Remote Sensing and the Social Sciences

The SAGE Handbook of Remote Sensing

Volumn , Issue , 2008, Pages 437-445

  Crews, Kelley A ^a   Walsh, Stephen J ^b  

^a UNIVERSITY OF TEXAS   (United States)

^b UNIVERSITY OF NORTH CAROLINA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 70350467928     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4135/9780857021052.n31     Document Type: Chapter

References (53)

1. Anselin, L. Under the hood: issues in the specification and interpretation of spatial regression models. Agricultural Economics 27 (3) 247-267. 2002. doi:10.1111/j.1574-0862.2002.tb00120.x http://dx.doi.org/10.1111/j.1574-0862.2002.tb00120.x
2. Archer, E. R. M. Beyond the 'climate versus grazing' impasse: Using remote sensing to investigate the effects of grazing system choice on vegetation cover in the eastern Karoo. Journal of Arid Environments 57 (3) 381-408. 2004. doi:10.1016/S0140-1963(03)00107-1 http://dx.doi.org/10.1016/S0140-1963%2803%2900107-1
3. Barbieri, A. F. R. E.Bilsborrow W. K.Pan. Farm household lifecycles and land use in the Ecuadorian Amazon. Population and Environment 27 (1) 1-27. 2005. doi:10.1007/s11111-005-0013-y http://dx.doi.org/10.1007/s11111-005-0013-y
4. Brown, D. G., E. A.Addink, J.Duh, and M. A.Bowersox, 2004. Assessing uncertainty in spatial landscape metrics derived from remote sensing data. In R. S.Lunetta and J. G.Lyon (eds), Remote Sensing and GIS Accuracy Assessment.CRC Press, Boca Raton. Chapter 16: 221-232. doi:10.1201/9780203497586.ch16 http://dx.doi.org/10.1201/9780203497586.ch16
5. Burn Silver, S., R.Boone, and K.Galvin, 2003. Linking pastoralists to a heterogeneous landscape: The case of four Maasai group ranches in Kajiado district, Kenya. In J.Fox, R. R.Rindfuss, S. J.Walsh and V.Mishra (eds), People and the Environment: Approaches for Linking Household and Community Surveys to Remote Sensing and GIS.Kluwer, Boston. Chapter 6: 173-199.
6. Campbell, D. J. D. P.Lusch T. A.Smucker E. E.Wangui. Multiple methods in the study of driving forces of land use and land cover change: A case study of SE Kajiado District, Kenya. Human Ecology 33 (6) 763-794. 2005. doi:10.1007/s10745-005-8210-y http://dx.doi.org/10.1007/s10745-005-8210-y
7. Castella, J. C. T. N.Trung S.Boissau. Participatory simulation of land-use changes in the northern mountains of Vietnam: the combined use of an agent-based model, a role-playing game, and a geographic information system. Ecology and Society 10 (1), article 27 2005.
8. Chowdhury, R. R. B. L.Turner. Reconciling agency and structure in empirical analysis: Smallholder land use in the southern Yucatan, Mexico. Annals of the Association of American Geographers 96 (2) 302-322. 2006. doi:10.1111/j.1467-8306.2006.00479.x http://dx.doi.org/10.1111/j.1467-8306.2006.00479.x
9. Crews-Meyer, K. A. Temporal extensions of landscape ecology theory and practice: Examples from the Peruvian Amazon. Professional Geographer 58 (4) 421-435. 2006. doi:10.1111/j.1467-9272.2006.00579.x http://dx.doi.org/10.1111/j.1467-9272.2006.00579.x
10. Deadman, P. D.Robinson E.Moran E.Brondizio. Colonist household decisionmaking and land-use change in the Amazon Rainforest: An agent-based simulation. Environment and Planning B-Planning and Design 31 (5) 693-709. 2004. doi:10.1068/b3098 http://dx.doi.org/10.1068/b3098
11. Evans, T. P. A.Manire F.De Castro E.Brondizio S.McCracken. A dynamic model of household decision-making and parcel level landcover change in the eastern Amazon. Ecological Modelling 143 (1-2) 95-113. 2001. doi:10.1016/S0304-3800(01)00357-X http://dx.doi.org/10.1016/S0304-3800%2801%2900357-X
