Digital Change Detection in Forest Ecosystems with Remote Sensing Imagery

Remote Sensing Reviews

Volumn 13, Issue 3-4, 1996, Pages 207-234

  Coppin, Pol R ^a   Bauer, Marvin E ^b  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b UNIVERSITY OF MINNESOTA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ACQUISITION; DIGITAL SIGNAL PROCESSING; ECOSYSTEMS; EXPERT SYSTEMS; FORESTRY; IMAGE PROCESSING; IMAGING SYSTEMS; MONITORING; RADAR IMAGING;

BIOPHYSICAL PHENOMENA; DIGITAL CHANGE DETECTION; DIGITAL IMAGERY ACQUISITION; REMOTE SENSING IMAGERY;

REMOTE SENSING;

BIOPHYSICAL PHENOMENA; DIGITAL IMAGE; FOREST ECOSYSTEM; RADAR IMAGERY; REMOTE SENSING; TEMPERATE FOREST;

USA, (MIDWEST); USA, (NORTH);

EID: 0030472333     PISSN: 02757257     EISSN: None     Source Type: Journal    
DOI: 10.1080/02757259609532305     Document Type: Article

References (101)

1. Ahern, F. J., Brown, R. J., Cihlar, J., Gauthier, R., Murphy, J., Neville, R. A. and Teillet, P. M. (1988) Radiometric correction of visible and infrared remote sensing data at the Canada Center for Remote Sensing. In: Remote Sensing Yearbook 1988/1989 (A. Cracknell and Hayes, eds.). London: Taylor and Francis, 101-127.
2. Aldrich, R. C. (1975) Detecting disturbances in a forest environment. Photogramm. Eng. Remote Sens. 41: 39-48.
3. Allum, J. A. and Dreisinger, B. R. (1986) Remote sensing of vegetation change near Inco's Sudbury mining complexes. Int. J. Remote Sens. 8: 399-416.
4. Alwashe, M. A. and Bokhari, A. Y. (1993) Monitoring vegetation changes in Al Madinah, Saudi Arabia, using Thematic Mapper data. Int. J. Remote Sens. 14: 191-197.
5. Andres, L., Salas, W. A. and Skole, D. (1994) Fourier analysis of multi-temporal AVHRR data applied to a land cover classification. Int. J. Remote Sens. 15: 1115-1121.
6. Banner, A. and Lynham, T. (1981) Multi-temporal analysis of Landsat data for forest cutover mapping -A trial of two procedures. Proc. 7th Can. Symp. on Remote Sensing Winnipeg, Canada, 233-240.
7. Baraldi, A. and Parmiggiani, F. (1989) Classification methods on multispectral SPOT images. Proc. IGARSS'89 Symp., Vancouver, Canada, 1203-12078.
8. Bauer, M. E., Burk, T. E., Ek, A. R., Coppin, P. R., Lime, S. D., Walsh, T. A. and Walters, D. K. (1994) Inventory of Minnesota forest resources with Landsat TM data. Photogramm. Eng. Remote Sens. 60: 287-298.
9. Benediktsson, J. A., Swain, P. H. and Ersoy, O. K. (1990) Neural network approaches versus statistical methods in classification of multisource remote sensing data. IEEE Trans. Geosci. Remote Sens. 28 (4): 540-552.
10. Bolstad, P. V. and Lillesand, T. M. (1992) Improved classification of forest vegetation in northern Wisconsin through a rule-based combination of soils, terrain, and Landsat Thematic Mapper data. Forest Science 38 (1): 5-20.
11. Bischof, H., Schneider, W. and Pinz, A. J. (1992) Multispectral classification of Landsat images using neural networks. IEEE Trans. Geosci. Remote Sens. 30 (3): 482-490.
12. Burns, G. S. and Joyce, A. T. (1981) Evaluation of land cover change detection techniques using Landsat MSS data. Proc. 7th Pecora Symp., Sioux Falls, South Dakota, 252-260.
