Articles | Volume 21, issue 7
https://doi.org/10.5194/hess-21-3579-2017
© Author(s) 2017. 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-21-3579-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Delineating wetland catchments and modeling hydrologic connectivity using lidar data and aerial imagery
Department of Geography, Binghamton University, State University of New York, Binghamton, NY 13902, USA
Charles R. Lane
US Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, 26 W. Martin Luther King Dr., Cincinnati, OH 45268, USA
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Charles R. Lane, Ellen D'Amico, Jay R. Christensen, Heather E. Golden, Qiusheng Wu, and Adnan Rajib
Earth Syst. Sci. Data, 15, 2927–2955, https://doi.org/10.5194/essd-15-2927-2023, https://doi.org/10.5194/essd-15-2927-2023, 2023
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Non-floodplain wetlands (NFWs) – wetlands located outside floodplains – confer watershed-scale resilience to hydrological, biogeochemical, and biotic disturbances. Although they are frequently unmapped, we identified ~ 33 million NFWs covering > 16 × 10 km2 across the globe. NFWs constitute the majority of the world's wetlands (53 %). Despite their small size (median 0.039 km2), these imperiled systems have an outsized impact on watershed functions and sustainability and require protection.
Xuecao Li, Yuyu Zhou, Lin Meng, Ghassem R. Asrar, Chaoqun Lu, and Qiusheng Wu
Earth Syst. Sci. Data, 11, 881–894, https://doi.org/10.5194/essd-11-881-2019, https://doi.org/10.5194/essd-11-881-2019, 2019
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We generated a long-term (1985–2015) and medium-resolution (30 m) product of phenology indicators in urban domains in the conterminous US using Landsat satellite observations. The derived phenology indicators agree well with in situ observations and provide more spatial details in complex urban areas compared to the existing coarse resolution phenology products (e.g., MODIS). The published data are of great use for urban phenology studies (e.g., pollen-induced respiratory allergies).
Melanie K. Vanderhoof, Peter Nieuwlandt, Heather E. Golden, Charles R. Lane, Jay R. Christensen, William Keenan, and Wayana Dolan
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-298, https://doi.org/10.5194/hess-2024-298, 2024
Preprint under review for HESS
Short summary
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Streamflow signatures can help characterize a watershed’s response to meteorological conditions. We explored if surface water storage-related variables, which are typically excluded from streamflow signature analyses, may help explain spatial variability in streamflow signatures. We found that remotely sensed surface water storage extent and duration were correlated with and explained a portion of the variability in many of the hydrologic signatures across the 72 streamflow gages.
Melanie K. Vanderhoof, Peter Nieuwlandt, Heather E. Golden, Charles R. Lane, Jay R. Christensen, Will Keenan, and Wayana Dolan
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-119, https://doi.org/10.5194/hess-2024-119, 2024
Manuscript not accepted for further review
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Streamflow signatures can help characterize a watershed’s response to rainfall and snowmelt events. We explored if surface water storage-related variables, which are typically excluded from streamflow signature analyses, may help explain the variability in streamflow signatures. We found that remotely sensed surface water storage watershed location and hydroperiod were correlated with or explained a portion of the variability in hydrologic signatures across 72 streamflow gages.
Charles R. Lane, Ellen D'Amico, Jay R. Christensen, Heather E. Golden, Qiusheng Wu, and Adnan Rajib
Earth Syst. Sci. Data, 15, 2927–2955, https://doi.org/10.5194/essd-15-2927-2023, https://doi.org/10.5194/essd-15-2927-2023, 2023
Short summary
Short summary
Non-floodplain wetlands (NFWs) – wetlands located outside floodplains – confer watershed-scale resilience to hydrological, biogeochemical, and biotic disturbances. Although they are frequently unmapped, we identified ~ 33 million NFWs covering > 16 × 10 km2 across the globe. NFWs constitute the majority of the world's wetlands (53 %). Despite their small size (median 0.039 km2), these imperiled systems have an outsized impact on watershed functions and sustainability and require protection.
