| 基于Landsat-8和LSMM的冬小麦面积提取研究——以皖北为例 |
| |
| 引用本文： | 石 涛,张 丽,杨元建.基于Landsat-8和LSMM的冬小麦面积提取研究——以皖北为例[J].麦类作物学报,2015,35(12):1727-1732. |
| |
| 作者姓名： | 石 涛 张 丽 杨元建 |
| |
| 作者单位： | （1. 安徽省芜湖市气象局，安徽芜湖241000；2.安徽省气象科学研究所农业气象灾害评估及风险转移实验室，安徽合肥 230031） |
| |
| 基金项目： | 国家自然科学基金项目(41205126)；安徽省气象科技发展基金项目（KM201520） |
| |
| 摘 要： | 美国国家航空航天局（NASA）成功发射了最新系列的陆地卫星（Landsat-8），搭载的陆地成像仪（OLI）对波段进行了重新调整，从而避免了大气吸收干扰，能够更好地区分植被和无植被特征，为农业遥感提供了全新的高质量数据。本文选取皖北（阜阳、蚌埠、宿州）为研究区域，以Landsat-8遥感影像为研究数据，经缨帽变换得到遥感影像的主成分信息，并用其分量甄选出不同地物的端元，最后建立线性混合像元模型（LSMM），并对皖北地区冬小麦进行提取。与历史统计数据对比，冬小麦种植面积的提取精度达到了90%以上,说明利用Landsat-8和LSMM开展大尺度范围的小麦种植面积提取具有明显的优势。
|
| 关 键 词： | Landsat-8 冬小麦 面积提取 混合像元 线性模型 |
Study on Extraction of Winter Wheat Area Based on Landsat-8 and LSMM in Case of Northern Anhui |
| |
| SHI Tao,ZHANG Li,YANG Yuanjian.Study on Extraction of Winter Wheat Area Based on Landsat-8 and LSMM in Case of Northern Anhui[J].Journal of Triticeae Crops,2015,35(12):1727-1732. |
| |
| Authors: | SHI Tao ZHANG Li YANG Yuanjian |
| |
| Abstract: | National Aeronautics and Space Administration (NASA) successfully launched the latest land satellite (Landsat-8). The band of operational land imager(OLI) was adjusted to avoid atmospheric absorption interference and can distinguish vegetation from no vegetation features better,thereby it provided a new high-quality data for agricultural remote sensing. This study selected the northern Anhui (Fuyang,Bengbu,Suzhou) as the study area and took Landsat-8 remote sensing image as the research data,and principal component information was used to extract pure/mixed pixel of winter wheat though tasseled cap transformation in order to select the end-member of different objects. Finally,the winter wheat planting area of northern Anhui was calculated by establishing linear spectral mixture model(LSMM),and the accuracy exceed 90% after verification. In summary,the extraction of winter wheat area based on Landsat-8 and LSMM in large scale range had obvious advantages. |
| |
| Keywords: | Landsat-8 Winter wheat Area extraction Mixed pixel LSMM |
| 本文献已被 万方数据 等数据库收录！ |
| 点击此处可从《麦类作物学报》浏览原始摘要信息 |
| 点击此处可从《麦类作物学报》下载免费的PDF全文 |
