Potential of Forest Monitoring with Multi-Temporal TANDEM-X Height Models
| Autor: | Sabine Baumann, Nadine Kiefl, Felicitas von Poncet, Collins B. Kukunda, Michael Schlund, Birgit Wessel |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Synthetic aperture radar
010504 meteorology & atmospheric sciences DEM 0211 other engineering and technologies Phase (waves) 02 engineering and technology 15. Life on land 01 natural sciences InSAR forest Lidar Interferometric synthetic aperture radar change Environmental science Coherence (signal processing) TanDEM-X Penetration depth Scale (map) Digital elevation model 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | IGARSS |
| DOI: | 10.1109/igarss39084.2020.9323862 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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