Following a site-specific secondary succession in the Amazon using the Landsat CDR product and field inventory data

References

• Alves, D. S., M. I. S. Escada, J. L. G. Pereira, and C. D. Linhares. 2003. “Land Use Intensification and Abandonment in Rondônia, Brazilian Amazônia.” International Journal of Remote Sensing 24: 899–903. doi:10.1080/0143116021000015807.
   Web of Science ®Google Scholar
• Anderson, L. O., L. Aragão, Y. E. Shimabukuro, S. Almeida, and A. Huete. 2011. “Fraction Images for Monitoring Intra-Annual Phenology of Different Vegetation Physiognomies in Amazonia.” International Journal of Remote Sensing 32: 387–408. doi:10.1080/01431160903474921.
   Web of Science ®Google Scholar
• Anwar, S., and A. Stein. 2012. “Detection and Spatial Analysis of Selective Logging with Geometrically Corrected Landsat Images.” International Journal of Remote Sensing 33: 7820–7843. doi:10.1080/01431161.2012.701378.
   Web of Science ®Google Scholar
• Aragão, L. E. O. C., Y. E. Shimabukuro, F. D. B. Espírito-Santo, and M. Williams. 2005. “Landscape Pattern and Spatial Variability of Leaf Area Index in Eastern Amazonia.” Forest Ecology and Management 211: 240–256. doi:10.1016/j.foreco.2005.02.062.
   Web of Science ®Google Scholar
• Asner, G. P., M. M. C. Bustamante, and A. R. Townsend. 2003. “Scale Dependence of Biophysical Structure in Deforested Areas Bordering the Tapajo’s National Forest, Central Amazon.” Remote Sensing of Environment 87: 507–520. doi:10.1016/j.rse.2003.03.001.
   Web of Science ®Google Scholar
• Asner, G. P., M. Keller, R. Pereira, Jr, J. C. Zweede, and J. N. M. Silva. 2004. “Canopy Damage and Recovery after Selective Logging in Amazonia: Field and Satellite Studies.” Ecological Applications 14: S280–S298. doi:10.1890/01-6019.
   Google Scholar
• Bernardes, S. 1996. “Índices de vegetação e valores de proporção na caracterização de floresta tropical primária e estados sucessionais na área da Floresta Nacional do Tapajós.” Master diss., Instituto Nacional de Pesquisas Espaciais (INPE), São José dos Campos, SP, Brasil. (INPE-6890-TDI/651). 117 p.
   Google Scholar
• Boardman, J. W. 1993. “Automating Spectral Unmixing of AVIRIS Data Using Convex Geometry Concepts.” Paper presented at the JPL Airborne Geoscience Workshop, Pasadena, October 25–29 (Jet Propulsion Laboratory Publication 93–26, pp. 11–14).
   Google Scholar
• Brasil, P. R. 1976. Folha SA-21 Santarém, Geologia, Geomorfologia, Solos, Vegetação e Uso Potencial da Terra. 522 pp. Rio de Janeiro: Departamento Nacional de Produção Mineral (DNPM). (Levantamento de recursos naturais, 10).
   Google Scholar
• Brown, S., and A. E. Lugo. 1990. “Tropical Secondary Forests.” Journal of Tropical Ecology 6: 1–32. doi:10.1017/S0266467400003989.
   Web of Science ®Google Scholar
• Chave, J., C. Andalo, S. Brown, M. A. Cairns, J. Q. Chambers, D. Eamus, H. Fölster, F. Fromard, N. Higuchi, T. Kira, J. Lescure, B. W. Nelson, H. Ogawa, H. Puig, B. Riéra, and T. Yamakura. 2005. “Tree Allometry and Improved Estimation of Carbon Stocks and Balance in Tropical Forests.” Oecologia 145: 87–99. doi:10.1007/s00442-005-0100-x.
   PubMed Web of Science ®Google Scholar
• Chazdon, R. 2012. “Regeneração de florestas tropicais.” Boletim do Museu Paraense Emílio Goeldi de Ciências Naturais 7: 195–218.
   Google Scholar
• Cochrane, M. A., and W. F. Laurance. 2002. “Fire as a Large-Scale Edge Effect in Amazonian Forests.” Journal of Tropical Ecology 18: 311–325. doi:10.1017/S0266467402002237.
   Web of Science ®Google Scholar
• Colwell, R. K., A. Chao, N. J. Gotelli, S. Lin, C. X. Mao, R. L. Chazdon, and J. T. Longino. 2012. “Models and Estimators Linking Individual-Based and Sample-Based Rarefaction, Extrapolation and Comparison of Assemblages.” Journal of Plant Ecology 5: 3–21. doi:10.1093/jpe/rtr044.
