Jill Janene Cress
Jill Cress is a Computer Scientist at the National Unmanned Aircraft Systems Project Office in the Geosciences and Environmental Change Science Center.
Science and Products
A global ecological classification of coastal segment units to complement marine biodiversity observation network assessments
Earth's coastlines
The geography of islands
A new 30 meter resolution global shoreline vector and associated global islands database for the development of standardized ecological coastal units
A new high-resolution map of world mountains and an online tool for visualizing and comparing characterizations of global mountain distributions
U.S. Geological Survey Unmanned Aircraft Systems (UAS) Roadmap 2014
A new map of global ecological land units — An ecophysiographic stratification approach
A new map of standardized terrestrial ecosystems of Africa
Implementation of unmanned aircraft systems by the U.S. Geological Survey
A New Map of Standardized Terrestrial Ecosystems of the Conterminous United States
Rapid Data Delivery System (RDDS)
Global Data Toolset (GDT)
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.
National Uncrewed Systems Office
Global Ecosystems Continental Data
Global Ecosystems Global Data
Global Ecosystems
World Terrestrial Ecosystems Explorer
This online explorer tool, the World Terrestrial Ecosystems Explorer, allows for the map-based visualization and query of any terrestrial location on Earth for its ecosystem type and characteristics.
Global Coastline Explorer
The Global Coastline Explorer has a high-resolution dataset of Earth's coastlines and the ecological settings in which coastlines occur. This geospatial data represents 4 million 1 km or shorter coastal segments, each attributed with values from ten ecological settings variables representing the adjacent ocean, the adjacent land, and the coastline itself.
Global Island Explorer
The Global Island Explorer has 340,691 global island polygons grouped into four size classes: continental mainlands, big islands, small islands, and very small islands. Each polygon was derived from a new 30m resolution Global Shoreline Vector (GSV) dataset that was created by interpreting coastal shorelines from 2014 satellite imagery in Google Earth Engine.
Global Mountain Explorer 2.0
The Global Mountain Explorer supports the visual comparison of three well-known global mountain raster datasets. The first two were derived from 1km DEMs with the first being produced by Kapos et al. (2000), and the second by Körner et al. (2011). The third global mountain dataset, produced by Karagulle et al. (2017), was derived from a finer resolution 250m DEM.
Global Ecosystems Viewer
The Global Ecosystems Viewer provides visualization and feature identification of continental and global ecosystems data. Data from the Global Ecosystems activity allow for a fine resolution inventory of land-based ecological features anywhere on Earth, and contribute to increased understanding of ecological pattern and ecosystem distributions.
Science and Products
A global ecological classification of coastal segment units to complement marine biodiversity observation network assessments
Earth's coastlines
The geography of islands
A new 30 meter resolution global shoreline vector and associated global islands database for the development of standardized ecological coastal units
A new high-resolution map of world mountains and an online tool for visualizing and comparing characterizations of global mountain distributions
U.S. Geological Survey Unmanned Aircraft Systems (UAS) Roadmap 2014
A new map of global ecological land units — An ecophysiographic stratification approach
A new map of standardized terrestrial ecosystems of Africa
Implementation of unmanned aircraft systems by the U.S. Geological Survey
A New Map of Standardized Terrestrial Ecosystems of the Conterminous United States
Rapid Data Delivery System (RDDS)
Global Data Toolset (GDT)
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.
National Uncrewed Systems Office
Global Ecosystems Continental Data
Global Ecosystems Global Data
Global Ecosystems
World Terrestrial Ecosystems Explorer
This online explorer tool, the World Terrestrial Ecosystems Explorer, allows for the map-based visualization and query of any terrestrial location on Earth for its ecosystem type and characteristics.
Global Coastline Explorer
The Global Coastline Explorer has a high-resolution dataset of Earth's coastlines and the ecological settings in which coastlines occur. This geospatial data represents 4 million 1 km or shorter coastal segments, each attributed with values from ten ecological settings variables representing the adjacent ocean, the adjacent land, and the coastline itself.
Global Island Explorer
The Global Island Explorer has 340,691 global island polygons grouped into four size classes: continental mainlands, big islands, small islands, and very small islands. Each polygon was derived from a new 30m resolution Global Shoreline Vector (GSV) dataset that was created by interpreting coastal shorelines from 2014 satellite imagery in Google Earth Engine.
Global Mountain Explorer 2.0
The Global Mountain Explorer supports the visual comparison of three well-known global mountain raster datasets. The first two were derived from 1km DEMs with the first being produced by Kapos et al. (2000), and the second by Körner et al. (2011). The third global mountain dataset, produced by Karagulle et al. (2017), was derived from a finer resolution 250m DEM.
Global Ecosystems Viewer
The Global Ecosystems Viewer provides visualization and feature identification of continental and global ecosystems data. Data from the Global Ecosystems activity allow for a fine resolution inventory of land-based ecological features anywhere on Earth, and contribute to increased understanding of ecological pattern and ecosystem distributions.