Mapping the regional extent of tropical forest regeneration stages in the Brazilian Legal Amazon using NOAA AVHRR data

International Journal of Remote Sensing

Volumn 21, Issue 15, 2000, Pages 2855-2881

  Lucas, R M ^a   Honzak M ^b   Curran, P J ^c   Foody, G M ^c   Milne, R ^d   Brown, T ^d   Amaral, S ^e  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

^b UNIVERSITY OF MARYLAND   (United States)

^c UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^d CENTRE FOR ECOLOGY AND HYDROLOGY   (United Kingdom)

^e INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

AVHRR; CARBON FLUX; MAPPING METHOD; NOAA SATELLITE; REGENERATION; TROPICAL FOREST;

EID: 0033810997     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160050121285     Document Type: Article

References (75)

1. ADAMS, J., SABOL, D. E., KAPOS, V., FILHO, R. A., ROBERTS, D. A., SMITH, M. O., and GILLESPIE, A. R., 1995, Classification of endmembers application to land-cover change in the Brazilian Amazonia. Remote Sensing of Environment, 52, 137-154.
2. ALVAREZ-BULLYA, E. R., and GARCIA-BARRIOS R., 1991, Seed and forest dynamics: a theoretical framework and an example from the Neotropics. The American Naturalist, 137, 133-154.
3. ALVES, D. S., SOARES, J. V., AMARAL, S., MELLO, E. M. K., ALMEIDA, S. A. S., DA SILVA, O. S., and SILVEIRA, A. M., 1997, Biomass of primary and secondary vegetation in Rondonia, Western Brazilian Amazon. Global Change Biology, 3, 451-461.
4. ARCHARD, F., and ESTREGUIL, C., 1995, Forest classification of Southeast Asia using NOAA AVHRR data. Remote Sensing of Environment, 54, 198-208.
5. BOYD, D. G., and CURRAN, P. J., 1998, Remote sensing to reduce uncertainties in the global carbon budget: the potential of radiation acquired in middle infrared wavelengths. Remote Sensing Reviews, 16, 293-327.
6. BROWN, S., and LUGO, A. E., 1990, Tropical secondary forests. Journal of Tropical Ecology, 6,1-32.
7. BUSCHBACHER, R. J., 1986, Tropical deforestation and pasture development. Bioscience, 36, 22-28.
8. CANNELL, M. C., 1996, Forests as carbon sinks mitigating the greenhouse effect. Commonwealth Forestry Review, 75, 92-99.
9. CHE, N., and PRICE, J. C., 1992, Survey of radiometric calibration results and methods for visible and near infrared channels of NOAA-7,-9 and-11 AVHRRs. Remote Sensing of Environment, 41, 19-27.
10. CONGALTON, R. G., 1991, A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment, 37, 35-46.
11. CROSS, A., 1991, Tropical forest monitoring using AVHRR: towards an automated system for change detection. Final Report to the United Nations Environment Programme (UNEP) Global Resources Information Database (GRID), Natural Environment Research Council (NERC), Reading.
12. CURRAN, P. J., DUNGAN, J. L., and GHOLZ, H. L., 1992, Seasonal LAI in slash pine estimated with Landsat TM. Remote Sensing of Environment, 39, 3-13.
13. CURRAN, P. J., FOODY, G. M., LUCAS, R. M., and HONZAK, M., 1995, A methodology for remotely sensing the stage of regeneration in tropical forests. In TERRA-2: Understanding the Terrestrial Environment. Remote Sensing Data Systems and Networks, edited by P. M. Mather (Chichester: John Wiley), pp. 189-202.
14. CURRAN, P. J., FOODY, G. M., LUCAS, R. M., HONZALK, M. and GRACE, J., 1997, The carbon balance of tropical forests. In Scaling-Up: From Cell to Landscape, edited by P. van Gardingen, G. M. Foody, and P. J. Curran (Cambridge: Cambridge University Press), pp. 201-227.
15. D’SOUZA, G., and MALINGREAU, J. P., 1994, The use of NOAA AVHRR for vegetation mapping and monitoring in the Amazon Basin. Remote Sensing Reviews, 10, 5-34.
16. D’SOUZA, G., and SANDFORD, T. D. G., 1996, Techniques for geometric correction of NOAA AVHRR imagery. In Advances in the Use of NOAA AVHRR Data for Land Applications, edited by G. D’Souza, A. S. Belward and J. P. Malingreau (Dordrecht: Kluwer Academic Publishers), pp. 153-193.
