Mars High-Resolution Tiled Web Services
An Esri introduction and Story Map for these layers: https://www.esri.com/arcgis-blog/products/arcgis-online/imagery/observing-the-red-planet/
These new Mars service hosted by Esri highlights controlled "foundational" mosaics including Viking MDIM v2.1 [231 m/p], MOLA/HRSC Blended Hillshade [200 m/p], and the USGS-created THEMIS Daytime and Nighttime mosaics [100 m/p]. We have also included the preliminary uncontrolled but high-resolution mosaics created by the Caltech Murray Lab for CTX [5 m/p] and USGS-generated HiRISE PSP/ESP mosaic [0.25 m/p]. Note on disk the CTX is lossy compressed to 1TB (originally at ~5TB) and the HiRISE PSP/ESP is lossy compressed to 19TB (originally nearly 100TB). Datasets have been compiled together and gratefully hosted as a Tiled Web Services by Esri (using AWS cloud). Data descriptions and their creators are provided on the simple viewer page (and referenced below). For these services both CTX and HiRISE are dynamically stretched server-side. The CTX stretch applied is "0:0,64:32,192:224,255:255" and the HiRISE mosaic is stretched from 10-bit to an 8-bit range is defined as "0:0,1:1,1030:255".
As stated in our abstract, this is really a technology evaluation to push our current limits for available processing clusters and data storage capabilities. We also used novel raster formats (MRF) and compression techniques (10-bit Jpeg/ZEN), and optimized distributed cloud capabilities. All capabilities to create and serve the data are using open source software (e.g. GDAL) and open OGC standards.
See below for references and additional download data resources.
Access the layers:
please be nice: using this test server to scrape large swaths of data is not allowed. But use (view) the resources in your GIS or web GIS viewers all you want. Also there is no need to build statistics - this will bog down the application and the server.
please be nice: using this test server to scrape large swaths of data is not allowed. But use (view) the resources in your GIS or web GIS viewers all you want. Also there is no need to build statistics - this will bog down the application and the server.
- A simple web viewer to take the layers for a test ride (click "Open in Map Viewer")
- list of many of the individual services.
- For ArcMap and ArcGIS Pro, simply head to ArcGIS Online (also just called Portal). See animations below.
- For other applications you can use the addresses found here (zip). Drag the *.til or *.dem into your Desktop GIS. Note these files are simply text files defining the tiled WMS address (crack open in a text editor to take a peak). Some of these are 16-bit (*.dem) and 10-bit services, thus desktop GIS applications should have no problem loading, but web viewers may not support some of these layers directly. Again - no need to build stats ever!
References
Plesea, L. and Hare, T.M. (2019). Uncontrolled Global HiRISE Mosaic, In Lunar and Planetary Science Conference (Vol. 50, pp. 1–2), The Woodlands, TX, abstract #1986, PDF poster.
McEwen, A. S., Eliason, E. M., Bergstrom, J. W., Bridges, N. T., Hansen, C. J., Delamere, W. A., Grant, J. A., Gulick, V. C., Herkenhoff, K. E., Keszthelyi, L., Kirk, R. L., Mellon, M. T., Squyres, S. W., Thomas, N., & Weitz, C. M. (2007). Mars Reconnaissance Orbiter's High Resolution Imaging Science Experiment (HiRISE). JGR-Planets112 (E05S02). Download map projected HiRISE Images.
Kirk, R. L. M., Holmberg, I. M., Keszthelyi, L. P., Redding, B. L., Delamere, W. A., Gallagher, D., Chapel, J. D., Eliason, E. M., King, R., & McEwen, A. S., Ultrahigh resolution topographic mapping of Mars with MRO HiRISE stereo images: Meter‐scale slopes of candidate Phoenix landing sites. (2008). JGR-Planets 113 (E00A24). Download HiRISE DTMs,
Dickson, J. L., Kerber, L. A., Fassett, C. I., & Ehlmann, B. L. (2018). A Global, Blended CTX Mosaic of Mars with Vectorized Seam Mapping: A New Mosaicking Pipeline Using Principles of Non‐Destructive Image Editing. Lunar and Planetary Science Conference (Vol. 49, pp. 1–2), The Woodlands, TX, abstract #2480. Download the data.
Fergason, R. L., Lee, E. M., Weller L. (2013). THEMIS Geodetically Controlled Mosaics of Mars, Lunar and Planetary Science Conference (Vol. 44, pp. 1–2), The Woodlands, TX . abstract #1642. Download the data.
Archinal, B. A., Kirk, R. L., Duxbury, T. C., Lee, E. M., Sucharski, R., Cook, D. (2003), Mars Digital Image Model 2.1 control network, Lunar and Planetary Science Conference (Vol. 34, pp. 1–2), abstract #1485. Download the data.
For more information see the simple viewer page.
Plesea, L. and Hare, T.M. (2019). Uncontrolled Global HiRISE Mosaic, In Lunar and Planetary Science Conference (Vol. 50, pp. 1–2), The Woodlands, TX, abstract #1986, PDF poster.
McEwen, A. S., Eliason, E. M., Bergstrom, J. W., Bridges, N. T., Hansen, C. J., Delamere, W. A., Grant, J. A., Gulick, V. C., Herkenhoff, K. E., Keszthelyi, L., Kirk, R. L., Mellon, M. T., Squyres, S. W., Thomas, N., & Weitz, C. M. (2007). Mars Reconnaissance Orbiter's High Resolution Imaging Science Experiment (HiRISE). JGR-Planets112 (E05S02). Download map projected HiRISE Images.
Kirk, R. L. M., Holmberg, I. M., Keszthelyi, L. P., Redding, B. L., Delamere, W. A., Gallagher, D., Chapel, J. D., Eliason, E. M., King, R., & McEwen, A. S., Ultrahigh resolution topographic mapping of Mars with MRO HiRISE stereo images: Meter‐scale slopes of candidate Phoenix landing sites. (2008). JGR-Planets 113 (E00A24). Download HiRISE DTMs,
Dickson, J. L., Kerber, L. A., Fassett, C. I., & Ehlmann, B. L. (2018). A Global, Blended CTX Mosaic of Mars with Vectorized Seam Mapping: A New Mosaicking Pipeline Using Principles of Non‐Destructive Image Editing. Lunar and Planetary Science Conference (Vol. 49, pp. 1–2), The Woodlands, TX, abstract #2480. Download the data.
Fergason, R. L., Lee, E. M., Weller L. (2013). THEMIS Geodetically Controlled Mosaics of Mars, Lunar and Planetary Science Conference (Vol. 44, pp. 1–2), The Woodlands, TX . abstract #1642. Download the data.
Archinal, B. A., Kirk, R. L., Duxbury, T. C., Lee, E. M., Sucharski, R., Cook, D. (2003), Mars Digital Image Model 2.1 control network, Lunar and Planetary Science Conference (Vol. 34, pp. 1–2), abstract #1485. Download the data.
For more information see the simple viewer page.