Combined Multi-Time Series SAR Imagery and InSAR Technology for Rice Identification in Cloudy Regions
| Autor: | Dong Luo, Shucheng You, Rui Zhang, Tao Zhang, Zhanzhong Tang, Hongxia Luo |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Synthetic aperture radar
cloudy Earth observation Technology multi-time series SAR 010504 meteorology & atmospheric sciences QH301-705.5 QC1-999 0211 other engineering and technologies 02 engineering and technology 01 natural sciences InSAR rice identification remote sensing Interferometric synthetic aperture radar General Materials Science Biology (General) Instrumentation QD1-999 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing Fluid Flow and Transfer Processes Process Chemistry and Technology Physics General Engineering Coherence (statistics) Vegetation Polarization (waves) Engineering (General). Civil engineering (General) Computer Science Applications Identification (information) Chemistry Remote sensing (archaeology) Environmental science TA1-2040 |
| Zdroj: | Applied Sciences, Vol 11, Iss 6923, p 6923 (2021) Applied Sciences Volume 11 Issue 15 |
| ISSN: | 2076-3417 |
| Popis: | The use of remote sensing technology to monitor farmland is currently the mainstream method for crop research. However, in cloudy and misty regions, the use of optical remote sensing image is limited. Synthetic aperture radar (SAR) technology has many advantages, including high resolution, multi-mode, and multi-polarization. Moreover, it can penetrate clouds and mists, can be used for all-weather and all-time Earth observation, and is sensitive to the shape of ground objects. Therefore, it is widely used in agricultural monitoring. In this study, the polarization backscattering coefficient on time-series SAR images during the rice-growing period was analyzed. The rice identification results and accuracy of InSAR technology were compared with those of three schemes (single-time-phase SAR, multi-time-phase SAR, and combination of multi-time-phase SAR and InSAR). Results show that VV and VH polarization coherence coefficients can well distinguish artificial buildings. In particular, VV polarization coherence coefficients can well distinguish rice from water and vegetation in August and September, whereas VH polarization coherence coefficients can well distinguish rice from water and vegetation in August and October. The rice identification accuracy of single-time series Sentinel-1 SAR image (78%) is lower than that of multi-time series SAR image combined with InSAR technology (81%). In this study, Guanghan City, a cloudy region, was used as the study site, and a good verification result was obtained. |
| Databáze: | OpenAIRE |
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