light imaging data of human settlements. Remote Sens. Environ. 1999, 68, 77-88
50. Global Land Use Emergent Database Group. Available online: https://groups.google.com/forum/?fromgroups#!forum/global-land-use-emergent-database (accessed on 27 September 2016)
51. Theobald, D.M. Data from: A General-Purpose Spatial Survey Design for Collaborative Science and Monitoring of Global Environmental Change: The Global Grid. Dryad Digital Repository. Available online: datadryad.com (accessed on 27 September 2016)