Articles | Volume 15, issue 5
https://doi.org/10.5194/hess-15-1493-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-15-1493-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
18 May 2011
Research article |
| 18 May 2011
Regional scale analysis of landform configuration with base-level (isobase) maps
C. H. Grohmann
Institute of Geosciences, University of São Paulo, São Paulo, SP, Brazil
C. Riccomini
Institute of Geosciences, University of São Paulo, São Paulo, SP, Brazil
M. A. C. Chamani
Institute of Geosciences, University of São Paulo, São Paulo, SP, Brazil
Related subject area
Subject: Rivers and Lakes | Techniques and Approaches: Remote Sensing and GIS
Deriving transmission losses in ephemeral rivers using satellite imagery and machine learning
Long-term water clarity patterns of lakes across China using Landsat series imagery from 1985 to 2020
Changes in glacial lakes in the Poiqu River basin in the central Himalayas
Assimilation of probabilistic flood maps from SAR data into a coupled hydrologic–hydraulic forecasting model: a proof of concept
A simple cloud-filling approach for remote sensing water cover assessments
Evaluation of historic and operational satellite radar altimetry missions for constructing consistent long-term lake water level records
Sentinel-3 radar altimetry for river monitoring – a catchment-scale evaluation of satellite water surface elevation from Sentinel-3A and Sentinel-3B
Assessing the capabilities of the Surface Water and Ocean Topography (SWOT) mission for large lake water surface elevation monitoring under different wind conditions
Assimilation of wide-swath altimetry water elevation anomalies to correct large-scale river routing model parameters
Technical Note: Flow velocity and discharge measurement in rivers using terrestrial and unmanned-aerial-vehicle imagery
River-ice and water velocities using the Planet optical cubesat constellation
Exposure of tourism development to salt karst hazards along the Jordanian Dead Sea shore
A global lake and reservoir volume analysis using a surface water dataset and satellite altimetry
Surface water monitoring in small water bodies: potential and limits of multi-sensor Landsat time series
Technical note: Bathymetry observations of inland water bodies using a tethered single-beam sonar controlled by an unmanned aerial vehicle
Satellite-derived light extinction coefficient and its impact on thermal structure simulations in a 1-D lake model
Observing river stages using unmanned aerial vehicles
Quantification of the contribution of the Beauce groundwater aquifer to the discharge of the Loire River using thermal infrared satellite imaging
Swath-altimetry measurements of the main stem Amazon River: measurement errors and hydraulic implications
Satellite radar altimetry for monitoring small rivers and lakes in Indonesia
Quantifying river form variations in the Mississippi Basin using remotely sensed imagery
River ice flux and water velocities along a 600 km-long reach of Lena River, Siberia, from satellite stereo
Geometric dependency of Tibetan lakes on glacial runoff
Assessing the potential hydrological impact of the Gibe III Dam on Lake Turkana water level using multi-source satellite data
River monitoring from satellite radar altimetry in the Zambezi River basin
Flood occurrence mapping of the middle Mahakam lowland area using satellite radar
Satellite remote sensing of water turbidity in Alqueva reservoir and implications on lake modelling
Hydro-physical processes at the plunge point: an analysis using satellite and in situ data
Reconstructing the Tropical Storm Ketsana flood event in Marikina River, Philippines
Reading the bed morphology of a mountain stream: a geomorphometric study on high-resolution topographic data
Antoine Di Ciacca, Scott Wilson, Jasmine Kang, and Thomas Wöhling
Hydrol. Earth Syst. Sci., 27, 703–722, https://doi.org/10.5194/hess-27-703-2023, https://doi.org/10.5194/hess-27-703-2023, 2023
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We present a novel framework to estimate how much water is lost by ephemeral rivers using satellite imagery and machine learning. This framework proved to be an efficient approach, requiring less fieldwork and generating more data than traditional methods, at a similar accuracy. Furthermore, applying this framework improved our understanding of the water transfer at our study site. Our framework is easily transferable to other ephemeral rivers and could be applied to long time series.
Xidong Chen, Liangyun Liu, Xiao Zhang, Junsheng Li, Shenglei Wang, Yuan Gao, and Jun Mi
Hydrol. Earth Syst. Sci., 26, 3517–3536, https://doi.org/10.5194/hess-26-3517-2022, https://doi.org/10.5194/hess-26-3517-2022, 2022
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A 30 m LAke Water Secchi Depth (LAWSD30) dataset of China was first developed for 1985–2020, and national-scale water clarity estimations of lakes in China over the past 35 years were analyzed. Lake clarity in China exhibited a significant downward trend before the 21st century, but improved after 2000. The developed LAWSD30 dataset and the evaluation results can provide effective guidance for water preservation and restoration.
