Articles | Volume 16, issue 10
https://doi.org/10.5194/hess-16-3851-2012
© Author(s) 2012. 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-16-3851-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
29 Oct 2012
Research article |
| 29 Oct 2012
Quantifying the performance of automated GIS-based geomorphological approaches for riparian zone delineation using digital elevation models
D. Fernández
Environmental Hydraulics Institute "IH Cantabria", Universidad de Cantabria, PCTCAN, C/Isabel Torres 15, 39011 Santander, Spain
now at: Institute for Environmental Sciences, University Koblenz-Landau, Fortstrasse 7, 76829 Landau in der Pfalz, Germany
J. Barquín
Environmental Hydraulics Institute "IH Cantabria", Universidad de Cantabria, PCTCAN, C/Isabel Torres 15, 39011 Santander, Spain
M. Álvarez-Cabria
Environmental Hydraulics Institute "IH Cantabria", Universidad de Cantabria, PCTCAN, C/Isabel Torres 15, 39011 Santander, Spain
F. J. Peñas
Environmental Hydraulics Institute "IH Cantabria", Universidad de Cantabria, PCTCAN, C/Isabel Torres 15, 39011 Santander, Spain
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Subject: Ecohydrology | Techniques and Approaches: Remote Sensing and GIS
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The use of remote sensing to quantify wetland loss in the Choke Mountain range, Upper Blue Nile basin, Ethiopia
Matthias Forkel, Luisa Schmidt, Ruxandra-Maria Zotta, Wouter Dorigo, and Marta Yebra
Hydrol. Earth Syst. Sci., 27, 39–68, https://doi.org/10.5194/hess-27-39-2023, https://doi.org/10.5194/hess-27-39-2023, 2023
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The live fuel moisture content (LFMC) of vegetation canopies is a driver of wildfires. We investigate the relation between LFMC and passive microwave satellite observations of vegetation optical depth (VOD) and develop a method to estimate LFMC from VOD globally. Our global VOD-based estimates of LFMC can be used to investigate drought effects on vegetation and fire risks.
Sinan Li, Li Zhang, Jingfeng Xiao, Rui Ma, Xiangjun Tian, and Min Yan
Hydrol. Earth Syst. Sci., 26, 6311–6337, https://doi.org/10.5194/hess-26-6311-2022, https://doi.org/10.5194/hess-26-6311-2022, 2022
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Accurate estimation for global GPP and ET is important in climate change studies. In this study, the GLASS LAI, SMOS, and SMAP datasets were assimilated jointly and separately in a coupled model. The results show that the performance of joint assimilation for GPP and ET is better than that of separate assimilation. The joint assimilation in water-limited regions performed better than in humid regions, and the global assimilation results had higher accuracy than other products.
Peng Zhu and Jennifer Burney
Hydrol. Earth Syst. Sci., 26, 827–840, https://doi.org/10.5194/hess-26-827-2022, https://doi.org/10.5194/hess-26-827-2022, 2022
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Satellite data were used to disentangle water and heat stress alleviation due to irrigation. Our findings are as follows. (1) Irrigation-induced cooling was captured by satellite LST but air temperature failed. (2) Irrigation extended maize growing season duration, especially during grain filling. (3) Water and heat stress alleviation constitutes 65 % and 35 % of the irrigation benefit. (4) The crop model simulating canopy temperature better captures the irrigation benefit.
Bonan Li and Stephen P. Good
Hydrol. Earth Syst. Sci., 25, 5029–5045, https://doi.org/10.5194/hess-25-5029-2021, https://doi.org/10.5194/hess-25-5029-2021, 2021
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We found that satellite retrieved soil moisture has large uncertainty, with uncertainty caused by the algorithm being closely related to the satellite soil moisture quality. The information provided by the two main inputs is mainly redundant. Such redundant components and synergy components provided by two main inputs to the satellite soil moisture are related to how the satellite algorithm performs. The satellite remote sensing algorithms may be improved by performing such analysis.
Hailong Wang, Kai Duan, Bingjun Liu, and Xiaohong Chen
Hydrol. Earth Syst. Sci., 25, 4741–4758, https://doi.org/10.5194/hess-25-4741-2021, https://doi.org/10.5194/hess-25-4741-2021, 2021
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Using remote sensing and reanalysis data, we examined the relationships between vegetation development and water resource availability in a humid subtropical basin. We found overall increases in total water storage and surface greenness and vegetation production, and the changes were particularly profound in cropland-dominated regions. Correlation analysis implies water availability leads the variations in greenness and production, and irrigation may improve production during dry periods.
