Can Low-Resolution Airborne Laser Scanning Data Be Used to Model Stream Rating Curves?

Lyon, Steve W.; Nathanson, Marcus; Lam, Norris; Dahlke, H. E.; Rutzinger, Martin; Kean, Jason W.; Laudon, Hjalmar

doi:10.3390/w7041324

Cited by 8 publications

(11 citation statements)

References 45 publications

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“…and information content. Full waveform lidar data promises to provide a better definition of ground surface and vegetation canopy (Wagner et al, 2008, Mallet andBretar, 2009). Utilizing blue-green light spectrum, lidar systems are capable of bathymetric profiling (McKean et al, 2009;Fernandez-Diaz et al, 2014) and potentially determining turbidity and inherent optical properties of the water column.…”

Section: Data Acquisition Technologymentioning

confidence: 99%

“…By increasing the scalability of CZ lidar-oriented processing and analysis tools, computationally intensive analysis and modeling at the highest resolution of the lidar data sets will be possible. In addition to increasing software scalability, new processing tools are necessary to take advantage of new data types, such as full waveform lidar (Wagner et al, 2008, Mallet andBretar, 2009) and hyperspectral laser technology (Hakala et al, 2012). Cloud computing and the "big data paradigm" that is increasingly common in both industry and academia (Mattman, 2013) present opportunities for the CZ lidar community.…”

Section: Data Access Processing and Analysismentioning

confidence: 99%

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Laser vision: lidar as a transformative tool to advance critical zone science

Harpold

Marshall

Lyon

et al. 2015

Hydrol. Earth Syst. Sci.

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Abstract. Observation and quantification of the Earth's surface is undergoing a revolutionary change due to the increased spatial resolution and extent afforded by light detection and ranging (lidar) technology. As a consequence, lidar-derived information has led to fundamental discoveries within the individual disciplines of geomorphology, hydrology, and ecology. These disciplines form the cornerstones of critical zone (CZ) science, where researchers study how interactions among the geosphere, hydrosphere, and biosphere shape and maintain the "zone of life", which extends from the top of unweathered bedrock to the top of the vegetation canopy. Fundamental to CZ science is the development of transdisciplinary theories and tools that transcend disciplines and inform other's work, capture new levels of complexity, and create new intellectual outcomes and spaces. Researchers are just beginning to use lidar data sets to answer synergistic, transdisciplinary questions in CZ science, such as how CZ processes co-evolve over long timescales and interact over shorter timescales to create thresholds, shifts in states and fluxes of water, energy, and carbon. The objective of this review is to elucidate the transformative potential of lidar for CZ science to simultaneously allow for quantification of topographic, vegetative, and hydrological processes. A review of 147 peer-reviewed lidar studies highlights a lack of lidar applications for CZ studies as 38 % of the studies were focused in geomorphology, 18 % in hydrology, 32 % in ecology, and the remaining 12 % had an interdisciplinary focus. A handful of exemplar transdisciplinary studies demon- Published by Copernicus Publications on behalf of the European Geosciences Union. 2882 A. A. Harpold et al.: Laser vision: lidar as a transformative toolstrate lidar data sets that are well-integrated with other observations can lead to fundamental advances in CZ science, such as identification of feedbacks between hydrological and ecological processes over hillslope scales and the synergistic co-evolution of landscape-scale CZ structure due to interactions amongst carbon, energy, and water cycles. We propose that using lidar to its full potential will require numerous advances, including new and more powerful open-source processing tools, exploiting new lidar acquisition technologies, and improved integration with physically based models and complementary in situ and remote-sensing observations. We provide a 5-year vision that advocates for the expanded use of lidar data sets and highlights subsequent potential to advance the state of CZ science.

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Section: Data Acquisition Technologymentioning

confidence: 99%

Section: Data Access Processing and Analysismentioning

confidence: 99%

Laser vision: lidar as a transformative tool to advance critical zone science

Harpold

Marshall

Lyon

et al. 2015

Hydrol. Earth Syst. Sci.

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“…Research utilizing lidar has advanced fundamental process understanding in snow hydrology (Deems et al, 2013), surface water hydraulics (Lane et al, 2004;Nathanson et al, 2012;Lyon et al, 2015), and land-surface-atmosphere interactions (Mitchell et al, 2011). Lidar-derived snow depths (derived by differencing snow-on and snow-off elevations) over large (> 1 km 2 ) spatial extents from both ALS and TLS (Deems et al, 2013) have yielded unprecedented contiguous maps of spatial snow distributions (e.g., Fassnacht and Deems, 2006;McCreight et al, 2014) and provided new insights into underlying processes determining spatial patterns in snow cover (von Trujillo et al, 2009;Kirchner et al, 2014), accumulation and ablation rates (Grunewald et al, 2010;Varhola and Coops, 2013), snow water resource planning (Hopkinson et al, 2012), and estimating the effects of forest cover and forest disturbance on snow processes (Harpold et al, 2014a).…”

