Understanding the Temporal Dynamics of Coherence and Backscattering using Sentinel-1 Imagery for Crop-Type Mapping

This study investigates the application of coherence and backscattering, derived from time-series Sentinel-1 synthetic aperture radar (SAR) imagery of a crop season (18 scenes with a 12-day revisit cycle), for crop growth monitoring and classification in the agricultural region of Southwestern Ontar...

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Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing 2024-01, Vol.17, p.1-19
Hauptverfasser:	Zhao, Qinxin, Xie, Qinghua, Peng, Xing, Lai, Kunyu, Wang, Jinfei, Fu, Haiqiang, Zhu, Jianjun, Song, Yang
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Agriculture Backscatter Backscattering Classification Coefficients Coherence Crop classification Crop growth crop monitoring Crops Dual polarization radar interferometric coherence Mapping Monitoring polarimetric backscattering Polarization Radar imagery Radar imaging Radar polarimetry SAR (radar) Soil Synthetic aperture radar synthetic aperture radar (SAR) Temporal variations Time series Vegetation mapping
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