David N. Dralle, W. Jesse Hahm, K. Dana Chadwick, Erica McCormick, and Daniella M. Rempe
Hydrol. Earth Syst. Sci., 25, 2861–2867, https://doi.org/10.5194/hess-25-2861-2021, https://doi.org/10.5194/hess-25-2861-2021, 2021
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Root zone water storage capacity determines how much water can be stored belowground to support plants during periods without precipitation. Here, we develop a satellite remote sensing method to estimate this key variable at large scales that matter for management. Importantly, our method builds on previous approaches by accounting for snowpack, which may bias estimates from existing approaches. Ultimately, our method will improve large-scale understanding of plant access to subsurface water.
María P. González-Dugo, Xuelong Chen, Ana Andreu, Elisabet Carpintero, Pedro J. Gómez-Giraldez, Arnaud Carrara, and Zhongbo Su
Hydrol. Earth Syst. Sci., 25, 755–768, https://doi.org/10.5194/hess-25-755-2021, https://doi.org/10.5194/hess-25-755-2021, 2021
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Drought is a devastating natural hazard and difficult to define, detect and quantify. Global meteorological data and remote-sensing products present new opportunities to characterize drought in an objective way. In this paper, we applied the surface energy balance model SEBS to estimate monthly evapotranspiration (ET) from 2001 to 2018 over the dehesa area of the Iberian Peninsula. ET anomalies were used to identify the main drought events and analyze their impacts on dehesa vegetation.
Sheng Wang, Monica Garcia, Andreas Ibrom, and Peter Bauer-Gottwein
Hydrol. Earth Syst. Sci., 24, 3643–3661, https://doi.org/10.5194/hess-24-3643-2020, https://doi.org/10.5194/hess-24-3643-2020, 2020
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Remote sensing only provides snapshots of rapidly changing land surface variables; this limits its application for water resources and ecosystem management. To obtain continuous estimates of surface temperature, soil moisture, evapotranspiration, and ecosystem productivity, a simple and operational modelling scheme is presented. We demonstrate it with temporally sparse optical and thermal remote sensing data from an unmanned aerial system at a Danish bioenergy plantation eddy covariance site.
Jacob S. Diamond, Daniel L. McLaughlin, Robert A. Slesak, and Atticus Stovall
Hydrol. Earth Syst. Sci., 23, 5069–5088, https://doi.org/10.5194/hess-23-5069-2019, https://doi.org/10.5194/hess-23-5069-2019, 2019
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We found evidence for spatial patterning of soil elevation in forested wetlands that was well explained by hydrology. The patterns that we found were strongest at wetter sites, and were weakest at drier sites. When a site was wet, soil elevations typically only belonged to two groups: tall "hummocks" and low "hollows. The tall, hummock groups were spaced equally apart from each other and were a similar size. We believe this is evidence for a biota–hydrology feedback that creates hummocks.
John O'Connor, Maria J. Santos, Karin T. Rebel, and Stefan C. Dekker
Hydrol. Earth Syst. Sci., 23, 3917–3931, https://doi.org/10.5194/hess-23-3917-2019, https://doi.org/10.5194/hess-23-3917-2019, 2019
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The Amazon rainforest has undergone extensive land use change, which greatly reduces the rate of evapotranspiration. Forest with deep roots is replaced by agriculture with shallow roots. The difference in rooting depth can greatly reduce access to water, especially during the dry season. However, large areas of the Amazon have a sufficiently shallow water table that may provide access for agriculture. We used remote sensing observations to compare the impact of deep and shallow water tables.
Anne J. Hoek van Dijke, Kaniska Mallick, Adriaan J. Teuling, Martin Schlerf, Miriam Machwitz, Sibylle K. Hassler, Theresa Blume, and Martin Herold
Hydrol. Earth Syst. Sci., 23, 2077–2091, https://doi.org/10.5194/hess-23-2077-2019, https://doi.org/10.5194/hess-23-2077-2019, 2019
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Satellite images are often used to estimate land water fluxes over a larger area. In this study, we investigate the link between a well-known vegetation index derived from satellite data and sap velocity, in a temperate forest in Luxembourg. We show that the link between the vegetation index and transpiration is not constant. Therefore we suggest that the use of vegetation indices to predict transpiration should be limited to ecosystems and scales where the link has been confirmed.
