The normalised Sentinel-1 Global Backscatter Model, mapping Earth's land surface with C-band microwaves

被引:65
作者
Bauer-Marschallinger, Bernhard [1 ]
Cao, Senmao [1 ,2 ]
Navacchi, Claudio [1 ]
Freeman, Vahid [1 ,3 ]
Reuss, Felix [1 ]
Geudtner, Dirk [4 ]
Rommen, Bjorn [4 ]
Vega, Francisco Ceba [4 ]
Snoeij, Paul [5 ]
Attema, Evert [6 ]
Reimer, Christoph [2 ]
Wagner, Wolfgang [1 ,2 ]
机构
[1] Tech Univ Wien, Dept Geodesy & Geoinformat, A-1040 Vienna, Austria
[2] Earth Observat Data Ctr Water Resources Monitorin, A-1030 Vienna, Austria
[3] Spire Global, Space Program, L-2763 St Zithe, Luxembourg
[4] European Space Agcy, European Space Res & Technol Ctr, NL-2201 AZ Noordwijk, Netherlands
[5] Airbus Def & Space, NL-2333 CS Leiden, Netherlands
[6] European Space Agcy, NL-2200 AG Noordwijk, Netherlands
关键词
FOREST BIOMASS; SAR; COVER; RETRIEVAL;
D O I
10.1038/s41597-021-01059-7
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
We present a new perspective on Earth's land surface, providing a normalised microwave backscatter map from spaceborne Synthetic Aperture Radar (SAR) observations. The Sentinel-1 Global Backscatter Model (S1GBM) describes Earth for the period 2016-17 by the mean C-band radar cross section in VV- and VH-polarisation at a 10 m sampling. We processed 0.5 million Sentinel-1 scenes totalling 1.1 PB and performed semi-automatic quality curation and backscatter harmonisation related to orbit geometry effects. The overall mosaic quality excels (the few) existing datasets, with minimised imprinting from orbit discontinuities and successful angle normalisation in large parts of the world. Regions covered by only one or two Sentinel-1 orbits remain challenging, owing to insufficient angular variation and not yet perfect sub-swath thermal noise correction. Supporting the design and verification of upcoming radar sensors, the obtained S1GBM data potentially also serve land cover classification and determination of vegetation and soil states. Here, we demonstrate, as an example of its potential use, the mapping of permanent water bodies and evaluate against the Global Surface Water benchmark.
引用
收藏
页数:18
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