International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Volume XLII-3/W10
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W10, 289–296, 2020
https://doi.org/10.5194/isprs-archives-XLII-3-W10-289-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W10, 289–296, 2020
https://doi.org/10.5194/isprs-archives-XLII-3-W10-289-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  07 Feb 2020

07 Feb 2020

STUDY ON ACCURACY ASSESSMENT OF DEM IN THE MARSH USING WITH INTERFEROMETRIC PALSAR, SENTINEL-1A AND TERRASAR-X IMAGES

B. L. Fu1,2, Y. Li3, E. T. Gao1,2, D. L. Fan1,2, and P. Q. Lou1,2 B. L. Fu et al.
  • 1College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China
  • 2Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin 541004, China
  • 3Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China

Keywords: Marsh, DEM, InSAR technique, Accuracy validation, Interferometric coherence difference

Abstract. To conserve and manage wetland resources, it is important to monitor hydro-geomorphic condition. In this paper, the interferometric SAR images of L-band ALOS-1 PALSAR, C-band Sentinel-1A and X-band TerraSAR were selected to produce DEM of wetland area in the Honghe National Nature Reserve using the InSAR technique. 111 testing points randomly selected from the 1:10000 topographic map were utilized to evaluate accuracy of remote-sensing based DEM. Finally, the interference coherence difference of wetland vegetation among three different wavelengths was compared and analyzed. The results showed that The DEM of wetland area produced by L-band ALOS-1 PALSAR interferometric images was in good agreement with the 1:10,000 topographic map data. The elevation value with the difference less than 3 meters account for over 76% of all testing points. The coherence coefficient of wetland calculated from PALSAR images was higher than Sentinel-1A and TerraSAR images. The coherence coefficient among wetland vegetation types was significantly different. The distribution area of forest and shrub-grass vegetation had a larger coherence coefficient than shallow-water marsh vegetation area and deep-water marsh vegetation area.