Remote sensing technology for mapping and monitoring land-cover and land-use change

Progress in Planning

Volumn 61, Issue 4, 2004, Pages 301-325

  Rogan, John ^a   Chen, DongMei ^b  

^a CLARK UNIVERSITY   (United States)

^b QUEEN S UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

LAND COVER; LAND USE CHANGE; MAPPING; MONITORING; REMOTE SENSING;

EID: 1942452360     PISSN: 03059006     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0305-9006(03)00066-7     Document Type: Review

References (81)

1. Abuelgasim A.A. Ross W. Gopal S. Woodcock C.E. Change detection using adaptive fuzzy neural networks: environmental damage assessment after the Gulf War Remote Sensing of Environment 70 1999 208-223
2. Anderson, J.R., Hardy, E.E., Roach, J.T., Witmer, R.E., 1976. A land-use and land-cover classification system for use with remote sensor data. US geological Survey Professional Paper 964, Washington, DC.
3. Carlotto M.J. Reducing the effects of space-varying, wavelength-dependent scattering in multispectral imagery International Journal of Remote Sensing 20 1999 3333-3344
4. Chan J.C.-W. Chan K.-P. Yeh A.G.-O. Detecting the nature of change in an urban environment-a comparison of machine learning algorithms Photogrammetric Engineering and Remote Sensing 67 2001 213-225
5. Chavez P.S. Image-based atmospheric corrections revisited and improved Photogrammetric Engineering and Remote Sensing 62 1996 1025-1036
6. Chen D. Stow D.A. Tucker L. Daeschner S. Detecting and enumerating new building structures utilizing very-high resolution image data and image processing Geocarto International 16 2001 69-82
7. Chen D. Stow D. Getis A. Multi-resolution classification framework for improving land use/cover mapping Walsh S.J. Crews-Meyer K.A. Linking People, Place, and Policy: a GIScience Approach 2002 360 Kluwer Academic Dordrecht
8. Chen D. Stow D. The effect of training strategies on supervised classification at different spatial resolutions Photogrammetric Engineering and Remote Sensing 68 2002 1155-1161
9. Cihlar J. Land-cover mapping of large areas from satellites: status and research priorities International Journal of Remote Sensing 21 2000 1093-1114
10. Clarke K.C. Gaydos L. Loose coupling a cellular automaton model and GIS: long-term growth prediction for San Francisco and Washington/Baltimore International Journal of Geographical Information Science 12 1998 699-714
11. Collins J.B. Woodcock C.E. An assessment of several linear change detection techniques for mapping forest mortality using multitemporal Landsat TM data Remote Sensing Environment 56 1996 66-77
12. Cohen W.B. Fiorella M. Comparison of methods for detecting conifer forest change with Thematic Mapper imagery Lunetta R.S. Elvidge C.D. Remote Sensing Change Detection: Environmental Monitoring Methods and Applications 318 1998 318 Ann Arbor Press Chelsea, MI
13. Coppin P.R. Bauer M.E. Digital change detection in forest ecosystems with remote sensing imagery Remote Sensing Reviews 13 1996 207-234
14. Coulter L. Stow D.A. O'Leary J. Hope A. Longmire P. Peterson S. Comparison of high-spatial resolution imagery for efficient generation of GIS vegetation layers Photogrammetric Engineering and Remote Sensing 66 2000 1329-1335
15. Curran P.J. Principles of Remote Sensing 1985 Longman New York 282 pp
16. DeFries R.S. Chan J. Multiple criteria for evaluating machine learning algorithms for land-cover classification from satellite data Remote Sensing of Environment 74 2000 503-515
17. Fang H. Rice crop area estimation of an administrative division in China using remote sensing data International Journal of Remote Sensing 19 1998 3411-3419
18. Foody G.M. The continuum of classification fuzziness in thematic mapping Photogrammetric Engineering and Remote Sensing 65 1999 443-451
19. Franklin J. Woodcock C.E. Warbington R. Digital vegetation maps of forest lands in California: integrating satellite imagery, GIS modeling, and field data in support of resource management Photogrammetric Engineering and Remote Sensing 66 2000 1209-1217
