Assessment of radargrammetric DSMs from TerraSAR-X Stripmap images in a mountainous relief area of the Amazon region

• Published in: ISPRS journal of photogrammetry and remote sensing 2011, Vol.66 (1), p.67-72
• Main Authors: de Oliveira, Cleber Gonzales, Paradella, Waldir Renato, da Silva, Arnaldo de Queiroz
• Format: Article
• Language: English
• Subjects: Accuracy; altitude; Animal, plant and microbial ecology; Applied geophysics; Biological and medical sciences; Brazil; Brazilian Amazon; cartography; chi-square distribution; Clouds; DSM; Earth sciences; Earth, ocean, space; Exact sciences and technology; Fundamental and applied biological sciences. Psychology; General aspects. Techniques; Global Positioning System; global positioning systems; Internal geophysics; Mathematical models; monitoring; mountains; nonrenewable resources; precision; rain; renewable resources; Satellite navigation systems; Systematic errors; t-test; Teledetection and vegetation maps; TerraSAR-X Stripmap; Topographic mapping; vegetation
• ISSN: 0924-2716; 1872-8235
• DOI: 10.1016/j.isprsjprs.2010.08.008

The Brazilian Amazon is a vast territory with an enormous need for mapping and monitoring of renewable and non-renewable resources. Due to the adverse environmental condition (rain, cloud, dense vegetation) and difficult access, topographic information is still poor, and when available needs to be updated or re-mapped. In this paper, the feasibility of using Digital Surface Models (DSMs) extracted from TerraSAR-X Stripmap stereo-pair images for detailed topographic mapping was investigated for a mountainous area in the Carajás Mineral Province, located on the easternmost border of the Brazilian Amazon. The quality of the radargrammetric DSMs was evaluated regarding field altimetric measurements. Precise topographic field information acquired from a Global Positioning System (GPS) was used as Ground Control Points (GCPs) for the modeling of the stereoscopic DSMs and as Independent Check Points (ICPs) for the calculation of elevation accuracies. The analysis was performed following two ways: (1) the use of Root Mean Square Error (RMSE) and (2) calculations of systematic error (bias) and precision. The test for significant systematic error was based on the Student’s-t distribution and the test of precision was based on the Chi-squared distribution. The investigation has shown that the accuracy of the TerraSAR-X Stripmap DSMs met the requirements for 1:50,000 map (Class A) as requested by the Brazilian Standard for Cartographic Accuracy. Thus, the use of TerraSAR-X Stripmap images can be considered a promising alternative for detailed topographic mapping in similar environments of the Amazon region, where available topographic information is rare or presents low quality.