Potential of forest monitoring with multi-temporal TANDEM-X height models

M. Schlund, Collins B. Kukunda, Sabine Baumann, Birgit Wessel, Nadine Kiefl, Felicitas von Poncet

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Multi-temporal analysis of canopy surface heights has high potential for a forest
monitoring system. TanDEM-X interferometric synthetic aperture radar (InSAR) heights provide a global data source for a multi-temporal height analysis as two global coverages from the global digital elevation model (DEM) phase 2010-2014 and the Change DEM phase 2017-2020 exist. However, the potential of estimating small scale and subtle changes with TanDEM-X heights is to date
underexplored. The detection of subtle changes was assessed in this study. Penetration depth estimations were applied as a first step in a framework to avoid pseudo-changes based on errors and different acquisition properties. The
results suggest that subtle changes are detectable, but an improved error assessment is necessary in order to provide a detection with high accuracy.
Original languageEnglish
Title of host publication2020 IEEE International Geoscience and Remote Sensing Symposium
PublisherIEEE
Pages308-311
Number of pages4
ISBN (Electronic)978-1-7281-6374-1
ISBN (Print)978-1-7281-6375-8
DOIs
Publication statusPublished - Sep 2020
Externally publishedYes
Event 2020 IEEE International Geoscience and Remote Sensing Symposium - , United States
Duration: 26 Sep 20202 Oct 2020

Publication series

NameIEEE International Symposium on Geoscience and Remote Sensing (IGARSS)
PublisherIEEE
ISSN (Print)2153-6996
ISSN (Electronic)2153-7003

Conference

Conference 2020 IEEE International Geoscience and Remote Sensing Symposium
Abbreviated titleIGARSS 2020
CountryUnited States
Period26/09/202/10/20

Keywords

  • ITC-CV

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