13. Caselles, V. and Lopez Garcia, M. J. (1989) An alternative simple approach to estimate atmospheric correction in multitemporal studies. Int. J. Remote Sens. 10: 1127-1134.
14. Chavez, P. S. (1989) Radiometric calibration of Landsat Thematic Mapper multispectral images. Photogramm. Eng. Remote Sens. 55: 1285-1294.
15. Cihlar, J., Pultz, T. J. and Gray, A. L. (1992) Change detection with synthetic radar. Int. J. Remote Sens. 13: 401-414.
16. Collins, J. B. and Woodcock, C. E. (1994) Change detection using the Gramm-Schmidt transformation applied to mapping forest mortality. Remote Sens. Environ. 50: 267-279.
17. Collins, J. B. and Woodcock, C. E. (1996) An assessment of several linear change detection techniques for mapping forest mortality using multitemporal Landsat TM data. Remote Sens. Environ., in Press.
18. Colwell, J. E., Davis, G. and Thomson, F. (1980) Detection and measurement of changes in the production and quality of renewable resources. USDA Forest Service Final Report No. 145300-4-F, ERIM, Ann Arbor, MI.
19. Colwell, J. E. and Weber, F. P. (1981) Forest change detection. Proc. 15th Int. Symp. on Remote Sensing of Environment, Ann Arbor, MI, 839-852.
20. Conel, J. E. (1990) Determination of surface reflectance and estimates of atmospheric optical depth and single scattering albedo from Landsat Thematic Mapper data. Int. J. Remote Sens. 11: 783-828.
21. Coppin, P. R. and Bauer, M. E. (1994) Processing of multitemporal Landsat TM imagery to optimize extraction of forest cover change features. IEEE Trans. Geosci. Remote Sens. 32: 918-927.
22. Coppin, P. R. and Bauer, M. E. (1995) The potential contribution of pixel-based canopy change information to stand-based forest management in the northern U.S. J. Environ. Management 44: 69-82.
23. Crist, E. P. and Cicone, R. C. (1984) Application of the tasseled cap concept to simulated Thematic Mapper data. Photogramm. Eng. Remote Sens. 50: 343-352.
24. Duggin, M. J. and Robinove, C. J. (1990) Assumptions implicit in remote sensing data acquisition and analysis. Int. J. Remote Sens. 11: 1669-1694.
25. Edwards, G. (1990) Image segmentation, cartographic information and knowledge-based reasoning: getting the mixture right. Proc. IGARSS'90 Symp., University of Maryland, College Park, MD, 1641-1644.
26. Ekstrand, S. (1989) The possibilities of assessing moderate damages on Norway spruce using Landsat TM data and ancillary stand information in a GIS environment Proc. IGARSS'89 Symp., Vancouver, Canada, 1553-1557.
27. Flamm, R. O. and Turner, M. G. (1994) GIS applications perspective: multidiscplinary modeling and GIS for landscape management. In: Remote Sensing and GIS in Ecosystem Management (V. A. Sample, ed.), Washington, DC: Island Press, 201-212.
28. Fung, T. and LeDrew, E. (1987) Application of principal components analysis to change detection. Photogramm. Eng. Remote Sens. 53: 1649-1658.
29. Fung, T. and LeDrew, E. (1988) The determination of optimal threshold levels for change detection using various accuracy indices. Photogramm. Eng. Remote Sens. 54: 1449-1454.
30. Fung, T. (1990) An assessment of TM imagery for land cover change detection. IEEE Trans. Geosci. Remote Sens. 28: 681-684.
31. Gopal, S. and Woodcock, C. E. (1995) Remote sensing of forest change using artificial neural networks. IEEE Trans. Geosci. Remote Sens., in press.