Michael L. Wine, Heather E. Golden, Jay R. Christensen, Charles R. Lane, and Oleg Makhnin
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-423, https://doi.org/10.5194/hess-2020-423, 2020
Preprint withdrawn
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Mirroring a global water quality crisis, nitrogen concentrations in the Upper Mississippi River basin, USA regularly exceed levels considered safe for human consumption and aquatic exposure, particularly following fertilization in the spring. Counterfactual simulations suggest that restoring the historic distribution of wetlands would substantially reduce nitrogen concentrations, particularly when they are most elevated, in the spring. Results point to a tradeoff between food and water security.
Xuecao Li, Yuyu Zhou, Lin Meng, Ghassem R. Asrar, Chaoqun Lu, and Qiusheng Wu
Earth Syst. Sci. Data, 11, 881–894, https://doi.org/10.5194/essd-11-881-2019, https://doi.org/10.5194/essd-11-881-2019, 2019
Short summary
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We generated a long-term (1985–2015) and medium-resolution (30 m) product of phenology indicators in urban domains in the conterminous US using Landsat satellite observations. The derived phenology indicators agree well with in situ observations and provide more spatial details in complex urban areas compared to the existing coarse resolution phenology products (e.g., MODIS). The published data are of great use for urban phenology studies (e.g., pollen-induced respiratory allergies).
Melanie K. Vanderhoof, Charles R. Lane, Michael G. McManus, Laurie C. Alexander, and Jay R. Christensen
Hydrol. Earth Syst. Sci., 22, 1851–1873, https://doi.org/10.5194/hess-22-1851-2018, https://doi.org/10.5194/hess-22-1851-2018, 2018
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Effective monitoring and prediction of flood and drought events requires an improved understanding of surface water dynamics. We examined how the relationship between surface water extent, as mapped using Landsat imagery, and climate, is a function of landscape characteristics, using the Prairie Pothole Region and adjacent Northern Prairie in the United States as our study area. We found that at a landscape scale wetlands play a key role in informing how climate extremes influence surface water.
Related subject area
Subject: Hillslope hydrology | Techniques and Approaches: Remote Sensing and GIS
An objective approach for feature extraction: distribution analysis and statistical descriptors for scale choice and channel network identification
G. Sofia, P. Tarolli, F. Cazorzi, and G. Dalla Fontana
Hydrol. Earth Syst. Sci., 15, 1387–1402, https://doi.org/10.5194/hess-15-1387-2011, https://doi.org/10.5194/hess-15-1387-2011, 2011
Cited articles
Amado, A. A., Politano, M., Schilling, K., and Weber, L.: Investigating Hydrologic Connectivity of a Drained Prairie Pothole Region Wetland Complex using a Fully Integrated, Physically-Based Model, Wetlands, https://doi.org/10.1007/s13157-016-0800-5, in press, 2016.
Ameli, A. A. and Creed, I. F.: Quantifying hydrologic connectivity of wetlands to surface water systems, Hydrol. Earth Syst. Sci., 21, 1791–1808, https://doi.org/10.5194/hess-21-1791-2017, 2017.
Bengtson, M. L. and Padmanabhan, G.: A hydrologic model for assessing the influence of wetlands on flood hydrographs in the Red River Basin: Development and application, North Dakota Water Resources Research Institute, North Dakota State University, North Dakota, 1999.
Blume, T. and van Meerveld, H. J.: From hillslope to stream: methods to investigate subsurface connectivity, Wiley Interdiscipl. Rev.: Water, 2, 177–198, https://doi.org/10.1002/wat2.1071, 2015.
Brunner, P. and Simmons, C. T.: HydroGeoSphere: A Fully Integrated, Physically Based Hydrological Model, Ground Water, 50, 170–176, https://doi.org/10.1111/j.1745-6584.2011.00882.x, 2012.