Olanrewaju O. Abiodun, Huade Guan, Vincent E. A. Post, and Okke Batelaan
Hydrol. Earth Syst. Sci., 22, 2775–2794, https://doi.org/10.5194/hess-22-2775-2018, https://doi.org/10.5194/hess-22-2775-2018, 2018
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In recent decades, evapotranspiration estimation has been improved by remote sensing methods as well as by hydrological models. However, comparing these methods shows differences of up to 31 % at a spatial resolution of 1 km2. Land cover differences and catchment averaged climate data in the hydrological model were identified as the principal causes of the differences in results. The implication is that water management will have to deal with large uncertainty in estimated water balances.
Shoubo Li, Yan Zhao, Yongping Wei, and Hang Zheng
Hydrol. Earth Syst. Sci., 21, 4233–4244, https://doi.org/10.5194/hess-21-4233-2017, https://doi.org/10.5194/hess-21-4233-2017, 2017
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This study aims to investigate the evolution of natural and crop vegetation systems over the past 2000 years accommodated with the changes in water regimes at the basin scale. It is based on remote-sensing data and previous historical research. The methods developed and the findings obtained from this study could assist in understanding how current ecosystem problems were created in the past and what their implications for future river basin management are.
A. A. Harpold, J. A. Marshall, S. W. Lyon, T. B. Barnhart, B. A. Fisher, M. Donovan, K. M. Brubaker, C. J. Crosby, N. F. Glenn, C. L. Glennie, P. B. Kirchner, N. Lam, K. D. Mankoff, J. L. McCreight, N. P. Molotch, K. N. Musselman, J. Pelletier, T. Russo, H. Sangireddy, Y. Sjöberg, T. Swetnam, and N. West
Hydrol. Earth Syst. Sci., 19, 2881–2897, https://doi.org/10.5194/hess-19-2881-2015, https://doi.org/10.5194/hess-19-2881-2015, 2015
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This review's objective is to demonstrate the transformative potential of lidar by critically assessing both challenges and opportunities for transdisciplinary lidar applications in geomorphology, hydrology, and ecology. We find that using lidar to its full potential will require numerous advances, including more powerful open-source processing tools, new lidar acquisition technologies, and improved integration with physically based models and complementary observations.
Y. Wang, M. L. Roderick, Y. Shen, and F. Sun
Hydrol. Earth Syst. Sci., 18, 3499–3509, https://doi.org/10.5194/hess-18-3499-2014, https://doi.org/10.5194/hess-18-3499-2014, 2014
Y. Liu, Y. Zhou, W. Ju, J. Chen, S. Wang, H. He, H. Wang, D. Guan, F. Zhao, Y. Li, and Y. Hao
Hydrol. Earth Syst. Sci., 17, 4957–4980, https://doi.org/10.5194/hess-17-4957-2013, https://doi.org/10.5194/hess-17-4957-2013, 2013
M. Gokmen, Z. Vekerdy, W. Verhoef, and O. Batelaan
Hydrol. Earth Syst. Sci., 17, 3779–3794, https://doi.org/10.5194/hess-17-3779-2013, https://doi.org/10.5194/hess-17-3779-2013, 2013
H. Liu, F. Tian, H. C. Hu, H. P. Hu, and M. Sivapalan
Hydrol. Earth Syst. Sci., 17, 805–815, https://doi.org/10.5194/hess-17-805-2013, https://doi.org/10.5194/hess-17-805-2013, 2013
T. S. Ahring and D. R. Steward
Hydrol. Earth Syst. Sci., 16, 4133–4142, https://doi.org/10.5194/hess-16-4133-2012, https://doi.org/10.5194/hess-16-4133-2012, 2012
P. Sun, Z. Yu, S. Liu, X. Wei, J. Wang, N. Zegre, and N. Liu
Hydrol. Earth Syst. Sci., 16, 3835–3850, https://doi.org/10.5194/hess-16-3835-2012, https://doi.org/10.5194/hess-16-3835-2012, 2012
