Towards detecting mowing of agricultural grasslands from multi-temporal COSMO-SkyMed data
作者： Karlis Zalite , Kaupo Voormansik , Jaan Praks , Oleg Antropov , Mart Noorma
DOI: 10.1109/IGARSS.2014.6947638
关键词: Decorrelation 、 Noise level 、 Remote sensing 、 Environmental science 、 Radar remote sensing 、 Interferometry 、 European level 、 Interferometric coherence
摘要: This work investigates applicability of spaceborne repeat-pass interferometric SAR images for detecting mowing events on agricultural fields. Four pairs one-day COSMO-SkyMed acquisitions were analysed and compared to in situ measurements 11 grasslands study the potential X-band temporal coherence events. Field works covered test plots Central Estonia with varying species composition homogeneity. Temporal decorrelation due changes grass height wet biomass was analysed. A nonlinear relationship observed between coherence, as well coherence. Our results show that decreases increases, until reaching a noise level at 25 cm 400 g, respectively. The current shows event from multitemporal is feasible technique could be used monitoring applications European level.
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