12. Fairhead, J. and M.Leach, 1996. Misreading the African Landscape: Society and Ecology in a Forest-Savanna Mosaic.Cambridge University Press, Cambridge, New York. doi:10.1017/CBO9781139164023 http://dx.doi.org/10.1017/CBO9781139164023
13. Fotheringham, A. S., C.Brunsdon, and M.Charlton, 2002. Geographically Weighted Regression.Wiley: West Sussex, England, UK.
14. Fox, J., R. R.Rindfuss, S. J.Walsh, and V.Mishra, 2003. People and the Environment: Approaches for Linking Household and Community Surveys to Remote Sensing and GIS.Kluwer, Boston.
15. Gautam, A. P. G. P.Shivakoti E. L.Webb. Forest cover change, physiography, local economy, and institutions in a mountain watershed in Nepal. Environmental Management 33 (1) 48-61. 2004. doi:10.1007/s00267-003-0031-4 http://dx.doi.org/10.1007/s00267-003-0031-4
16. Geoghegan, J., L.Pritchard, Y.Ogneva-Himmelberger, R. R.Chowdhury, S.Sanderson, and B. L.Turner, II, 1998. 'Socializing the Pixel' and 'Pixelizing the Social' in land-use and land-cover change. In D.Liverman, E.Moran, R. R.Rindfuss and P. C.Stern (eds), People and Pixels: Linking Remote Sensing and Social Science.National Academy Press, Washington, D.C. Chapter 3: 51-69.
17. Geoghegan, J., L.Schneider, and C.Vance, 2004. Spatially explicit, statistical land-change models in data sparse conditions. In B. L.Turner, J.Geoghegan, and D. R.Foster (eds), Integrated Land-Change Science and Tropical Deforestation in the Southern Yucatan: Final Frontiers.Oxford University Press, New York. Chapter 12: 247-270.
18. Gutman, G., A. C.Janetos, C. O.Justice, E. F.Moran, J. F.Mustard, R. R.Rindfuss, D.Skole, B. L.Turner, II, and M. A.Cochrane, 2004. Land Change Science: Observing, Monitoring and Understanding Trajectories of Change on the Earth's Surface.Kluwer Academic Publishers, Dordrecht, The Netherlands. doi:10.1007/978-1-4020-2562-4 http://dx.doi.org/10.1007/978-1-4020-2562-4
19. Herrmann, S. M. A.Anyamba C. J.Tucker. Recent trends in vegetation dynamics in the African Sahel and their relationship to climate. Global Environmental Change-Part A 15 (4) 394-404. 2005. doi:10.1016/j.gloenvcha.2005.08.004 http://dx.doi.org/10.1016/j.gloenvcha.2005.08.004
20. Jensen, J. R., 2000. Remote Sensing of the Environment.Prentice Hall, Upper Saddle River, New Jersey.
21. Klepeis, P. B. L.Turner. Integrated land history and global change science: The example of the Southern Yucatan Peninsular Region project. Land Use Policy 18 (1) 27-39. 2001. doi:10.1016/S0264-8377(00)00043-0 http://dx.doi.org/10.1016/S0264-8377%2800%2900043-0
22. Liverman, D., E.Moran, R. R.Rindfuss, and P. C.Stern, 1998. People and Pixels: Linking Remote Sensing and Social Science.National Academy Press, Washington, D.C.
23. McNoleg, O. An account of the origins of conceptual models of geographic space. Computers, Environment and Urban Systems 27 (1) 1-3. 2003. doi:10.1016/S0198-9715(01)00048-5 http://dx.doi.org/10.1016/S0198-9715%2801%2900048-5
24. Messina, J. P., and K. A.Crews-Meyer, 2000. A historical perspective on the development of remotely sensed data as applied to medical geography. In D.Albert, W.Gesler, and B.Levergood (eds), Spatial Analysis, GIS, and Remote Sensing Uses in the Health Sciences.Ann Arbor Press, Chelsea, Michigan.147-168.
25. Moran, E. F. E.Brondizio P.Mausel Y.Wu. Integrating Amazonian vegetation, land-use, and satellite data. Bioscience 44 (5) 329-338. 1994. doi:10.2307/1312383 http://dx.doi.org/10.2307/1312383
26. Nagendra, H. J.Southworth C.Tucker. Accessibility as a determinant of landscape transformation in western Honduras: linking pattern and process. Landscape Ecology 18 (2) 141-158. 2003. doi:10.1023/A:1024430026953 http://dx.doi.org/10.1023/A:1024430026953
