Share Email Print
cover

Journal of Applied Remote Sensing • Open Access

Developing an algorithm for enhancement of a digital terrain model for a densely vegetated floodplain wetland
Author(s): Dorota Mirosław-Świątek; Sylwia Szporak-Wasilewska; Robert Michałowski; Ignacy Kardel; Mateusz Grygoruk

Paper Abstract

Airborne laser scanning survey data were conducted with a scanning density of 4  points/m2 to accurately map the surface of a unique central European complex of wetlands: the lower Biebrza River valley (Poland). A method to correct a degrading effect of vegetation (so-called “vegetation effect”) on digital terrain models (DTMs) was applied utilizing remotely sensed images, real-time kinematic global positioning system elevation measurements, topographical surveys, and vegetation height measurements. Geographic object-based image analysis (GEOBIA) was performed to map vegetation within the study area that was used as categories from which vegetation height information was derived for the DTM correction. The final DTM was compared with a model obtained, where additional correction of the “vegetation effect” was neglected. A comparison between corrected and uncorrected DTMs demonstrated the importance of accurate topography through a simple presentation of the discrepancies arising in features of the flood using various DTM products. An overall map classification accuracy of 80% was attained with the use of GEOBIA. Correction factors developed for various types of the vegetation reached values from 0.08 up to 0.92 m and were dependent on the vegetation type.

Paper Details

Date Published: 12 August 2016
PDF: 16 pages
J. Appl. Rem. Sens. 10(3) 036013 doi: 10.1117/1.JRS.10.036013
Published in: Journal of Applied Remote Sensing Volume 10, Issue 3
Show Author Affiliations
Dorota Mirosław-Świątek, Warsaw Univ. of Life Sciences SGGW (Poland)
Sylwia Szporak-Wasilewska, Warsaw Univ. of Life Sciences SGGW (Poland)
Robert Michałowski, Warsaw Univ. of Life Sciences SGGW (Poland)
Ignacy Kardel, Warsaw Univ. of Life Sciences SGGW (Poland)
Mateusz Grygoruk, Warsaw University of Life Sciences—SGGW (Poland)


© SPIE. Terms of Use
Back to Top