17. D’SOUZA, G., MALINGREAU, J. P., and EVA, H., 1994, TREES Tropical Cover Map Derived From AVHRR 1 km Data (92-94) (Ispra: EC Joint Research Centre).
18. DE MORAES, J. F. L., SEYLER, F., CELLI, C. C., and VOLKOLF, B., 1998, Land cover mapping and carbon pool estimates in Rondonia, Brazil. International Journal of Remote Sensing, 19, 921-934.
19. ESKI (ENVIRONMENTAL SYSTEMS RESEARCH INSTITUTE), 1993, Digital Chart of the World (New York: ESRI).
20. ESTREGUIL, C. M. M., and LAMBIN, E. F., 1996, Mapping forest-cover disturbances in Papua New Guinea with AVHRR data. Journal of Biogeography, 23, 757-773.
21. FEARNSIDE, P. M., 1987, Causes of deforestation in the Brazilian Amazon. In The Geophysiology of Amazonia: Vegetation and Climate Interactions, edited by R. F. Dickinson (New York: John Wiley), pp. 57-61.
22. FEARNSIDE, P. M., 1988, An ecological analysis of predominant land uses in the Brazilian Amazon. The Environmentalist, 8, 281-300.
23. FEARNSIDE, P. M., 1992, Greenhouse gas emissions from deforestation in the Brazilian Amazon. In Carbon Emissions and Sequestration in Forests: Case Studies from Seven Developing Countries, edited by W. Makundi, J. Sathaye, and O. Masera, Rep. LBL-32119, US Environmental Protection Agency, Climate Change Division, Washington, DC, and Lawrence Berkeley Laboratory, Energy and Environment Division, Berkeley, California.
24. FEARNSIDE, P. M, 1996, Amazonian deforestation and global warming: carbon stocks in vegetation replacing Brazil’s Amazon forest. Forest Ecology and Management, 80, 21-34.
25. FOODY, G. M., PALUBINSKAS, G., LUCAS, R. M., CURRAN, P. J., and HONZAK, M., 1996, Identifying terrestrial carbon sinks: classification of successional stages in regenerating tropical forest from Landsat TM. Remote Sensing of Environment, 55, 205-216.
26. FOODY, G. M., LUCAS, R. M., CURRAN, P. J., and HONZÀK, M., 1997a, Mapping tropical forest fractional cover from coarse spatial resolution remote sensing imagery. Plant Ecology, 131, 143-154.
27. FOODY, G. M., LUCAS, R. M., CURRAN, P. J., and HONZÀK, M., 1997b, Non-linear mixture modelling without end-members with an artificial neural network. International Journal of Remote Sensing, 18, 937-953.
28. GRACE, J., LLOYD, J., MCINTYRE, J., MIRANDA, A. C., MEIR, P., MIRANDA, H. S., NOBRE, C., MONCRIEFF, J., MASSHEDER, J., MALHI, Y., WRIGHT, I., and GASH, J., 1995a, Carbon dioxide uptake by an undisturbed tropical rainforest in southwest Amazonia, 1992 to 1993. Science, 270, 778-780.
29. GRACE, J., LLOYD, J., MCINTYRE, J., MIRANDA, MONCRIEF, J., MASSHEDER, J., WRIGHT, I., and GASH, J., 1995b, Fluxes of carbon dioxide and water vapour over an undisturbed tropical forest in south-west Amazonia. Global Change Biology, 1, 1-12.
30. HECHT, S. B., 1993, The logic of livestock and deforestation in Amazonia. BioScience, 43, 687-695.
31. HOLBEN, B. N., VERMOTE, E., KAUFMAN, Y. J., TANRE, D., and KALB, V., 1992, Aerosol retrieval over land from AVHRR data—application for atmospheric correction. IEEE Transactions on Geoscience and Remote Sensing, 30, 212-222.
32. HOUGHTON, R. A., SKOLE, J. L., and LEFKOWITZ, D. S., 1991, Changes in the landscape of Latin America between 1850 and 1985 II. Net release of CO2 to the atmosphere. Forest Ecology and Management, 38, 173-199.
33. INSTITUTO NACIONAL DE Pesquisas ESPACIAIS, 1990, Deforestation of the Brazilian Amazon evaluated by remote sensing techniques. INPE Space News, 1, 3-6.
34. INSTITUTO NACIONAL DE Pesquisas ESPACIAIS, 1992, Deforestation in Brazilian Amazonia (Sao Jose dos Campos: INPE).
35. INSTITUTO NACIONAL DE PEsquiSAS ESPACIAIS, 1998, Deforestation in Brazilian Amazonia (Sao Jose dos Campos: INPE).