27. Nagendra, H. D. K.Munroe J.Southworth. From pattern to process: Landscape fragmentation and the analysis of land use/land cover change. Agriculture Ecosystems and Environment 101 (2-3) 111-115. 2004. doi:10.1016/j.agee.2003.09.003 http://dx.doi.org/10.1016/j.agee.2003.09.003
28. Nyerges, A. E. G. M.Green. The ethnography of landscape: GIS and remote sensing in the study of forest change in west African Guinea savanna. American Anthropologist 102 (2) 271-289. 2000. doi:10.1525/aa.2000.102.2.271 http://dx.doi.org/10.1525/aa.2000.102.2.271
29. Overmars, K. P. P. H.Verburg. Multilevel modelling of land use from field to village level in the Philippines. Agricultural Systems 89 (2-3) 435-456. 2006. doi:10.1016/j.agsy.2005.10.006 http://dx.doi.org/10.1016/j.agsy.2005.10.006
30. Pan, W. K. Y. R. E.Bilsborrow. The use of a multilevel statistical model to analyze factors influencing land use: a study of the Ecuadorian Amazon. Global and Planetary Change 47 (2-4) 232-252. 2005. doi:10.1016/j.gloplacha.2004.10.014 http://dx.doi.org/10.1016/j.gloplacha.2004.10.014
31. Pan, W. K. Y. S. J.Walsh R. E.Bilsborrow B. G.Frizzelle C. M.Erlien F. D.Baquero. Farm level models of spatial patterns of land use and land cover dynamics in the Ecuadorian Amazon. Agriculture, Ecosystems and Environment 101 117-134. 2004. doi:10.1016/j.agee.2003.09.022 http://dx.doi.org/10.1016/j.agee.2003.09.022
32. Parker, D. C. S. M.Manson M. A.Janssen M. J.Hoffman P.Deadman. Multi-agent systems for the simulation of land use and land cover change: A review. Annals of the Association of American Geographers 93 314-347. 2003. doi:10.1111/1467-8306.9302004 http://dx.doi.org/10.1111/1467-8306.9302004
33. Perz, S. G. D. L.Skole. Social determinants of secondary forests in the Brazilian Amazon. Social Science Research 32 (1) 25-60. 2003. doi:10.1016/S0049-089X(02)00012-1 http://dx.doi.org/10.1016/S0049-089X%2802%2900012-1
34. Pontius, R. G. L. C.Schneider. Land-cover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA. Agriculture Ecosystems and Environment 85 (1-3) 239-248. 2001. doi:10.1016/S0167-8809(01)00187-6 http://dx.doi.org/10.1016/S0167-8809%2801%2900187-6
35. Pontius, R. G. A. J.Versluis N. R.Malizia. Visualizing certainty of extrapolations from models of land change. Landscape Ecology 21 (7) 1151-1166. 2006. doi:10.1007/s10980-006-7285-1 http://dx.doi.org/10.1007/s10980-006-7285-1
36. Reid, R. S. R. L.Kruska N.Muthui A.Taye S.Wotton C. J.Wilson W.Mulatu. Land-use and land-cover dynamics in response to changes in climatic, biological and socio-political forces: the case of southwestern Ethiopia. Landscape Ecology 15 (4) 339-355. 2000. doi:10.1023/A:1008177712995 http://dx.doi.org/10.1023/A:1008177712995
37. Rindfuss, R. R., S. J.Walsh, V.Mishra, J.Fox, and G.Dolcemascolo, 2003. Linking household and remotely sensed data: Methodological and practical problems. In: J.Fox, R. R.Rindfuss, S. J.Walsh and V.Mishra (eds), People and the Environment: Approaches for Linking Household and Community Surveys to Remote Sensing and GIS.Kluwer, Boston. Chapter 1: 1-30.
38. Rindfuss, R. R. S. J.Walsh B. L.Turner J.Fox V.Mishra. Developing a science of land change: Challenges and methodological issues. Proceedings of the National Academy of Sciences of the United States of America 101 (39) 13976-13981. 2004. doi:10.1073/pnas.0401545101 http://dx.doi.org/10.1073/pnas.0401545101
39. Schelhas, J. G. A.Sanchez-Azofeifa. Post-frontier forest change adjacent to Braulio Carrillo National Park, Costa Rica. Human Ecology 34 (3) 407-431. 2006. doi:10.1007/s10745-006-9024-2 http://dx.doi.org/10.1007/s10745-006-9024-2
