The Global Forest/Non-Forest Classification Map from TanDEM-X Interferometric Data
Konferenz: EUSAR 2018 - 12th European Conference on Synthetic Aperture Radar
04.06.2018 - 07.06.2018 in Aachen, Germany
Tagungsband: EUSAR 2018
Seiten: 6Sprache: EnglischTyp: PDFPersönliche VDE-Mitglieder erhalten auf diesen Artikel 10% Rabatt
Martone, Michele; Rizzoli, Paola; Gonzalez, Carolina; Bueso-Bello, Jose-Luis; Zink, Manfred; Krieger, Gerhard; Moreira, Alberto (Microwaves and Radar Institute, German Aerospace Center, Germany)
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), gammaVol, 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 gammaVol 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.