RESOURCES
Top 10 Tips for Drainage Mapping
Using high-resolution topo data for drainage analysis presents unique challenges…
Video: Tools for Culvert and Catch Basin Assessments
See how high-resolution LiDAR data is being integrated into infrastructure assessments…
Case Study: Borough of Whitehall Storm Water Catchment Analysis
The Borough of Whitehall has been experiencing an increase in localized flooding…
Video: UAV Data Accuracy
Presentation
Mapping and Surveying requires Accuracy. View Part 1 and Part 2 of this video series.
Case Study: Modeling Peak Flows at Culverts
How can we prioritize “at risk” culverts across an entire watershed? By comparing anticipated peak flows against known culvert capacity, Ulster County is beginning the process…
Case Study: Evaluating Storm Water Infrastructure
Read about how we are using LIDAR data to help the Town of Greece better evaluate their existing storm water infrastructure….
Video: Making LiDAR Work for Improving Drainage
Watch our short video demonstrating how we develop the actual data used in the Case Studies…
How Well Do You Know Your Elevation Model?
Included are 5 Tips on how to better understand your elevation model…
Top 10 Tips for Drainage Mapping
Using high-resolution topo data for drainage analysis presents unique challenges. Our experience shows that automated elevation models (DEMs) simply don’t work for drainage purposes.
Download our “Top Ten Tips” to see what you can do to avoid the pitfalls and set your mapping project up for success!
Tools for Culvert and Catch Basin Assessments
View a high-resolution presentation on how LiDAR data is being integrated with ArcGIS and empowered with Python-based tools for creating drainage surfaces and estimating peak flows
Tools for Culvert and Catch Basin Assessments
View a high-resolution presentation on how LiDAR data is being integrated with ArcGIS and empowered with Python-based tools for creating drainage surfaces and estimating peak flows
Tools for Culvert and Catch Basin Assessments
View a high-resolution presentation on how LiDAR data is being integrated with ArcGIS and empowered with Python-based tools for creating drainage surfaces and estimating peak flows