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Mapping Hydrological Environments in Central Amazonia: Ground Validation and Surface Model Based on Srtm Dem Data Corrected for Deforestation : Volume 7, Issue 1 (12/03/2015)

By Moulatlet, G. M.

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Book Id: WPLBN0004007583
Format Type: PDF Article :
File Size: Pages 6
Reproduction Date: 2015

Title: Mapping Hydrological Environments in Central Amazonia: Ground Validation and Surface Model Based on Srtm Dem Data Corrected for Deforestation : Volume 7, Issue 1 (12/03/2015)  
Author: Moulatlet, G. M.
Volume: Vol. 7, Issue 1
Language: English
Subject: Science, Earth, System
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Emilio, T., Moulatlet, G. M., C. Cost, F. R., Schietti, J., & Rennó, C. D. (2015). Mapping Hydrological Environments in Central Amazonia: Ground Validation and Surface Model Based on Srtm Dem Data Corrected for Deforestation : Volume 7, Issue 1 (12/03/2015). Retrieved from

Description: Department of Biology, University of Turku, Turku, Finland. One of the most important freely available digital elevation models (DEMs) for Amazonia is the one obtained by the Shuttle Radar Topography Mission (SRTM). However, since SRTM tends to represent the vegetation surface instead of the ground surface, the broad use of SRTM DEM as a framework for terrain description in Amazonia is hampered by the presence of deforested areas. We present here two data sets: (1) a deforestation-corrected SRTM DEM for the interfluve between the Purus and Madeira rivers, in central Amazonia, which passed through a careful identification of different environments and has deforestation features corrected by a new method of increasing pixel values of the DEM (Rennó, 2009); and (2) a set of 18 hydrological-topographic descriptors based on the corrected SRTM DEM. Deforestation features are related with the opening of an 800 km road in the central part of the interfluve and occupancy of its vicinity. We used topographic profiles from the pristine forest to the deforested feature to evaluate the recovery of the original canopy coverage by minimizing canopy height variation (corrections ranged from 1 to 38 m). The hydrological–topographic description was obtained by the Height Above the Nearest Drainage (HAND) algorithm, which normalizes the terrain elevation (above sea level) by the elevation of the nearest hydrologically connected drainage. The validation of the HAND data set was done by in situ hydrological description of 110 km of walking trails also available in this data set. The new SRTM DEM expands the applicability of SRTM data for landscape modelling; the data sets of hydrological features based on topographic modelling are undoubtedly appropriate for ecological modelling and an important contribution to environmental mapping of Amazonia. The deforestation-corrected SRTM DEM is available at; the polygons selected for deforestation correction are available at; the set of hydrological–topographic descriptors is available at; the environmental description of access trails is available at; and the limits of deforestation corrections and drainage validation are available at

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

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, doi: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, doi: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, doi: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: (last access: 15 November 2013), 2002.; Kellndorfer, J., Walker, W., Pierce, L., Dobson, C., Fites, J. A., Hunsaker, C., Vona, J., and Clutter, M.: Vegetation height estimation from Shuttle Radar Topography Mission and National Elevation Datasets, Remote Sens. Environ., 93, 339–358, doi:10.1016/j.rse.2004.07.017, 2004.; Martins, D. L., Schietti, J., Feldpausch, T. R., Luizão, F. L., Phillips, O. L., Andrade, A., Castilho, C. V., Laurance, S. G., Oliveira, A., Amaral, I. L., Toledo, J. J., Lugli, L. F., Pinto, J. L. P. V., Mendoza, E. M. O., and Quesada, C. A.: Soil-induced impacts on forest structure drive coarse woody debris stocks across central Amazonia, Plant Ecology & Diversity, 8, 229–241, doi:10.1080/17550874.2013.879942, 2014.; Moulatlet, G. M., Costa, F. R. C., Rennó, C. D., Emilio, T., and Schietti, J.: Local Hydrological Conditions Explain Floristic Composition in Lowland Amazonian Forests, Biotropica, 46, 395–403, doi:10.1111/btp.12117, 2014.; Nobre, A. D., Cuartas, L. A., Hodnett, M., Rennó, C. D., Rodrigues, G., Silveira, A., Waterloo, M., and Saleska, S.: Height Above the Nearest Drainage – a hydrologically relevant new terrain model, J. Hydrol., 404, 13–29, doi:10.1016/j.jhydrol.2011.03.051, 2011.; Pezzini, F. F., Melo, P. H .A., Oliveira, D. M. S., Amorim, R. X., Figueiredo, F. O. G., Drucker, D. P., Rodrigues, F. R. O., Zuquim, G., Emilio, T., Costa, F. R. C., Magnusson, W. E., Sampaio, A. F., Lima, A. P., Garcia, A. R. M., Manzatto, A. G., Nogueira, A., Costa, C. P., Barbosa, C. E. D. A., Castilho, C. B. C. V., Cunha, C. N., Freitas, C. G., Cavalcante, C. O., Brandão, D. O., Rodrigues, D. J., Santos, E. C. P. R., Baccaro, F. B., Ishida, F. Y., Carvalho, F. A., Moulatlet, G. M., Guillaumet, J. L. B., Pinto, J. L. P. V., Schietti, J., Vale, J. D., Belger, L., Verdade, L. M., Pansonato, M. P., Nascimento, M. T., Santos, M. C. V., Cunha, M. S., Arruda, R., Barbosa, R. I., Romero, R. L., Pansini, S., and Pimentel, T. P.: The Brazilian Program for Biodiversity Research (PPBio) Information System, Biodiversity & Ecology, 4, 265–274, doi:10.7809/b-e.00083, 2012.; Quesada, C. A., Lloyd, J., Anderson, L. O., Fyllas, N. M., Schwarz, M., and Czimcz


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