THREE-DIMENSIONAL MAPPING USING BOTH AIRBORNE AND SPACEBORNE IFSAR TECHNOLOGIES ABSTRACT INTRODUCTION

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THREE-DIMENSIONAL MAPPING USING BOTH AIRBORNE AND SPACEBORNE IFSAR TECHNOLOGIES Trina Kuuskivi Manager of Value Added Products and Services, Intermap Technologies Corp. 2 Gurdwara Rd, Suite 200, Ottawa, ON, Canada, K2E 1A2 tkuuskivi@intermap.com Xiaopeng Li Mapping Scientist, Intermap Technologies Corp. 2 Gurdwara Rd, Suite 200, Ottawa, ON, Canada, K2E 1A2 xli@intermap.com ABSTRACT Interferometric Synthetic Aperture Radar (IFSAR or INSAR) is attracting increased attention in the geospatial world. The technology has matured as a cost-effective tool with its unique operational advantages for threedimensional wide area mapping. IFSAR mapping is being conducted in single-pass mode using two across-track antennae onboard a single platform, or in dual-pass mode with a single antenna passing over the area twice. Singlepass is desirable as it eliminates the temporal decorrelation problem with dual-pass mode. IFSAR mapping can be carried out with either an airborne or a spaceborne implementation. The objective of this paper is to discuss the IFSAR mapping process and spatial accuracy of the products from airborne and spaceborne IFSAR execution. Processes and products of airborne and spaceborne IFSAR mapping are presented. Digital elevation models from both implementations covering the same areas are analyzed in terms of accuracy and detail. How each IFSAR platform compliments each other is also explained. Conclusion and Prospects will also be presented. Keywords: Three-dimensional, Radar Mapping, IFSAR, Digital Elevation Model, SRTM. INTRODUCTION IFSAR (or INSAR) has matured as a powerful three-dimensional (3-D) mapping technology and it is attracting increased attention in the geospatial world. The cost-effectiveness and the unique operational advantages of this technology over other technologies make IFSAR well suited for 3-D wide area mapping. Various IFSAR products are being generated and used for applications traditionally supported by other mapping technologies and the list of applications is growing rapidly. IFSAR mapping can be implemented in single-pass mode using two across-track antennae onboard a single platform, or in dual-pass mode with a single antenna passing over the area twice. Since single-pass eliminates the temporal decorrelation problem associated with dual-pass, it is desirable for practical mapping tasks. In parallel, IFSAR mapping is being carried out with either an airborne or a spaceborne implementation. Intermap s STAR technology and the U.S. National Aeronautics and Space Administration (NASA)/the National Geospatial- Intelligence Agency s (NGA) SRTM (Shuttle Radar Topography Mission) are representative airborne and spaceborne implementations, respectively. This paper discusses the airborne and spaceborne IFSAR execution in terms of the mapping process and performance of the products. The paper is organized in seven sections. Section 1 is this introduction. In Section 2, advantages associated with IFSAR technology are discussed. System implementation of airborne and spaceborne IFSAR is described in Section 3. In Section 4, mapping process and products for both executions are sketched. Section 5 depicts a detailed comparative analysis of the digital elevation models from both implementations covering the same areas. Section 6 explains how both datasets benefit each other. Finally, Section 7 is devoted to conclusions and prospects.

