Resolution and error in measuring land-cover change: Effects on estimating net carbon release from Mexican terrestrial ecosystems

International Journal of Remote Sensing

Volumn 18, Issue 1, 1997, Pages 121-137

  Riley, R H ^a   Phillips, D L ^a   Schuft, M J ^b   Garcia, M C ^c  

^a U S ENVIRONMENTAL PROTECTION AGENCY   (United States)

^b ALION SCIENCE AND TECHNOLOGY   (United States)

^c PURDUE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CARBON; CLASSIFICATION (OF INFORMATION); ECOSYSTEMS; ERRORS; LAND USE; MULTISPECTRAL SCANNERS; PARAMETER ESTIMATION;

CARBON BUDGET ANALYSIS; LAND COVER CHANGE; NET CARBON RELEASE;

REMOTE SENSING;

CARBON BUDGET; CARBON EXCHANGE; LAND COVER; LAND COVER CHANGE; LANDSAT MSS; LANDSAT MULTISPECTRAL SCANNER; REMOTE SENSING; TERRESTRIAL ECOSYSTEM;

MEXICO, VERACRUZ STATE, LOS TUXTLAS;

EID: 0030949310     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/014311697219312     Document Type: Article

References (34)

1. Anderson, J. R., Hardy, E. E., Roach, J. T., and Witmer, R. E., 1976, A land use and land cover classification system for use with remote sensor data: U.S. Geological Survey Professional Paper 964, 28 pp.
2. Brown, S. A., Gillespie, J. R., and Lugo, A. E., 1989, Biomass estimation methods for tropical forests with applications to forest inventory data. Forest Science, 35, 881-902.
3. Brown, S., and Lugo, A. E., 1984. Biomass of tropical forests: a new estimate based on forest volume. Science, 223, 1290-1293.
4. Brown, S., and Luco, A. E., 1992, Aboveground biomass estimates for tropical moist forests of the Brazilian Amazon. In ter ciencia, 17, 8-18.
5. Cannell, M. G. R., 1982, World Forest Biomass and Primary Production Data. 391 Primary Productivity (London: Academic Press).
6. Cong Alton, R. G., 1991, A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of the Environment, 37, 35-46.
7. Dale, V. H., Houghton, R. A., and Hall, C. A. S., 1991, Estimating the effects of land-use change on global atmospheric CO2 concentrations. Canadian Journal of Forest Research, 21, 87-90.
8. Davidson, E. A., and Ackerman, I. L., 1993, Changes in soil carbon inventories following cultivation of previously untilled soils. Biogeochemistry, 20, 161-193.
9. Dirzo, R., and Garcia, M. C., 1992. Rates of deforestation in Los Tuxtlas, a neotropical area in southeast Mexico. Conservation Biology, 6. 84-90.
10. Fao 1993. Forest Resources Assessment 1990. Food and Agriculture Organization of the United Nations. Forestry Paper no. 112. Food and Agriculture Organization. Rome, Italy.
11. Fearnside, P. M., 1992, Greenhouse gas emissions from deforestation in the Brazilian Amazon. In Carbon Emission and Sequestration in Forests: Case Studies from Seven Developing Countries: Summary, edited by W. Makundi and J. Sathaye, Lawrence Berkeley Laboratory Report SLBL-32665, University of California, Berkeley. California. August 1992.
12. Fleiss, J. L., 1981. Statistical Methods for Rates and Proportions, 2nd edn (New York: Wiley).
13. García, M. C., and Alvarez, R., 1994, TM digital processing of a tropical forest region in southeastern Mexico. International Journal of Remote Sensing. 15, 1611-1632.
14. Guevara, S., Meave, J., Moreno-Casasola, P., and Laborde, J., 1992. Floristic composition and structure of vegetation under isolated trees in neotropical pastures. Journal of Vegetation Science, 3, 655-664.
15. Houghton, R. A., Skole, D. 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.
16. Inegi, 1984. Uso del Suelo y Vegetación. Aguascalientes (Mexico: Instituto Nacional de Estadística. Geografia e Informatica).
17. 2 Concentrations: Southeast Asia as a Case Study, edited by V. Dale, and F.O. O’Hara (New York: Springer-Verlag) ch. 3.