Chu, X.: Delineation of Pothole-Dominated Wetlands and Modeling of Their Threshold Behaviors, J. Hydrol. Eng., 22, D5015003, https://doi.org/10.1061/(ASCE)HE.1943-5584.0001224, 2015.
Cohen, M. J., Creed, I. F., Alexander, L., Basu, N. B., Calhoun, A. J., Craft, C., D'Amico, E., DeKeyser, E., Fowler, L., and Golden, H. E.: Do geographically isolated wetlands influence landscape functions?, P. Natl. Acad. Sci. USA, 113, 1978–1986, 2016.
Cowardin, L. M., Carter, V., Golet, F. C., and LaRoe, E. T.: Classification of wetlands and deepwater habitats of the United States, US Department of the Interior, Fish and Wildlife Service, Washington, D.C., 1979.
Dahl, T. E.: Wetlands losses in the United States, 1780's to 1980's. Report to the Congress, US Department of the Interior, Fish and Wildlife Service, Washington, D.C., 1990.
Dahl, T. E.: Status and trends of prairie wetlands in the United States 1997 to 2009, US Department of the Interior, Fish and Wildlife Service, Ecological Services, Washington, D.C., 2014.
Evenson, G. R., Golden, H. E., Lane, C. R., and D'Amico, E.: Geographically isolated wetlands and watershed hydrology: A modified model analysis, J. Hydrol., 529, 240–256, https://doi.org/10.1016/j.jhydrol.2015.07.039, 2015.
Evenson, G. R., Golden, H. E., Lane, C. R., and D'Amico, E.: An improved representation of geographically isolated wetlands in a watershed-scale hydrologic model, Hydrol. Process., 30, 4168–4184, https://doi.org/10.1002/hyp.10930, 2016.
Gallant, A.: The Challenges of Remote Monitoring of Wetlands, Remote Sensing, 7, 10938–10950, https://doi.org/10.3390/rs70810938, 2015.
Gleason, R. A., Tangen, B. A., Laubhan, M. K., Kermes, K. E., and Euliss Jr., N. H.: Estimating water storage capacity of existing and potentially restorable wetland depressions in a subbasin of the Red River of the North, US Geological Survey Open-File Report 2007-1159, US Geological Survey, Reston, Virginia, 36 pp., 2007.
Gleason, R. A., Laubhan, M. K., Tangen, B. A., and Kermes, K. E.: Ecosystem services derived from wetland conservation practices in the United States Prairie Pothole Region with an emphasis on the US Department of Agriculture Conservation Reserve and Wetlands Reserve Programs, US Geological Survey, Reston, Virginia, 2008.
Golden, H. E., Lane, C. R., Amatya, D. M., Bandilla, K. W., Kiperwas, H. R., Knightes, C. D., and Ssegane, H.: Hydrologic connectivity between geographically isolated wetlands and surface water systems: A review of select modeling methods, Environ. Model. Softw., 53, 190–206, https://doi.org/10.1016/j.envsoft.2013.12.004, 2014.
Golden, H. E., Creed, I., Ali, G., Basu, N., Neff, B., Rains, M., McLaughlin, D., Alexander, L., Ameli, A., Christensen, J., Evenson, G., Jones, C., Lane, C., and Lang, M.: Scientific tools for integrating geographically isolated wetlands into land management decisions, Front. Ecol. Environ., https://doi.org/10.1002/fee.1504, in press, 2017.
Hayashi, M. and Van der Kamp, G.: Simple equations to represent the volume–area–depth relations of shallow wetlands in small topographic depressions, J. Hydrol., 237, 74–85, 2000.
Hayashi, M., van der Kamp, G., and Rudolph, D. L.: Water and solute transfer between a prairie wetland and adjacent uplands, 1. Water balance, J. Hydrol., 207, 42–55, https://doi.org/10.1016/S0022-1694(98)00098-5, 1998.