Pengcheng Su, Jingjing Liu, Yong Li, Wei Liu, Yang Wang, Chun Ma, and Qimin Li
Hydrol. Earth Syst. Sci., 25, 5879–5903, https://doi.org/10.5194/hess-25-5879-2021, https://doi.org/10.5194/hess-25-5879-2021, 2021
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We identified ± 150 glacial lakes in the Poiqu River basin (central Himalayas), and we explore the changes in five lakes over the last few decades based on remote sensing images, field surveys, and satellite photos. We reconstruct the lake basin topography, calculate the water capacity, and propose a water balance equation (WBE) to explain glacial lake evolution in response to local weather conditions. The WBE also provides a framework for the water balance in rivers from glacierized sources.
Concetta Di Mauro, Renaud Hostache, Patrick Matgen, Ramona Pelich, Marco Chini, Peter Jan van Leeuwen, Nancy K. Nichols, and Günter Blöschl
Hydrol. Earth Syst. Sci., 25, 4081–4097, https://doi.org/10.5194/hess-25-4081-2021, https://doi.org/10.5194/hess-25-4081-2021, 2021
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This study evaluates how the sequential assimilation of flood extent derived from synthetic aperture radar data can help improve flood forecasting. In particular, we carried out twin experiments based on a synthetically generated dataset with controlled uncertainty. Our empirical results demonstrate the efficiency of the proposed data assimilation framework, as forecasting errors are substantially reduced as a result of the assimilation.
Connor Mullen, Gopal Penny, and Marc F. Müller
Hydrol. Earth Syst. Sci., 25, 2373–2386, https://doi.org/10.5194/hess-25-2373-2021, https://doi.org/10.5194/hess-25-2373-2021, 2021
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The level of lake water is rapidly changing globally, and long-term, consistent observations of lake water extents are essential for ascertaining and attributing these changes. These data are rarely collected and challenging to obtain from satellite imagery. The proposed method addresses these challenges without any local data, and it was successfully validated against lakes with and without ground data. The algorithm is a valuable tool for the reliable historical water extent of changing lakes.
Song Shu, Hongxing Liu, Richard A. Beck, Frédéric Frappart, Johanna Korhonen, Minxuan Lan, Min Xu, Bo Yang, and Yan Huang
Hydrol. Earth Syst. Sci., 25, 1643–1670, https://doi.org/10.5194/hess-25-1643-2021, https://doi.org/10.5194/hess-25-1643-2021, 2021
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This study comprehensively evaluated 11 satellite radar altimetry missions (including their official retrackers) for lake water level retrieval and developed a strategy for constructing consistent long-term water level records for inland lakes. It is a two-step bias correction and normalization procedure. First, we use Jason-2 as the initial reference to form a consistent TOPEX/Poseidon–Jason series. Then, we use this as the reference to remove the biases with other radar altimetry missions.
Cecile M. M. Kittel, Liguang Jiang, Christian Tøttrup, and Peter Bauer-Gottwein
Hydrol. Earth Syst. Sci., 25, 333–357, https://doi.org/10.5194/hess-25-333-2021, https://doi.org/10.5194/hess-25-333-2021, 2021
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In poorly instrumented catchments, satellite altimetry offers a unique possibility to obtain water level observations. Improvements in instrument design have increased the capabilities of altimeters to observe inland water bodies, including rivers. In this study, we demonstrate how a dense Sentinel-3 water surface elevation monitoring network can be established at catchment scale using publicly accessible processing platforms. The network can serve as a useful supplement to ground observations.
Jean Bergeron, Gabriela Siles, Robert Leconte, Mélanie Trudel, Damien Desroches, and Daniel L. Peters
Hydrol. Earth Syst. Sci., 24, 5985–6000, https://doi.org/10.5194/hess-24-5985-2020, https://doi.org/10.5194/hess-24-5985-2020, 2020
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We want to assess how well the Surface Water and Ocean Topography (SWOT) satellite mission will be able to provide information on lake surface water elevation and how much of an impact wind conditions (speed and direction) can have on these retrievals.
Charlotte Marie Emery, Sylvain Biancamaria, Aaron Boone, Sophie Ricci, Mélanie C. Rochoux, Vanessa Pedinotti, and Cédric H. David
Hydrol. Earth Syst. Sci., 24, 2207–2233, https://doi.org/10.5194/hess-24-2207-2020, https://doi.org/10.5194/hess-24-2207-2020, 2020
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The flow of freshwater in rivers is commonly studied with computer programs known as hydrological models. An important component of those programs lies in the description of the river environment, such as the channel resistance to the flow, that is critical to accurately predict the river flow but is still not well known. Satellite data can be combined with models to enrich our knowledge of these features. Here, we show that the coming SWOT mission can help better know this channel resistance.