36. KAUFMAN, Y. J., and SENDRA, C., 1988, Algorithm for automatic atmospheric corrections to visible and near-IR satellite imagery. International Journal of Remote Sensing, 9, 1357-1381.
37. KAUFMAN, Y. J., and NAKAJIMA, T., 1993, Effect of Amazon smoke on cloud microphysics and albedo—analysis from satellite imagery. Journal of Applied Meteorology, 32, 729-744.
38. KIDWELL, K. B., 1991, NOAA Polar Orbiter Data Users’ Guide (Washington, DC: National Oceanic and Atmospheric Administration).
39. LAPORTE, N., JUSTICE, C., and KENDALL, J., 1995, Mapping the dense humid forest of Cameroon and Zaire using AVHRR satellite data. International Journal of Remote Sensing, 16, 1127-1145.
40. LUCAS, R. M., 1996, Integration of NOAA AVHRR and fine spatial resolution imagery for tropical forest monitoring. In Advances in the Use of NOAA AVHRR Data for L and Applications, edited by G. D’Souza, A. Belward and J. P. Malingreau (Dordrecht: Kluwer), pp. 377-394.
41. LUCAS, R. M., HONZAK, M., FOODY, G. M., CURRAN, P. J., and CORVES, C., 1993, Characterising tropical secondary forests using multi-temporal Landsat sensor imagery. International Journal of Remote Sensing, 14, 3061-3067.
42. LUCAS, R. M., CURRAN, P. J., HONZAK, M., FOODY, G. M., DO AMARAL, I., and AMARAL, S., 1996, Disturbance and recovery of tropical forests: balancing the carbon account. In Amazonian Deforestation and Climate, edited by J. H. C. Gash, C. A. Nobre, J. M. Roberts and R. L. Victoria (Chichester: John Wiley), pp. 383-398.
43. LUCAS, R. M., HONZAK, M., DO AMARAL, I., CURRAN, P. J., FOODY, G. M. and AMARAL, S., 1998, Composicäo floristica, biomassa, e estrutura de florestas tropicais em regeneracäo: uma avaliacäo por sensoriamento remoto. In Floresta Amazonica Dinamica, Regeneracao e Manejo, edited by C. Gascon and P. Moutinho (Manaus: INPA Press), pp. 61-82.
44. LUCAS, R. M., HONZAK, M., DO AMARAL, I., CURRAN, P. J., FOODY, G. M., and NELSON, B., 2000a, Regeneration processes and carbon dynamics of tropical forests regenerating on abandoned clearances in central Amazonia, Biotropica (submitted).
45. LUCAS, R. M., HONZAK, M., DO AMARAL, I., CURRAN, P. J., FOODY, G. M., and NELSON, B., 2000b, Tropical forest regeneration on abandoned clearances in Central Amazonia. International Journal of Remote Sensing (submitted).
46. MALING, D. H., 1992, Coordinate Systems and Map Projections (Oxford: Pergamon Press).
47. MALINGREAU, J. P., TUCKER, C. J., and LAPORTE, N., 1989, AVHRR for monitoring global tropical deforestation. International Journal of Remote Sensing, 10, 855-867.
48. MALINGREAU, J. P., ACHARD, F., ESTREGUIL, C., STIBIG, H. J., and D’SOUZA, G., 1996, NOAA-AVHRR based tropical forest mapping for southeast Asia, validated and calibrated with higher spatial resolution imagery. In Advances in the Use of NOAA AVHRR Data for L and Applications, edited by G. D’Souza, A. S. Belward, and J. P. Malingreau (Dordrecht: Kluwer), pp. 279-309.
49. 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, 61-66.
50. MCDONNELL, P. W., 1979, Introduction to Map Projections (New York: Marcel Dekker).
51. MORAN, E. F., BRONDIZIO, E., MAUSEL, P., and WU, Y., 1994, Integrating Amazonian vegetation, land use and satellite data. Bioscience, 44, 329-338.
52. NEPSTAD, D. C., UHL, C., and SERRAO, E. A. S., 1991, Recuperation of a degraded Amazonian landscape: forest recovery and agricultural restoration. Ambio, 20, 248-255.
53. PETERSON, D. L., and RUNNING, S. W., 1989, Applications in forest science and management. In Theory and Applications of Optical Remote Sensing, edited by G. Asrar (New York: Wiley), pp. 429-479.
54. PETERSON, D. L., SPANNER, M. A., RUNNING, R. W., and TEUBER, K. B., 1987, Relationships of Thematic Mapper Simulator data to leaf area index of temperate coniferous forests. Remote Sensing of Environment, 22, 323-341.
