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Near-real-time Herbaceous Annual Cover in the Sagebrush Ecosystem, USA, July 2018

Dates

Publication Date
Time Period
2018-07-01

Citation

Boyte, S.P., and Wylie, B.K., 2018, Near-real-time herbaceous annual cover in the sagebrush ecosystem, USA, July 2018: U.S. Geological Survey data release, https://doi.org/10.5066/P9RIV03D.

Summary

This dataset provides a near-real-time estimate of 2018 herbaceous annual cover with an emphasis on annual grass (Boyte and Wylie. 2016. Near-real-time cheatgrass percent cover in the Northern Great Basin, USA, 2015. Rangelands 38:278-284.) This estimate was based on remotely sensed enhanced Moderate Resolution Imaging Spectroradiometer (eMODIS) Normalized Difference Vegetation Index (NDVI) data gathered through July 1, 2018. This is the second iteration of an early estimate of herbaceous annual cover for 2018 over the same geographic area. The previous dataset used eMODIS NDVI data gathered through May 1 (https://doi.org/10.5066/P9KSR9Z4). The pixel values for this most recent estimate ranged from 0 to100% with an overall mean value [...]

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18nrt_herb_annual_july1_version.img 13.5 MB
18nrt_herb_annual_july1_version.img.aux.xml 1.84 KB
18nrt_herb_annual_july1_version.img.lyr 25 KB
18nrt_herb_annual_july1_version.img.vat.cpg 5 Bytes
18nrt_herb_annual_july1_version.img.vat.dbf 3.05 KB
18nrt_herb_annual_july1_version.png thumbnail 14.98 MB
18nrt_herb_annual_july1_version.rrd 7.06 MB
18nrt_herb_annual_july1_version_metadata.xml
Original FGDC Metadata

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14.38 KB

Purpose

These data were developed to provide land managers and researchers with near-real-time estimates of spatially explicit percent cover predictions of herbaceous annual vegetation cover in the study area. Appropriate use of the data should be defined by the user; however, this data comes with caveats. First, these estimates should be viewed as relative abundances. Second, each pixel in the dataset represent 250-meters and can include a geolocation error of up to 125 meters. Comparing this dataset to similar datasets with different spatial resolutions can lead to substantial differences between datasets.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9RIV03D

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