Anette Eltner, Hannes Sardemann, and Jens Grundmann
Hydrol. Earth Syst. Sci., 24, 1429–1445, https://doi.org/10.5194/hess-24-1429-2020, https://doi.org/10.5194/hess-24-1429-2020, 2020
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An automatic workflow is introduced to measure surface flow velocities in rivers. The provided tool enables the measurement of spatially distributed surface flow velocities independently of the image acquisition perspective. Furthermore, the study illustrates how river discharge in previously ungauged and unmeasured regions can be retrieved, considering the image-based flow velocities and digital elevation models of the studied river reach reconstructed with UAV photogrammetry.
Andreas Kääb, Bas Altena, and Joseph Mascaro
Hydrol. Earth Syst. Sci., 23, 4233–4247, https://doi.org/10.5194/hess-23-4233-2019, https://doi.org/10.5194/hess-23-4233-2019, 2019
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Knowledge of water surface velocities in rivers is useful for understanding a wide range of processes and systems, but is difficult to measure over large reaches. Here, we present a novel method to exploit near-simultaneous imagery produced by the Planet cubesat constellation to track river ice floes and estimate water surface velocities. We demonstrate the method for a 60 km long reach of the Amur River and a 200 km long reach of the Yukon River.
Najib Abou Karaki, Simone Fiaschi, Killian Paenen, Mohammad Al-Awabdeh, and Damien Closson
Hydrol. Earth Syst. Sci., 23, 2111–2127, https://doi.org/10.5194/hess-23-2111-2019, https://doi.org/10.5194/hess-23-2111-2019, 2019
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The Dead Sea shore is a unique salt karst system. Development began in the 1960s, when the water resources that used to feed the Dead Sea were diverted. The water level is falling at more than 1 m yr−1, causing a hydrostatic disequilibrium between the underground fresh water and the base level. Despite these conditions, tourism development projects have flourished. Here, we show that a 10 km long strip of coast that encompasses several resorts is exposed to subsidence, sinkholes and landslides.
Tim Busker, Ad de Roo, Emiliano Gelati, Christian Schwatke, Marko Adamovic, Berny Bisselink, Jean-Francois Pekel, and Andrew Cottam
Hydrol. Earth Syst. Sci., 23, 669–690, https://doi.org/10.5194/hess-23-669-2019, https://doi.org/10.5194/hess-23-669-2019, 2019
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This paper estimates lake and reservoir volume variations over all continents from 1984 to 2015 using remote sensing alone. This study improves on previous methodologies by using the Global Surface Water dataset developed by the Joint Research Centre, which allowed for volume calculations on a global scale, a high resolution (30 m) and back to 1984 using very detailed lake area dynamics. Using 18 in situ volume time series as validation, our volume estimates showed a high accuracy.
Andrew Ogilvie, Gilles Belaud, Sylvain Massuel, Mark Mulligan, Patrick Le Goulven, and Roger Calvez
Hydrol. Earth Syst. Sci., 22, 4349–4380, https://doi.org/10.5194/hess-22-4349-2018, https://doi.org/10.5194/hess-22-4349-2018, 2018
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Accurate monitoring of surface water extent is essential for hydrological investigation of small lakes (1–10 ha), which supports millions of smallholder farmers. Landsat monitoring of long-term surface water dynamics is shown to be suited to lakes over 3 ha based on extensive hydrometric data from seven field sites over 15 years. MNDWI water classification optimized here for the specificities of small water bodies reduced mean surface area errors by 57 % compared to published global datasets.
Filippo Bandini, Daniel Olesen, Jakob Jakobsen, Cecile Marie Margaretha Kittel, Sheng Wang, Monica Garcia, and Peter Bauer-Gottwein
Hydrol. Earth Syst. Sci., 22, 4165–4181, https://doi.org/10.5194/hess-22-4165-2018, https://doi.org/10.5194/hess-22-4165-2018, 2018
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Water depth observations are essential data to forecast flood hazard, predict sediment transport, or monitor in-stream habitats. We retrieved bathymetry with a sonar wired to a drone. This system can improve the speed and spatial scale at which water depth observations are retrieved. Observations can be retrieved also in unnavigable or inaccessible rivers. Water depth observations showed an accuracy of ca. 2.1 % of actual depth, without being affected by water turbidity or bed material.