STRENGTHS OF IFSAR MAPPING TECHNOLOGY IFSAR technology uses microwave signal to map the earth in three dimensions. It possesses the following principal strengths compared with other mapping technologies: Weather Independence. Using an active microwave sensor, IFSAR can operate in conditions and environments where other mapping technologies cannot, such as at night, through cloud cover, through light rain or snow and dust. Orthorectified Radar Imagery. IFSAR can also generate orthorectified radar imagery together with DEMs. If available, this imagery is beneficial for users to create other mapping products (e.g. topographic line maps) in a costeffective way and is also useful for many remote sensing applications. Quick Turn-around Time. IFSAR technology can efficiently map large areas in a short time frame due to its weather independence, fast data acquisition and high level of production automation. This is attractive for many emergency-mapping, regional and nation-wide mapping applications. Cost Competency. The cost to generate high resolution and highly accurate mapping products for large areas becomes insurmountable for other mapping technologies when mapping products with similar quality are expected. However, as with any remote sensing technology, IFSAR mapping also has limitations, such as area-like sensing (a single elevation for one ground resolution cell, e.g. 5 x 5 m 2, through the integration process), sidelooking imaging geometry (potential foreshortening, layover, and shadow phenomena), etc. IFSAR service and data providers are adopting various ways to mitigate the effects caused by those limitations (Li et. al., 2004). SYSTEM IMPLEMENTATION OF AIRBORNE AND SPACEBORNE IFSAR MAPPING Single-pass and Dual-pass Mode Three-dimensional IFSAR mapping coherently combines microwave signals collected from two across-track displaced antennae. These antennae can be mounted on a single platform single-pass mode, or with a single antenna passing over the area twice dual-pass mode. While space systems typically use a dual-pass configuration (the notable exception is SRTM), most modern airborne implementations are single-pass across-track execution. Single-pass mode is desirable as it eliminates the primary problem with dual-pass mode the scene and atmosphere change during the period of acquiring both datasets causes temporal decorrelation. Airborne and Spaceborne Implementation Airborne IFSAR implementation commonly uses high-performance business jet or turbo-prop aircraft (e.g. Learjet36, Dornier DO228, Gulfstream) as the platform. Compared with their spaceborne counterparts, airborne IFSAR implementations have many operational advantages such as flexible system deployment, higher spatial resolution, and a lesser degree of influence from the atmosphere. These advantages provide for the creation of a product of greater accuracy. On the other hand, spaceborne IFSAR missions typically utilize the space shuttle as the platform. The only single-pass spaceborne IFSAR execution so far is the SRTM that was a joint effort between the U.S., Germany and Italy. SRTM Spaceborne and STAR-3i Airborne IFSAR Systems While the SRTM (flown during an 11-day mission in February 2000) is the only single-pass spaceborne IFSAR mission (Figure 1), there are many different airborne implementations. Among the airborne systems, Intermap Technologies STAR-3i (Figure 2) is the first commercial implementation and has been in operation since 1996. Table 1 summarizes major technical specifications of the SRTM spaceborne and STAR-3i airborne IFSAR systems.

Figure 1. SRTM Single-pass Spaceborne IFSAR System. Figure 2. STAR-3i Single-pass Airborne IFSAR System.