Section: Advances In Hydrology Using Lidarmentioning

confidence: 99%

“…Prior to lidar, many of these cryospheric processes had to be investigated using single point observations or through statistical rather than deterministic analyses; the additional information derived from lidar has yielded important insights that have advanced scientific understanding. High-resolution topographic information from lidar has proved important for stream channel delineation (Kinzel et al, 2013), rating curve estimation (Nathanson et al, 2012;Lyon et al, 2015), floodplain mapping and inundation (Marks and Bates, 2000;Kinzel et al, 2007), and topographic water accumulation indices (Sørensen and Seibert, 2007;Jensco et al, 2009). Lidar measurements of micro-topography shows potential for improving soil property and moisture information (e.g., Tenenbaum et al, 2006), surface and floodplain roughness (Mason et al, 2003, Forzieri et al, 2010Brasington et al, 2012;Brubaker et al, 2013), hydraulic dynamics and sediment transport (Roering et al, 2009;McKean et al, 2014), surface ponding and storage volume calculations (Li et al, 2011;French, 2003), and wetland delineation (e.g., Lane and D'Amico, 2010).…”

Section: Advances In Hydrology Using Lidarmentioning

confidence: 99%

Section: Data Acquisition Technologymentioning

confidence: 99%

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Laser vision: lidar as a transformative tool to advance critical zone science

Harpold¹,

Marshall²,

Lyon³

et al. 2015

Preprint

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Abstract. Laser vision: lidar as a transformative tool to advance critical zone science. Observation and quantification of the Earth surface is undergoing a revolutionary change due to the increased spatial resolution and extent afforded by light detection and ranging (lidar) technology. As a consequence, lidar-derived information has led to fundamental discoveries within the individual disciplines of geomorphology, hydrology, and ecology. These disciplines form the cornerstones of Critical Zone (CZ) science, where researchers study how interactions among the geosphere, hydrosphere, and ecosphere shape and maintain the "zone of life", extending from the groundwater to the vegetation canopy. Lidar holds promise as a transdisciplinary CZ research tool by simultaneously allowing for quantification of topographic, vegetative, and hydrological data. Researchers are just beginning to utilize lidar datasets to answer synergistic questions in CZ science, such as how landforms and soils develop in space and time as a function of the local climate, biota, hydrologic properties, and lithology. This review's objective is to demonstrate the transformative potential of lidar by critically assessing both challenges and opportunities for transdisciplinary lidar applications. A review of 147 peer-reviewed studies utilizing lidar showed that 38 % of the studies were focused in geomorphology, 18 % in hydrology, 32 % in ecology, and the remaining 12 % have an interdisciplinary focus. We find that using lidar to its full potential will require numerous advances across CZ applications, including new and more powerful open-source processing tools, exploiting new lidar acquisition technologies, and improved integration with physically-based models and complementary in situ and remote-sensing observations. We provide a five-year vision to utilize and advocate for the expanded use of lidar datasets to benefit CZ science applications.

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Advances in understanding river‐groundwater interactions

Brunner

Therrien

Renard

et al. 2017

Reviews of Geophysics

196

126

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River‐groundwater interactions are at the core of a wide range of major contemporary challenges, including the provision of high‐quality drinking water in sufficient quantities, the loss of biodiversity in river ecosystems, or the management of environmental flow regimes. This paper reviews state of the art approaches in characterizing and modeling river and groundwater interactions. Our review covers a wide range of approaches, including remote sensing to characterize the streambed, emerging methods to measure exchange fluxes between rivers and groundwater, and developments in several disciplines relevant to the river‐groundwater interface. We discuss approaches for automated calibration, and real‐time modeling, which improve the simulation and understanding of river‐groundwater interactions. Although the integration of these various approaches and disciplines is advancing, major research gaps remain to be filled to allow more complete and quantitative integration across disciplines. New possibilities for generating realistic distributions of streambed properties, in combination with more data and novel data types, have great potential to improve our understanding and predictive capabilities for river‐groundwater systems, especially in combination with the integrated simulation of the river and groundwater flow as well as calibration methods. Understanding the implications of different data types and resolution, the development of highly instrumented field sites, ongoing model development, and the ultimate integration of models and data are important future research areas. These developments are required to expand our current understanding to do justice to the complexity of natural systems.

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Can Low-Resolution Airborne Laser Scanning Data Be Used to Model Stream Rating Curves?

Cited by 8 publications

References 45 publications

Laser vision: lidar as a transformative tool to advance critical zone science

Laser vision: lidar as a transformative tool to advance critical zone science

Laser vision: lidar as a transformative tool to advance critical zone science

Advances in understanding river‐groundwater interactions

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