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Remote Sensing Shrub/Grass National Land Cover Database (NLCD) Back-in-Time (BIT) Litter Products for the Western U.S., 1985 - 2018

Dates

Publication Date
Start Date
1985-05-01
End Date
2018-10-31

Citation

Homer, C., Rigge, M., Shi, H., Meyer, D., Bunde, B., Granneman, B., Postma, K., Danielson, P., Case, A., and Xian, G., 2020, Remote Sensing Shrub/Grass National Land Cover Database (NLCD) Back-in-Time (BIT) Products for the Western U.S., 1985 - 2018: U.S. Geological Survey data release, https://doi.org/10.5066/P9C9O66W.

Summary

The need to monitor change in sagebrush steppe is urgent due to the increasing impacts of climate change, shifting fire regimes, and management practices on ecosystem health. Remote sensing provides a cost-effective and reliable method for monitoring change through time and attributing changes to drivers. We report an automated method of mapping rangeland fractional component cover over a large portion of the Northern Great Basin, USA, from 1986 to 2016 using a dense Landsat imagery time series. 2012 was excluded from the time-series due to a lack of quality imagery. Our method improved upon the traditional change vector method by considering the legacy of change at each pixel. We evaluate cover trends stratified by climate bin and [...]

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Purpose

The goal of this project is to provide a dense Landsat imagery time series of shrubland fractional components. An inventory of land cover validated products and estimates of precision across the Western U.S from 1985 - 2018. 2012 was excluded from the time-series due to a lack of quality imagery. Climate change, shifting fire regimes, and management practices are increasingly impacting the health of the ecosystem. This dataset will fill the need for improved monitoring change within the large shrubland habitat.

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