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The potential of sentinel-1 InSAR coherence for grasslands monitoring in Eastern Cape, South Africa
International Journal of Applied Earth Observation and Geoinformation ( IF 7.5 ) Pub Date : 2021-02-04 , DOI: 10.1016/j.jag.2021.102306
Ayman Abdel-Hamid , Olena Dubovyk , Klaus Greve

This study evaluates the potential of the repeat-pass synthetic aperture radar interferometry (InSAR) coherence for grasslands monitoring in Eastern Cape Province, in South Africa. We used 12 pairs of InSAR data in the Interferometric Wide swath mode (IW), in VV-polarization (with different spatial baseline B⊥ and different temporal repeat intervals between the subsequent acquisitions), covering grasslands in the study area during two growing seasons; drought season (2015/2016) and non-drought season (2016/2017). Results show that non-drought season has higher variability in the coherence between the different regions of interest (ROIs) than the drought season and higher variability in the backscattering coefficient. Based on our results, we conclude that InSAR-based data have shown potential for grasslands monitoring, and the regularity of Sentinel-1 data is well suited for InSAR applications. However, the potential to separate grasslands from other vegetation categories appears to be limited with longer temporal baselines of 12 days intervals using only Sentinel-1A data. This potential will be improved with the 6 days intervals that will become available with Sentinel-1B in the study area.



中文翻译:

Sentinel-1 InSAR相干性在南非东开普草原监测中的潜力

这项研究评估了重复通行合成孔径雷达干涉测量(InSAR)相干性在南非东开普省草原监测中的潜力。我们在干涉宽幅模式(IW)中以VV极化(具有不同的空间基线B⊥和后续采集之间的时间重复间隔不同)使用了12对InSAR数据,覆盖了两个生长季节中研究区域的草地;干旱季节(2015/2016)和非干旱季节(2016/2017)。结果表明,与干旱季节相比,非干旱季节在不同目标区域(ROIs)之间的相干性具有更高的变异性,而后向散射系数具有更高的变异性。根据我们的结果,我们得出的结论是,基于InSAR的数据显示出了对草原进行监测的潜力,Sentinel-1数据的规律性非常适合InSAR应用。但是,仅使用Sentinel-1A数据,将草原与其他植被类别区分开来的潜力似乎受到限制,因为它们需要间隔12天的较长时间基线。研究区域中的Sentinel-1B将提供6天的间隔,从而提高这种潜力。

更新日期:2021-02-04
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