   Web of Science ®Google Scholar
• Crist, E. P., and R. J. Kauth. 1986. “The Tasseled Cap de-Mystified.” Photogrammetric Engineering and Remote Sensing 52: 81–86.
   Web of Science ®Google Scholar
• Cutler, M. E. J., D. S. Boyd, G. M. Foody, and A. Vetrivel. 2012. “Estimating Tropical Forest Biomass with a Combination of SAR Image Texture and Landsat TM Data: An Assessment of Predictions between Regions.” ISPRS Journal of Photogrammetry and Remote Sensing 70: 66–77. doi:10.1016/j.isprsjprs.2012.03.011.
   Web of Science ®Google Scholar
• Davidson, E. A., C. J. R. Carvalho, A. M. Figueira, F. Y. Ishida, J. P. H. B. Ometto, G. B. Nardoto, R. T. Saba, S. N. Hayashi, E. C. Leal, I. C. G. Vieira, and L. A. Martinelli. 2007. “Recuperation of Nitrogen Cycling in Amazonian Forests following Agricultural Abandonment.” Nature 447: 995–998. doi:10.1038/nature05900.
   PubMed Web of Science ®Google Scholar
• Espírito-Santo, F. D. B., Y. E. Shimabukuro, and T. M. Kuplich. 2005. “Mapping Forest Successional Stages following Deforestation in Brazilian Amazonia Using Multi-Temporal Landsat Images.” International Journal of Remote Sensing 26: 635–642. doi:10.1080/0143116042000274078.
   Web of Science ®Google Scholar
• Exelis Visual Information Solutions. 2013. “Environment for Visualizing Images (ENVI).” Version 5.0.
   Google Scholar
• Fearnside, P. M. 1997. “Wood Density for Estimating Forest Biomass in Brazilian Amazonia.” Forest Ecology and Management 90: 59–87. doi:10.1016/S0378-1127(96)03840-6.
   Web of Science ®Google Scholar
• Fearnside, P. M. 2005. “Deforestation in Brazilian Amazonia: History, Rates, and Consequences.” Conservation Biology 19: 680–688. doi:10.1111/j.1523-1739.2005.00697.x.
   Web of Science ®Google Scholar
• Foody, G. M., G. Palubinskas, R. M. Lucas, P. J. Curran, and M. Honzak. 1996. “Identifying Terrestrial Carbon Sinks: Classification of Successional Stages in Regenerating Tropical Forest from Landsat TM Data.” Remote Sensing of Environment 55: 205–216. doi:10.1016/S0034-4257(95)00196-4.
   Web of Science ®Google Scholar
• Gallardo-Cruz, J. A., J. A. Meave1, E. J. González, E. E. Lebrija-Trejos, M. A. Romero-Romero, E. A. Pérez-García, R. Gallardo-Cruz, J. L. Hernández-Stefanoni, C. Martorell, and J. Chave. 2012. “Predicting Tropical Dry Forest Successional Attributes from Space: Is the Key Hidden in Image Texture?” Plos One 7: e30506–12. doi:10.1371/journal.pone.0030506.
   PubMed Web of Science ®Google Scholar
• Galvão, L. S., F. J. Ponzoni, V. Liesenberg, and J. R. Santos. 2009. “Possibilities of Discriminating Tropical Secondary Succession in Amazônia Using Hyperspectral and Multiangular CHRIS/PROBA Data.” International Journal of Applied Earth Observation and Geoinformation 11: 8–14. doi:10.1016/j.jag.2008.04.001.
   Web of Science ®Google Scholar
• Galvão, L. S., J. R. Santos, D. A. Roberts, F. M. Breunig, M. Toomey, and Y. M. Moura. 2011. “On Intra-Annual EVI Variability in the Dry Season of Tropical Forest: A Case Study with MODIS and Hyperspectral Data.” Remote Sensing of Environment 115: 2350–2359. doi:10.1016/j.rse.2011.04.035.
   Web of Science ®Google Scholar
• Green, A. A., M. Berman, P. Switzer, and M. D. Craig. 1988. “A Transformation for Ordering Multispectral Data in Terms of Image Quality with Implications for Noise Removal.” IEEE Transactions on Geoscience and Remote Sensing 26: 65–74. doi:10.1109/36.3001.
   Web of Science ®Google Scholar
• Haralick, R. M., K. Shanmugam, and I. Dinstein. 1973. “Textural Features for Image Classification.” IEEE Transactions on Systems, Man and Cybernetics 3: 610–621. doi:10.1109/TSMC.1973.4309314.
