Stephen Boyte
Stephen Boyte is a Research Geographer at USGS EROS in Sioux Falls, SD, USA.
Stephen Boyte is a Research Geographer at USGS EROS in Sioux Falls, SD, USA.
Science and Products
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Landsat 8 six spectral band data and MODIS NDVI data for assessing the optimal regression tree models
In this study, we developed a method that identifies an optimal sample data usage strategy and rule numbers that minimize over- and underfitting effects in regression tree mapping models. A LANDFIRE tile (r04c03, located mainly in northeastern Nevada), which is a composite of multiple Landsat 8 scenes for a target date, was selected for the study. To minimize any cloud and bad detection effects in
Filter Total Items: 23
Science and Products
Filter Total Items: 25
Landsat 8 six spectral band data and MODIS NDVI data for assessing the optimal regression tree models
In this study, we developed a method that identifies an optimal sample data usage strategy and rule numbers that minimize over- and underfitting effects in regression tree mapping models. A LANDFIRE tile (r04c03, located mainly in northeastern Nevada), which is a composite of multiple Landsat 8 scenes for a target date, was selected for the study. To minimize any cloud and bad detection effects in
Filter Total Items: 23