Land cover classification using Landsat TM imagery in the tropical highlands: The influence of anisotropic reflectance

International Journal of Remote Sensing

Volumn 19, Issue 8, 1998, Pages 1479-1500

  Colby, J D ^a   Keating, P L ^b  

^a EAST CAROLINA UNIVERSITY   (United States)

^b UNIVERSITY OF MIAMI   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGING SYSTEMS; MULTISPECTRAL SCANNERS; TROPICS;

ANISOTROPIC REFLECTANCE PATTERNS; LANDSAT THEMATIC MAPPER;

REMOTE SENSING;

IMAGE CLASSIFICATION; LANDCOVER; LANDCOVER CLASSIFICATION; LANDSAT TM; REFLECTANCE; REMOTE SENSING; TROPICS;

COSTA RICA; ECUADOR;

EID: 3643052919     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/014311698215306     Document Type: Article

References (71)

1. Anderson, J. R., Hardy, E. E., Roach, J. T., and Witmer, R. E., 1976, A land use and l and cover classification system for use with remote sensor data. Geological Survey Professional Paper 964, United States Government Printing Office, Washington, DC.
2. Autodesk, 1992, AutoCAD Release 12: Reference manual (San Rafael, CA: Autodesk, Inc.).
3. Balslev, H., 1988, Distribution patterns of Ecuadorian plant species. Taxon, 37, 567-577.
4. Booth, W., 1989, Monitoring the fate of the forests from space. Science, 243, 1428-1429.
5. Brondizio, E., Moran, E., M Ausel, P., and Wu, Y., 1996, L and cover in the Amazon Estuary: linking of the Thematic Mapper with botanical and historical data. Photogrammetric Engineering and Remote Sensing, 62, 921-929.
6. Campbell, R. W., Rodriguez, H., and Sader, S. A., 1980, Design of a nationwide natural resource inventory and information system for Costa Rica. Proceedings of the Fourteenth International Symposium on Remote Sensing of Environment, San Jose, Costa Rica, 23-30 April 1980 (Ann Arbor, MI: Environmental Research Institute of Michigan), pp. 325-340.
7. Civco, D., 1989, Topographic normalization of L andsat Thematic Mapper imagery. Photogrammetric Engineering and Remote Sensing, 55, 1303-1309.
8. Colby, J. D., 1991, Topographic normalization in rugged terrain. Photogrammetric Engineering and Remote Sensing, 57, 531-537.
9. Colby, J. D., 1995, Resolution, fractal characterization and the simulated hydrologic response of a Costa Rican watershed. Unpublished PhD dissertation, Department of Geography, University of Colorado.
10. Congalton, R. G., 1988, A comparison of sampling schemes used in generating error matrices for assessing the accuracy of maps generated from remotely sensed data. Photogrammetric Engineering and Remote Sensing, 54, 593-600.
11. Congalton, R. G., 1991, A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of the Emnvironment, 37, 35-46.
12. Cortes, G. V. M., and Oconitrillo, C. G., 1987, Erosion de suelos horticulas en el area de cot y tierra blanca de Cartago. Undergraduate thesis, Department of Geography, University of Costa Rica, San Jose, Costa Rica.
13. Crippen, E. R., 1988, The dangers of underestimating the importance of data adjustments in b and ratioing. International Journal of Remote Sensing, 9, 767-776.
14. Eastman, R. J., 1993, IDRISI Update Manual, Version 4.1 (Worcester, MA: Clark University).
15. Echavarria, F. R., 1993, Remote Sensing of Montane Forest Degradation in Southern Ecuador. Unpublished PhD dissertation, Department of Geography, University of South Carolina.
16. Ekstrand, S., 1996, L andsat TM-based forest damage assessment: correction for topographic effects. Photogrammetric Engineering and Remote Sensing, 62, 151-161.