32. Gregory, M. S., Walsh, S. J. and Vitek, J. D. (1981) Mechanics of monitoring forest clear cuts and their regeneration. Proc. 7th Int. Symp. on Machine Processing of Remotely Sensed Data with Special Emphasis on Range, Forest, and Wetlands Assessment, Purdue University, West Lafayette, IN, 520-527.
33. Hahn, J. T., McRoberts, R. E. and Befort, W. (1992) Annual forest inventory system (AFIS): integrating data base techniques, satellite imagery, annual designed sampling and modeling. Proc. Conf. Integrat. Forest Resource Informat. Space, Time, Canberra, Australia, 314-324.
34. Hall, F. G. (1994) Adaptation of NASA remote sensing technology for regional-level analysis of forested ecosystems. In: Remote Sensing and GIS in Ecosystem Management, (V. A. Sample, ed.), Washington, DC: Island Press, 287-313.
35. Hall, F. G., Strebel D. E., Nickeson, J. E. and Goetz, S. J. (1991a) Radiometric rectification: Toward a common radiometric response among multi-date, multi-sensor images. Remote Sens. Environ. 35: 11-27.
36. Hall, F. G., Botkin, D. B., Strebel, D. E., Woods, K. D. and Goetz, S. J. (1991b) Large-scale patterns of forest succession as determined by remote sensing. Ecology 72: 628-640.
37. Hall, F. G., Townshend, J. R. and Engman, E. T. (1995a) Status of remote sensing algorithms for estimation of land surface state parameters. Remote Sens. Environ. 51: 138-156.
38. Hall, F. G., Shimabukuro, Y. E. and Huemmrich, K. F. (1995b) Remote sensing of forest biophysical structure in boreal stands of Picia Mariana using mixture decomposition and geometric reflectance models. Ecological Applications, in press.
39. Hall, R. J., Crown, P. H. and Titus, S. J. (1984) Change detection methodology for aspen defoliation with Landsat MSS digital data. Can. J. Remote Sens. 10: 135-142.
40. Hame, T. H. (1986) Satellite image aided change detection. In: Remote Sensing-Aided Forest Inventory, Research Notes No. 19, Department of Forest Mensuration and Management, University of Helsinki, Helsinki, Finland, 47-60.
41. Hame, T. H. (1988) Interpretation of forest changes from satellite scanner imagery. In: Satellite Imageries for Forest Inventory and Monitoring; Experiences, Methods, Perspectives, Research Notes No. 21, Department of Forest Mensuration and Management, University of Helsinki, Helsinki, Finland, 31-42.
42. He, D. C. and Wang, L. (1990) Texture feature extraction from texture spectrum. Proc. IGARSS'90 Symp., Washington, DC, 1987-1990.
43. Hill, J. and Sturm, B. (1991) Radiometric correction of multitemporal Thematic Mapper data for use in agricultural land cover classification and vegetation monitoring. Int. J. Remote Sens. 12: 1471-1491.
44. Hobbs, R. J. (1990) Remote sensing of spatial and temporal dynamics of vegetation. In: Remote Sensing of Biosphere Functioning (R. J. Hobbs and H. A. Mooney, eds). New York: Springer Verlag, 203-219.
45. Howarth, P. J. and Wickware, G. M. (1981) Procedures for change detection using Landsat. Int. J. Remote Sens. 2: 277-291.
46. Huete, A., Justice, C. and Liu, H. (1994) Development of vegetation and soil indices for MODIS-EOS. Remote Sens. Environ. 49: 224-234.
47. Ingebritsen, S. E. and Lyon, R. J. (1985) Principal components analysis of multitemporal image pairs. Int. J. Remote Sens. 6: 687-696.
48. Jakubauskas, M. E. (1989) Utilizing a geographic information system for vegetation change detection. Techn. Pap. ASPRS/ACSM'89 Conv. 4, Baltimore, MD, 56-64.