20. Franklin J. Phinn S.R. Woodcock C.E. Rogan J. Rationale and conceptual framework for classification approaches to assess forest resources and properties Wulder M. Franklin S.E. Methods and Applications for Remote Sensing of Forests: Concepts and Case Studies 2003 Kluwer Academic Publishers Dordrecht pp. 279-300
21. Franklin S.E. Remote Sensing for Sustainable Forest Management 2001 Lewis Publishers Boca Raton, FL 407 pp
22. Fritz L.W. The era of commercial earth observation satellites Photogrammetric Engineering and Remote Sensing 62 1996 39-45
23. Gamba P. Houshmand B. An efficient neural classification chain for optical and SAR urban images International Journal of Remote Sensing 22 2001 1535-1553
24. Gao J. Integration of GPS with remote sensing and GIS: reality and prospect Photogrammetric Engineering and Remote Sensing 68 2002 447-453
25. Glackin D.L. International space-based remote sensing overview: 1980-2007 Canadian Journal of Remote Sensing 24 1998 307-314
26. Gong P. Le Drew E.F. Miller J.R. Registration-noise reduction in difference images for change detection International Journal of Remote Sensing 13 1992 773-779
27. Gopal S. Woodcock C.E. Remote sensing of forest change using artificial neural networks IEEE Transactions on Geoscience and Remote Sensing 34 1996 398-404
28. Grover K. Quegan S. Freitas C.D. Quantitative estimation of tropical forest cover by SAR IEEE Transactions on Geoscience and Remote Sensing 37 1999 479-490
29. Herold M. Gardner M. Hadley B. Roberts D. The Spectral Dimension in Urban Land Cover Mapping from High-Resolution Optical Remote Sensing Data Proceedings of the 3rd Symposium on Remote Sensing of Urban Areas, Istanbul, Turkey, 11-13 June 2002
30. Huang X. Jensen J.R. A machine-learning approach to automated knowledge-base building for remote sensing image analysis with GIS data Photogrammetric Engineering and Remote Sensing 63 1997 1185-1194
31. Jakubauskas M.E. Peterson D.L. Kastens J.H. Legates D.R. Time series remote sensing of landscape-vegetation interactions in the Southern Great Plains Photogrammetric Engineering and Remote Sensing 68 2002 1021-1030
32. Jensen J.R. Rutchey K. Koch M.S. Narumalani S. Inland wetland change detection in the Everglades Water Conservation Area 2A using a time series of normalized remotely sensed data Photogrammetric Engineering and Remote Sensing 61 1995 199-209
33. Jensen J.R. Introductory Digital Image Processing: a Remote Sensing Perspective Second ed 1996 Prentice Hall Saddle River, NJ 316 pp
34. Jensen J.R. Remote Sensing of the Environment: an Earth Resource Perspective 2000 Prentice Hall Saddle River, NJ 544 pp
35. Jensen J.R. Cowen D.J. Remote sensing of urban/suburban infrastructure and socio-economic attributes Photogrammetric Engineering and Remote Sensing 65 1999 611-622
36. Justice C.O. Markham B.L. Townshend J.R.G. Kennard R.L. Spatial degradation of satellite data International Journal of Remote Sensing 10 1989 1539-1561
37. Kardoulas N.G. Bird A.C. Lawan A.I. Geometric correction of SPOT and Landsat imagery: a comparison of map- and GPS-derived control points Photogrammetric Engineering and Remote Sensing 62 1996 1173-1177
38. Kasischke E.S. Melack J.M. Dobson M.C. The use of imaging radars for ecological applications Remote Sensing of Environment 59 1997 141-156
39. Lambin E.F. Strahler A.H. Change vector analysis in multi-temporal space: a tool to detect and categorize land cover change processes using high temporal resolution satellite data Remote Sensing of Environment 48 1994 231-244
40. Levien L.M. Fischer C.S. Roffers P.D. Maurizi B.A. Suero J. Fischer C. Huang X. A Machine-Learning Approach to Change Detection Using Multi-Scale Imagery Proceedings of ASPRS Annual Conference 1:22, Portland, Oregon 1999
