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Pennsylvania Geomorphon Landform Maps 2021 [Pennsylvania] {2021}

Pennsylvania Spatial Data Access (PASDA) · 2021 Full Details

Full Details

Title
Pennsylvania Geomorphon Landform Maps 2021 [Pennsylvania] {2021}
Description
Geomorphons (geomorphologic phonotypes) are landforms computed from a DEM based on the principle of pattern recognition and the concept of computer line of sight (Jasiewicz and Stepinski 2013). The geomorphon algorithm was executed using an open source package, r.geomorphon, under the GRASS GIS environment. The final product includes 10 most common landforms: flat (FL - 1), peak (PK- 2), ridge (RI - 3), shoulder (SH - 4), spur (SP - 5), slope (SL -6), hollow (HL - 7), footslope (FS - 8), valley (VL - 9), and pit (PT - 10). The county level 3-m LiDAR (Light Detection and Ranging) DEM produced by the PAMAP Program was used for geomorphon calculations. This dataset consists of two sets of geomorphon maps for all 67 counties of Pennsylvania. The first set of maps are geomorphons calculated using the default parameters (i.e. OR = 200 m, IR = 20 m, FT = 1, and FD = 0) adapted from the Chesapeake Conservancy (Baker et al. 2018). The second set of maps are geomorphons calculated using a dynamic zone-parameterization system (i.e. OR = ORzone, IR = 20 m, FT = 1, and FD = 0) based on zones and the average-valley-width (AVW) at drainage area of 26 km2 of each county. The ORs are 200m, 2*AVW, and 4*AVW for zones of headwater, large-valley, and extra-large-valley, respectively. The project was funded by the Pennsylvania Department of Environmental Protection (PADEP) through its Water Program. August 2021.
Creator
The Pennsylvania State University
Publisher
Pennsylvania Spatial Data Access (PASDA)
Temporal Coverage
2021
Date Issued
2021
Access Rights
Public
Format
File
Language
English
Date Added
February 22, 2023

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Cite and Reference

  • Citation
    The Pennsylvania State University (2021). Pennsylvania Geomorphon Landform Maps 2021 [Pennsylvania] {2021}. Pennsylvania Spatial Data Access (PASDA). https://www.pasda.psu.edu/uci/DataSummary.aspx?dataset=5047 (dataset)
  • BTAA Geoportal Link

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