M. Otto, D. Scherer, and J. Richters
Hydrol. Earth Syst. Sci., 15, 1713–1727, https://doi.org/10.5194/hess-15-1713-2011, https://doi.org/10.5194/hess-15-1713-2011, 2011
C. Cammalleri, M. C. Anderson, G. Ciraolo, G. D'Urso, W. P. Kustas, G. La Loggia, and M. Minacapilli
Hydrol. Earth Syst. Sci., 14, 2643–2659, https://doi.org/10.5194/hess-14-2643-2010, https://doi.org/10.5194/hess-14-2643-2010, 2010
E. Teferi, S. Uhlenbrook, W. Bewket, J. Wenninger, and B. Simane
Hydrol. Earth Syst. Sci., 14, 2415–2428, https://doi.org/10.5194/hess-14-2415-2010, https://doi.org/10.5194/hess-14-2415-2010, 2010
Cited articles
Abood, S. and Maclean, A.: Modeling riparian zones utilizing DEMs, flood height data, digital soil data and wetland inventory via GIS, in: American Society of Photogrammetry and RemoteSensing (ASPRS) 2011 Annual Conference, edited by: ASPRS, Milwaukee, Wisconsin, 1–5 May 2011, 2011.
Amundsen, K. J.: Mapping Riparian Vegetation in the Lower Colorado River Using Low Resolution Satellite Imagery, Cleveland State University, USA, 2003.
Barquín, J., Ondiviela, B., Recio, M., Álvarez-Cabria, M., Peñas, F. J., Fernández, D., Gómez, A., Álvarez C., and Juanes, J. A.: Assessing the conservation status of alder-ash alluvial forest and Atlantic salmon in the Natura 2000 river network of Cantabria, Northern Spain, in: River Conservation and Management: 20 years on, edited by: Boon, P. J. and Raven, D. P. J., Wiley-Blackwell, Chichester, West Sussex, UK, 2012.
Benda, L., Poff, N. L., Miller, D., Dunne, T., Reeves, G., Pess, G., and Pollock, M.: The network dynamics hypothesis: how channel networks structure riverine habitats, Bioscience, 54, 413–427, 2004.
Benda, L., Miller, D., Andras, K., Bigelow, P., Reeves, G., and Michael, D.: NetMap: a new tool in support of watershed science and resource management, Forest Sci., 53, 206–219, 2007.
Benda, L., Miller, D., Lanigan, S., and Reeves, G.: Future of applied watershed science at regional scales, EOS T. Am. Geophys. Un., 90, p. 156, https://doi.org/10.1029/2009EO180005, 2009.
Benda, L., Miller, D., and Barqu\'{i}n, J.: Creating a catchment scale perspective for river restoration, Hydrol. Earth Syst. Sci., 15, 2995–3015, https://doi.org/10.5194/hess-15-2995-2011, 2011.
Bhowmik, N. G.: Hydraulic geometry of floodplains, J. Hydrol., 68, 369–374, 1984.
Clarke, S. E., Burnett, K. M., and Miller, D. J.: Modeling streams and hydrogeomorphic attributes in Oregon from digital and field data, J. Am. Water Resour. As., 44, 459–477, 2008.
Clerici, N., Weissteiner, C. J., Paracchini, M. L., and Strobl, P.: Riparian zones: where green and blue networks meet. Pan-European zonation modelling based on remote sensing and GIS, Joint Research Centre of the European Comission, Luxembourg, Technical Report, 60 pp., 2011.
Clerici, N., Weissteiner, C. J., Paracchini, M. L., Boschetti, L., Baraldi, A., and Strobl, P.: Pan-European distribution modelling of stream riparian zones based on multi-source Earth Observation data, Ecol. Indic., 24, 211–223, 2013.
Dodov, B. and Foufoula-Georgiou, E.: Generalized hydraulic geometry: Derivation based on multiscaling formalism, Water Resour. Res., 40, W06302, https://doi.org/10.1029/2003WR002082, 2004.
Dodov, B. and Foufoula-Georgiou, E.: Floodplain Morphometry Extraction From a High-Resolution Digital Elevation Model: A Simple Algorithm for Regional Analysis Studies, IEEE Geosci. Remote S., 3, 410–413, https://doi.org/10.1109/LGRS.2006.874161, 2006.