Table 1. Major Technical Specifications of Typical Airborne and Spaceborne IFSAR Systems Parameters STAR-3i SRTM* X-Band C-Band Platform Learjet 36A Space Shuttle Endeavour (STS-99) Flight altitude 3 ~ 10 km 233 km Ground swath width 3 ~ 10 km 50 km 225 km Center frequency 9.6 GHz (X-Band) 9.6 GHz 5.3 GHz Wavelength 3.1 cm 3.1 cm 5.8 cm Polarization HH VV HH/HV/VH/VV IFSAR Baseline 0.9 m 60 m Image resolution 1.25 m 30 m * Compiled from Japan Aerospace Exploration Agency (JAEA) (1999) IFSAR MAPPING PROCESS AND PRODUCTS IFSAR Mapping Process IFSAR mapping is essentially a process of producing 3-D map products by processing raw radar data collected by IFSAR systems. While there are differences between the airborne and spaceborne IFSAR mapping process, the common thread of IFSAR processes typically consists of: Mission Planning and Data Acquisition. Mission planning translates mission requirements into operating parameters required to complete the mission successfully and effectively. SAR Processing. Signals from two antennae are processed separately and combined later in the interferometric process. Single-look complex image pairs are generated with one image per antenna through an image formation process. Interferometric Processing. An interferogram is created, which is a two-dimensional map of phase difference between the two single-look complex images. To put an IFSAR pixel into 3-D space, the absolute phase must be determined through a phase unwrapping process. Post-Processing. Multiple radar strip images and DEMs are merged into appropriate single image and DEM with a common datum and map projection in a mosaicking process and then cut into to working units (e.g. 7.5 x 7.5 for STAR-3i and 1 o x 1 o for SRTM) for subsequent data editing and finishing. Data editing. Interactive data editing or data finishing, primarily for DEMs, is conducted to detect and correct potential blunders inherent in the dataset, and for quality control purposes. The finished first surface DEM can also be further processed and edited to remove objects such as trees, buildings, and towers etc. Value Adding and Customization. Value adding and customization are conducted to fit-for-purpose, when customers need products that are different from the core products in terms of product types, contents/extents, projection/datum, resolution etc. IFSAR Mapping Products The SRTM acquired radar data covers approximately 80 percent of the Earth's landmass. These data were used in the production of SRTM Digital Terrain Elevation Data (DTED ), a first-surface DEM product. During SRTM production, the data were edited also referred to as finishing delineating and flattening water bodies, better defining coastlines, removing spikes and wells, and filling small voids. The finished SRTM DTED products are distributed and are publicly available as part of the DTED product set through the USGS EROS data center. Readers can find more information on SRTM products in JPL (2005) and USGS (2005). While the publicly available product from the SRTM is DSM, common mapping products from airborne IFSAR mission include digital surface model (DSM), digital terrain model (DTM) and orthorectified radar imagery (ORI). For more details regarding airborne products, readers can refer to Intermap (2005) Intermap's online Product Handbook. Tables 2 and 3 list the major parameters of these products.

Table 2. Product Specifications of SRTM Spaceborne IFSAR Mapping Product DSM Unit Extents (Longitude x Latitude) 1 o x 1 o Post Spacing SRTM DTED Level 1: - 3 x 3 (0 o to 50 o latitude) - 6 x 3 (50 o to 60 o latitude) SRTM DTED Level 2: - 1 x 1 (0 o to 50 o latitude) - 2 x 1 (50 o to 60 o latitude) Absolute Vertical Accuracy 16 m LE90 or 9.7 m RMSE Datum/ Coordinate Systems WGS84/ EGM96/ Geographic Format 16-bit.dt1 /dt2 Table 3. Product Specifications of Intermap s Airborne IFSAR Mapping Product DSM DTM Unit Extents (Longitude x Latitude) 7.5 x 7.5 (0 o to 56 o latitude) 15 x 7.5 (latitude > 56 o ) Post Spacing or Pixel Size 5 m x 5 m (nominal) 5 m x 5 m (nominal) Absolute Accuracy 0.5 m ~ 3.0 m RMSE (vertical) 0.7 m ~ 1.0 m RMSE (vertical) Datum /Coordinate Systems WGS84/ EGM96/ Geographic WGS84/ EGM96/ Geographic Format 32-bit.bil and header info 32-bit.bil and header info ORI 1.25 m x 1.25 m (nominal) 2.0 m RMSE (horizontal) WGS84/ Geographic 8-bit GeoTiff COMPARATIVE ANALYSIS OF DEMS FROM AIRBORNE AND SPACEBORNE IFSAR MAPPING To analyze the characteristics of the above-mentioned DEM products, two test sites were selected where both airborne and spaceborne IFSAR DEMs are available. This section is devoted to discussing the analysis and results. Test Sites Two test sites (Figures 3 and 7) in different continents were chosen for the comparative analysis based on the geographic location, DEM resolution and the terrain conditions (terrain relief, ground coverage etc.) as well as the availability of the test datasets. Table 4 summarizes the major characteristics of the test sites and various datasets used in this study.

