+Aerial Imaging and Lidar Point Cloud Fusion for
Low-Order Stream Identification
Ethan J. Shavers1 , Lawrence V. Stanislawski1
1 U.S. Geological Survey, Center of Excellence for Geospatial Information Science, Email: [email protected], [email protected]
2+ Outline Introduction Objectives and Challenges Methods Preliminary Results Conclusions and Future Work
UCGIS 2018 Symposium and CaGIS AutoCarto, Madison WI, May 22-24, 2018
3+ Introduction Weighted Flow Accumulation model and NHD Identify matching and mismatching features in both datasets Coefficient of Line Correspondence (CLC) metric
UCGIS 2018 Symposium and CaGIS AutoCarto, Madison WI, May 22-24, 2018
𝐶𝐶𝐶𝐶𝐶𝐶 =𝑆𝑆𝑆𝑆𝑆𝑆 𝑜𝑜𝑜𝑜 𝑡𝑡𝑡𝑡𝑡 𝑙𝑙𝑡𝑡𝑙𝑙𝑙𝑙𝑡𝑡𝑡 𝑜𝑜𝑜𝑜 𝑡𝑡𝑡𝑡𝑡 𝑆𝑆𝑚𝑚𝑡𝑡𝑚𝑚𝑡𝑚𝑚𝑙𝑙𝑙𝑙 𝑙𝑙𝑚𝑚𝑙𝑙𝑡𝑡𝑙𝑙 𝑚𝑚𝑙𝑙 𝑏𝑏𝑜𝑜𝑡𝑡𝑡 𝑑𝑑𝑚𝑚𝑡𝑡𝑚𝑚𝑙𝑙𝑡𝑡𝑡𝑡𝑙𝑙
𝑆𝑆𝑆𝑆𝑆𝑆 𝑜𝑜𝑜𝑜 𝑡𝑡𝑡𝑡𝑡 𝑙𝑙𝑡𝑡𝑙𝑙𝑙𝑙𝑡𝑡𝑡 𝑜𝑜𝑜𝑜 𝑚𝑚𝑙𝑙𝑙𝑙 𝑙𝑙𝑚𝑚𝑙𝑙𝑡𝑡𝑙𝑙 𝑚𝑚𝑙𝑙 𝑏𝑏𝑜𝑜𝑡𝑡𝑡 𝑑𝑑𝑚𝑚𝑡𝑡𝑚𝑚𝑙𝑙𝑡𝑡𝑡𝑡𝑙𝑙
(Stanislawski et al., 2015)
4+ Introduction Headwater Stream length as a percentage of total stream length
UCGIS 2018 Symposium and CaGIS AutoCarto, Madison WI, May 22-24, 2018
(Nadeau and Rains, 2007)
5+ Challenge and Objectives
Challenge Regular NHD validation and updating Low order stream modeling inaccuracy
Objectives Automate low-order stream identification in low topographic relief
humid regions Identify conditions that allow for stream classification
UCGIS 2018 Symposium and CaGIS AutoCarto, Madison WI, May 22-24, 2018
6+
Low topographic relief agricultural region
Methods
7+
NHD agreement with elevation-derived
channels
Methods
8+
Elevation-derived channels:omissions
Methods
9+
Elevation-derived channels:
commission errors
Methods
10+
Elevation-derived channels:
commission errors
Methods
11+ LAS point cloudMethods
Stream permanence
12+
3 m DEM
Methods
13+
Return intensity
Methods
14+
Topographic Position Index
Methods
15+
Point drop out
265 m 345 m
Methods
16+ Methods
NAIP analysis
17+Object Based Image Analysis
UCGIS 2018 Symposium and CaGIS AutoCarto, Madison WI, May 22-24, 2018
0.25 km
2.0 km
Methods
18+ Preliminary Results
UCGIS 2018 Symposium and CaGIS AutoCarto, Madison WI, May 22-24, 2018
Lidar derivatives: DEM (TPI and profile curvature), intensity, and density of returns
NAIP: σ(blue)* blue/ NIR (below)
19+ Preliminary Results
UCGIS 2018 Symposium and CaGIS AutoCarto, Madison WI, May 22-24, 2018
20+ Preliminary Results
UCGIS 2018 Symposium and CaGIS AutoCarto, Madison WI, May 22-24, 2018
21+ Preliminary Results
UCGIS 2018 Symposium and CaGIS AutoCarto, Madison WI, May 22-24, 2018
Panther Creek intermittent PerennialMatch lines 36.74 40.67Model lines 22.02 37.69
59 % 93 %
Forked Creek intermittent PerennialMatch lines 22.11 37.43Model lines 5.45 29.23
25 % 78 %
22+ Conclusions and Future Work Lidar derivatives and NAIP data can be used to extract streams Classification as ratio of model match Ground-truthing Dynamic weighting may be required for automation
UCGIS 2018 Symposium and CaGIS AutoCarto, Madison WI, May 22-24, 2018
23+ References
UCGIS 2018 Symposium and CaGIS AutoCarto, Madison WI, May 22-24, 2018
Nadeau, T. and Rains, M. C. (2007), Hydrological Connectivity Between Headwater Streams and Downstream Waters: How Science Can Inform Policy. JAWRA Journal of the American Water Resources Association, 43: 118-133. doi:10.1111/j.1752-1688.2007.00010.x
Stanislawski, L. V., Buttenfield, B. P., & Doumbouya, A. (2015). A rapid approach for automated comparison of independently derived stream networks. Cartography And Geographic Information Science, (5), 435.
Thanks
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