18. Makundi, W., Sathaye, J., and Cerutti, O. M., 1992, Summary. In Carbon Emission and Sequestration in Forests: Case Studies from Seven Developing Countries: Summary. edited by W. Makundi and J. Sathaye, Lawrence Berkeley Laboratory Report nLBL-32665, University of California. Berkeley, California. August 1992.
19. Masera, O., De Jesús Ordóñez, M., and Dirzo, R., 1992, Carbon emission from deforestation in Mexico: current situation and long-term scenarios. In Carbon Emission and Sequestration in Forests: Case Studies from Seven Developing Countries: Summary. edited by W. Makundi and J. Sathaye, Lawrence Berkeley Laboratory Report nLBL-32665, University of California. Berkeley. California. August 1992.
20. Monserud, R. A., and Leemans, R., 1992, Comparing global vegetation maps with the Kappa statistic. Ecological Modelling. 62, 275-293.
21. Olson, J. S., Watts, J. A., and Allison, L. J., 1983, Carbon in Live Vegetation of Major World Ecosystems (ORNL-5862), (Oak Ridge, TN: Oak Ridge National Laboratory).
22. Prisley, S. P., and Smith, J. L., 1987, Using classification error matrices to improve the accuracy of weighted land-cover models. Photogramme trie Engineering and Remote Sensing, 53, 1259-1263.
23. Purata, S. E., 1986, Transect analysis as a basis for comparing stages of old-field succession in a tropical rain forest area in Mexico. Tropical Ecology, 27, 103-122.
24. Salati, E., Victoria, R. L., Martinelli, L. A., and Richey, J. E., 1991, Forests: their role in global change, with special reference to the Brazilian Amazon. In Climate Change: Science. Impacts and Policy—Proceedings of the Second World Climate Conference, edited by J. Jager and H. L. Ferguson. (New York: Cambridge University Press), pp. 391-395.
25. Saldarriaga, J. G., 1985, Forest succession in the upper Rio Negro of Colombia and Venezuela. Ph.D. dissertation, The University of Tennessee, Knoxville, TN.
26. Sorani, V., Alvarez, R., Baca, J. C., and Varela, S., 1993, The forest inventory of Mexico, phase 1: classification with TM imagery. Proceedings of the 25th International Symposium. Remote Sensing and Global Environmental Change. Graz Austria. 4 8 April 1993. Volume 2 (Ann Arbor: Environmental Research Institute of Michigan) pp. 423-433.
27. 2. In Ecological Genetics and Air Pollution, edited by G. E. Taylor, L. F. Pitelka and M. T. Clegg (New York: Springer-Verlag) pp. 177-202.
28. Subak, S., Raskin, P., and Von Hippel, D., 1993, National greenhouse gas accounts: current anthropogenic sources and sinks. Climatic Change. 25, 15-58.
29. Uhl, C., Buschbacher, R., and Serrão, E. A. S., 1988. Abandoned pastures in Eastern Amazonia. II. patterns of plant succession. Journal of Ecology, 76, 633-681.
30. Us-Epa (U.S. Environmental Protection Agency), 1993. North American landscape characterization (NALC): landsat pathfinder technical work plan. EPA 600/X-93/009. U.S. Environmental Protection Agency. Environmental Monitoring Systems Laboratory, Las Vegas. NV. USA.
31. Van Deusen, P. C., 1994, Correcting bias in change estimates from thematic maps. Remote Sensing of the Environment. 50, 67-73.
32. Woodwell, G. M., Hobbie, J. E., Houghton, R. A., Melillo, J. M., Moore, B., Peterson, B. J., and Shaver, G. R., 1983. Global deforestation: contribution to atmospheric carbon dioxide. Science, 222, 1081-1086.
33. Wri (World Resources Institute) 1993, World Resources Institute, and International Institute for Environment and Development. World Resources 1992-93. A Guide to the Global Environment (Oxford: Oxford University Press).
34. Zinke, P. J., Stangenberger, A. G., Post, W. M., Emanuel, W. R., and Olson, J. S., 1984. Worldwide Organic Soil Carbon and Nitrogen Data (ORNL/TM-8857). (Oak Ridge. Tennessee: Oak Ridge National Laboratory).