Table 4. Two Test Sites for Analysis Test Site Datasets and Specifications Description - SRTM 3 DTED Level 1 and 1 DTED Level 2 - Intermap 5m DSM and DTM - Area: 12 km X 14 km - Location: south of Denver, Colorado, U.S. - Terrain conditions: different types of terrain, e.g. Morrison site - Lidar DEM with a 2-m average point density and a roads, waterways, residential area, mountains etc. 15-cm vertical accuracy - Terrain relief: 1661 ~ 2404 m - Twenty (20) ground control points with 10-cm positional accuracy Sulawesi site - SRTM 3 DTED Level 1 - Intermap 5m DSM - Area: 28 km x 28 km - Location: central Sulawesi, Indonesia - Terrain conditions: a coastal hilly area with mountains being in the east of the area - Terrain relief: 0 ~ 2560 m Procedures of the Analysis The main objective of the comparative analysis is to study the accuracy performance of DEM products from airborne and spaceborne IFSAR executions. The following procedures were followed to analyze the datasets in different test sites: For Morrison site where there are many datasets for study purpose, high-accuracy ground control points (GCPs) were used to compare the vertical accuracy of various DEMs, i.e. Lidar DEM, 5m Intermap DSM and DTM, SRTM DTED Level 1 and Level 2. For both test sites, high-resolution airborne Intermap DEMs were resampled to the same resolution of the SRTM DTED (Level 1 or 2). Difference images were generated using SRTM minus resampled Intermap DEMs. Statistics of the difference images were calculated. In addition, every elevation in the high-resolution Intermap DEMs was compared with the interpolated SRTM DTED elevation, meaning every Intermap DEM post was used as a vertical ground control point. In Sulawesi site, three subsets of different types of terrain, i.e. flat, hilly and mountainous (where there are no voids) were further studied. Different features (e.g. lakes, open areas, highways, overpasses, residential areas) in airborne and spaceborne DEMs were analyzed. Results Morrison Site: Table 5 lists the accuracy evaluation results of various DEMs at Morrison site using eight (8) GCPs (Figure 3). Table 6 contains the comparison results between SRTM DTED Level 1 and 2 based on all 20 GCPs. Statistics associated with the difference image (the right image in Figure 3) (SRTM DTED Level 2 - resampled Intermap DSM) are given in Table 7. Due to the availability of rich test datasets in this site, depiction of different features were also investigated. Figures 4, 5 and 6 illustrate some examples. Sulawesi Site: Figure 7 shows the Sulawesi test site and the difference image of the SRTM DTED Level 1 (3 x 3 ) and resampled Intermap DSM (from 5m original resolution). Table 8 gives the statistics of the difference images, including the whole site and three subsets of different terrain conditions (flat, hilly and mountainous).

Table 5. Vertical Accuracy Evaluation of Different DEMs of Morrison Site SRTM DTED Level 1 (3 x 3 ) SRTM DTED Level 2 (1 x 1 ) Intermap DSM (5m) Intermap DTM (5m) Lidar DEM (2m) Terrain relief 1560 m ~ 4340 m Area 12 km X 14 km Number of GCPs 8 Mean difference (DEM GCP elevation) 3.4 m 2.9 m 1.6 m 0.1 m 0.1 m Maximum difference -1.3 m / 9.0 m -1.5 m / 8.3 m -0.7 m /7.0 m -1.3 m / 3.6 m -0.4 m / 0.5 m RMS difference 4.9 m 4.3 m 2.9 m 1.5 m 0.3 m Table 6. Vertical Accuracy Evaluation of SRTM DTED Level 1 & 2 of Morrison Site SRTM DTED Level 1 (3 x 3 ) SRTM DTED Level 2 (1 x 1 ) Terrain relief Area 1661 m ~ 2404 m 86 km x 110 km Number of GCPs 20 Mean difference 3.9 m 3.3 m Maximum difference -1.3 m / 9.0 m -5.3 m / 8.3 m RMS difference 4.8 m 4.7 m Table 7. Morrison Site Difference Image (SRTM DTED Level 2 resampled airborne DSM) Terrain relief 1664 m ~ 2403 m Area 12 km x 14 km Image dimension 393 x 466 Mean difference 2.5 m Maximum difference -58.0 m / 61.0 m RMS difference 4.8 m

