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Landsat-derived wintertime greenness datasets and results from cover crop performance analysis within the Tuckahoe Creek watershed, Maryland, from 1984 to 2017

Dates

Publication Date
Start Date
1984-11-01
End Date
2017-03-15

Citation

Soroka, A.M., Hively, W.D., and Lamb, B.T., 2019, Landsat-derived wintertime greenness datasets and results from cover crop performance analysis within the Tuckahoe Creek watershed, Maryland, from 1984 to 2017: U.S. Geological Survey data release, https://doi.org/10.5066/P9OZ6ND0

Summary

This metadata record documents data files, an analysis script, and results from a land-surface greenness analysis of the Tuckahoe Creek watershed, covering parts of Caroline, Queen Anne's and Talbot Counties in Maryland from 1984 to 2017. Included in this record are: 1) 34 raster datasets containing maximum wintertime greenness values on an annual basis from 1984 to 2017, 2) a script used in Google Earth Engine to create the raster datasets, 3) tabular output from vegetation biomass analysis for 1984 to 2017 using a composite cropland layer, 4) a raster of the composite cropland layer, 5) tabular output from vegetation biomass analysis by preceding summer crop type for 2008 to 2017 using year-specific annual cropland data layers, and [...]

Contacts

Attached Files

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Avrg_CDL.zip 62.3 KB
Wintertime_Greenness_from_AvrgCDL_1984_2017_Tuckahoe.csv 14.92 KB
Wintertime_Greenness_from_annual_CDL_2008_2017.csv 5.45 KB
Maximum NDVI calculation script for Google Earth Engine.txt 36.54 KB
MACS enrollment data 2006_2017.csv 286.06 KB
1.31 GB
Tuckahoe_greenness_analysis_metadata.xml
Original FGDC Metadata

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41.96 KB

Purpose

These data were collected and analyzed in combination with agronomic information to examine the roll which different cash crops, cover crops and temperature have on agricultural field greenness in wintertime.

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Spatial Services

ScienceBase WMS

Communities

  • USGS Data Release Products
  • USGS Lower Mississippi-Gulf Water Science Center

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Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9OZ6ND0

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