41. Loveland T.R. Sohl T.L. Stehman S.V. Gallant A.L. Sayler K.L. Napton D.E. A strategy for estimating the rates of recent United States land-cover changes Photogrammetric Engineering and Remote Sensing 68 2002 1091-1099
42. Lunetta R.S. Project formulation and analysis approaches Lunetta R.S. Elvidge C.D. Remote sensing change detection: environmental monitoring methods and applications 1998 318 Ann Arbor Press Chelsea, MI
43. Lunetta R.S. Elvidge C.D. Remote Sensing Change Detection: Environmental Monitoring Methods and Applications 1998 Ann Arbor Press Chelsea, MI 318 pp
44. Lunetta R.S. Ediriwickrema J. Johnson D. Lyon J.G. McKerrow A. Impacts of vegetation dynamics on the identification of land-cover change in a biologically complex community in North Carolina, USA Remote Sensing of Environment 82 2002 258-270
45. Macleod R.D. Congalton R.G. A quantitative comparison of change detection algorithms for monitoring eelgrass from remotely sensed data Photogrammetric Engineering and Remote Sensing 64 1998 207-216
46. Malila W.A. Change Vector Analysis: an Approach for Detecting Forest Changes with Landsat Proceedings of the 6th Annual Symposium on Machine Processing of Remotely Sensed Data, Purdue University, IN 1980 pp. 326-335
47. Mas J.F. Monitoring land-cover changes: a comparison of change detection techniques International Journal of Remote Sensing 20 1999 139-152
48. McNairn H. Ellis J. Van Der Sanden J.J. Hirose T. Brown R.J. Providing crop information using RADARSAT-1 and satellite optical imagery International Journal of Remote Sensing 23 2002 851-870
49. Moulin S. Bondeau A. Delecolle R. Combining agricultural crop models and satellite observations: from field to regional scales International Journal of Remote Sensing 19 1998 1021-1036
50. Muchoney D.M. Haack B. Change detection for monitoring forest defoliation Photogrammetric Engineering and Remote Sensing 60 1994 1243-1251
51. Nezry E. Mougin E. Lopes A. Gastellu-Etchegorry J.P. Tropical vegetation mapping with combined visible and SAR spaceborne data International Journal of Remote Sensing 1993 2165-2184
52. Patterson M.W. Yool S.R. Mapping fire-induced vegetation mortality using Landsat Thematic Mapper data: a comparison of linear transformation techniques Remote Sensing of Environment 65 1998 132-142
53. Pellemans A.H.J.M. Jordans R.W.L. Allewijn R. Merging multispectral and panchromatic SPOT images with respect to radiometric properties of the sensor Photogrammetric Engineering and Remote Sensing 59 1993 81-87
54. Phinn S.R. A framework for selecting appropriate remotely sensed data dimensions for environmental monitoring and management International Journal of Remote Sensing 19 1998 3457-3463
55. Phinn S. Stanford M. Monitoring land-cover and land-use change in a rapidly urbanizing coastal environment, the Maroochy and Mooloolah Rivers catchment, 1988-1977 Australian Geographical Studies 39 2001 217-232
56. Phinn S. Stanford M. Scarth P. Murray A.T. Shyy P.T. Monitoring the composition of urban environments based on the vegetation-impervious surface-soil (VIS) model by sub-pixel analysis techniques International Journal of Remote Sensing 23 2002 4131-4153
57. Quegan S. Le Toan T. Yu J.J. Multitemporal ERS SAR analysis applied to forest mapping IEEE Transactions on Geosciences and Remote Sensing 38 2000 741-753
58. Rashed T. Weeks J.R. Gadalla M.S. Hill A.G. Revealing the anatomy of cities through spectral mixture analysis of multispectral satellite imagery: a case study of the greater Cairo region, Egypt Geocarto International 16 2001 5-15
59. Roberts D.A. Batista G.T. Pereira J. Waller E.K. Nelson B.W. Change identification using multitemporal spectral mixture analysis: applications in Eastern Amazonia Lunetta R.S. Elvidge C.D. Remote Sensing Change Detection: Environmental Monitoring Methods and Applications 1998 318 Ann Arbor Press Chelsea, MI
60. Rogan J. Yool S.R. Mapping fire-induced vegetation depletion in the Peloncillo Mountains, Arizona and New Mexico International Journal of Remote Sensing 22 2001 3101-3121