55. PINTY, B., and VERSTRAETE, M. M., 1992, GEMI: a non-linear index to monitor global vegetation from satellites. Vegetatio, 101, 15-20.
56. RICHARDS, J. A., 1993, Remote Sensing Digital Image Analysis, An Introduction, 2nd edn (London: Springer).
57. ROBERTS, J. M., CABRAL, O. M. R., DA COSTA, J. P., MCWILLIAM, A.-L. C., and DEASA, T. D., 1996, An overview of the leaf area index and physiological measurements during ABRACOS. In Amazonian Deforestation and Climate, edited by J. H. C. Gash, C. A. Nobre, J. M. Roberts and R. L. Victoria (Chichester: John Wiley), pp. 287-306.
58. SADER, S. A., WAIDE, R. B., LAWRENCE, W. T., and JOYCE, A. T, 1989, Tropical forest biomass and successional age class relationship to vegetation index derived from Landsat TM data. Remote Sensing of Environment, 28, 143-156.
59. 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.
60. SALDARRIAGA, J. G., 1985, Forest Succession in the Upper Rio Negro of Colombia and Venezuela. PhD thesis, Knoxville, University of Tennessee, USA.
61. SCHROEDER, P. E., and WINTUM, J. K., 1995, Assessing Brazil’s carbon budget: biotic fluxes and net carbon balance. Forest Ecology and Management, 75, 87-99.
62. SKOLE, D. L., and TUCKER, C. J., 1993, Tropical deforestation and habitat fragmentation in the Amazon: satellite data from 1978 to 1988. Science, 260, 1905-1910.
63. 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.
64. SMITH, N. J. H, SERRAO, E. A. S, ALVIM, P. T., and FALESI, I. C., 1995, Amazonia: Resiliency and Dynamism of the Land and its People (Tokyo: United Nations University Press).
65. SOUFFLET, V., TANRE, D., BEGUE, A., PODAIRE, A., and DESCHAMPS, P. Y, 1991, Atmospheric effects on NOAA AVHRR data over Sahelian regions. International Journal of Remote Sensing, 12, 1189-1203.
66. STEININGER, M. K., 1996, Tropical secondary forest regrowth in the Amazon: age, area and change estimation with Thematic Mapper data. International Journal of Remote Sensing, 17, 9-27.
67. STONE, T. A., SCHLESINGER, P., HOUGHTON, R. A., and WOODWELL, G. M., 1994, A map of the vegetation of South America based on satellite imagery. Photogrammetric Engineering and Remote Sensing, 60, 541-551.
68. TANRE, D., DEROO, D., DUHAUT, P., HERMAN, M., MORCRETTE, J. J, PERBOS, J., and DESCHAMPS, P. Y., 1990, Description of a computer code to simulate the satellite signal in the solar spectrum: the 5S code. International Journal of Remote Sensing, 11, 659-668.
69. TANRE, D., HOLBEN, B. N., and KAUFMAN, Y. J., 1992, Atmospheric correction algorithm for NOAA AVHRR products: theory and application. IEEE Transactions on Geoscience and Remote Sensing, 30, 231-247.
70. TANS, P. P., FUNG, I. Y., and TAKAHASHI, T., 1990, Observational constraints on the global atmosphere CO2 budget. Science, 247, 1431-1438.
71. UHL, C., 1987, Factors controlling succession following slash and burn agriculture in Amazonia. Journal of Ecology, 75, 377-407.
72. UHL, C., BUSCHBACHER, R., and SERRAO, E. A. S., 1988, Abandoned pastures in eastern Amazonia. I. Patterns of plant succession. Journal of Ecology, 76, 663-681.
73. VERMOTE, E., TANRE, D., DEUZE, J. L., HERMAN, M., and MORCRETTE, J. J., 1994, Second Simulation of the Satellite Signal in the Solar Spectrum (6S User Guide, Version 0) (Lille: Laboratoire d’Optique Atmospherique, Universite des Sciences et Technologies de Lille).
74. VERMOTE, E., TANRE, D., DEUZE, J. L., HERMAN, M., and MORCETTE, J. J., 1997, Second simulation of the satellite signal in the solar spectrum: An overview. IEEE Transactions on Geoscience and Remote Sensing, 35, 675-686.
75. WILLIAMS, W. A., LOOMIS, R. S., and ALVIM, P. DE T., 1972, Environments of evergreen rainforest on the lower Rio Negro, Brazil. Tropical Ecology, 13, 65-78.