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coastal Texas marsh survey points - 2011

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Summary

This data set contains vector point information. The original data set was collected through Texas A&M University-Kingsville a helicopter survey was flown October 2-3rd of 2011 by Dr. Jenneke Visser (University of Louisiana at Lafayette) and Michael Mitchell. Data from this survey was used to produce this point file. Each feature includes the vegetation type at the point as well as the class used when classifying. Each feature is labeled either reference or accuracy assessment based on what it was used for during analysis. Flight was along north/south transects spaced 2000 meters apart from the Corpus Christi Bay to the Sabine River. Vegetative data was obtained at pre-determined stations spaced at 1500 meters along each transect. [...]

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coastal_Texas_marsh_survey_points_2011.zip
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Purpose

To collect ground reference points for classification of coastal marsh vegetation types (e.g., fresh, intermediate, brackish, saline).

Rights

Acknowledgement of the USGS National Wetlands Research Center (NWRC) as a data source would be appreciated in products developed from these data. Such acknowledgement as is standard for citation and legal practices for data sources is expected by users of these data. Sharing new data layers developed directly from these data would be appreciated by the USGS NWRC staff. Users should be aware that comparison with other datasets for the same area from other time periods may be inaccurate because of inconsistencies resulting from changes in mapping conventions, data collection procedures, and computer processes over time. The distributor shall not be liable for improper or incorrect use of these data, based on the description of appropriate/inappropriate uses described in this metadata document. These data are not legal documents and are not to be used as such.
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Communities

  • National and Regional Climate Adaptation Science Centers
  • South Central CASC

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Provenance

Data source
Input directly
Jenneke Visser (University of Louisiana-Lafayette) and Michael Mitchell (University of Texas A&M University-Kingsville)

Additional Information

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