Hayashi, M., van der Kamp, G., and Rosenberry, D. O.: Hydrology of Prairie Wetlands: Understanding the Integrated Surface-Water and Groundwater Processes, Wetlands, 36, 237–254, https://doi.org/10.1007/s13157-016-0797-9, 2016.
Huang, C., Peng, Y., Lang, M., Yeo, I. Y., and McCarty, G.: Wetland inundation mapping and change monitoring using Landsat and airborne LiDAR data, Remote Sens. Environ., 141, 231–242, 2014.
Huang, S., Dahal, D., Young, C., Chander, G., and Liu, S.: Integration of Palmer Drought Severity Index and remote sensing data to simulate wetland water surface from 1910 to 2009 in Cottonwood Lake area, North Dakota, Remote Sens. Environ., 115, 3377–3389, 2011a.
Huang, S., Young, C., Feng, M., Heidemann, K., Cushing, M., Mushet, D. M., and Liu, S.: Demonstration of a conceptual model for using LiDAR to improve the estimation of floodwater mitigation potential of Prairie Pothole Region wetlands, J. Hydrol., 405, 417–426, 2011b.
Hubbard, D. E. and Linder, R. L.: Spring runoff retention in prairie pothole wetlands, J. Soil Water Conserv., 41, 122–125, 1986.
Jin, S., Yang, L., Danielson, P., Homer, C., Fry, J., and Xian, G.: A comprehensive change detection method for updating the national land cover database to circa 2011, Remote Sens. Environ., 132, 159–175, 2013.
Johnston, C. A.: Wetland losses due to row crop expansion in the dakota prairie pothole region, Wetlands, 33, 175–182, https://doi.org/10.1007/s13157-012-0365-x, 2013.
Keddy, P. A.: Wetland ecology: principles and conservation, Cambridge University Press, Cambridge, 2010.
Klemas, V.: Remote sensing of wetlands: case studies comparing practical techniques, J. Coast. Res., 27, 418–427, 2011.
Kweon, I. S. and Kanade, T.: Extracting topographic terrain features from elevation maps, CVGIP: Image Understanding, 59, 171–182, https://doi.org/10.1006/ciun.1994.1011, 1994.
Lane, C. R. and D'Amico, E.: Identification of Putative Geographically Isolated Wetlands of the Conterminous United States, J. Am. Water Resour. Ass., 52, 705–722, https://doi.org/10.1111/1752-1688.12421, 2016.
Lang, M. and McCarty, G.: Lidar intensity for improved detection of inundation below the forest canopy, Wetlands, 29, 1166–1178, https://doi.org/10.1672/08-197.1, 2009.
Lindsay, J. B. and Creed, I. F.: Distinguishing actual and artefact depressions in digital elevation data, Comput. Geosci., 32, 1192–1204, https://doi.org/10.1016/j.cageo.2005.11.002, 2006.
McCauley, L. and Anteau, M.: Generating Nested Wetland Catchments with Readily-Available Digital Elevation Data May Improve Evaluations of Land-Use Change on Wetlands, Wetlands, 34, 1123–1132, https://doi.org/10.1007/s13157-014-0571-9, 2014.
Metz, M., Mitasova, H., and Harmon, R. S.: Efficient extraction of drainage networks from massive, radar-based elevation models with least cost path search, Hydrol. Earth Syst. Sci., 15, 667–678, https://doi.org/10.5194/hess-15-667-2011, 2011.
Miller, M. W. and Nudds, T. D.: Prairie landscape change and flooding in the Mississippi River Valley, Conserv. Biol., 10, 847–853, 1996.
Minke, A. G. N.: Estimating water storage of prairie pothole wetlands, University of Saskatchewan, Saskatchewan, 2009.