Figure 3. Morrison Site (Left) and Difference Image (Right). (Red squares in the left image are the GCPs) Optical image Intermap 5m DSM Intermap 5m DTM SRTM DTED Level 2 SRTM DTED Level 1 Figure 4. A Lake Depicted in Different DEMs. Optical image Intermap 5m DSM SRTM DTED Level 2 Figure 5. An Open Area with A Stream. Optical image Intermap 5m DSM Intermap 5m DTM SRTM DTED Level 2 SRTM DTED Level 1 Figure 6. Highway and Overpass Depicted in Different DEMs.

Figure 7. Sulawesi Site (Left) and Difference Image (Right) Table 8. Sulawesi Site Difference Statistics (SRTM DTED Level 1 Resampled STAR-3i DSM) Flat Hilly Mountainous Whole Site (difference image) Terrain relief 6 m ~ 31 m 713 m ~ 985 m 1726 m ~ 1895 m 0 m ~ 2560m Area 1.2 km x 1.3 km 1.0 km x 1.1 km 1.2 km x 1.2 km 28 km x 28 km Number of elevations compared / Image dimension Mean difference 58, 985 43, 818 55, 225 304 x 308-0.6 m 0.7 m 0.2 m 0.2 m Maximum difference -16.9 m / 6.4 m -16.1 m / 23.2 m -15.3 m / 32.7m -113 m / 92 m RMS difference 2.0 m 4.9 m 5.6 m 7.8 m Discussions and Observations By analyzing the above test results, we have come up with the following observations: When using highly accurate ground control points as the reference data, Lidar data demonstrate the highest accuracy among all the test datasets with a 30-cm RMSE. On the other hand, it is also the more expensive dataset due to the nature of the technology. The airborne bare-earth DTM (1.5m RMSE) is more accurate than the DSM (2.9 m RMSE) and are both more accurate than the SRTM DTED Level 1 and 2, which validates the subsequent difference analysis between the Intermap DEMs and SRTM DTED s. Although SRTM DTED Level 1 product (3 x 3 ) was derived from the Level 2 product (1 x 1 ), there is no obvious accuracy difference between the two SRTM DTED levels, which is expected due to the nature of the derivation process. Both airborne DSM and SRTM DTED are first-surface DEM, which is clearly demonstrated when compared with the GCPs and the bare-earth counterpart positive mean differences of the statistics. There is no obvious mean difference or systematic error between the airborne and spaceborne DSMs. Generally, the two datasets agree to a high level. However, the RMS differences are ranging from 2 to 8 m. Difference images show that big elevation differences are typically located in the radar shadow areas. The RMS differences get larger when the terrain condition changes from flat to hilly and to mountainous. Extreme elevation differences between the two datasets are caused by terrain change as well as the voids in the SRTM data. Furthermore, elevations of rivers and lakes are sometimes not set to the same values at the same location. The delineation of shoreline is also different, which might be caused different data acquisitions dates and thus different tide. Terrain features (lakes, rivers, highways and overpasses) are much better represented in the airborne DEMs than these in the spaceborne data due to the higher spatial resolution of the airborne data. It can also be

