| 基于高分卫星的一季稻面积遥感估算 |
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| 引用本文： | 石涛,张安伟,杨太明,叶树青,李佳雯,杨元建.基于高分卫星的一季稻面积遥感估算[J].气象与环境学报,2020,36(2):92-97. |
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| 作者姓名： | 石涛 张安伟 杨太明 叶树青 李佳雯 杨元建 |
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| 作者单位： | 1. 芜湖市气象局, 安徽 芜湖 2410002. 安徽省气象局农业气象中心, 安徽 合肥 2300003. 南京信息工程大学遥感与测绘工程学院, 江苏 南京 210044 |
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| 基金项目： | 国家自然科学基金;安徽省气象科技发展基金;科研启动基金 |
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| 摘 要： | 高分一号卫星(GF-1)是中国高分辨率对地观测系统中的重要成员之一,可以提供高空间分辨率的对地观测信息。本文以合肥市为研究范围,根据物候历选择2017年5月下旬和8月上旬的两个时相GF-1影像为研究资料,利用增强型植被指数(EVI)为监测判别指标,并以一季稻成熟期的蓝移现象作为辅助判别条件,构建了种植面积遥感估算模型。结果表明:通过对比验证模型,发现用统计调查数据来验证遥感估算结果的精度为93.2%,用混淆矩阵法来验证的精度和Kappa系数分别为83.7%和0.84。验证精度表明本文构建的遥感估算模型是合理可行的,为安徽省及合肥地区一季稻信息提取和估算提供参考。
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| 关 键 词： | 高分一号 遥感模型 面积估算 植被指数 |
| 收稿时间： | 2018-03-30 |
Estimation of area for single-season rice based on remote sensing of GF-1 satellite |
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| Tao SHI,An-wei ZHANG,Tai-ming YANG,Shu-qing YE,Jia-wen LI,Yuan-jian YANG.Estimation of area for single-season rice based on remote sensing of GF-1 satellite[J].Journal of Meteorology and Environment,2020,36(2):92-97. |
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| Authors: | Tao SHI An-wei ZHANG Tai-ming YANG Shu-qing YE Jia-wen LI Yuan-jian YANG |
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| Institution: | 1. Wuhu Meteorological Service, Wuhu 241000, China2. Agrometeorological Center of Anhui Meteorological Service, Hefei 230000, China3. School of Remote Sensing & Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China |
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| Abstract: | GF-1 satellite, which can provide high-resolution earth observation information, is one of the major members in the high-resolution earth observation system of China.In this study, Hefei city was selected as a case study area.Based on the two GF-1 images at late-May and early-August in 2017, the remote-sensing estimation model for the area of single-season rice was built using the variations of characteristics for different vegetation covers and the blue shift information of rice at maturity.Then, the planting area of the single-season rice in Hefei was estimated based on the model.The estimation accuracy was 93.2%, which were validated by the planting area in the field survey.While the accuracy of estimation of the single-season rice area using the method of the confusion matrix and the Kappa coefficient were 83.7% and 0.84, respectively.In summary, it is feasible that the single-season rice area can be estimated by the remote-sensing model constructed in this study. |
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| Keywords: | GF-1 Remote-sensing model Area estimation Vegetation index |
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