Environmental Systems Research Institute (ESRI): ArcGIS Desktop: Release 10, Environmental Systems Research Institute, Redlands, CA, USA, 2011.
Gregory, S. V., Swanson, F. J., McKee, W. A., and Cummins, K. W.: An ecosystem perspective of riparian zones, Bioscience, 41, 540–551, 1991.
Holmes, K. L. and Goebel, P. C.: A functional approach to riparian area delineation using geospatial methods, J. Forest, 109, 233–241, 2011.
Hruby, T.: Developing rapid methods for analyzing upland riparian functions and values, Environ. Manage., 43, 1219–1243, 2009.
Hupp, C. R. and Osterkamp, W. R.: Riparian vegetation and fluvial geomorphic processes, Geomorphology, 14, 277–295, 1996.
IH Cantabria: Desarrollo de la documentación técnica y cartográfica para la redacción del plan de protección civil ante el riesgo de inundaciones de la Comunidad Autónoma de Cantabria, Dirección General de Protección Civil, Consejería de Presidencia, Gobierno de Cantabria, Santander, Spain, Technical Report, 12 pp., 2008.
Ilhardt, B. L., Verry, E. S., and Palik, P. J.: Defining riparian areas, in: Riparian Management in Forests of the Continental Eastern United States, edited by: Verry, E. S., Hornbeck, J. W., and Dollof, C. A., Lewis Publishers, Boca Raton, Florida, USA, 2000.
Lara, F., Garilleti, R., and Calleja, J. A.: La vegetación de ribera de la mitad norte Española, Monografias, 81, p. 536, 2004.
Lindsay, J. B. and Creed, I. F.: Removal of artefact depressions from digital elevation models: towards a minimum impact approach, Hydrol. Process., 19, 3113–3126, 2005.
Mac Nally, R., Molyneux, G., Thomson, J. R., Lake, P. S., and Read, J.: Variation in widths of riparian-zone vegetation of higher-elevation streams and implications for conservation management, Plant Ecol., 198, 89–100, 2008.
Martz, L. W. and Garbrecht, J.: The treatment of flat areas and depressions in automated drainage analysis of raster digital elevation models, Hydrol. Process., 12, 843–855, 1998.
McGlynn, B. L. and Seibert, J.: Distributed assessment of contributing area and riparian buffering along stream networks, Water Resour. Res., 39, 1082, https://doi.org/10.1029/2002WR001521, 2003.
Merritt, D. M., Scott, M. L., Poff, N. L., Auble, G. T., and Lytle, D. A.: Theory, methods and tools for determining environmental flows for riparian vegetation: riparian vegetation-flow response guilds, Freshwater Biol., 55, 206–225, 2009.
Naiman, R. J., Décamps, H., and Pollock, M.: The role of riparian corridors in maintaining regional biodiversity, Ecol. Appl., 3, 209–212, 1993.
Naiman, R. J., Décamps, H., and McClain, M.: Riparia: Ecology, Conservation, and Management of Streamside Communities, Elsevier Academic Press, 448 pp., San Diego, California, USA, 2005.
Nardi, F., Vivoni, E. R., and Grimaldi, S.: Investigating a floodplain scaling relation using a hydrogeomorphic delineation method, Water Resour. Res., 42, W09409, https://doi.org/10.1029/2005WR004155, 2006.
Nardi, F., Grimaldi, S., Petroselli, A., Santini, M., and Ubertini, L.: Hydrogeomorphic properties of simulated drainage patterns using DEMs: the flat area issue, Hydrolog. Sci. J., 53, https://doi.org/10.1623/hysj.53.6.1176, 2008.
National Research Council (NRC), Committee on Riparian Zone Functioning and Strategies for Management: Riparian areas: functions and strategies for management, National Academy Press, Washington, DC, USA, 444 pp., 2002.
Naura, M., Sear, D., Álvarez-Cabria, M., Peñas, F. J., Fernández, D., and Barquín, J.: Integrating monitoring, expert knowledge and habitat management within conservation organisations for the delivery of the water framework directive: a proposed approach, Limnetica, 30, 427–446, 2011.
