Digital surface model generation using optimal RADARSAT-2 images

Remote Predictive Mapping can be used to map geological potential to help with the logistical challenges of mineral exploration. Elevation information is necessary for this purpose, but current elevation data for Northern Canada needs to be improved. This paper presents a method for creating stereoradargrammetric digital surface models (DSM) using Radarsat-2 (R-2) images. The study site is a 23 000 km2 area located east of Great Slave Lake in the Northwest Territories. First, a filtering method was developed to provide vertical accuracy for the DSM from ICESat elevation points. Then, from the 148 wide-ultrafine R-2 images, pairs were identified for stereorestitution. Sub-DSM were assembled after denoising and lake flattening. The filtering method led to a vertical accuracy increase of 1.05 m evaluated with current data. The generated DSM showed better resolution (15 m vs 20 m) and better vertical accuracy (5 m vs 6 m) than available elevation sources.

[1]  Timo Balz,et al.  Satellite SAR geocoding with refined RPC model , 2012 .

[2]  Ralph R. Martin,et al.  Fast and Effective Feature-Preserving Mesh Denoising , 2007, IEEE Transactions on Visualization and Computer Graphics.

[3]  Thierry Toutin,et al.  Evaluation of radargrammetric DEM from RADARSAT images in high relief areas , 2000, IEEE Trans. Geosci. Remote. Sens..

[4]  Daniel Clavet,et al.  Accuracy Assessment of Canadian Digital Elevation Data using ICESat , 2009 .

[5]  Thierry Toutin,et al.  Stereo Radargrammetry With Radarsat-2 in the Canadian Arctic , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[6]  Thierry Toutin,et al.  State-of-the-art of elevation extraction from satellite SAR data , 2000 .

[7]  H. Jay Zwally,et al.  Precision and Accuracy of Satellite Radar and Laser Altimeter Data Over the Continental Ice Sheets , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[8]  J. Harris,et al.  Remote Predictive Mapping 1. Remote Predictive Mapping (RPM): A Strategy for Geological Mapping of Canada’s North , 2007 .

[9]  Ron Kwok,et al.  ICESat measurements of sea ice freeboard and estimates of sea ice thickness in the Weddell Sea , 2008 .

[10]  Thierry Toutin,et al.  Error tracking of radargrammetric DEM from RADARSAT images , 1999, IEEE Trans. Geosci. Remote. Sens..

[11]  Thierry Toutin,et al.  Radarsat-2 DSM Generation With New Hybrid, Deterministic, and Empirical Geometric Modeling Without GCP , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[12]  Xianfang Sun,et al.  Despeckling SRTM and other topographic data with a denoising algorithm , 2010 .

[13]  Gerhard Krieger,et al.  Definition of ICESat Selection Criteria for Their Use as Height References for TanDEM-X , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[14]  Hongjie Xie,et al.  A novel solution for outlier removal of ICESat altimetry data: a case study in the Yili watershed, China , 2013, Frontiers of Earth Science.