17. Erdas, 1994, ERDAS Field Guide (Atlanta, GA: ERDAS, Inc.).
18. Esri, 1992, ARC/INFO Version6.1 (Redl ands, CA: Environmental Science Research Institute).
19. Estes, J. E. (Editor), 1983, Manual of Remote Sensing, 2nd edn, Vol. 2 (Falls Church, VA: The Sheridan Press).
20. Fitzpatrick-Lins, K., 1980, The accuracy of selected l and-use and l and-cover maps made from high-altitude photographs and L andsat multispectral imagery. Journal of Research (United States Geological Survey), 6, 23-40.
21. Fundacion Natura, 1992, Accwnes de Desarrollo en Zonas de Influencia de Areas Protegidas (Quito, Ecuador: Fundacion Natura).
22. Garcia, M. C., and Alvarez, D. R., 1994, TM digital processing of a tropical forest region in southeastern Mexico. International Journal of Remote Sensing, 15, 1611-1632.
23. Hall-Konyves, K., 1987, The topographic effect on Landsat data in gently undulating terrain in southern Sweden. International Journal of Remote Sensing, 8, 157-168.
24. Hastenrath, S., 1981, The Glaciation of the Ecuadorian andes (Rotterdam: A. A. Balkema).
25. Hill, R. A., and Foody, G. M., 1994, Separability of tropical rain-forest types in the Tambopata-C andamo Reserved Zone, Peru. International Journal of Remote Sensing, 15, 2687-2693.
26. Hodgson, M. E., and Shelley, B. M., 1994, Removing the topographic effect in remotely sensed imagery. ERDAS Monitor, 6, 4-6.
27. Holben, B. N., and Justice, C. O., 1979, Evaluation and modeling of the topographic effect on the spectral response from nadir pointing sensors. National Aeronautics and Space Administration Technical Memor andum 80305, Greenbelt, Maryland.
28. Holdridge, L. R., 1967, Life Zone Ecology (San Jose, Costa Rica: Tropical Science Center).
29. Hugli, H., and Frei, W., 1983, Underst anding anisotropic reflectance in mountainous terrain, Photogrammetric Engineering and Remote Sensing, 49, 671-683.
30. Hutchinson, C. F., 1982, Techniques for combining L andsat and ancillary data for digital classification improvement. Photogrammetric Engineering and Remote Sensing, 48, 123-130.
31. Jansson, M. B., and Rodriguez, A. (Editors), 1992, Sedimentological studies in the Cachi Reservoir, Costa Rica. Department of Physical Geography, Uppsala University. UNGI Rapport Nr 81.
32. Jensen, J. R., 1996, Introductory Digital Image Processing: A remote sensing perspective, 2nd edn (Englewood Cliffs, NJ: Prentice-Hall).
33. Justice, C. O., and Holben, B., 1979, Examination of Lambertian and non-Lambertian models for simulating the topographic effect on remotely sensed data. National Aeronautics and Space Administration Technical Memor andum 80557, Greenbelt, Maryland.
34. Justice, C. O., Wharton, S. W., and Holben, B. N., 1980, APPLICATION OF DIGITAL TERRAIN DATA TO QUANTIFY and REDUCE THE TOPOGRAPHIC EFFECT ON L andSAT DATA. NATIONAL AERONAUTICS and SPACE ADMINISTRATION TECHNICAL MEMOR andUM 81988, GREENBELT, MARYLand.
35. Kawata, Y., Ueno, S., and Kusaka, T., 1988, Radiometric correction for atmospheric and topographic effects on L andsat MSS images. International Journal of Remote Sensing, 9, 729-748.
36. Keating, P. L., 1995, DISTURBANCE REGIMES and REGENERATION DYNAMICS OF UPPER MONTANE FORESTS and PARAMOS IN THE SOUTHERN ECUADORIAN andES. UNPUBLISHED PHD DISSERTATION, DEPARTMENT OF GEOGRAPHY, UNIVERSITY OF COLORADO.
