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Using ASTER DEMS to Produce IKONOS Orthophotos

In many areas of the world, it is difficult to obtain or create an accurate digital elevation model (DEM). In other areas, obtaining an accurate DEM is prohibitively expensive. Lack of an accurate or affordable DEM over certain areas of the earth means that producing accurate orthophotos over these areas is difficult, cost-ineffective, or even impossible. ASTER, a sensor aboard NASA’s Terra satellite, provides low-priced Visual and Near-Infrared (VNIR), Thermal Infrared (TIR), and Short Wave Infrared (SWIR) data. The VNIR segment of the data contains stereo bands that can be used to produce DEMs. The DEMs derived from ASTER data using control points extracted from IKONOS imagery are of sufficient accuracy to allow the production of Reference Product (25m CE90) orthophotos from IKONOS imagery anywhere in the world where ASTER data is available. This article outlines the process for creating DEMs from ASTER data, including obtaining the data, necessary software, and an overview of the actual production steps. Included are case study accuracy assessments in which DEMs produced from ASTER data were used to orthorectify IKONOS imagery, and the resulting orthophotos compared to those produced using DEMs of known accuracy derived from IKONOS stereo data.

Peter Aniello

ASTER is a sensor aboard the Terra satellite, which was launched in December 1999. ASTER as two telescopes, one nadir-looking and one back-looking, which collect stereo data at 15-meter resolution. A single ASTER data granule containing stereo data and covering 3600 square kilometers costs $55 US, plus a $5 US handling charge. The two stereo bands (3n and 3b) contained in an ASTER Level 1A (L1A) data granule can be used to produce DEMs using a Space Imaging proprietary sensor model. These DEMs can be used to orthorectify IKONOS imagery to Space Imaging Reference Product accuracy standards (25-meter CE90). This is significant because, for some areas of the world, ASTER provides the only means to produce an accurate DEM at low cost. The ASTER sensor will eventually image the entire Earth between latitude 80 north and 80 south; most of the Earth has already been imaged, although an exact percentage is unavailable at this time.
Space Imaging’s IKONOS satellite was launched in September 1999. IKONOS is the world’s first commercial satellite to collect panchromatic imagery at 1-meter resolution and multi-spectral imagery at 4-meter resolution.
To achieve good accuracy using the Space Imaging ASTER sensor model, ground control points (GCPs) are read from IKONOS imagery and applied to the ASTER imagery. The advantage of using Space Imaging’s proprietary ASTER sensor model is that few GCPs are required, and GCP distribution is not critical. As noted in previous studies, ASTER DEM accuracy may deteriorate in steeper terrain (A. Kaab et al, 2002). However, in many instances, it is not unreasonable to expect ASTER DEM accuracies to be comparable to USGS 1-arc second DEM accuracies (T. Toutin and P. Cheng, 2001).
Accurate control points are not available for many areas of the world, but they can be derived from overlapping IKONOS monoscopic imagery with Rational Polynomial Coefficients (RPCs), viewed stereoscopically. The advantage of using overlap areas of IKONOS mono imagery as opposed to stereo IKONOS imagery to derive point locations is that the cost is lower. Stereo IKONOS overlaps by nearly 100 percent, and so requires that a given area be imaged twice; mono imagery may overlap by a very small amount and still be useable for control point extraction when viewed stereoscopically, so that fewer images are needed. The cost savings means that the derived product can be offered at a lower price.

Obtaining ASTER Data
ASTER data can be searched and ordered from the USGS EROS Data Center’s EDG (EOS Data Gateway) website (http://edcimswww.cr.usgs.gov/pub/imswelcome/). Browse images are available for search results, and the results may be displayed in a text list format for importing to a spreadsheet. ASTER data granules can be staged to an FTP site, or delivered on CD-ROM or 8mm tape.

Production Process
Space Imaging uses a proprietary software to reformat the ASTER L1A stereo bands. After reformatting, any software that is capable of block-adjusting IKONOS and auto-correlating stereo pairs can be used to produce ASTER DEMs.
A project is created, and the ASTER L1A stereo bands are imported as separate image files. GCPs are read from the IKONOS imagery in the overlap area, and applied to the ASTER images.
Once the GCPs have been applied, a triangulation, or block-adjustment, is performed. Auto-correlation of the ASTER stereo pair(s) produces a DEM (for this study, post spacing was set to 30 meters). Editing may be necessary, as areas of clouds, shadows, and water will miscorrelate.
Once the DEM is edited, it is either output to a format useable by Space Imaging’s IKONOS production area for orthophoto production, or an ortho­photo is produced using the same software as was used for the block-adjustment and DEM production (see Figures 1 and 2 for an overview of the production process).

