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。
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.
作者
石涛
张安伟
杨太明
叶树青
李佳雯
杨元建
SHI Tao;ZHANG An-wei;YANG Tai-ming;YE Shu-qing;LI Jia-wen;YANG Yuan-jian(Wuhu Meteorological Service,Wuhu 241000,China;Agrometeorological Center of Anhui Meteorological Service,Hefei 230000,China;School of Remote Sensing&Geomatics Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China)
出处
《气象与环境学报》
2020年第2期92-97,共6页
Journal of Meteorology and Environment
基金
国家自然科学基金(41205126)
安徽省气象科技发展基金(KM201722)
南京信息工程大学人才科研启动基金共同资助。
关键词
高分一号
遥感模型
面积估算
植被指数
GF-1
Remote-sensing model
Area estimation
Vegetation index