61. Rogan J. Franklin J. Stow D.A. Levien L. Fischer C. Toward Operational Monitoring of Forest Cover Change in California Using Multitemporal Remote Sensing Data Proceedings of the International Geoscience and Remote Sensing Symposium, Sydney, Australia, 9-13 July 2001
62. Rogan J. Franklin J. Roberts D.A. A comparison of methods for monitoring multitemporal vegetation change using Thematic Mapper imagery Remote Sensing of Environment 80 2002 143-156
63. Rogan J. Miller J. Stow D. Franklin J. Levien L. Fischer C. Land cover change mapping in California using classification trees with Landsat TM and ancillary data Photogrammetric Engineering and Remote 2003 Sensing, 69(7), 793-804
64. Rogerson P.A. Change detection thresholds for remotely sensed images Journal of Geographical Systems 4 2002 85-97
65. Schott J. Salvaggio C. Volchok W. Radiometric scene normalization using pseudoinvariant features Remote Sensing of Environment 26 1988 1-16
66. Schowengerdt R.A. Remote Sensing: Models and Methods for Image Processing Second ed 1997 Academic Press San Diego 522 pp
67. Singh A. Digital change detection techniques using remotely sensed data International Journal of Remote Sensing 10 1989 989-1003
68. Song C. Woodcock C.E. Seto K. Lenney M.P. Macomber S. Classification and change detection using Landsat TM data: when and how to correct atmospheric effects Remote Sensing of Environment 75 2001 230-244
69. SPOT Image Inc. 2002. http://www.spot.com/.
70. Stow D.A. Tinney L. Estes J. Deriving Land Use/Land Cover Change Statistics from Landsat: a Study of Prime Agricultural Land Proceedings of the 14th International Symposium on Remote Sensing of the Environment 1980 Ann Arbor Press Chelsea, MI pp. 1227-1237
71. Stow D.A. Reducing mis-registration effects for pixel-level analysis of land-cover change International Journal of Remote Sensing 20 1999 2477-2483
72. Stow D.A. Chen D. Sensitivity of multitemporal NOAA-AVHRR data for detecting land cover changes Remote Sensing of Environment 80 2002 297-307
73. Strahler, A.H, Townshend, J., Muchoney, D., Borak, J., Friedl, M., Gopal, S., Hyman, A., Moody, A., Lambin, E.F., 1996. MODIS Land Cover Product Algorithm Theoretical Basis Document (ATBD), Version 4.1, NASA Report, contract NAS5-31369.
74. Stroppiana D. Pinnock S. Pereira J.M.C. Gregoire J.-M. Radiometric analysis of SPOT-VEGETATION images for burnt area detection in Northern Australia Remote Sensing of Environment 82 2002 21-37
75. Townshend J.R.G. Justice C.O. Gurney C. McManus J. The effect of mis-registration on the detection of vegetation change IEEE Transactions on Geosciences and Remote Sensing 30 1992 1054-1060
76. Treitz P.M. Howarth P.J. Gong P. Application of satellite and GIS technologies for land-cover and land-use mapping at the rural-urban fringe: a case study Photogrammetric Engineering and Remote Sensing 58 1992 439-448
77. Treitz P.M. Howarth P.J. Hyperspectral remote sensing for estimating biophysical parameters of forest ecosystems Progress in Physical Geography 23 1999 359-390
78. Ustin S.L. Smith M.O. Jacquemoud S. Verstraete M. Govaerts Y. Geobotany: Vegetation Mapping for Earth Sciences Renca A.N. Remote Sensing for the Earth Sciences Third Edition Manual of Remote Sensing vol. 3 1999 707 Wiley New York Published in Cooperation with the American Society for Photogrammetry and Remote Sensing
79. Vine P. Puech C. Cartography of post-fire forest regeneration by coupling a spectral mixture model with a vegetation re-growth model Canadian Journal of Remote Sensing 25 1999 152-159
80. Yuan D. Elvidge C.D. NALC land cover change detection pilot study: Washington DC area experiments Remote Sensing of Environment 66 1998 166-178
81. Zhan X. Sohlberg R.A. Townshend J.R.G. DiMiceli C. Carroll M.L. Eastman J.C. Hansen M.C. DeFries R.C. Detection of land cover changes using MODIS 250 m data Remote Sensing of Environment 83 2002 336-350