Mushet, D. M. and Euliss, N. H.: The Cottonwood Lake study area, a long-term wetland ecosystem monitoring site, US Geological Survey 2327-6932, US Geological Survey, Reston, Virginia, 2012.
Mushet, D. M., Calhoun, A. J., Alexander, L. C., Cohen, M. J., DeKeyser, E. S., Fowler, L., Lane, C. R., Lang, M. W., Rains, M. C., and Walls, S. C.: Geographically isolated wetlands: rethinking a misnomer, Wetlands, 35, 423–431, 2015.
O'Callaghan, J. F. and Mark, D. M.: The extraction of drainage networks from digital elevation data, Comput. Vis. Graph. Image Process., 28, 323–344, 1984.
Oslund, F. T., Johnson, R. R., and Hertel, D. R.: Assessing Wetland Changes in the Prairie Pothole Region of Minnesota From 1980 to 2007, J. Fish Wildlife Manage., 1, 131–135, https://doi.org/10.3996/122009-JFWM-027, 2010.
Rover, J. and Mushet, D. M.: 16 Mapping Wetlands and Surface Water in the Prairie Pothole Region of North America, Remote Sens. Wetlands: Appl. Adv., 347, 347–368, 2015.
Shaw, D. A., Vanderkamp, G., Conly, F. M., Pietroniro, A., and Martz, L.: The fill–spill hydrology of Prairie wetland complexes during drought and deluge, Hydrol. Process., 26, 3147–3156, 2012.
Shaw, D. A., Pietroniro, A., and Martz, L.: Topographic analysis for the prairie pothole region of Western Canada, Hydrol. Process., 27, 3105–3114, 2013.
Sloan, C. E.: Ground-water hydrology of prairie potholes in North Dakota, Professional Paper 585-C, US Government Printing Office, Washington, D.C., USA, 1972.
Stanislawski, L. V.: Feature pruning by upstream drainage area to support automated generalization of the United States National Hydrography Dataset, Comput. Environ. Urb. Syst., 33, 325–333, https://doi.org/10.1016/j.compenvurbsys.2009.07.004, 2009.
Steen, V., Skagen, S. K., and Noon, B. R.: Vulnerability of Breeding Waterbirds to Climate Change in the Prairie Pothole Region, U.S.A, PLoS ONE, 9, e96747, https://doi.org/10.1371/journal.pone.0096747, 2014.
Stein, A., Pebesma, E., Heuvelink, G., Melles, S. J., Jones, N. E., Schmidt, B., and Rayfield, B.: Spatial Statistics 2011: Mapping Global ChangeA least-cost path approach to stream delineation using lakes as patches and a digital elevation model as the cost surface, Proced. Environ. Sci., 7, 240–245, https://doi.org/10.1016/j.proenv.2011.07.042, 2011.
Tiner, R. W.: NWI maps: what they tell us, Natl. Wetlands Newslett., 19, 7–12, 1997.
Tiner, R. W.: Geographically isolated wetlands of the United States, Wetlands, 23, 494–516, https://doi.org/10.1672/0277-5212(2003)023[0494:GIWOTU]2.0.CO;2, 2003.
Todhunter, P. E. and Rundquist, B. C.: Terminal lake flooding and wetland expansion in Nelson County, North Dakota, Phys. Geogr., 25, 68–85, 2004.
Tromp-van Meerveld, H. J. and McDonnell, J. J.: Threshold relations in subsurface stormflow: 2. The fill and spill hypothesis, Water Resour. Res., 42, W02411, https://doi.org/10.1029/2004WR003800, 2006a.
Tromp-van Meerveld, H. J. and McDonnell, J. J.: Threshold relations in subsurface stormflow: 1. A 147-storm analysis of the Panola hillslope, Water Resour. Res., 42, W02410, https://doi.org/10.1029/2004WR003778, 2006b.
US EPA: Connectivity and effects of streams and wetlands on downstream waters: A review and synthesis of the scientific evidence, US Environmental Protection Agency, Washington, D.C., 2015.
