A multi-sensor approach for mapping plant-derived carbon storage in Amazonian podzols

References

• Adler-Golden, S. M., M. W. Matthew, L. S. Bernstein, R. Y. Levine, A. Berk, S. C. Richtsmeier, P. K. Acharya, G. P. Anderson, J. W. Felde, J. A. Gardner, M. L. Hoke, L. S. Jeong, B. Pukall, A. J. Ratkowski and H. K. Burke. 1999. “Atmospheric Correction for Short-wave Spectral Imagery Based on MODTRAN4.” SPIE Proceeding 3755: 1–10. doi:10.1117/12.366315.
   Google Scholar
• Batjes, N. H., and J. A. Dijkshoorn. 1999. “Carbon and Nitrogen Stocks in the Soils of the Amazon Region.” Geoderma 89: 273–286. doi:10.1016/S0016-7061(98)00086-X.
   Web of Science ®Google Scholar
• Berk, A., L. S. Bernstein, G. P. Anderson, P. K. Acharya, D. C. Robertson, J. H. Chetwynd, and S. M. Adler-Golden. 2002. “Exploiting MODTRAN Radiation Transport Atmospheric Correction: The FLAASH Algorithm.” SPIE Proceeding 2: 798–803. doi:10.1109/ICIF.2002.1020888.
   Google Scholar
• Bernoux, M., M. D. S. Carvalho, B. Volkoff, and C. C. Cerri. 2002. “Brazil’s Soil Carbon Stocks.” Soil Science Society of America Journal 66: 888–896. doi:10.2136/sssaj2002.8880.
   Web of Science ®Google Scholar
• Boulet, R., A. Chauvel, F. X. Humbel, and Y. Lucas. 1982. “Analyse structurale et cartographie en pédologie: I – Prise en compte de l’organisation bidimensionnelle de la couverture pédologique: les études de toposéquences et leurs principaux apports à la connaissance des sols.” Cahiers ORSTOM, Série Pédologie 19: 309–321.
   Google Scholar
• Boulet, R., Y. Lucas, E. Fritsch, and H. Paquet. 1997. “Geochemical Processes in Tropical Landscapes: Role of the Soil Covers.” In Soils and Sediments – Mineralogy and Geochemistry, edited by H. Paquet and N. Clauer, 67–96. Heidelberg: Springer-Verlag.
   Google Scholar
• BRASIL. 1977. Ministério das Minas e Energia. RADAMBRASIL Project: Volume SA.19, Theme: Pedologia. Rio de Janeiro, 181–237. (Levantamento dos Recursos Naturais, 14).
   Google Scholar
• Bueno, G. T. 2009. “Appauvrissement et podzolisation des latérites du bassin du Rio Negro et genèse des Podzols dans le haut bassin amazonien.” Ph.D. thesis, Institut de Physique du Globe de Paris (IPGP), Instituto de Geografia, Universidade Estadual Paulista “Júlio de Mesquita Filho” (UNESP), Paris, 193 pp.
   Google Scholar
• Cerri, C. E. P., M. Easter, K. Paustian, K. Killian, K. Coleman, M. Bernoux, P. Falloon, D. S. Powlson, N. H. Batjes, E. Milne, and C. C. Cerri. 2007. “Predicted Soil Organic Carbon Stocks and Changes in the Brazilian Amazon between 2000 and 2030.” Agriculture, Ecosystems & Environment 122: 58–72. doi:10.1016/j.agee.2007.01.008.
   Web of Science ®Google Scholar
• Congalton, R. G., and K. Green. 1999. Assessing the Accuracy of Remotely Sensed Data: Principles and Practices, 183 pp. Boca Raton, FL: Lewis.
   Google Scholar
• Du Gardin, B., M. Grimaldi, and Y. Lucas. 2002. “Effets de la déshydratation sur les sols du système ferralsol-podzols d’Amazonie centrale. Reconstitution de la courbe de désorption d’eau à partir de la porosimétrie au mercure.” Bulletin de la Societe Géologique de France 173: 19–34.
   Web of Science ®Google Scholar
• Dubroeucq, D., B. Volkaff, and P. Faure. 1999. “Les couvertures pédologiques à podzols du bassin du haut Rio Negro (Amazonie).” Etude et gestion des sols 6: 131–153.
   Google Scholar
• Dubroeucq, D., and B. Volkoff. 1998. “From Oxisols to Spodosols and Histosols: Evolution of the Soil Mantles in the Rio Negro Basin (Amazonia).” Catena 32: 245–280. doi:10.1016/S0341-8162(98)00045-9.
   Web of Science ®Google Scholar
• Global Land Cover Facility (GLCF). 2009. “Landsat GeoCover.” Maryland. Accessed May 4, 2014. http://glcf.umiacs.umd.edu/data/landsat/
   Google Scholar
• Goodwin, N. R., N. C. Coops, M. A. Wulder, S. Gillanders, T. A. Schroeder, and T. Nelson. 2008. “Estimation of Insect Infestation Dynamics Using a Temporal Sequence of Landsat Data.” Remote Sensing of Environment 112: 3680–3689. doi:10.1016/j.rse.2008.05.005.
