Ground-level digital terrain model (DTM) construction from TanDEM-X InSAR data and WorldView stereo-photogrammetric images

The ground-level digital elevation model (DEM) or digital terrain model (DTM) information are invaluable for environmental modeling, such as water dynamics in forests, canopy height, forest biomass, carbon estimation, etc. We propose to extract the DTM over forested areas from the combination of int...

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Bibliographic Details
Main Authors: Seung-Kuk Lee, Fatoyinbo, Temilola, Lagomasino, David, Osmanoglu, Batuhan, Feliciano, Emanulle
Format: Conference Proceeding
Language:English
Subjects:
Atmospheric modeling
Data models
Digital elevation models
Earth Resources And Remote Sensing
Estimation
Mathematical model
Solid modeling
Surfaces
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Summary:The ground-level digital elevation model (DEM) or digital terrain model (DTM) information are invaluable for environmental modeling, such as water dynamics in forests, canopy height, forest biomass, carbon estimation, etc. We propose to extract the DTM over forested areas from the combination of interferometric complex coherence from single-pass TanDEM-X (TDX) data at HH polarization and Digital Surface Model (DSM) derived from high-resolution WorldView (WV) image pair by means of random volume over ground (RVoG) model. The RVoG model is a widely and successfully used model for polarimetric SAR interferometry (Pol-InSAR) technique for vertical forest structure parameter retrieval [1][2][3][4]. The ground-level DEM have been obtained by complex volume decorrelation in the RVoG model with the DSM using stere-ophotogrammetric technique. Finally, the airborne lidar data were used to validate the ground-level DEM and forest canopy height results.
ISSN:2153-7003
DOI:10.1109/IGARSS.2016.7730578