Kiana Zolfaghari, Claude R. Duguay, and Homa Kheyrollah Pour
Hydrol. Earth Syst. Sci., 21, 377–391, https://doi.org/10.5194/hess-21-377-2017, https://doi.org/10.5194/hess-21-377-2017, 2017
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A remotely-sensed water clarity value (Kd) was applied to improve FLake model simulations of Lake Erie thermal structure using a time-invariant (constant) annual value as well as monthly values of Kd. The sensitivity of FLake model to Kd values was studied. It was shown that the model is very sensitive to variations in Kd when the value is less than 0.5 m-1.
Tomasz Niedzielski, Matylda Witek, and Waldemar Spallek
Hydrol. Earth Syst. Sci., 20, 3193–3205, https://doi.org/10.5194/hess-20-3193-2016, https://doi.org/10.5194/hess-20-3193-2016, 2016
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We study detectability of changes in water surface areas on orthophotomaps. We use unmanned aerial vehicles to acquire visible light photographs. We offer a new method for detecting changes in water surface areas and river stages. The approach is based on the application of the Student's t test, in asymptotic and bootstrapped versions. We test our approach on aerial photos taken during 3-year observational campaign. We detect transitions between all characteristic river stages using drone data.
E. Lalot, F. Curie, V. Wawrzyniak, F. Baratelli, S. Schomburgk, N. Flipo, H. Piegay, and F. Moatar
Hydrol. Earth Syst. Sci., 19, 4479–4492, https://doi.org/10.5194/hess-19-4479-2015, https://doi.org/10.5194/hess-19-4479-2015, 2015
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This work shows that satellite thermal infrared images (LANDSAT) can be used to locate and quantify groundwater discharge into a large river (Loire River, France - 100 to 300 m wide). Groundwater discharge rate is found to be highly variable with time and space and maximum during flow recession periods and in winter. The main identified groundwater discharge area into the Loire River corresponds to a known discharge area of the Beauce aquifer.
M. D. Wilson, M. Durand, H. C. Jung, and D. Alsdorf
Hydrol. Earth Syst. Sci., 19, 1943–1959, https://doi.org/10.5194/hess-19-1943-2015, https://doi.org/10.5194/hess-19-1943-2015, 2015
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We use a virtual mission analysis on a ca. 260km reach of the central Amazon River to assess the hydraulic implications of potential measurement errors in swath-altimetry imagery from the forthcoming Surface Water and Ocean Topography (SWOT) satellite mission. We estimated water surface slope from imagery of water heights and then derived channel discharge. Errors in estimated discharge were lowest when using longer reach lengths and channel cross-sectional averaging to estimate water slopes.
Y. B. Sulistioadi, K.-H. Tseng, C. K. Shum, H. Hidayat, M. Sumaryono, A. Suhardiman, F. Setiawan, and S. Sunarso
Hydrol. Earth Syst. Sci., 19, 341–359, https://doi.org/10.5194/hess-19-341-2015, https://doi.org/10.5194/hess-19-341-2015, 2015
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This paper investigates the possibility of monitoring small water bodies through Envisat altimetry observation. A novel approach is introduced to identify qualified and non-qualified altimetry measurements by assessing the waveform shapes for each returned radar signal. This research indicates that small lakes (extent < 100 km2) and medium-sized rivers (e.g., 200--800 m in width) can be successfully monitored by satellite altimetry.
Z. F. Miller, T. M. Pavelsky, and G. H. Allen
Hydrol. Earth Syst. Sci., 18, 4883–4895, https://doi.org/10.5194/hess-18-4883-2014, https://doi.org/10.5194/hess-18-4883-2014, 2014
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Many previous studies have used stream gauge data to estimate patterns of river width and depth based on variations in river discharge. However, these relationships may not capture all of the actual variability in width and depth. We have instead mapped the widths of all of the rivers wider than 100 m (and many narrower) in the Mississippi Basin and then used them to also improve estimates of depth as well. Our results show width and depth variations not captured by power-law relationships.