   Web of Science ®Google Scholar
• IBGE. Geoscience Department (DGC). 2008. “Coordenação de Recursos Naturais e Estudos Ambientais (CREN).” Mapas georreferencias de recursos naturais. Scale 1:250:000, Digital Format: shp. Rio de Janeiro. Accessed August 15, 2014. ftp://geoftp.ibge.gov.br/mapas/
   Google Scholar
• ITT. 2009. “Visual Information Solutions.” Accessed January 20, 2014. http://www.envi.com.br/index.php?link=Atmospheric_Correction.
   Google Scholar
• Lucas, Y., A. Chauvel, R. Boulet, G. Ranzani, and F. Scatolini. 1984. “Transicão latossolos-podzois sobre a formação Barreiras na região de Manaus, Amazônia.” The Revista Brasileira de Ciencia do Solo 8: 325–335.
   Google Scholar
• Montes, C. R., Y. Lucas, A. J. Melfi, and D. A. Ishida. 2007. “Systèmes sols ferrallitiques–podzols et genèse des kaolins.” Comptes Rendus Geoscience 339: 50–56. doi:10.1016/j.crte.2006.11.001.
   Web of Science ®Google Scholar
• Montes, C. R., Y. Lucas, O. J. R. Pereira, R. Achard, M. Grimaldi, and A. J. Melfi. 2011. “Deep Plant-Derived Carbon Storage in Amazonian Podzols.” Biogeosciences 8: 113–120. doi:10.5194/bg-8-113-2011.
   Web of Science ®Google Scholar
• NASA. 2009. “Landsat 7 Science Data Users Handbook.” Maryland. Accessed January 15, 2014. http://landsathandbook.gsfc.nasa.gov/pdfs/Landsat7_Handbook.pdf
   Google Scholar
• Nascimento, N. R., G. T. Bueno, E. Fritsch, A. J. Herbillon, T. Allard, A. Melfi, R. Astolfo, H. Boucher, and Y. Li. 2004. “Podzolization as a Deferralitization Process: A Study of an Acrisol-Podzol Sequence Derived from Palaeozoic Sandstones in the Northern Upper Amazon Basin.” European Journal of Soil Science 55: 523–538. doi:10.1111/j.1365-2389.2004.00616.x.
   Web of Science ®Google Scholar
• REDD. 2014. “Information Sharing Web Platform.” Accessed January 15, 2014. http://unfccc.int/methods_science/redd/items/4531.php
   Google Scholar
• Saatchi, S. S., R. A. Houghton, R. C. Dos Santos Alvalá, J. V. Soares, and Y. Yu. 2007. “Distribution of Aboveground Live Biomass in the Amazon Basin.” Global Change Biology 13: 816–837. doi:10.1111/j.1365-2486.2007.01323.x.
   Web of Science ®Google Scholar
• Shafri, H. Z. M., and F. S. H. Ramle. 2009. “A Comparison of Support Vector Machine and Decision Tree Classifications Using Satellite Data of Langkawi Island.” Information Technology Journal 8: 64–70. doi:10.3923/itj.2009.64.70.
   Google Scholar
• Sobrino, J. A., J. C. Jimenez-Munoz, and L. Paolini. 2004. “Land Surface Temperature Retrieval from LANDSAT TM 5.” Remote Sensing of Environment 90: 434–440. doi:10.1016/j.rse.2004.02.003.
   Web of Science ®Google Scholar
• Stropp, J., P. Van Der Sleen, P. A. Assunção, A. L. Silva, and H. T. Ter Steege. 2011. “Tree Communities of White-Sand and Terra-Firme Forests of the Upper Rio Negro.” Acta Amaz 41: 521–544. doi:10.1590/s0044-59672011000400010.
   Google Scholar
• UNFCCC. 2007. “Reducing Emissions from Deforestation in Developing Countries: Approaches to Stimulate Action.” FCCC/SBSTA/2007/L.23/Add.1/Rev.1. Accessed March 8, 2014. http://unfccc.int/resource/docs/2007/sbsta/eng/l23a01r01.pdf2007
   Google Scholar
• USGS. 2014. “Earth Resources Observation and Science (EROS) Center.” Reston, VA. Accessed September 11. http://eros.usgs.gov/
   Google Scholar
• Vapnik, V. 1998. Statistical Learning Theory. New York: John Wiley and Sons.
   Google Scholar
• Weng, Q., D. Lu, and J. Schubring. 2004. “Estimation of Land Surface Temperature–Vegetation Abundance Relationship for Urban Heat Island Studies.” Remote Sensing of Environment 89: 467–483. doi:10.1016/j.rse.2003.11.005.
   Web of Science ®Google Scholar