   Web of Science ®Google Scholar
• Healey, S. P., W. B. Cohen, Y. Zhiqiang, and O. N. Krankina. 2005. “Comparison of Tasseled Cap-Based Landsat Data Structures for Use in Forest Disturbance Detection.” Remote Sensing of Environment 97: 301–310. doi:10.1016/j.rse.2005.05.009.
   Web of Science ®Google Scholar
• Houghton, R. A., D. L. Skole, C. A. Nobre, J. L. Hackler, K. T. Lawrence, and W. H. Chomentowski. 2000. “Annual Fluxes or Carbon from Deforestation and Regrowth in the Brazilian Amazon.” Nature 403: 301–304. doi:10.1038/35002062.
   PubMed Web of Science ®Google Scholar
• Huete, A. R., K. Didan, T. Miura, E. P. Rodriguez, X. Gao, and L. G. Ferreira. 2002. “Overview of the Radiometric and Biophysical Performance of the MODIS Vegetation Indices.” Remote Sensing of Environment 83: 195–213. doi:10.1016/S0034-4257(02)00096-2.
   Web of Science ®Google Scholar
• Jennings, S. B., N. D. Brown, and D. Sheil. 1999. “Assessing Forest Canopies and Understorey Illumination: Canopy Closure, Canopy Cover and Other Measures.” Forestry 72: 59–74. doi:10.1093/forestry/72.1.59.
   Web of Science ®Google Scholar
• Ketterings, Q. M., R. Coe, M. Van Noordwijk, Y. Ambagau, and C. A. Palm. 2001. “Reducing Uncertainty in the Use of Allometric Biomass Equations for Predicting Above-Ground Tree Biomass in Mixed Secondary Forests.” Forest Ecology and Management 146: 199–209. doi:10.1016/S0378-1127(00)00460-6.
   Web of Science ®Google Scholar
• Legendre, P., and L. Legendre. 1998. Numerical Ecology, 852 pp. Amsterdam: Elsevier.
   Google Scholar
• Li, H., P. Mausel, E. Brondizio, and D. Deardorff. 2010. “A Framework for Creating and Validating a Non-Linear Spectrum-Biomass Model to Estimate the Secondary Succession Biomass in Moist Tropical Forests.” ISPRS Journal of Photogrammetry and Remote Sensing 65: 241–254. doi:10.1016/j.isprsjprs.2010.01.002.
   Web of Science ®Google Scholar
• Lu, D., and M. Batistella. 2005. “Exploring TM Image Texture and Its Relationships with Biomass Estimation in Rondônia, Brazilian Amazon.” Acta Amazonica 35: 249–257. doi:10.1590/S0044-59672005000200015.
   Google Scholar
• Lu, D., P. Mausel, M. Batistella, and E. Moran. 2004. “Comparison of Land-Cover Classification Methods in the Brazilian Amazon Basin.” Photogrammetric Engineering and Remote Sensing 70: 723–731. doi:10.14358/PERS.70.6.723.
   Web of Science ®Google Scholar
• Lu, D., P. Mausel, E. Brondízio, and E. Moran. 2003. “Classification of Successional Forest Stages in the Brazilian Amazon Basin.” Forest Ecology and Management 181: 301–312. doi:10.1016/S0378-1127(03)00003-3.
   Web of Science ®Google Scholar
• Lucas, R. M., M. Honzák, I. D. Amaral, P. J. Curran, and G. M. Foody. 2002. “Forest Regeneration on Abandoned Clearances in Central Amazonia.” International Journal of Remote Sensing 23: 965–988. doi:10.1080/01431160110069791.
   Web of Science ®Google Scholar
• Lucas, R. M., X. Xiao, S. Hagen, and S. Frolking. 2002. “Evaluating TERRA-1 MODIS Data for Discrimination of Tropical Secondary Forest Regeneration Stages in the Brazilian Legal Amazon.” Geophysical Research Letters 29: 42-1–42-4. Article Number 1200. doi:10.1029/2001GL013375.
   Web of Science ®Google Scholar
• Lucas, R. M., M. Honzák, P. J. Curran, G. M. Foody, and D. T. Nguele. 2000. “Characterizing Tropical Forest Regeneration in Cameroon Using NOAA AVHRR Data.” International Journal of Remote Sensing 21: 2831–2854. doi:10.1080/01431160050121276.
   Web of Science ®Google Scholar
• Masek, J. G., E. F. Vermote, N. E. Saleous, R. Wolfe, F. G. Hall, K. F. Huemmrich, F. Gao, J. Kutler, and T. K. Lim. 2006. “A Landsat Surface Reflectance Dataset for North America, 1990-2000.” IEEE Geoscience and Remote Sensing Letters 3: 68–72. doi:10.1109/LGRS.2005.857030.