A. Kääb, M. Lamare, and M. Abrams
Hydrol. Earth Syst. Sci., 17, 4671–4683, https://doi.org/10.5194/hess-17-4671-2013, https://doi.org/10.5194/hess-17-4671-2013, 2013
V. H. Phan, R. C. Lindenbergh, and M. Menenti
Hydrol. Earth Syst. Sci., 17, 4061–4077, https://doi.org/10.5194/hess-17-4061-2013, https://doi.org/10.5194/hess-17-4061-2013, 2013
N. M. Velpuri and G. B. Senay
Hydrol. Earth Syst. Sci., 16, 3561–3578, https://doi.org/10.5194/hess-16-3561-2012, https://doi.org/10.5194/hess-16-3561-2012, 2012
C. I. Michailovsky, S. McEnnis, P. A. M. Berry, R. Smith, and P. Bauer-Gottwein
Hydrol. Earth Syst. Sci., 16, 2181–2192, https://doi.org/10.5194/hess-16-2181-2012, https://doi.org/10.5194/hess-16-2181-2012, 2012
H. Hidayat, D. H. Hoekman, M. A. M. Vissers, and A. J. F. Hoitink
Hydrol. Earth Syst. Sci., 16, 1805–1816, https://doi.org/10.5194/hess-16-1805-2012, https://doi.org/10.5194/hess-16-1805-2012, 2012
M. Potes, M. J. Costa, and R. Salgado
Hydrol. Earth Syst. Sci., 16, 1623–1633, https://doi.org/10.5194/hess-16-1623-2012, https://doi.org/10.5194/hess-16-1623-2012, 2012
A. T. Assireu, E. Alcântara, E. M. L. M. Novo, F. Roland, F. S. Pacheco, J. L. Stech, and J. A. Lorenzzetti
Hydrol. Earth Syst. Sci., 15, 3689–3700, https://doi.org/10.5194/hess-15-3689-2011, https://doi.org/10.5194/hess-15-3689-2011, 2011
C. C. Abon, C. P. C. David, and N. E. B. Pellejera
Hydrol. Earth Syst. Sci., 15, 1283–1289, https://doi.org/10.5194/hess-15-1283-2011, https://doi.org/10.5194/hess-15-1283-2011, 2011
S. Trevisani, M. Cavalli, and L. Marchi
Hydrol. Earth Syst. Sci., 14, 393–405, https://doi.org/10.5194/hess-14-393-2010, https://doi.org/10.5194/hess-14-393-2010, 2010
Cited articles
Almeida Filho, R. and Paradella, W. R.: Estudo do Maci\c co Alcalino de Po\c cos de Caldas através de imagens Landsat com ênfase em mineraliza\c cões radioativas, Tech. rep., INPE (11/2-TPT/065), 1977.
Annaheim, H.: Studien zur Geomorphogenese der Südalpen zwischen St. Gotthard und Alpenrand, Geographica Helvetica, 1, 65–149, 1946.
Assumpção, M., Suárez, G., and Veloso, J. A.: Fault plane solutions of intraplate earthquakes in Brazil: some constraints on the regional stress field, Tectonophysics, 113, 283–293, 1985.
Assumpção, M., Marza, V., Barros, L., Chimpliganond, C., Soares, J. E., Carvalho, J., Caixeta, D., Amorim, A., and Cabral, E.: Reservoir-induced seismicity in Brazil, Pure Appl. Geophys., 159, 597–617, 2001.
Baulig, H.: Sur une méthode d'analyse altimétrique appliquée à la Bretagne, Bulletin de l'Association de Geographie Francaise, 10, 7–9, 1926.
Becker, J. J. and Sandwell, D. T.: SRTM30_PLUS: Data fusion of SRTM land topography with measured and estimated seafloor topography (Version 3.0), http://topex.ucsd.edu/WWW_html/srtm30_plus.html, last access: 9 April 2008, 2007.
Berry, J. K.: Justifiable interpolation, GIS World, 10, 2:34, 1997.
Chaplot, V., Darboux, F., Bourennane, H., Leguédois, S., Silvera, N., and Phachomphom, K.: Accuracy of interpolation techniques for the derivation of digital elevation models in relation to landform types and data density, Geomorphology, 77(1–2), 126–141, 2006.
Cordani, U. G., Brito Neves, B. B., Fuck, R. A., Porto, R., Thomaz-Filho, A., and Cunha, F. M. B.: Estudo preliminar de integra\c cão do Pré-Cambriano com os eventos tectônicos das bacias sedimentares brasileiras, Ciência-Técnica-Petróleo, 15, 1–70, 1984.
Costa, J. B. S., Bemerguy, R. L., Hasui, Y., Borges, M. S., Ferreira Jr., C. R. P., Bezerra, P. E. L., Costa, M. L., and Fernandes, J. M. G.: Neotectônica da região Amazônica: aspectos tectônicos, geomorfológicos e deposicionais, Geonomos, 4, 23–44, 1996.
Costa, J. B. S., Memerguy, R. L., Hasui, Y., and Borges, M. S.: Tectonics and paleogeography along the Amazon river, J. S. Am. Earth Sci., 14, 335–347, https://doi.org/10.1016/S0895-9811(01)00025-6, 2001.
