Kristi Kline (Former Employee)
Science and Products
Web-enabled Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United States
Since January 2008, the U.S. Department of Interior / U.S. Geological Survey have been providing free terrain-corrected (Level 1T) Landsat Enhanced Thematic Mapper Plus (ETM+) data via the Internet, currently for acquisitions with less than 40% cloud cover. With this rich dataset, temporally composited, mosaics of the conterminous United States (CONUS) were generated on a monthly, seasonal, and an
Authors
David P. Roy, Junchang Ju, Kristi L. Kline, P. L. Scaramuzza, Valeriy Kovalskyy, Matt Hansen, Thomas Loveland, Eric Vermote, Chunsun Zhang
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Using Jupyter Notebooks to tell data stories and create reproducible workflows
Increasingly, USGS scientists seek to share and collaborate while working on data and code. Furthermore, these scientists often require advanced computing resources. Jupyter Notebooks are one such tool for creating these workflows. The files are interactive, code “notebooks” which allow users to combine code and text in one document, enabling scientists to share the stories held within their data.
Science and Products
Web-enabled Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United States
Since January 2008, the U.S. Department of Interior / U.S. Geological Survey have been providing free terrain-corrected (Level 1T) Landsat Enhanced Thematic Mapper Plus (ETM+) data via the Internet, currently for acquisitions with less than 40% cloud cover. With this rich dataset, temporally composited, mosaics of the conterminous United States (CONUS) were generated on a monthly, seasonal, and an
Authors
David P. Roy, Junchang Ju, Kristi L. Kline, P. L. Scaramuzza, Valeriy Kovalskyy, Matt Hansen, Thomas Loveland, Eric Vermote, Chunsun Zhang
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Using Jupyter Notebooks to tell data stories and create reproducible workflows
Increasingly, USGS scientists seek to share and collaborate while working on data and code. Furthermore, these scientists often require advanced computing resources. Jupyter Notebooks are one such tool for creating these workflows. The files are interactive, code “notebooks” which allow users to combine code and text in one document, enabling scientists to share the stories held within their data.