2019 Total Solar Eclipse Maps and Shapefiles
- Visualizations by:
- Ernie Wright
- View full credits
The map uses a number of NASA data products. The land color is based on Blue Marble Next Generation, a global mosaic of MODIS images assembled by NASA's Earth Observatory. Elevations are from SRTM, a radar instrument flown on Space Shuttle Endeavour during the STS-99 mission. Lunar topography, used for precise shadow calculations, is from NASA LRO laser altimetry and JAXA Kaguya stereo imaging. Planetary positions are from the JPL DE421 ephemeris. The lunar limb profile and eclipse calculations are by the visualizer.
The map below shows the global extent of the shadow path. The umbra is drawn at 10-minute intervals.
ShapefilesThe map was rendered in animation software, but maps are more typically created using geographic information system (GIS) tools and vector datasets. A set of shapefiles describing the umbra and penumbra extents is provided below in two Zip archives, one for small-scale (global) maps and the other for larger-scale mapping.
penum19 contains the contours for maximum obscuration at 5-percent intervals from 95% to 5%, and the penumbra edge at 0%.
w_upath19 contains the complete path of totality.
w_umbra19_1m contains umbra shapes at 1-minute intervals from 18:02 to 20:44 UTC, covering the complete timespan of totality.
w_center19 contains the complete center line.
The projection for all of these shapefiles is WGS84, latitude-longitude, in degrees. A minimal .PRJ file reflecting this projection is included for each shape.
umbra19_1s contains 560 umbra shapes at one-second intervals from 20:35:30 to 20:44:49 UTC. These are high-resolution shapes with roughly 100-meter precision. The attributes for each shape include both a string representation of the UTC time and an integer containing the number of seconds past midnight of eclipse day.
upath19 contains the path of totality, limited to the extent of the 560 umbra shapes. Both the path and the umbra shapes are truncated at 75°W.
center19 contains the center line as a polyline with points at one-second intervals.
Please give credit for this item to:
NASA's Scientific Visualization Studio
- Ernie Wright (USRA) [Lead]
- Genna Duberstein (ADNET)
- Ian Jones (ADNET)
- Laurence Schuler (ADNET)
- Ernie Wright (USRA)
Datasets used in this visualization
Terra and Aqua BMNG (A.K.A. Blue Marble: Next Generation) (Collected with the MODIS sensor)
Credit: The Blue Marble data is courtesy of Reto Stockli (NASA/GSFC).
Dataset can be found at: http://earthobservatory.nasa.gov/Newsroom/BlueMarble/See more visualizations using this data set
SRTM DEM (Collected with the SIR-C sensor)
LRO DEM (A.K.A. Digital Elevation Map) (Collected with the LOLA sensor)
LRO/SELENE SLDEM2015 (A.K.A. DIgital Elevation Model) (Collected with the LOLA/TC sensor)
A digital elevation model of the Moon derived from the Lunar Orbiter Laser Altimeter and the SELENE Terrain Camera. See the description in Icarus. The data is here.See more visualizations using this data set
GRIP4 (A.K.A. Global Roads Inventory Project)
Roads database covering 222 countries
Credit: The GRIP4 roads database is provided under an Open Data Commons Open Database License. Meijer, J.R., Huijbegts, M.A.J., Schotten, C.G.J. and Schipper, A.M. (2018): Global patterns of current and future road infrastructure. Environmental Research Letters, 13-064006.See more visualizations using this data set
DE421 (A.K.A. JPL DE421)
Dataset can be found at: http://ssd.jpl.nasa.gov/?ephemerides#planetsSee more visualizations using this data set
Natural Earth: Cultural Vectors
Boundaries, populated placesSee more visualizations using this data set
Note: While we identify the data sets used in these visualizations, we do not store any further details nor the data sets themselves on our site.