CPRM: Geological Survey of Brazil - The Geological Map of Brazil – Scale 1:1 000 000, Magnetic Total Field Intensity Anomaly (IGRF corrected), 1 × 1 km grid, 2004.
Cunha, F. M. B.: Evolu\c cão paleozóica da Bacia do Parna\'iba e seu arcabouo tectônico, Master's thesis, Instituto de Geociências, Universidade Federal do Rio de Janeiro, Rio de Janeiro, 1986.
Davis, W. M.: Baselevel, grade and peneplain, J. Geol., 10, 77–111, 1902.
Dury, G. H.: Map interpretation, Arnold, London, 1952.
Ehlschlaeger, C. R.: Using the A$^{\rm T}$ Search Algorithm to Develop Hydrologic Models from Digital Elevation Data, in: International Geographic Information Systems (IGIS) Symposium '89, Baltimore, Proceedings, 275–281, 1989.
Farr, T. G., Rosen, P. A., Caro, E., Crippen, R., Duren, R., Hensley, S., Kobrick, M., Paller, M., Rodriguez, E., Roth, L., Seal, D., Shaffer, S., Shimada, J., Umland, J., Werner, M., Oskin, M., Burbank, D., and Alsdorf, D.: The Shuttle Radar Topography Mission, Review of Geophysics, 45, RG2004, https://doi.org/10.1029/2005RG000183, 2007.
Filosofov, V. P.: Brief guide to morphometric methods in search of tectonic structures, Saratov, Saratov Univ. Publ. House., 1960 (in Russian).
Filosofov, V. P.: Application of geomorphic methods in structural investigations, chap. Maps of isobases and residual relief, 43–52, NEDRA, Moskow, 1970 (in Russian).
Filosofov, V. P.: The basis of morphometric method in search of tectonic structures, Saratov, Saratov Univ. Publ. House., 1975 (in Russian).
FISRWG: Stream Corridor Restoration: Principles, Processes, and Practices, By the Federal Interagency Stream Restoration Working Group (15 Federal agencies of the US gov't), gPO Item No. 0120-A; SuDocs No. A 57.6/2:EN 3/PT.653. ISBN-0-934213-59-3., 1998.
Goés, A. M.: A Formação Poti (Carbon\'{i}fero Inferior) da Bacia do Parna\'{i}ba, Ph.D. thesis, Instituto de Geociências, Universidade de São Paulo, São Paulo., 1995.
Golts, S. and Rosenthal, E.: Morphotectonic Methods To Infer Groundwater Flow Under Conditions Of Scarce Hydrogeological Data-The Case Of Northern Arava, Israel, Hydrogeol. J., 1, 5–19, https://doi.org/10.1007/s100400050245, 1992.
Golts, S. and Rosenthal, E.: A morphotectonic map of the northern Arava in Israel, derived from isobase lines, Geomorphology, 7, 305–315, https://doi.org/10.1016/0169-555X(93)90060-F, 1993.
GRASS Development Team: Geographic Resources Analysis Support System (GRASS GIS) Software, Version 6.4.0, http://grass.osgeo.org, last access: 5 January 2010, 2009.
Grimaldi, S., Nardi, F., Di Benedetto, F., Istanbulluoglu, E., and bras, R. L.: A physically based method for removing pits in digital elevation models, Adv. Water Resour., 30, 2151–2158, https://doi.org/10.1016/j.advwatres.2006.11.016, 2007.
Grimaldi, S., Petroselli, A., Alonso, G., and Nardi, F.: Flow time estimation with variable velocity in ungauged basins, Adv. Water Resour., 33, 1216–1223, 10.1016/j.advwatres.2010.06.003, 2010.
Grohmann, C. H.: Morphometric analysis in Geographic Information Systems: applications of free software GRASS and R, Comput. Geosci., 30, 1055–1067, https://doi.org/10.1016/j.cageo.2004.08.002, 2004.
Grohmann, C. H., Riccomini, C., and Alves, F. M.: SRTM-based morphotectonic analysis of the Po\c cos de Caldas Alkaline Massif, southeastern Brazil, Comput. Geosci., 33, 10–19, https://doi.org/10.1016/j.cageo.2006.05.002, 2007.
Hack, J. T.: Interpretation of erosional topography in humid temperate regions, Am. J. Sci., 258-A, 80–97, 1960.
Hack, J. T.: Stream-profile analysis and stream-gradient index, US Geological Survey, J. Res., 1, 421–429, 1973.
