Articles | Volume 7, issue 1
https://doi.org/10.5194/essd-7-29-2015
https://doi.org/10.5194/essd-7-29-2015
Brief communication
 | 
12 Mar 2015
Brief communication |  | 12 Mar 2015

Mapping hydrological environments in central Amazonia: ground validation and surface model based on SRTM DEM data corrected for deforestation

G. M. Moulatlet, C. D. Rennó, F. R. C. Costa, T. Emilio, and J. Schietti

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Cited articles

Bispo, P. C., Valeriano, M. M., and Kuplich, T. M.: Relation of local geomorphometric variables with the vegetation of the Madeira-Purus interfluve (AM/RO), Acta Amazonica 39, 81–90, https://doi.org/10.1590/S0044-59672009000100008, 2009.
Brasil: Projeto Radambrasil. Folha SB.20 Purus; geologia, geomorfologia, pedologia, vegetação e uso potencial da terra, Mineral, D.N.P., Vol. 17, 566 pp., 1978.
Cintra, B. B. L., Schietti, J., Emillio, T., Martins, D., Moulatlet, G., Souza, P., Levis, C., Quesada, C. A., and Schöngart, J.: Soil physical restrictions and hydrology regulate stand age and wood biomass turnover rates of Purus–Madeira interfluvial wetlands in Amazonia, Biogeosciences, 10, 7759–7774, https://doi.org/10.5194/bg-10-7759-2013, 2013.
Gharari, S., Hrachowitz, M., Fenicia, F., and Savenije, H. H. G.: Hydrological landscape classification: investigating the performance of HAND based landscape classifications in a central European meso-scale catchment, Hydrol. Earth Syst. Sci., 15, 3275–3291, https://doi.org/10.5194/hess-15-3275-2011, 2011.
INPE (Instituto Nacional de Pesquisas Espaciais): Deforestation estimates in the Brazilian Amazon INPE, São José dos Campos, 2002, available at: http://www.obt.inpe.br/prodes/ (last access: 15 November 2013), 2002.
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Short summary
This work presents two data sets: a digital elevation model in which deforestation effects were minimized over a large area in Central Amazonia and a set of 18 topographic–hydrological descriptors calculated by the use of the Vertical Distance to the Nearest Drainage algorithm (HAND). We describe the methodology to generate and validate the data sets. Moreover, we present a brief discussion about the applicability of the data to fill the gap of environmental data in Amazonian lowland forests.