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Wetland Moist Soil Seed Maps for the Central Valley of California 2007-2017: Training and Testing Data

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Citation

Byrd, K.B., and Lorenz, A.A., 2018, Wetland Moist Soil Seed Extent and Productivity Maps for the Central Valley of California 2007-2017: U.S. Geological Survey data release, https://doi.org/10.5066/P9PMO9Q2.

Summary

We produced a series of maps of moist soil seed plants within managed wetlands in the Central Valley of California from 2007-2011 & 2013-2017. Moist soil seed plants, such as swamp timothy (Crypsis schoenoides) and watergrass (Echinochloa crusgallim), are a critical food source for migratory waterfowl. Through field observation and digitization of high resolution imagery we identified the locations of moist soil seed plants, tall emergent vegetation, water, and other land cover. Using a Support Vector Machine classification, we classified multispectral Landsat imagery from 2007-2011 and 2013-2017. We used images from May through August to create phenology metrics. The final datasets were used to train and test the accuracy of the classification [...]

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MSSDatasets.zip
“Model training and accuracy assessment data”
114.69 KB application/zip

Purpose

The datasets were used to train and test the accuracy of the classification model used to create the wetland moist soil seed maps for the Central Valley of California from 2007-2017.

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  • USGS Data Release Products

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