Hiruma, S. T. and Riccomini, C.: Análise morfométrica em neotectônica: o exemplo do Planalto de Campos do Jordão, SP, Revista do Instituto Geológico, 20, 5–19, 1999.
Hofierka, J., Mitasova, H., Parajka, J., and Mitas, L.: Multivariate interpolation of precipitation using Regularized Spline with Tension, Transactions in GIS, 6, 135–150, 2002.
Holmgren, P.: Multiple flow direction algorithms for runoff modelling in grid based elevation models: An empirical evaluation, Hydrol. Process., 8, 327–334, https://doi.org/10.1002/hyp.3360080405, 1994.
Horton, R. E.: Erosional development of streams and their drainage basins: hydrophysical approach to quantitative morphology, Geol. Soc. Am. Bull., 56, 275–370, 1945.
Jaboyedoff, M., Baillifard, F., Couture, R., Locat, J., and Locat, P.: Toward preliminary hazard assessment using DEM topographic analysis and simple mechanic modeling, in: Landslides Evaluation and stabilization, edited by: Lacerda, W. A., Ehrlich, M., Fontoura, A. B., and Sayo, A., 191–197, Balkema, 2004.
Jaboyedoff, M., Couture, R., and Locat, P.: Structural analysis of Turtle Mountain (Alberta) using digital elevation model: Toward a progressive failure, Geomorphology, 103, 5–16, https://doi.org/10.1016/j.geomorph.2008.04.012, 2009.
Kegel, W.: Lineament-tektonik in Nordwest-Brasilien, Geol. Rundsch., 54, 1240–1260, 1965.
Kinner, D., Mitasova, H., Harmon, R., Toma, L., and Stallard, R.: The Rio Chagres: A Multidisciplinary Profile of a Tropical Watershed, chap. GIS-based Stream Network Analysis for The Chagres River Basin, Republic of Panama, 83–95, Springer/Kluwer, 2005.
Leverington, D. W., Teller, J. T., and Mann, J. D.: A GIS method for reconstruction of late Quaternary landscapes from isobase data and modern topography, Comput. Geosci., 28, 631–639, 2002.
Louis, H.: Der Reliefsockel als Gestaltungsmerkmal des Abtragungsreliefs, Stuttgarter Geographische Studien, 69, 65–70, 1957.
Mackin, J. H.: Concept of graded river, Bull. Geol. Soc. Am., 59, 463–512, 1948.
Marzoli, A., Renne, P. R., Piccirillo, E. M., Ernesto, M., Bellieni, G., and De Min, A.: Extensive 200-Million-Year-Old Continental Flood Basalts of the Central Atlantic Magmatic Province, Science, 284, 616–618, https://doi.org/10.1126/science.284.5414.616, 1999.
Meis, M. R. M., Miranda, L. H. G., and Fernandes, N. F.: Desnivelamentos de altitude como parâmetros para a compartimenta\c cão de relevo: bacia do médio-baixo Para\'{i}ba do Sul, in: Congresso Brasileiro de Geologia, XXXII, Salvador, SBG/BA, Anais, 4, 1489–1503, 1982.
Mitas, L. and Mitasova, H.: Spatial Interpolation, in: Geographical Information Systems: Principles, Techniques, Management and Applications, edited by: Longley, P., Goodchild, M. F., Maguire, D. J., and Rhind, D. W., Wiley, 481–492, 1999.
Mitasova, H. and Mitas, L.: Interpolation by regularized spline with tension:I Theory and implementation, Math. Geol., 25, 641–655, https://doi.org/10.1007/BF00893171, 1993.
Modenesi-Gauttieri, M. C., Hiruma, S. T., and Riccomini, C.: Morphotectonics of a high plateau on the northwestern flank of the Continental Rift of southeastern Brazil, Geomorphology, 43, 257–271, https://doi.org/10.1016/S0169-555X(01)00137-4, 2002.
Nardi, F., Grimaldi, S., Santini, M., Petroselli, A., and Ubertini, l.: Hydrogeomorphic properties of simulated drainage patterns using digital elevation models: the flat area issue, Hydrolog. Sci. J., 53, 1176–1193, https://doi.org/10.1623/hysj.53.6.1176, 2008.
Neteler, M. and Mitasova, H.: Open Source GIS : A GRASS GIS Approach, Third Edition (The International Series in Engineering and Computer Science), Vol. 773, Springer, New York, 2008.
Orlandini, S., Moretti, G., Franchini, M., Aldighieri, B., and Testa, B.: Path-based methods for the determination of nondispersive drainage directions in grid-based digital elevation models, Water Resour. Res., 39, 1144, https://doi.org/10.1029/2002WR001639, 2003.