49. Jano, A. P. and Pala, S. (1984) A practical method for monitoring and mapping cutovers based on the digital analysis of Landsat data and automated map production. Proc. 8th Can. Symp. on Remote Sensing, Montreal, Canada, 567-573.
50. Jensen, J. R. (1981) Urban change detection mapping using Landsat digital data. The American Cartographer 8: 127-147.
51. Kaufman, Y. J. and Tanre, D. (1995) Strategy for direct and indirect methods for correcting the aerosol effect on remote sensing: From AVHRR to EOS-MODIS. Remote Sens. Environ., in press.
52. Khorram S., Biging, G. S., Chrisman, N. R., Colby, D. R., Congalton, R. G., Dobson, J. E., Ferguson, R. L., Jensen, J. R. and Mace, T. H. (1994) Accuracy Assessment of Land Cover Change Detection. Report 101 Computer Graphics Center, Raleigh, NC.
53. Kneppeck, I. D. and Ahern, F. J. (1989) Stratification of a regenerating burned forest in Alberta using Thematic Mapper and C-SAR images. Proc. IGARSS'89 Symp., Vancouver, Canada, 1391-1396.
54. Lagran, G. (1992) Preparing for a temporal forest GIS. The Compiler 10 (3): 18-26.
55. Lambin, E. F. and Strahler, A. H. (1994a) Change-vector analysis in multitemporal space: a tool to detect and categorize land-cover change processes using high temporal-resolution satellite data. Remote Sens. Environ. 48: 231-244.
56. Lambin, E. F. and Strahler, A. H. (1994b) Indicators of land-cover change for change-vector analysis in multitemporal space at coarse spatial scales. Int. J. Remote Sens. 15: 2099-2119.
57. Lee, Y. J. (1988) Delineation of clear cut area using thematic mapper data and perceptron image analysis system on an IBM microcomputer. Proc. 2nd Forest. Service. Remote Sens. Applications Conf.: Remote Sensing for Resource Inventory, Planning and Monitoring, Slidell, LA, and NSTL, Mississippi, 237-241.
58. Lee, J. K., Lulla, K. P. and Mausel, P. W. (1989) Data structure characterization of multispectral data using principal component and principal factor analysis. Geocarto 2: 43-47.
59. Ludeke, A. K., Maggio, R. C. and Reid, L. M. (1990) An analysis of anthropogenic deforestation using logistic regression and GIS. J. Environmental Management 31: 247-259.
60. Lund, H. G. (1983) Change: now you see it - now you don't! Proc. Int. Conf. on Renewable Resource Inventories for Monitoring Changes and Trends, Oregon State University, Corvallis, 211-213.
61. Malila, W. A. (1980) Change vector analysis: an approach detecting forest changes with Landsat. Proc. 6th Int. Symp. on Machine Processing of Remotely Sensed Data, Purdue University, West Lafayette, IN, 326-335.
62. McRoberts, R. E., Schmoldt, D. L. and Rauscher, H. M. (1991) Enhancing the scientific process with artificial intelligence: forest science applications. Art. Intelligence Appl. 5: 5-26.
63. Milne, A. K. (1988) Change direction analysis using Landsat imagery: A review of methodology. Proc. IGARSS'88 Symp. (ESA SP-284), Edinburgh, Scotland, 541-544.
64. Mladenoff, D. J. and Host, G. E. (1994) Ecological perspective: Current and potential applications of remote sensing and GIS to ecosystem analysis. In: Remote Sensing and GIS in Ecosystem Management, (V. A. Sample, ed.), Washington, DC: Island Press, 218-242.
65. Mladenoff, D. J., Host, G. E., Boeder, J. and Crow, T. R. (1994) LANDIS: A spatial model of forest landscape disturbances and succession at multiple scales. Proc. Second International Conference on Integrating GIS and Environmental Monitoring. National Center on Geographic Information and Analysis, Santa Barbara, CA.
