Lesson 1 of 4 · Cartosat
Cartosat: measure terrain from different viewpoints
8 minute lesson · 3 checks along the way
Your goal for this lessonExplain how Cartosat stereo observations support maps and why image detail is different from elevation accuracy.
In this lesson 3 sections · 3 checks
Using archive links & definitions
Follow a linked name to explore its archive card. “Back to your lesson” brings you to the same part of the reading.
Words with a dotted underline open a short definition right here in the lesson.
Read & understand
Build a cartographic observing family
Cartosat is an Indian Earth-observation family focused on imagery useful for mapping. Cartosat-1 launched on May 5, 2005, carrying forward-looking and aft-looking panchromatic cameras. Looking at terrain from different directions produced stereo observations rather than simply two identical copies of the same picture. Later family members developed other imaging capabilities; their specifications should be checked individually.
The Cartosat-2F spacecraft shown in this lesson belongs to a later generation. It provides physical context for the family, but its photograph does not depict Cartosat-1’s original stereo-camera pair. Program histories become misleading when a convenient picture is silently assigned to another spacecraft. Keep the family relationship while preserving the exact identity of each illustrated vehicle.
Check 1 of 3
10 pointsUse the reading above. You can try again without losing points.
Read & understand
Recover height through geometry
A nearby feature appears in different positions when viewed from different locations. With known camera geometry and corresponding features, stereo processing uses such differences to estimate terrain heights. Satellite position, pointing, camera calibration and reliable matching all contribute to the resulting elevation model. A display that looks three-dimensional is not, by itself, evidence that every inferred height is correct.
ISRO’s 2015 retrospective describes CartoDEM processing, ground-control points and validation. A is a numerical terrain product created from observations and processing. uses geometry and terrain information to correct image displacement for mapping. Neither operation makes the original scene timeless or removes the need to know the coordinate system and vertical reference.
ISRO photographed Cartosat-2F during preparation for the January 2018 PSLV-C40 mission. The archive calls this spacecraft Cartosat-2 Series Satellite. This is later family hardware, not Cartosat-1’s original stereo-camera pair or a photograph of terrain from orbit. Resized and compressed under the Government Open Data License – India.
Look closely
What does this image establish, and what requires the observing record?
See what to notice
It documents physical spacecraft preparation. The accuracy, coverage and geometry of its later observations require instrument and product records.
Check 2 of 3
10 pointsUse the reading above. You can try again without losing points.
Read & understand
Choose the right map for the decision
For a fictional drainage-planning study, compare the elevation product’s date, grid spacing, reference system and assessed errors with the project’s needs. Small changes in height may matter even when an image has visually sharp boundaries. Horizontal image detail, output-grid spacing and vertical accuracy describe different properties and should not be exchanged as if they were the same number.
Maps also require interpretation of what is represented. Buildings, vegetation and ground surface can affect different terrain products differently. Before using an elevation difference as evidence of change, check that the products describe comparable surfaces and use compatible references. Cartosat supplies valuable observations, while the mapping workflow determines what conclusions a particular product can support.
Check 3 of 3
10 pointsUse the reading above. You can try again without losing points.
Put it together
Your lesson progress
Each check connects to a part of the story. Complete all 3 to earn your 25-point lesson bonus.
Explore further · Optional
Go to the source
Explore the evidence behind this lesson. These optional readings and videos open in a new tab.
- Read: ISRO: Cartosat-1 and stereo imagingCompare the explanation and its assumptions with the worked example in this lesson.
- Read: ISRO: Cartosat-1 ten-year retrospective, 2015Historical DEM processing and validation; the 2015 operating status is not a current fleet statement.
- Read: ISRO: Earth-observation applicationsCompare the explanation and its assumptions with the worked example in this lesson.