EXTRACTION OF RICR FROM LINGAO COUNTY OF HAINAN PROVINCE BASED ON SENTINEL-1A RADAR DATA
文献类型：会议论文
| 作者 | Liu JingJian; Li HongZhong; Chen JingSong; Hua Cui |
| 出版日期 | 2018 |
| 会议日期 | 2018 |
| 会议地点 | 杭州 |
| 英文摘要 | The fragmented land use is small and the distribution of rice is broken. Besides, the rainfall with larger and the cloud pollution is more serious in the southern area. The optical remote sensing data is easily disturbed by cloud and rain, further increasing the difficulty of rice yield estimation form optical remote sensing data. Therefore, In order to accurately and quantitatively monitor the spatial distribution information of rice planting, the study takes Lingao County of Hainan Province as the research area and uses the 113 scene C band dual polarized Sentinel-1A radar image data (free use) with the resolution of 5×20m in 2017. The results showed that the surface canopy of the crops increased gradually during the growth of rice, and the surface water content decreased gradually, which resulted in the increase of the backscatter coefficient of rice, in which the change of VH polarization was obvious. In order to reduce the backscattering coefficient of the water body affected by the water body, the normalization treatment of water body is proposed, that is （PVV/VH-TVV/VH）/（PVV/VH+ TVV/VH）, P is the VV and VH data of a certain period, and T is the mean of the VV and VH in a certain period. Through the change characteristics and index, we found that only rice has obvious change trend in the normalization data of VV and VH in time series. By 03 month 10, 03 months 22, 04 month 03, 04 month 17, 05 month 09, we can distinguish rice crops with other crops, vegetation and residential areas. The results show that the best monitoring coefficient for extracting rice from time series radar data is the normalized value of VH polarization. Rice is mainly distributed in the southwest and central parts of the north, and the rest is scattered. The total extraction accuracy is 85.52%. |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/14108]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 推荐引用方式 GB/T 7714 | Liu JingJian,Li HongZhong,Chen JingSong,et al. EXTRACTION OF RICR FROM LINGAO COUNTY OF HAINAN PROVINCE BASED ON SENTINEL-1A RADAR DATA[C]. 见:. 杭州. 2018. |
入库方式： OAI收割
来源：深圳先进技术研究院
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