37. Keating, P. L., 1997, Mapping vegetation and anthropogenic disturbances in southern Ecuador with remote sensing techniques: implications for park management. 1997 Yearbook of the Conference of Latin Americanist Geographers (University of Texas Press), pp. 77-90.
38. Kowalick, W. S., Lyon, R. P., and Switzer, P., 1983, The effects of additive radiance terms on ratios of L andsat data. Photogrammetric Engineering and Remote Sensing, 49, 659-669.
39. Leprieur, C. E., Durrand, J. M., and Peyron, J. L., 1988, Influence of topography on forest reflectance using L andsat Thematic Mapper and digital terrain data. Photogrammetric Engineering and Remote Sensing, 54, 491-496.
40. Lillesand, T. M., and Kiefer, R. W., 1994, Remote Sensing and Image Interpretation, 3rd edn (New York: John Wiley and Sons).
41. Malingreau, J. P., Tucker, C. J., and Laporte, N., 1989, AVHRR for monitoring tropical deforestation. International Journal of Remote Sensing, 10, 855-867.
42. Markham, B. L., and Townshend, J. R., 1981, Land cover classification accuracy as a function of sensor spatial resolution. Proceedings of the Fifteenth International Symposium on Remote Sensing of Environment, Ann Arbor, Michigan, May 1981 (Ann Arbor, MI: Environmental Research Institute of Michigan), pp. 1075-1085.
43. Mausel, P. W., Kramber, W. J., and Lee, J. K., 1990, Optimum b and selection for supervised classification of multispectral data. Photogrammetric Engineering and Remote Sensing, 56, 55-60.
44. Mausel, P., Wu, Y., Li, Y., Moran, E. F., and Brondizio, E. S., 1993, Spectral identification of successional stages following deforestation in the Amazon. Geocarto International, 4, 61-71.
45. Meyer, P., Itten, K. I., Kellenberger, T., Sandimeier, S., and Sandimeier, R., 1993, Radiometric corrections of topographically induced effects on L andsat TM data in an alpine environment. ISPRS Journal of Photogramme try and Remote Sensing, 48, 17-28.
46. Minnaert, J. L., 1941, The reciprocity principle in lunar photometry. Astrophysics Journal, 93, 403-410.
47. Mora, C. S., 1987, Analisis preliminar de la Amenaza y Vulnerabilidad Potenciales Generadas por el Rio Reventado y el Deslizamiento de San Blas, Cartago, Costa Rica. Tecnologla en Marcha, 9, 19-37.
48. Moran, E. F., Brondizio, E., Mausel, P., and Wu, Y., 1994, Integrating Amazonian vegetation, l and-use, and satellite data. BioScience, 44, 329-338.
49. Mulders, M. A., De Bruin, S., and Schuilig, B. P., 1992, Structured approach to l and cover mapping of the Atlantic zone of Costa Rica using single data TYM data. International Journal of Remote Sensing, 13, 3017-3033.
50. Paradella, W. R., Da Silva, M. F., De A., Rosa, N., and Kushigbor, C. A., 1994, A geobotanical approach to the tropical rain forest environment of the Carajas Mineral Province (Amazon Region, Brazil), based on digital TM-L andsat and DEM data. International Journal of Remote Sensing, 15, 1633-1648.
51. Quesada, M. C. A., 1979, EFFECT OF RESERVOIR SEDIMENTATION and STREAMFLOW MODIFICATION ON FIRM POWER GENERATION. UNPUBLISHED PHD DISSERTATION, DEPARTMENT OF CIVIL ENGINEERING, COLORADO STATE UNIVERSITY.
52. Richards, J. A., 1986, Remote Sensing Digital Image Analysis: An introduction (New York: Springer-Verlag).
53. Rosenfield, G. H., and Fitzpatrick-Lins, K., 1986, A coefficient of agreement as a measure of thematic classification accuracy. Photogrammetric Engineering and Remote Sensing, 52, 223-227.
