The influence correction of boreal forest vegetation on SRTM data

The digital elevation model based on SRTM is very convenient for a wide range of studies but requires correction due to the influence of forest vegetation. The present study was conducted to analyse the effect of boreal forests on altitudes, aspects and slopes calculated from the SRTM. A DEM based on topographic maps at 1:100 000 scale was used as a reference. The linear regression analysis showed low data correlation in forested areas. The presence of different types of forests and felling in the woods leads to a complex distribution of deviations from the SRTM. A simple correction method was proposed, using a forest mask, built according to Landsat, and forest heights indicated on the topographic maps. After correction, the correlation coefficient between the altitudes increased by 0.05–0.14, the share of matching aspects by 1–4% and the share of matching slopes by 2–8%. © 2017 Informa UK Limited, trading as Taylor & Francis Group.

Authors
Zhogolev A.1 , Savin I. 2
Publisher
Taylor and Francis Ltd.
Number of issue
6
Language
English
Pages
573-586
Status
Published
Volume
33
Year
2018
Organizations
  • 1 Dokuchaev Soil Science Institute, Moscow, Russian Federation
  • 2 Agrarian-Technological Institute of RUDN, Moscow, Russian Federation
Keywords
boreal forest; correction; Landsat; SRTM; topographic maps
Date of creation
19.10.2018
Date of change
19.10.2018
Short link
https://repository.rudn.ru/en/records/article/record/6605/
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