Riparia Land Cover - Reclassed to facilitate habitat condition and water quality analyses 1992 [Pennsylvania] {1992}
Pennsylvania Spatial Data Access (PASDA)
·
1992
Full Details
Full Details
Title
Riparia Land Cover - Reclassed to facilitate habitat condition and water quality analyses 1992 [Pennsylvania] {1992}
Description
Many land cover interpretations strive for an Anderson Level 2 (Anderson et al., 1976) classification. The important distinction splits Anderson Level 1 cover types such as Forest and Agriculture into more specific cover types such as Deciduous or Coniferous Forest and Row Crops or Pasture. These divisions provide more information when a modeling effort studies wildlife that favor specific forest types (Mahan et al., 2010) and agricultural models to predict watershed condition (Brooks et al., 2002). While this level of detail is beneficial in these instances many studies seek to model ecological condition where too much detail become challenging to understand. When ecological condition is the goal detailed classifications can produce confusing results, thus, it is common practice to reclassify the original land cover to better target a specified project goal. This version of LCSTRAT1992 targeted forest, suburban and urban classes as import groupings and kept the distinction between pasture and row crop. Several ecological condition projects used this layer as coarse scale step and then compared these results with site level data collected in the field.
Creator
The Pennsylvania State University
Publisher
Pennsylvania Spatial Data Access (PASDA)
Temporal Coverage
1992
Date Issued
2018
Access Rights
Public
Format
File
Language
English
Date Added
February 22, 2023
Provenance Statement
The metadata for this resource was last retrieved from PASDA on 2025-11-16.
The Pennsylvania State University (2018). Riparia Land Cover - Reclassed to facilitate habitat condition and water quality analyses 1992 [Pennsylvania] {1992}. Pennsylvania Spatial Data Access (PASDA). https://www.pasda.psu.edu/uci/DataSummary.aspx?dataset=5053 (dataset)