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Early Estimates of Herbaceous Annual Cover in the Sagebrush Ecosystem (May 1, 2017)

Dates

Publication Date
Time Period
2017-05-01

Citation

Boyte, S.P. and Wylie, B.K., 2017, Estimates of Herbaceous Annual Cover in the Sagebrush Ecosystem (May 1, 2017): U.S. Geological Survey data release, https://doi.org/10.5066/F7445JZ9.

Summary

The dataset provides an estimate of 2017 herbaceous annual percent cover predicted on May 1st with an emphasis on annual grasses. The pixel values range from 0 to100 with an overall mean value of 7.1 and a standard deviation of +/-10.5. The model's test mean error rate (n = 1670), based on nine different randomizations, equals 4.9% with a standard deviation of +/- 0.15. This dataset was generated by integrating ground-truth measurements of annual herbaceous percent cover with 250-m spatial resolution eMODIS NDVI satellite derived data and geophysical variables into regression-tree software. The geographic coverage includes the Great Basin, the Snake River Plain, the state of Wyoming, and contiguous areas. We applied a mask to areas [...]

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2017nrt_annherb_may1_version_wmask_100p_metadata.xml
Original FGDC Metadata

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2017_AnnualHerbaceous.jpg thumbnail 7.26 MB
2017nrt_annherb_may1_version_wmask_100p.img 21.89 MB
2017nrt_annherb_may1_version_wmask_100p.img.lyr 25 KB

Purpose

These data were developed to provide land managers and researchers with early-season, near-real-time predictions of spatially explicit percent cover predictions of herbaceous annual vegetation in the study area. Appropriate use of the data should be defined by the user; however, this data comes with several caveats. First, as an early-season dataset, it will not reflect the end-of-season estimated percent cover of annual grass in many areas. In fact, some areas with annual grass cover will reflect no cover at this early date. Second, these estimates should be viewed as relative abundances. Third, 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. Fourth, this dataset represents annual herbaceous for 2017 forecast on May 1. This dataset is a forecast, and mapping could improve with later map development dates (e.g., July 1). This forecast is considered accurate and reasonable given this early season of mapping.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/F7445JZ9

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