Noman, N. S., Nelson, E. J., and Zundel, A. K.: Review of automated floodplain delineation from digital terrain models, J. Water Res. Pl.-ASCE, 127, 394–402, 2001.
Osterkamp, W. R. and Hupp, C. R.: Fluvial processes and vegetation – glimpses of the past, the present, and perhaps the future, Geomorphology, 116, 274–285, 2010.
Palik, B. J., Tang, S. M., and Chavez, Q.: Estimating riparian area extent and land use in the Midwest, Gen. Tech. Rep. NC-248., Department of Agriculture, Forest Service, North Central Research Station, St. Paul, MN, 28 pp., 2004.
Perkins, D. W. and Hunter, M. L.: Use of amphibians to define riparian zones along headwater streams in Maine, Can. J. Forest Res., 36, 2124–2130, 2006.
Poff, B., Koestner, K. A., Neary, D. G., and Henderson, V.: Threats to riparian ecosystems in Western North America: an analysis of existing literature, J. Am. Water Resour. As., 47, 1241–1254, 2011.
Poole, G. C.: Fluvial landscape ecology: addressing uniqueness within the river discontinuum, Freshwater Biol., 47, 641–660, 2002.
R Development Core Team: A language and environment for statistical computing, Vienna, Austria, software 3-900051-07-0, 2008.
Rivas-Martínez, S., Penas, A., and Díaz, T. E.: Bioclimatic Map of Europe, in: Bioclimates, León University, Cartographic Service, León, Spain, 2004.
Rosgen, D. L.: Applied river morphology, Wildland Hydrology, Pagosa Springs, CO, USA, 1996.
Snelder, T., Pella, H., Wasson, J.-G., and Lamouroux, N.: Definition procedures have little effect on performance of environmental classifications of streams and rivers, Environ. Manage., 42, 771–788, 2008.
Staats, J. and Holtzman, S.: Keeping water on the land longer – Healthy streams through bringing people together, University of California Water Resources Center, Stevenson, WA, USA, 2002.
Sutula, M., Stein, E. D., and Inlander, E.: Evaluation of a method to cost-effectively map riparian areas in Southern California coastal watersheds, Technical Report 480, Southern California Coastal Water Research Project (SCCWRP), 2006.
Tabacchi, E., Correll, D. L., Hauer, R., Pinay, G., Planty-Tabacchi, A. M., and Wissmar, R. C.: Development, maintenance and role of riparian vegetation in the river landscape, Freshwater Biol., 40, 497–516, 1998.
Thorp, J. H., Thoms, M. C., and Delong, M. D.: The riverine ecosystem synthesis: biocomplexity in river networks across space and time, River Res. Appl., 22, 123–147, 2006.
US Army Corps of Engineers: Hydrologic Modeling System HEC-HMS, Technical Reference Manual, Hydrologic Engineering Center, Davis, CA, USA, 155 pp., 2000.
US Army Corps of Engineers: HEC-RAS river analysis system, Hydraulic Reference Manual ver. 3.1.3, 262 pp., Hydrologic Engineering Center, Davis, CA, USA, 2005.
US Department of Agriculture Forest Service (USDA FS): Watershed Protection and Management, Forest Service Manual Chapter 2520, 26 pp., 1994.
US Department of Agriculture Natural Resource Conservation Service (USDA NRCS): General Manual, 190-GM, part 411, US Department of Agriculture Natural Resource Conservation Service (USDA NRCS), Washington DC, USA, 1991.
Van Coller, A. L., Rogers, K. H., and Heritage, G. L.: Riparian vegetation – environment relationships: complimentarity of gradients versus patch hierarchy approaches, J. Veg. Sci., 11, 337–350, 2000.
Verry, E. S., Dolloff, C. A., and Manning, M. E.: Riparian ecotone: a functional definition and delineation for resource assessment, Water Air Soil Poll., 4, 67–94, 2004.
Wolman, M. G. and Leopold, L. B.: River flood plains: some observations on their formation, US Geol. Surv. Prof. Pap, 282-C, 86–109, 1957.
Yang, Q., Mc Vicar, T., Van Niel, T., Hutchinson, M., Li, L., and Zhang, X.: Improving a digital elevation model by reducing source data errors and optimising interpolation algorithm parameters: an example in the Loess Plateau, China, Int. J. Appl. Earth Obs., 9, 235–246, 2007.