Pannekoek, A. F.: Generalized contour maps, summit level maps and streamline surface mapas as geomorphological tools, Z. Geomorphol., 11, 169–182, 1967.
Penck, W.: Morphological analysis of landforms: a contribution to physical geology, (translated by Czech, H. and Boswell, K. C.), Macmillian, London, 1953.
Petersohn, E.: Nona rodada de licita\c cões - Bacia do Parna\'iba.[Brazil Round 9 – Parna\'iba Basin], Agência Nacional de Petróleo, Gás Natural e Biocombust\'iveis [Brazilian National Agency of Petroleum, Natural Gas and Biofuels], (available at: http://www.anp.gov.br/brnd/round9/round9/palestras/Parnaiba\C3%AAs).pdf), last access: 3 February 2010, 2007.
Powell, J. W.: Exploration of the Colorado River of the West and its tributaries. Explored in 1869, 1870, 1871, and 1872 under the direction of the secretary of the Smithsonian Institution, Government Printing Office, Washington, 1875.
Quirk, D. G.: Base profile: a unifying concept in alluvial sequence stratigraphy, in: High Resolution Sequence Stratigraphy: Innovations and Applications, edited by: Howell, J. A. and Aitken, J. F., 104, 37–49, Geol. Soc. Sp., 1996.
Ribeiro, A. C., Lima, F. C. T., Riccomini, C., and Menezes, N. A.: Fishes of the Atlantic Rainforest of Boracéia: testimonies of the Quaternary fault reactivation within a Neoproterozoic tectonic province in Southastern Brazil, Ichthyol. Explor. Fres., 17, 157–164, 2006.
Riccomini, C. and Assumpção, M.: Quaternary tectonics in Brazil, Episodes, 22, 221–225, 1999.
Sant'Anna, L. G., Schorscher, H. D., and Riccomini, C.: Cenozoic tectonics of the Fonseca Basin region, eastern Quadrilátero Ferr\'{i}fero, MG, Brazil, J. S. Am. Earth Sci., 10, 275–284, 1997.
Schobbenhaus, C. and Bellizzia, A.: Geological Map of South America, 1:5 000 000 (coord.), CGMW, CPRM, DNPM, Unesco, Bras\'{i}lia, 2001.
Schobbenhaus, C., Campos, D. A., Derze, G. R., and Asmus, H. E.: Mapa geológico do Brasil e da área oceânica adjacente incluindo depósitos minerais. Escala 1:2 500 000 (Geological map of Brazil and adjacent oceanic area, including mineral deposits. 1:2 500 000 scale), DNPM, Bras\'{i}lia., 1984.
Sklar, L. and Dietrich, W.: Rivers over rock: fluvial processes in bedrock channels, Geophysical Monograph, Vol. 107, Chap. River longitudinal profiles and bedrock incision models: Stream power and the influence of sediment supply, 237–260, American Geophysical Union, 1998.
Smith, M. and Wise, S.: Problems of bias in mapping linear landforms from satellite imagery, Int. J. Appl. Earth Obs., 9, 65–78, https://doi.org/10.1016/j.jag.2006.07.002, 2007.
Stewart, I. and Hancock, P.: What is a fault scarp?, Episodes, 61, 256–263, 1990.
Strahler, A. N.: Hypsometric (area-altitude) analysis of erosional topography, B. Geol. Soc. Am., 63, 1117–1142, 1952.
Tarboton, D. G. and Bras, R. L.: On the extraction of channel networks from digital elevation data, Hydrol. Process., 5, 81–100, 1991.
Tricart, J. and Cailleux, A.: Cours de Geomorphologie I: Geomorphologie Structurale, C. D. U. Paris, 0, 252, 1957.
Yilmaz, H. M.: The effect of interpolation methods in surface definition: an experimental study, Earth Surf. Proc. Land., 32, 1346–1361, 2007.
Yue, T. X., Du, Z. P., Song, D. J., and Gong, Y.: A new method of surface modeling and its application to DEM construction, Geomorphology, 91, 161–172, 2007.
Zuchiewicz, W.: Selected geomorphic method applied to neotectonic studies in the Northern Carpathians, Bulletin de l'Association fran\c caise pour l'étude du quaternaire, 26, 131–136, 1989.
Zuchiewicz, W. and Oaks, R.: Geomorphology and structure of the Bear River Range, north eastern Utah: a morphometric approach, Z. Geomorphol., Suppl.-Bd. 94, 41–55, 1993.