Test Areas
Three areas of the world were chosen as test areas: southwestern Australia, the southern tip of the north island of New Zealand, and western Puerto Rico (see Figure 3).
The criteria for choosing these areas included availability of archived IKONOS imagery, availability of ASTER imagery, and variability of terrain. The Puerto Rico test area consisted of low-lying coastal flats and very rugged hills covered with tropical vegetation. Since the Puerto Rico test area contained many cloud areas, which resulted in non-correlation (failure) of the DEM in these areas, cloud-free areas were subsetted out for testing purposes. The Australia test area consisted of rolling agricultural terrain with many field patterns. The New Zealand test area consisted of coastal flats, rolling agricultural areas, and steep mountains up to 2,000 meters in elevation.

Test Procedures
ASTER imagery was obtained and DEMs were produced from the imagery at 30-meter post spacing using the procedure outlined above. DEMs were also produced at 30-meter post spacing from stereo IKONOS imagery for the Australia and New Zealand test cases. For the Puerto Rico test case, the ASTER DEMs were compared to DEMs of 6-meter post spacing obtained from Intermap. The DEMs were then compared by “subtracting” the IKONOS or Intermap DEM from the ASTER DEM. This produced a “difference surface” for which statistics were calculated. Orthophotos were then produced using the DEMs derived from both ASTER and IKONOS for the Australia and New Zealand study areas.

Test Results
Using the generated statistics, the linear errors (LE90) of the ASTER DEMs were calculated using Equation 1.
The LE90 of the three test area ASTER DEMs are shown in Table 1.
From the LE90, we can accurately calculate the amount of error (CE90) that the DEM will contribute to an orthophoto produced from IKONOS imagery taken at a given elevation angle and using an ASTER DEM as the elevation source. The CE90 of the expected error contribution would be described by Equation 2, where E is the elevation angle of the IKONOS image (Figure 4).
Once we know the amount of error that the DEM will contribute to an orthophoto, Equation 3 can be used to calculate the CE90 accuracy of an orthophoto produced using the DEM.
Table 2 shows calculated ASTER DEM error contributions and orthophoto accuracies for an IKONOS image at various elevation angles and assuming a line-of-sight geometric CE90 accuracy for the input image of approximately 8.6 meters (J. Grodecki and G. Dial, 2002).
To determine the actual accuracy of the orthophotos produced using the ASTER DEMs, a Space Imaging proprietary software was used which compares pixel locations between two images and produces a shapefile depicting pixel location differences (see Figure 5). This shapefile was then used to calculate statistics. Equation 4 was used to calculate the CE90 accuracy of the ASTER DEM orthophoto as compared to the IKONOS DEM orthophoto.
For the Australia orthophoto accuracy test, the statistics are shown in Table 3.
Solving for Equation 4, the observed accuracy of the Australia orthophoto produced using the ASTER DEM compared to the orthophoto produced using the IKONOS DEM is about 5.1 meters. The predicted accuracy of the ASTER DEM orthophoto with respect to the IKONOS DEM orthophoto (the ASTER DEM error contribution) would be approximately 4.6 meters, based on the actual elevation angle value of approximately 66 degrees and solving for Equation 3.
For the New Zealand orthophoto accuracy test, the statistics are shown in Table 4.
Solving for Equation 4, the actual accuracy of the New Zealand orthophoto produced using the ASTER DEM compared to the orthophoto produced using the IKONOS DEM is about 8.5 meters. The predicted accuracy of the ASTER DEM orthophoto with respect to the IKONOS DEM ortho­photo (the ASTER DEM error contribution) would be approximately 11.2 meters, based on the actual elevation angle value of approximately 75 degrees and solving for Equation 3.
The larger discrepancy between the observed accuracies and the predicted accuracies for the New Zealand ortho­photos can most likely be attributed to the fact that the program used to compare the pixel locations tends to throw out the higher difference values, such as might be found in mountainous areas, resulting in overly optimistic observed accuracies. The Australia test area contained no mountainous areas.
Since no archived IKONOS imagery was available over the cloud-free areas of the Puerto Rico ASTER DEM, no orthophotos were produced for this test case, although it is expected that any orthophoto generated from an IKONOS image collected at an elevation angle of 52 degrees or greater would meet or exceed Reference Product (25-meter CE90) specifications (see Table 2).

Conclusion
DEMs created from ASTER imagery using control points derived from overlapping IKONOS imagery viewed in stereo are, given any likely IKONOS imagery elevation angle, accurate enough to be used for production of IKONOS Reference Product (25-meter CE90) orthophotos anywhere in the world where ASTER L1A data and archived IKONOS data are available. The fact that ASTER is low-cost and that stereo IKONOS is not required to extract control points means that derivative products can be made available to the consumer at a lower price than would otherwise be possible.
References
A. Kaab et al (2002). Glacier Monitoring From ASTER Imagery. EARSeL Proceedings, LIS-SIG Workshop, Berne, Switzerland.
J. Grodecki and G. Dial (2002). IKONOS Geometric Accuracy Evaluation. ISPRS Proceedings, Denver, Colorado.
T. Toutin and P. Cheng (2001). DEM Generation With ASTER Stereo Data. Earth Observation Magazine, June 2001.

About the Author
Peter Aniello is a photogrammetrist in the Photogrammetric Engineering Department at Space Imaging in Thornton, Colorado.

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