   Web of Science ®Google Scholar
• Mausel, P., Y. Wu, Y. Li, E. F. Moran, and E. S. Brondizio. 1993. “Spectral Identification of Successional Stages following Deforestation in the Amazon.” Geocarto International 8: 61–71. doi:10.1080/10106049309354430.
   Google Scholar
• Moran, E. F., E. S. Brondizio, J. M. Tucker, M. C. Da Silva-Forsberg, S. McCracken, and I. Falesi. 2000. “Effects of Soil Fertility and Land-Use on Forest Succession in Amazônia.” Forest Ecology and Management 139: 93–108. doi:10.1016/S0378-1127(99)00337-0.
   Web of Science ®Google Scholar
• Moran, E. F., A. Packer, E. Brondízio, and J. Tucker. 1996. “Restoration of Vegetation Cover in the Eastern Amazon.” Ecological Economics 18: 41–54. doi:10.1016/0921-8009(96)00034-1.
   Web of Science ®Google Scholar
• Moreira, R. C., and L. S. Galvão. 2010. “Variation in Spectral Shape of Urban Materials.” Remote Sensing Letters 1: 149–158. doi:10.1080/01431161003692032.
   Web of Science ®Google Scholar
• Moura, Y. M., L. S. Galvão, J. R. dos Santos, D. A. Roberts, and F. M. Breunig. 2012. “Use of Misr/Terra Data to Study Intra- and Inter-Annual EVI Variations in the Dry Season of Tropical Forest.” Remote Sensing of Environment 127: 260–270. doi:10.1016/j.rse.2012.09.013.
   Web of Science ®Google Scholar
• Narvaes, I. D. S. 2010. Avaliação de dados SAR polarimétricos para estimativa de biomassa em diferentes fitofisionomias de florestas tropicais. PhD diss., Instituto Nacional de Pesquisas Espaciais (INPE), São José dos Campos, SP, Brasil. (2010/08.09.22.43-TDI). 190 p.
   Google Scholar
• Neeff, T., P. M. D. Graça, L. V. Dutra, and C. D. Freitas. 2005. “Carbon Budget Estimation in Central Amazonia: Successional Forest Modeling from Remote Sensing Data.” Remote Sensing of Environment 94: 508–522. doi:10.1016/j.rse.2004.12.002.
   Web of Science ®Google Scholar
• Neeff, T., R. M. Lucas, J. R. Dos Santos, E. S. Brondizio, and C. C. Freitas. 2006. “Area and Age of Secondary Forests in Brazilian Amazonia 1978-2002: An Empirical Estimate.” Ecosystems 9: 609–623. doi:10.1007/s10021-006-0001-9.
   Web of Science ®Google Scholar
• Numata, I., M. A. Cochrane, and L. S. Galvão. 2011. “Analyzing the Impacts of Frequency and Severity of Forest Fire on the Recovery of Disturbed Forest Using Landsat Time Series and EO-1 Hyperion in the Southern Brazilian Amazon.” Earth Interactions 15: 1–17. Article number 13. 10.1175/2010EI372.1
   Web of Science ®Google Scholar
• Prates, C. D. C. 2004. “Remote Sensing of Tropical Regenerating Forests in the Brazilian Amazon.” PhD Diss., Cardiff University. 282 p.
   Google Scholar
• Prates-Clark, C. C., R. M. Lucas, and J. R. Santos. 2009. “Implications of Land-Use History for Forest Regeneration in the Brazilian Amazon.” Canadian Journal of Remote Sensing 35: 534–553. doi:10.5589/m10-004.
   Web of Science ®Google Scholar
• Quesada, M., G. A. Sanchez-Azofeifa, M. Alvarez-Anorve, K. E. Stoner, L. Avila-Cabadilla, J. Calvo-Alvarado, J. A. Castillo, M. M. Espirito-Santo, M. Fagundes, G. W. Fernandes, J. Gamon, M. Lopezaraiza-Mikel, D. Lawrence, L. P. C. Morellato, J. S. Powers, F. D. Neves, V. Rosas-Guerrero, R. Sayago, and G. Sanchez-Montoya. 2009. “Succession and Management of Tropical Dry Forests in the Americas: Review and New Perspectives.” Forest Ecology and Management 258: 1014–1024. doi:10.1016/j.foreco.2009.06.023.
   Web of Science ®Google Scholar
• Roberts, D. A., R. O. Green, and J. B. Adams. 1997. “Temporal and Spatial Patterns in Vegetation and Atmospheric Properties from AVIRIS.” Remote Sensing of Environment 62: 223–240. doi:10.1016/S0034-4257(97)00092-8.
