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Tree Height Estimation with Global TanDEM-X Products: Digital Elevation Model (DEM) and Forest/Non-Forest Map

Ranade, Maitreya (2018) Tree Height Estimation with Global TanDEM-X Products: Digital Elevation Model (DEM) and Forest/Non-Forest Map. Master's, University of Würzburg.

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Abstract

The TanDEM-X mission represents a unique source of interferometric Synthetic Aperture Radar (InSAR) products on a global scale. Out of many TanDEM-X global products, Digital Elevation Model (DEM) and Forest/Non-Forest (FNF) Map were exploited to estimate the tree height. The elevation provided by the DEM was combined with the information provided by the Forest/Non-Forest Map, where areas with and without forest are well identified. Different approaches were invented, implemented, tested and validated in order to estimate the tree height. Along with the two products, different SAR Parameters were used to improve the classification provided by the Forest/Non Forest (FNF) Map. Elevation information in the separated forested and non-forested areas, is used separately for estimating tree height. Different approaches of the tree height estimation, suggested by the author include interpolation methods to generate Digital Terrain Mode (DTM), line by line approach, dilation approach and separation of the frequency components in various domains. The idea is to exploit and combine the information provided by both global products to estimate the tree height for different types of forests. Upon validation over multiple test-sites, high performing approaches can be implemented on a larger scale to obtain another global product: Global Tree Height. This will open a new path of possible applications, ranging from biomass research to forest degradations detection.

Item URL in elib:https://elib.dlr.de/118708/
Document Type:Thesis (Master's)
Title:Tree Height Estimation with Global TanDEM-X Products: Digital Elevation Model (DEM) and Forest/Non-Forest Map
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Ranade, MaitreyaUNSPECIFIEDUNSPECIFIED
Date:July 2018
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Number of Pages:73
Status:Published
Keywords:Forestry, interferometric SAR (InSAR), land use classification, Synthetic Aperture Radar (SAR).
Institution:University of Würzburg
Department:Institute for Informatics
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Projekt TanDEM-X
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Spaceborne SAR Systems
Deposited By: Bueso Bello, Jose Luis
Deposited On:02 Feb 2018 10:49
Last Modified:22 Oct 2018 14:35

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