Articles | Volume 19, issue 6
https://doi.org/10.5194/hess-19-2881-2015
© Author(s) 2015. 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-19-2881-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Review article
| 
22 Jun 2015
Review article |
| 22 Jun 2015
Laser vision: lidar as a transformative tool to advance critical zone science
University of Nevada, Department of Natural Resources and Environmental Science, Reno, Nevada, USA
J. A. Marshall
University of Oregon, Department of Geological Sciences, Eugene, Oregon, USA
S. W. Lyon
Stockholm University, Department of Physical Geography, Stockholm, Sweden
T. B. Barnhart
University of Colorado, Geography Department and Institute for Arctic and Alpine Research, Boulder, Colorado, USA
B. A. Fisher
University of Minnesota, Land and Atmospheric Science, Minnesota, St. Paul, Minnesota,USA
M. Donovan
University of Maryland, Geography and Environmental Systems Department, Baltimore County, Baltimore, Maryland, USA
K. M. Brubaker
Hobart and William Smith Colleges, Environmental Studies, Geneva, New York, USA
C. J. Crosby
UNAVCO, Boulder, Colorado, USA
N. F. Glenn
Boise State University, Department of Geosciences, Boise, Idaho, USA
C. L. Glennie
University of Houston, Department of Civil and Environmental Engineering, Houston, Texas, USA
P. B. Kirchner
University of California, Joint Institute for Regional Earth System Science and Engineering, Los Angeles, California, USA
N. Lam
Stockholm University, Department of Physical Geography, Stockholm, Sweden
K. D. Mankoff
Woods Hole Oceanographic Institute, Department of Physical Oceanography, Woods Hole, Massachusetts, USA
J. L. McCreight
National Center for Atmospheric Research, Boulder, Colorado, USA
N. P. Molotch
University of Colorado, Geography Department and Institute for Arctic and Alpine Research, Boulder, Colorado, USA
K. N. Musselman
University of Saskatchewan, Centre for Hydrology, Saskatchewan, Canada
J. Pelletier
University of Arizona, Department of Geosciences, Tucson, Arizona, USA
T. Russo
Pennsylvania State University, State College, Department of Geosciences, Pennsylvania, USA
H. Sangireddy
University of Texas, Department of Civil Engineering, Austin, Texas, USA
Y. Sjöberg
Stockholm University, Department of Physical Geography, Stockholm, Sweden
T. Swetnam
University of Arizona, Department of Geosciences, Tucson, Arizona, USA
N. West
Pennsylvania State University, State College, Department of Geosciences, Pennsylvania, USA
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- SedInConnect: a stand-alone, free and open source tool for the assessment of sediment connectivity S. Crema & M. Cavalli 10.1016/j.cageo.2017.10.009
- Modeling streamflow from coupled airborne laser scanning and acoustic Doppler current profiler data N. Lam et al. 10.2166/nh.2016.257
- Comparing the accuracies of sUAV-SFM and UAV-LiDAR point clouds for topographic measurements S. Ye et al. 10.1007/s12517-022-09683-2
- Comparison of soil erosion models used to study the Chinese Loess Plateau P. Li et al. 10.1016/j.earscirev.2017.05.005
- Estimating the Effects of Forest Structure Changes From Wildfire on Snow Water Resources Under Varying Meteorological Conditions C. Moeser et al. 10.1029/2020WR027071
- Watershed-scale mapping of fractional snow cover under conifer forest canopy using lidar T. Kostadinov et al. 10.1016/j.rse.2018.11.037
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- Critical Zone Research and Observatories: Current Status and Future Perspectives L. Guo & H. Lin 10.2136/vzj2016.06.0050
- Airborne LiDAR and Aerial Imagery to Assess Potential Burrow Locations for the Desert Tortoise (Gopherus agassizii) M. Young et al. 10.3390/rs9050458
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- An approach for automated lithological classification of point clouds G. Walton et al. 10.1130/GES01326.1
- Revisiting Snow Cover Variability and Canopy Structure Within Forest Stands: Insights From Airborne Lidar Data G. Mazzotti et al. 10.1029/2019WR024898
- Derivation of Three-Dimensional Displacement Vectors from Multi-Temporal Long-Range Terrestrial Laser Scanning at the Reissenschuh Landslide (Tyrol, Austria) J. Pfeiffer et al. 10.3390/rs10111688
- Accounting for Fine‐Scale Forest Structure is Necessary to Model Snowpack Mass and Energy Budgets in Montane Forests P. Broxton et al. 10.1029/2021WR029716
- Seven Good Reasons for Integrating Terrestrial and Marine Spatial Datasets in Changing Environments M. Prampolini et al. 10.3390/w12082221
- Quantifying downed coarse woody material and residual forest basal area following retention harvesting in northeastern Minnesota using Landsat sensor data P. Wolter et al. 10.1139/cjfr-2017-0156
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5 citations as recorded by crossref.
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- Erosion and deposition within Poyang Lake: evidence from a decade of satellite data S. Zhang et al. 10.1016/j.jglr.2015.12.012
- Assessment of Changes in Planform Morphology of the Upper Yamuna River Segment, India, Using Remote Sensing and GIS R. Mittal et al. 10.1080/02723646.2022.2090656
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Short summary
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.
This review's objective is to demonstrate the transformative potential of lidar by critically...