found that most first-surface features (e.g. trees and buildings) were successfully removed from the corresponding DSM during the bare-earth process for airborne execution. In general, the tested vertical accuracy (3 to 5-m RMSE) of the SRTM DTED (both Level 1 and 2) exceeds the mission requirement (16-m LE90 which is equivalent to a 9.7-m RMSE) when compared to GCPs and higher accuracy Intermap DEMs. SPACEBORNE AND AIRBORNE IFSAR DATA AND HOW THEY BENEFIT EACH OTHER Once SRTM data became publicly available Intermap Technologies made full use of the DTED in all aspects of its own IFSAR process. SRTM data is now being used for mission planning, interferometric processing (IP) and QC. For mission planning, SRTM data can be used to determine terrain variations and establish the amount of overlap needed between airborne passes. Having such an accurate and homogenous DSM will prevent data gaps between passes because the SRTM elevation data can aid in determing the resulting footprint for a set altitude. Before SRTM data was available Intermap Technologies had to rely on other sources such as GTOP30 data with a post spacing of one kilometer. SRTM data can also be used to determine the slope surface, minimum, maximum and mean elevation of the area Intermap is acquiring. Furthermore, SRTM data also allows the mission planner to determine if and where secondary look is needed. SRTM elevation data is also being used in Intermap s interferometric processing (IP). SRTM data is being utilized as seed points for phase unwrapping during IP. Before SRTM became available the only DEM available in some parts of the world was GTOP30. In these areas QA of IP would increase looking for missing islands and other phase unwrapping issues. SRTM elevation is also used as height reference dataset during IP. There have also been cases when SRTM data has proven to be a valuable QA tool for Intermap. Intermap s Independent Verification and Validation (IV&V) group compared Intermap s IFSAR DEM to National Elevation Dataset (NED) in an area in California. IVV noted large vertical discrepancy larger than 100m in localized areas between the two datasets. To determine what was occurring, SRTM DTED Level 2 was brought in for comparison. Once the three elevation datasets were compared, it was evident that the NED data was incorrect in this area and not the Intermap DTM. As you can see in Figure 8 and 9 when SRTM DTED Level 2 and Intermap DEM was compared to NED a large difference was noted. However it is also evident in Figure 10 there is no large difference between SRTM DTED Level 2 and Intermap DTM.

Figure 8. Intermap DTM & NED Difference Figure 9. SRTM DSM & NED Difference Figure 10. SRTM DSM & Intermap DTM Difference Once SRTM Void filling Phase 2 production started it was evident that Intermap data would be beneficial filling voids or missing data in the SRTM dataset. SRTM data contains voids due to sensitive interaction of radar energy with ground targets. Some voids of these were filled during initial SRTM Phase 1 production when water was edited however in the final product void regions are still evident. Intermap s DEMs also contain voids but due to the different look angles between the two sensors the voids are normally located in different locations therefore complimenting each other. NGA s holdings of Intermap s DSMs have been converted to DTED Level 2 for use in SRTM s void filling program. CONCLUSIONS AND PROSPECTS While airborne and spaceborne IFSAR mapping technologies are competing with each other and with other mapping technologies for given domains, they are largely complementary for many geospatial applications. Products from both IFSAR implementations are finding applications in many traditional mapping fields and non-traditional markets where geospatial information plays an indispensable role. Comparing with spaceborne data, airborne IFSAR mapping products provide more accurate and more detailed terrain depiction that are necessary for many applications possible only with such high-quality DEMs. On the other hand, DEM products from spaceborne SRTM globally available at low cost with medium resolution and

reasonable accuracy can be used cost-effectively for many regional applications where high accuracy and resolution are not paramount. With the increased awareness of the availability and applicability of IFSAR mapping products, the application list will become longer. Research is underway to study the combined use of medium- and high-resolution DEM for different applications and to investigate the performance difference between the different resolution DEM products. REFERENCES Intermap (2005). http://www.intermap.com/images/handbook/producthandbook.pdf JAEA (1999). http://iss.sfo.jaxa.jp/shuttle/flight/sts99/mis_srtm_e.html (accessed on July 12, 2005). Li, X., K. Tennant, and G. Lawrence (2004). Three-dimensional mapping with airborne IFSAR based STAR technology Intermap's experiences. In: Proceedings of XXth ISPRS Congress, July 12-23, Istanbul, Turkey, 2004. JPL (2005). http://www2.jpl.nasa.gov/srtm/ (accessed on May 20, 2005). USGS (2005). http://srtm.usgs.gov/ (accessed on May 20, 2005).