66. Moore, M. M. and Bauer, M. E. (1990) Classification of forest vegetation in North-Central Minnesota using Landsat Multispectral Scanner and Thematic Mapper data. For. Sci. 36: 330-342.
67. Muchoney, D. M. and Haack, B. N. (1994) Change detection for monitoring forest defoliation. Photogramm. Eng. Remote Sens. 60: 1243-1251.
68. Mukai, Y., Sugimura, T., Watanabe, H. and Wakamori, K. (1987) Extraction of areas infested by pine bark beetle using Landsat MSS data. Photogramm. Eng, Remote Sens. 53: 77-81.
69. Mulder, N. J., Middelkoop, H. and Miltenburg, J. W. (1991) Progress in knowledge engineering for image interpretation and classification. J. Photogramm. Remote Sens. 46: 161-171.
70. Nelson, R. F. (1983) Detecting forest canopy change due to insect activity using Landsat MSS. Photogramm. Eng. Remote Sens. 49: 1303-1314.
71. Park, A. B., Wescott, T. F. and Royal, J. A. (1982) Urban encroachment on agricultural land. Proc. Int. Symp. on Remote Sensing of Environment, First Thematic Conference: "Remote Sensing of Arid and Semi-Arid Lands", Cairo, Egypt, 217-226.
72. Park, A. B., Houghton, R. A., Hicks, G. M. and Peterson, C. J. (1983) Multitemporal change detection techniques for the identification and monitoring of forest disturbances. Proc. 17th Int. Symp. on Remote Sensing of Environment, Ann Arbor, MI, 77-97.
73. Pilon, P. G., Howarth, P. J. and Adeniyi, P. O. (1987) Improving the detection of human-induced change in West Africa's semi-arid zone using multitemporal Landsat MSS imagery. Proc. 21st Int. Symp. on Remote Sensing of Environment, Ann Arbor, MI, 797-804.
74. Pilon, P. G., Howarth, P. J., Bullock, R. A. and Adeniyi, P. O. (1988) An enhanced classification approach to change detection in semi-arid environments. Photogramm. Eng. Remote Sens. 54: 1709-1716.
75. Reed, B. C. (1988) Using textural measures to distinguish spectrally similar vegetation. Techn. Pap. ACSM-ASPRS'88 Conv. 4, St. Louis, MO, 40-49.
76. Rencz, A. N. (1985) Multitemporal analysis of Landsat imagery for monitoring forest cutovers in Nova Scotia. Can. J. Remote Sens. 11: 188-194.
77. Richards, J. A. (1984) Thematic mapping from multitemporal image data using the principal components transformation. Remote Sens. Environ. 16: 35-46.
78. Rignot, E. J. M. and van Zyl, J. J. (1993) Change detection techniques for ERS-1 SAR data. IEEE Trans. Geosci. Remote Sens. 31: 896-906.
79. Riordan, C. J. (1981) Change detection for resource inventories using digital remote sensing data. Proc. Workshop on In-Place Resource Inventories: Principles and Practices, University of Maine, Orono, ME, 278-283.
80. Robinove, C. J. (1982) Computation with physical values from Landsat digital data. Photogramm. Eng. Remote Sens. 48: 781-784.
81. Sader, S. A. (1988) Remote sensing investigations of forest biomass and change detection in tropical regions. In: Satellite Imageries for Forest Inventory and Monitoring; Experiences, Methods, Perspectives, Research Notes No. 21, Department of Forest Mensuration and Management, University of Helsinki, Helsinki, Finland, 31-42.
82. Saraf, A. K. and Cracknell, A. P. (1989) Linear discriminant and profile analysis: an aid in remote sensing for geobotanical investigation. Int. J. Remote Sens. 10: 1735-1748.
83. Schowengerdt, R. A. (1983) Techniques for Image Processing and Classification in Remote Sensing. New York: Academic Press, 199.
