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Forest Canopy Gaps Identified by Lidar for the Alton Reach of the Illinois River from the Confluence of the Mississippi River to Kampsville, IL

Dates

Publication Date
Time Period
2009-12-16
Time Period
2009-12-17
Time Period
2011-02-14
Time Period
2011-02-15
Time Period
2011-02-18
Time Period
2011-03-16
Time Period
2011-03-17
Time Period
2011-03-23
Time Period
2011-04-12
Time Period
2011-04-13
Time Period
2011-04-14
Time Period
2011-12-07
Time Period
2011-12-08
Time Period
2011-12-10
Time Period
2011-12-11
Time Period
2011-12-12
Time Period
2011-12-18
Time Period
2011-12-28
Start Date
2017-04-07
End Date
2017-04-24

Citation

Sattler, S.R. and Hoy, E.E 2020, Forest Canopy Gaps Identified by Lidar for the Alton Reach of the Illinois River from the Confluence of the Mississippi River to Kampsville, IL: U.S. Geological Survey data release, https://doi.org/10.5066/P9BLTSTZ.

Summary

As part of Upper Mississippi River Restoration (UMRR), the U.S. Army Corps of Engineers (USACE) is conducting a study to understand what environmental factors are contributing to the regeneration of floodplain forest. This dataset uses lidar derivatives to identify forest canopy gaps along select portions of the Mississippi River and Illinois River. USACE will use this dataset to select field sites to collect data in forest canopy gaps. This will also serve as the baseline for long-term forest canopy gap study.

Contacts

Point of Contact :
Stephanie R Sattler
Originator :
Stephanie R Sattler, Erin E Hoy
Metadata Contact :
Stephanie R Sattler
Distributor :
GS ScienceBase

Attached Files

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Shapefile: alt_gaps.zip
alt_gaps.CPG 9 Bytes
alt_gaps.dbf 1.56 MB
alt_gaps.prj 412 Bytes
alt_gaps.sbn 27.05 KB
alt_gaps.sbx 1.18 KB
alt_gaps.shp 2.75 MB
alt_gaps.shx 22.18 KB

Purpose

This dataset is to be used by land managers looking to further understand forest canopy gap factors and metrics.

Map

Spatial Services

ScienceBase WMS

ScienceBase WFS

Communities

  • Upper Midwest Environmental Sciences Center (UMESC)

Tags

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Data source
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Additional Information

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