40. Seto, K. C. M.Fragkias. Quantifying spatiotemporal patterns of urban land-use change in four cities of China with time series landscape metrics. Landscape Ecology 20 (7) 871-888. 2005. doi:10.1007/s10980-005-5238-8 http://dx.doi.org/10.1007/s10980-005-5238-8
41. Turner, M. G., R. H.Gardner, and R. V.O' Neill, 2001. Landscape Ecology in Theory and Practice: Pattern and Process.Springer Press, New York.
42. Van Wey, L. K. R. R.Rindfuss M. P.Gutmann B.Entwisle D. L.Balk. Confidentiality and spatially explicit data: Concerns and challenges. Proceedings of the National Academy of Sciences of the United States of America 102 (43) 15337-15342doi:10.1073, pnas. 0507804102 2005.doi:10.1073/pnas.0507804102 http://dx.doi.org/10.1073/pnas.0507804102
43. Verburg, P. H. K. P.Overmars N.Witte. Accessibility and land-use patterns at the forest fringe in the northeastern part of the Philippines. Geographical Journal 170 238-255. 2004. doi:10.1111/j.0016-7398.2004.00123.x http://dx.doi.org/10.1111/j.0016-7398.2004.00123.x
44. Walker, R. Mapping process to pattern in the landscape change of the Amazonian frontier. Annals of the Association of American Geographers 93 (2) 376-398. 2003. doi:10.1111/1467-8306.9302008 http://dx.doi.org/10.1111/1467-8306.9302008
45. Walker, R. T. A. K. O.Homma. Land use/land cover dynamics in the Brazilian Amazon: An overview. Ecological Economics 18 67-80. 1996. doi:10.1016/0921-8009(96)00033-X http://dx.doi.org/10.1016/0921-8009%2896%2900033-X
46. Walker, R. W.Solecki. Theorizing land-cover and land-use change: The case of the Florida Everglades and its degradation. Annals of the Association of American Geographers 94 (2) 311-328. 2004. doi:10.1111/j.1467-8306.2004.09402010.x http://dx.doi.org/10.1111/j.1467-8306.2004.09402010.x
47. Walsh, S. J. and K. A.Crews-Meyer, 2002. Linking People, Place, and Policy: A GIScience Approach.Kluwer Academic Publishers, Boston. doi:10.1007/978-1-4615-0985-1 http://dx.doi.org/10.1007/978-1-4615-0985-1
48. Walsh, S. J. T. P.Evans W. F.Welsh B.Entwisle R. R.Rindfuss. Scale-dependent relationships between population and environment in northeastern Thailand. Photogrammetric Engineering and Remote Sensing 65 (1) 97-105. 1999.
49. Walsh, S. J., K. A.Crews-Meyer, T. W.Crawford, W. F.Welsh, B.Entwisle, and R. R.Rindfuss, 2001. Separating intra- and inter-annual signals in monsoon-driven Northeast Thailand. In: A. C.Millington, S. J.Walsh, and P. E.Osborne (eds), Remote Sensing and GIS Applications in Biogeography and Ecology.Kluwer Academic Publishers, Boston.91-108. doi:10.1007/978-1-4615-1523-4_6 http://dx.doi.org/10.1007/978-1-4615-1523-4_6
50. Walsh, S. J. B.Entwisle R. R.Rindfuss P. H.Page. Spatial simulation modeling of land use/land cover change scenarios in northeastern Thailand: A cellular automata approach. Journal of Land Use Science 1 5-28. 2006. doi:10.1080/17474230600604213 http://dx.doi.org/10.1080/17474230600604213
51. Wilson, E. H. J. D.Hurd D. L.Civco M. P.Prisloe C.Arnold. Development of a geospatial model to quantify, describe and map urban growth. Remote Sensing of Environment 86 (3) 275-285. 2003. doi:10.1016/S0034-4257(03)00074-9 http://dx.doi.org/10.1016/S0034-4257%2803%2900074-9
52. Wu, C. S. A. T.Murray. Population estimation using Landsat Enhanced Thematic Mapper imagery. Geographical Analysis 39 (1) 26-43. 2007. doi:10.1111/j.1538-4632.2006.00694.x http://dx.doi.org/10.1111/j.1538-4632.2006.00694.x
53. Yeh, A. G. O. X.Li. A constrained CA model for the simulation and planning of sustainable urban forms by using GIS. Environment and Planning B-Planning and Design 28 (5) 733-753. 2001. doi:10.1068/b2740 http://dx.doi.org/10.1068/b2740