54. Sabins, F., 1997, Remote Sensing Principles and Interpretation (New York: Freeman).
55. Sader, S. A., Waide, R. B., Lawrence, W. T., and Joyce, A. T., 1989, Tropical forest biomass and successional age class relationships to a vegetation index derived from Landsat TM data. Remote Sensing of Environment, 28, 143-156.
56. Sader, S. A., Stone, T. A., and Joyce, A. T., 1990, Remote sensing of tropical forests: an overview of research and applications using non-photographic sensors. Photogrammetric Engineering and Remote Sensing, 56, 1343-1351.
57. Sader, S. S., Powell, G. V. N., and Rappole, J. H., 1991, Migratory bird habitat monitoring through remote sensing. International Journal of Remote Sensing, 12, 363-372.
58. Simonett, D. S. (Editor), 1983, Manual of Remote Sensing, 2nd edn, Vol. 1 (Falls Church, VA: The Sheridan Press).
59. Skole, D. L., Chomentowski, W. H., Salas, W. A., and Nobre, A. D., 1994, Physical and human dimensions of deforestation in Amazonia. BioScience, 44, 314-322.
60. Smith, J., Lin, T., and Ranson, K., 1980, The Lambertian assumption and Landsat data. Photogrammetric Engineering and Remote Sensing, 46, 1183-1189.
61. Solis, B. H., Murillo, M. W., and Oreamuno, V. R., 1991, ESTUDIO HIDROL^GICO E HIDRAULICO PARA EL CONTROL DE INUNDACIONES EN LA CUENCA DEL RIO PURIRES: VALLE DE GUARCO. INFORME TECNICO, SERVICIO NACIONAL DE AGUAS SUBTERRANEAS RIEGO Y AVENAMIENTO: DIRECTION DE INGENIERA, CENTRO AGRONOMICO TROPICAL DE INVESTIGATION Y ENSE^ANZA: PROYECTO RENARM-CUENCAS.
62. Stohr, C. J., and West, T., 1985, Terrain and look angle effect upon multispectral scanner response. Photogrammetric Engineering and Remote Sensing, 51, 229-235.
63. Story, M., and Congalton, R. G., 1986, Accuracy assessment: a user’s perspective. Photogrammetric Engineering and Remote Sensing, 52, 397-399.
64. Teillet, P. M., Guidon, B., and Goodenough, D. G., 1982, On the slope-aspect correction of multispectral data. Canadian Journal of Remote Sensing, 8, 84-106.
65. Toll, D. L., 1984, An evaluation of simulated Thematic Mapper data and L andsat MSS data for discriminating suburban and regional l and use and l and cover. Photogrammetric Engineering and Remote Sensing, 50, 1713-1724.
66. Tosi, J. A., 1969, Ecological Map of Costa Rica (San Jose, Costa Rica: Tropical Science Center).
67. Townshend, J. R. G., and Justice, C. O., 1986, Analysis of the dynamics of African vegetation using the normalized difference vegetation index. International Journal of Remote Sensing, 7, 1435-1445.
68. Tucker, C. J., Holben, B. N., and Goff, T. E., 1984, Intensive forest clearing in Rondonia, Brazil, as detected by satellite remote sensing. Remote Sensing of Environment, 15, 255-261.
69. Vanclay, J. K., and Preston, R. A., 1990, Utility of L andsat Thematic Mapper data for mapping site productivity in tropical moist forests. Photogrammetric Engineering and Remote Sensing, 56, 1383-1388.
70. Waldron, H. H., 1967, DEBRIS FLOW and EROSION CONTROL PROBLEMS CAUSED BY THE ASH ERUPTIONS OF IRAZU VOLCANO, COSTA RICA. GEOLOGICAL SURVEY BULLETIN 1241-I. UNITED STATES GOVERNMENT PRINTING OFFICE, WASHINGTON DC.
71. Young, K. R., and Leon, B., 1995, Connectivity, social actors, and conservation policies in the Central andes: the case of Peru’s montane forests. In Biodiversity and Conservation of Neotropical Montane Forests, edited by S. P. Churchill, H. Balslev, E. Forero and J. L. Luteyn (New York: The New York Botanical Garden), pp. 653-661.