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The Global Forest/Non-Forest Classification Map from TanDEM-X Interferometric Data

Martone, Michele and Rizzoli, Paola and Gonzalez, Carolina and Bueso Bello, Jose Luis and Zink, Manfred and Krieger, Gerhard and Moreira, Alberto (2018) The Global Forest/Non-Forest Classification Map from TanDEM-X Interferometric Data. In: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR, pp. 1-6. European Conference on Synthetic Aperture Radar (EUSAR), 2018-06-04 - 2018-06-07, Aachen, Deutschland.

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Abstract

In this paper we present the global Forest/Non-Forest Map derived from TanDEM-X bistatic interferometric synthetic aperture radar (InSAR) data. The global TanDEM-X dataset has been acquired in stripmap single HH polarization mode and covers a time span from 2011 up to 2016. The volume correlation factor (or volume decorrelation), derived from the interferometric coherence, quantifies the coherence loss due to multiple scattering within a volume, a mechanism which typically occurs in presence of vegetation. For this reason, the volume correlation factor has been used as main indicator for the identification of forested areas. Quicklook images, a multi-looked version of the original full-resolution data at a ground resolution of 50 m x 50 m, have been used as input for the generation of the global product. The mosaicking process of multiple acquisitions is discussed as well, together with the identification of additional information layers, such as urban areas or water bodies. The resulting global forest/non-forest map has been validated using external reference information, as well as with other existing classification maps, and an overall agreement typically exceeding 90% is observed. The global product presented in this paper is intended to be released to the scientific community for free download and usage.

Item URL in elib:https://elib.dlr.de/119645/
Document Type:Conference or Workshop Item (Speech)
Title:The Global Forest/Non-Forest Classification Map from TanDEM-X Interferometric Data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Martone, MicheleMichele.Martone (at) dlr.dehttps://orcid.org/0000-0002-4601-6599
Rizzoli, PaolaPaola.Rizzoli (at) dlr.dehttps://orcid.org/0000-0001-9118-2732
Gonzalez, Carolinacarolina.gonzalez (at) dlr.dehttps://orcid.org/0000-0002-9340-1887
Bueso Bello, Jose LuisJose-Luis.Bueso-Bello (at) dlr.dehttps://orcid.org/0000-0003-3464-2186
Zink, Manfredmanfred.zink (at) dlr.dehttps://orcid.org/0000-0002-4308-5636
Krieger, GerhardGerhard.Krieger (at) dlr.dehttps://orcid.org/0000-0002-4548-0285
Moreira, AlbertoAlberto.Moreira (at) dlr.dehttps://orcid.org/0000-0002-3436-9653
Date:2018
Journal or Publication Title:Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Page Range:pp. 1-6
Status:Published
Keywords:Interferometric SAR (InSAR), TanDEM-X, Classification, Forest Mapping
Event Title:European Conference on Synthetic Aperture Radar (EUSAR)
Event Location:Aachen, Deutschland
Event Type:international Conference
Event Dates:2018-06-04 - 2018-06-07
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
Microwaves and Radar Institute > Radar Concepts
Deposited By: Martone, Michele
Deposited On:12 Apr 2018 09:23
Last Modified:31 Jul 2019 20:17

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