   Web of Science ®Google Scholar
• Rouse, J. W., R. H. Haas, J. A. Schell, and D. W. Deering. 1973. “Monitoring Vegetation Systems in the Great Plains with ERTS.” Paper Presented at the Third ERTS- 1 Symposium, Washington, DC, December 10–14 (NASA SP-351, vol. 1, pp. 309–317).
   Google Scholar
• Saldarriaga, J. G., D. C. West, M. L. Tharp, and C. Uhl. 1988. “Long-Term Chronosequence of Forest Succession in the Upper Rio Negro of Colombia and Venezuela.” The Journal of Ecology 76: 938–958. doi:10.2307/2260625.
   Web of Science ®Google Scholar
• Santos, J. R., C. C. Freitas, L. S. Araujo, L. V. Dutra, J. C. Mura, F. F. Gama, L. S. Soler, and S. J. S. Sant’Anna. 2003. “Airborne P-Band SAR Applied to the Aboveground Biomass Studies in the Brazilian Tropical Rainforest.” Remote Sensing of Environment 87: 482–493. doi:10.1016/j.rse.2002.12.001.
   Web of Science ®Google Scholar
• Sarmiento, L., L. D. Llambí, A. Escalona, and N. Marquez. 2003. “Vegetation Patterns, Regeneration Rates and Divergence in an Old Field Succession of the High Tropical Andes.” Plant Ecology 166: 145–156. doi:10.1023/A:1023262724696.
   Web of Science ®Google Scholar
• Solano, R., K. Didan, A. Jacobson, and A. Huete. 2010. MODIS Vegetation Indices (MOD13) C5 – User´S Guide, 38 pp. Tucson: The University of Arizona.
   Google Scholar
• Souza, C. M., D. A. Roberts, and M. A. Cochrane. 2005. “Combining Spectral and Spatial Information to Map Canopy Damage from Selective Logging and Forest Fires.” Remote Sensing of Environment 98: 329–343. doi:10.1016/j.rse.2005.07.013.
   Web of Science ®Google Scholar
• Spurrier, J. D. 2003. “On the Null Distribution of the Kruskal-Wallis Statistics.” Journal of Nonparametric Statistics 15: 685–691. doi:10.1080/10485250310001634719.
   Web of Science ®Google Scholar
• Tucker, J. M., E. S. Brondizio, and E. F. Moran. 1998. “Rates of Forest Regrowth in Eastern Amazonia: A Comparison of Altamira and Bragantina Regions, Para State, Brazil.” Interciencia 23: 64–73.
   Web of Science ®Google Scholar
• Uhl, C., R. Buschbacher, and E. A. S. Serrao. 1988. “Abandoned Pastures in Eastern Amazonia. I. Patterns of Plant Succession.” The Journal of Ecology 76: 663–681. doi:10.2307/2260566.
   Web of Science ®Google Scholar
• USGS. 2013. “Landsat Climate Data Record (CDR) Surface Reflectance. Product Guide, Version 3.3.” Department of the Interior, United States Geological Survey (USGS). September 2013, 34 p.
   Google Scholar
• van der Meer, F., S. de Jong, and W. Bakker. 2001. “Imaging Spectrometry: Basic Analytical Techniques.” In Imaging Spectrometry, edited by F. van der Meer and S. de Jong, 17–61. Chap. 2. London: Kluwer.
   Google Scholar
• Vermote, E. F., D. Tanre, J. L. Deuze, M. Herman, and J. J. Morcrette. 1997. “Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: An Overview.” IEEE Transactions on Geoscience and Remote Sensing 35: 675–686. doi:10.1109/36.581987.
   Web of Science ®Google Scholar
• Vieira, I. C. G., A. S. Almeida, E. A. Davidson, T. A. Stone, C. J. R. Carvalho, and J. B. Guerrero. 2003. “Classifying Successional Forests Using Landsat Spectral Properties and Ecological Characteristics in Eastern Amazônia.” Remote Sensing of Environment 87: 470–481. doi:10.1016/j.rse.2002.09.002.
   Web of Science ®Google Scholar
• Yanasse, C. C. F., S. J. S. Sant’Anna, A. C. Frery, C. D. Rennó, J. V. Soares, and A. J. Luckman. 1997. “Exploratory Study of the Relationship between Tropical Forest Regeneration Stages and SIR-C L and C Data.” Remote Sensing of Environment 59: 180–190. doi:10.1016/S0034-4257(96)00149-6.
   Web of Science ®Google Scholar