Lidar Survey to Evaluate Spatial Heterogeneity and Channel Evolution, MT 2022

Welcome Guest ( Sign In )

Overview

This lidar dataset was collected as part of an NCALM Seed grant for Anna Marshall at Colorado State University. This dataset was collected to help understand sources and functions of spatial heterogeneity in determining channel evolution of large mountain rivers. Lidar surveys were conducted over the Swan and Middle Fork Flathead rivers in Montana.

Platform: Airborne Lidar

Survey Area: 53 km²

Raster Resolution: 1.0 meter

Survey Date: 08/08/2022 - 08/09/2022

Full Metadata

Data Citation

Use License: CC BY 4.0

Funder: NSF Collector: NCALM

Other Available Data Products: Point Cloud, Raster Bulk Download (Sign in required)

1. Select area of data to process:

Usage Heat Map

1. Coordinates

Horizontal Coordinates: NAD83 (2011) (EPOCH:2010) / UTM Zone 12N Meters [EPSG: 6341]
Vertical Coordinates: NAVD88 (GEOID 18) [EPSG: 5703]
Units: meter

Data Selection Coordinates: Manually enter selection coordinates (in the horizontal coordinate system listed above)

X_min =	Y_min =	X_max =	Y_max =
X_min =	Y_min =	X_max =	Y_max =

2. Data Output Formats

Select Data Output Format:

3. Layer Types & Additional SRTM Data

Digital Elevation Models (DEMs)

Digital Terrain Model (DTM)
Digital Surface Model (DSM)

Include Global 30m SRTM Data

5. Canopy Height Model (CHM)

Generate Canopy Height Model from DSM and DTM

This algorithm requires both Digital Terrain Model (DTM) and Digital Surface Model (DSM) from step 3 above. To enable DTM and DSM click here

6. Contour Lines

    Generate contour lines
    Output smoothed DEM
    Generate visualization

DEM Gaussian Radius (pixels)
Contour Interval (meter)

File output type

This algorithm requires either Digital Terrain Model (DTM) or Digital Surface Model (DSM) from step 3 above. To enable DTM/DSM click here

7. Hydrologic Terrain Analysis Products (tauDEM):

This tauDEM is an advanced processing service. It is available for registered users, who understand these resource intensive algorithms and its products.
In order to access or enable this service, please log in or request an account.

Job Description

These options allow users to describe and keep track of their jobs. Information entered below is recorded along with other job parameters in your personal lidar job archive accessed via myOpenTopo (available only to registered OpenTopography users).

Job title (up to 150 characters)

Job description (up to 750 characters)

Enter your e-mail address
for notification upon completion of processing

By accessing data via OpenTopography you agree to acknowledge OpenTopography and the dataset source in publications, presentations, and other materials produced using these data:
Data Citation | Use License: CC BY 4.0

Vertical Exaggeration	(in range: [1, 100])
Multidirectional hillshade
Altitude of light source	(in range: [0-90] degrees)
Azimuth of light source	(in range: [0-360] degrees)

Search form

Lidar Survey to Evaluate Spatial Heterogeneity and Channel Evolution, MT 2022