84. Singh, A. and Harrison, A. (1985) Standardized principal components. Int. J. Remote Sens. 6: 883-896.
85. Singh, A. (1986) Change detection in the tropical forest environment of Northeastern India using Landsat. In: Remote Sensing and Tropical Land Management. New York: John Wiley and Sons Ltd., 237-254.
86. Singh, A. (1989) Digital change detection techniques using remotely-sensed data. Int. J. Remote Sens. 10: 989-1003.
87. Teillet, P. M. (1995) Advancements in land surface reflectance retrieval from multi-sensor data. Proc. Conf. on Land Satellite Information in the Next Decade, Amer. Soc. Photogramm. and Remote Sensing, in press.
88. Townshend, J. R. G., Justice, C. O., Gurney, C. and McManus, J. (1992) The impact of misregistration on change detection. IEEE Trans. Geosci. Remote Sens. 30: 1054-1060.
89. Ustin, S. L., Smith, M. O. and Adams, J. B. (1993) Remote sensing of ecological processes: A strategy for developing and testing ecological models using spectral mixture analysis. In: Scaling of Physiological Processes: Leaf to Globe (J. R. Ehleringer and C. B. Field, eds.). San Diego: Academic Press, 339-357.
90. Villasenor, J. D., Fatland, D. R. and Hinzman, L. D. (1993) Change detection on Alaska's North Slope using repeat-pass ERS-1 SAR images. IEEE Trans. Geosci. Remote Sens. 31 (1): 227-236.
91. Vogelmann, J. E. (1988) Detection of forest change in the Green Mountains of Vermont using multispectral scanner data. Int. J. Remote Sens. 9: 1187-1200.
92. Vogelmann, J. E. and Rock, B. N. (1988) Assessing forest damage in high-elevation coniferous forests in Vermont and New Hampshire using thematic mapper data. Remote Sens. Environ. 24: 227-246.
93. Wallace, J. F. and Campbell, H. (1989) Analysis of remotely sensed data. In: Remote Sensing of Biosphere Functioning (R. J. Hobbs and H. A. Mooney, eds). New York: Springer Verlag, 297-304.
94. Watanabe, H. and Hatamura, R. (1981) Monitoring of forest felling through analysis of artificial satellite's information. Proc. 17th IUFRO Congr. Div. 6, Ibaraki, Japan, 496.
95. Werle, D., Lee, Y. J. and Brown, R. J. (1986) The use of multi-spectral and radar remote sensing data for monitoring forest clear cut and regeneration sites on Vancouver Island. Proc. 10th Canadian Symp. on Remote Sensing, Edmonton, Canada, 319-329.
96. Weydahl, D. J. (1991) Change detection in SAR images. Proc. IGARSS'91 Symp., Espoo, Finland, 1421-1424.
97. White, R. G. (1991) Change detection in SAR imagery. Int. J. Remote Sens. 12: 339-360.
98. Williams, D. L., Sellers, P. J. and Irons, J. R. (1994) Global multistage, multispectral sampling capabilities in the late 1990's with sensors on Landsat 7 and the EOS AM1 platform. Proc. SPIE 2314: 98-106.
99. Woodcock, C. E., Collins, J. B., Gopal, S., Jakabhazy, V. D., Li, X., Macomber, S., Ryherd, S., Harward, V. J., Levitan, J., Wu, Y. and Warbington, R. (1994) Mapping forest vegetation using Landstat TM imagery and a canopy reflectance model. Remote Sens. Environ. 50: 240-254.
100. Xu, H. and Young, J. A. (1990) Monitoring changes in land use through integration of remote sensing and GIS. Proc. IGARSS'90 Symp., University of Maryland, College Park, MD, 957-960.
101. Yokota, T. and Matsumoto, Y. (1988) Detection of seasonal and long-term changes in land cover from multitemporal Landsat MSS data. Proc. IGARSS'88 Symp. ESA SP-284, Edinburgh, Scotland, 215-218.