Context Camera Digital Terrain Model Mosaic for Mars 2020 Terrain Relative Navigation
type: Dataset
description: The Mars 2020 rover will explore Jezero crater, Mars to investigate an ancient delta for evidence of past microbial life and to better understand the geologic history of the region. The landing system onboard Mars 2020 will use technology developed at the Jet Propulsion Laboratory (JPL) called Terrain Relative Navigation (TRN), which will enable the spacecraft to autonomously avoid hazards (e.g., rock fields, crater rims) that exceed the safety requirements of the landing system. This capability allows small-scale hazards to be present in the landing ellipse, providing greater flexibility in selecting a landing location. In support of TRN, the USGS Astrogeology Science Center has generated and delivered the Lander Vision System (LVS) map generated from three Context Camera (CTX) orthorectified images that will be onboard the spacecraft and will be considered the truth dataset that TRN will use to orient itself relative to the surface during Entry, Decent, and Landing.
keyword: amerigeo
keyword: amerigeoss
keyword: ckan
keyword: context-camera
keyword: digital-terrain-model-dtm
keyword: entry-decent-and-landing-edl
keyword: geo
keyword: geoss
keyword: mars
keyword: mars-2020
keyword: mars-reconnaissance-orbiter
keyword: mosaic
keyword: national
keyword: north-america
keyword: terrain-relative-navigation
keyword: united-states
issued: 2025-11-20T09:08:42.545247
modified: 20200630
theme: {geospatial}
contact point: Organization
  fn: Robin L Fergason
spatial: Location

US Migrating
type: Agent

Original Metadata
type: Distribution
description: The metadata original format
media type: text/xml
format: XML
access URL: https://data.usgs.gov/datacatalog/metadata/USGS.f354e990-9f17-451b-9006-dcbbdb26ea0c.xml
issued: 2022-07-28T19:26:29.411111
modified: 2025-11-20T09:08:42.534989

Digital Data
type: Distribution
description: Landing page for access to the data
media type: application/http
format: XML
access URL: https://doi.org/10.5066/P906QQT8
issued: 2022-07-28T19:26:29.411117
modified: 2025-11-20T09:08:42.535424