Vanderhoof, M., Alexander, L., and Todd, M. J.: Temporal and spatial patterns of wetland extent influence variability of surface water connectivity in the Prairie Pothole Region, United States, Landscape Ecol., 31, 805–824, https://doi.org/10.1007/s10980-015-0290-5, 2016.
Vanderhoof, M., Distler, H., Mendiola, D., and Lang, M.: Integrating Radarsat-2, Lidar, and Worldview-3 Imagery to Maximize Detection of Forested Inundation Extent in the Delmarva Peninsula, USA, Remote Sensing, 9, 105, https://doi.org/10.3390/rs9020105, 2017.
Wang, C.-K. and Philpot, W. D.: Using airborne bathymetric lidar to detect bottom type variation in shallow waters, Remote Sens. Environ., 106, 123–135, 2007.
Wang, L. and Liu, H.: An efficient method for identifying and filling surface depressions in digital elevation models for hydrologic analysis and modelling, Int. J. Geogr. Inform. Sci., 20, 193–213, 2006.
Watmough, M. D. and Schmoll, M. J.: Environment Canada's Prairie & Northern Region Habitat Monitoring Program, Phase II: Recent Habitat Trends in the Prairie Habitat Joint Venture, Canadian Wildlife Service, Edmonton, Alberta, 2007.
Winter, T. C.: Hydrologic studies of wetlands in the northern prairie, in: Northern Prairie Wetlands, edited by: Van Der Valk, A. G., Iowa-State University Press, Ames, IA, 1989.
Winter, T. C. and Rosenberry, D. O.: The interaction of ground water with prairie pothole wetlands in the Cottonwood Lake area, east-central North Dakota, 1979–1990, Wetlands, 15, 193–211, 1995.
Wright, C. K. and Wimberly, M. C.: Recent land use change in the Western Corn Belt threatens grasslands and wetlands, P. Natl. Acad. Sci. USA, 110, 4134–4139, 2013.
Wu, Q. and Lane, C. R.: Delineation and Quantification of Wetland Depressions in the Prairie Pothole Region of North Dakota, Wetlands, 36, 215–227, https://doi.org/10.1007/s13157-015-0731-6, 2016.
Wu, Q., Lane, C., and Liu, H.: An Effective Method for Detecting Potential Woodland Vernal Pools Using High-Resolution LiDAR Data and Aerial Imagery, Remote Sensing, 6, 11444–11467, https://doi.org/10.3390/rs61111444, 2014.
Wu, Q., Liu, H., Wang, S., Yu, B., Beck, R., and Hinkel, K.: A localized contour tree method for deriving geometric and topological properties of complex surface depressions based on high-resolution topographical data, Int. J. Geogr. Inform. Sci., 29, 2041–2060, https://doi.org/10.1080/13658816.2015.1038719, 2015.
Zhang, B., Schwartz, F. W., and Liu, G.: Systematics in the size structure of prairie pothole lakes through drought and deluge, Water Resour. Res., 45, W04421, https://doi.org/10.1029/2008WR006878, 2009.
Zhao, L. and Wu, F.: Simulation of Runoff Hydrograph on Soil Surfaces with Different Microtopography Using a Travel Time Method at the Plot Scale, PloS one, 10, e0130794, https://doi.org/10.1371/journal.pone.0130794, 2015.
Zhu, X.: GIS for Environmental Applications: A Practical Approach, Routledge, New York, 2016.
Short summary
In this study, we developed new tools for identifying potential hydrologic connectivity between wetlands and stream networks, which can better inform regulatory decisions and enhance the ability to better manage wetlands under various planning scenarios. The resulting flow network delineated potential flow paths connecting wetland depressions to each other or to the river network on scales finer than those available through the National Hydrography Dataset.
In this study, we developed new tools for identifying potential hydrologic connectivity between...