Susquehanna Shale Hills Critical Zone Observatory: Leaf On Survey

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Overview

This high-resolution lidar survey covers an area of 209 km2 located 10 miles southwest of State College, Pennsylvania. The data collection was funded by the National Science Foundation (NSF) and performed by the National Center for Airborne Laser Mapping (NCALM) during peak leaf-on and leaf-off conditions in 2010 (July 2010 and December 2010, respectively). The dataset contains point cloud tiles in LAS format, 1 m Digital Surface Model (DSM) derived using first-stop points, 1 m Digital Elevation Model (DEM) derived using ground-class points and 1 m hill shade dataset derived from DEM. These datasets were used to estimate vegetation biomass and distributions, provide bare earth elevations, and to assist with prediction of Critical Zone creation and structure.


Publications associated with this dataset can be found at NCALM's Data Tracking Center

Platform: Airborne Lidar
Survey Area: 209 km2
Raster Resolution: 1 meter
Survey Date: 07/14/2010 - 07/17/2010
Full Metadata
Data Citation
Use License: CC BY 4.0
Funder:   NSF     Partners:   SH-CZO, UCM     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 (CORS96) / UTM Zone 18N Meters [EPSG: 26918]
Vertical Coordinates: NAVD88 (GEOID 03) [EPSG: 5703]
Units: meter

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

2. Data Output Formats

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3. Layer Types & Additional SRTM Data

  Digital Elevation Models (DEMs)
Digital Terrain Model (DTM)
Digital Surface Model (DSM)
  Include Global 30m SRTM Data    

4. Raster Visualization  

Visualization type:
  Hillshade
  Color-relief
  Color hillshade
  Slope
  Aspect
  Roughness

5. Canopy Height Model (CHM)  

6. Contour Lines  

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).

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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