资源简介

摘要： 油菜是中国最重要的农作物之一，准确、及时掌握高精度的油菜面积具有重要意义。与Landsat-8数据相比，新一代光学卫星Sentinel-2A数据具有众多优点，但是Sentinel-2A数据在农作物识别方面的应用效果是否一定优于Landsat-8数据仍然是个未知的问题。因此，以油菜最佳识别期内的Sentinel-2A和Landsat-8影像各一景为数据源，选取种植结构复杂的小尺度都市农业区为研究区，基于影像的光谱特征与植被指数信息利用不同分类方法提取油菜种植面积。通过比较不同分类条件、不同方法下的两种影像的油菜识别精度，结果表明：①Sentinel-2A影像中不同地物的光谱特征差异与植被指数可分离性高于Landsat\|8影像；②支持向量机(SVM)分类器下，Sentinel-2A数据的光谱特征获得的油菜制图精度与用户精度最高，分别为89.7%和91.3%，比同等条件下的Landsat\|8油菜识别精度分别高7.0%和6.2%；③加入纹理信息后，两种数据的总体精度和Kappa系数明显提高，但油菜的制图精度与用户精度并无明显提升。以上结果表明：与Landsat-8数据相比，Sentinel-2A数据能够在种植结构复杂的小尺度区域提取更高精度的作物分布信息。研究结果可以为Sentinel-2A数据的农作物识别与应用提供理论基础。 关键词： Sentinel-2A;  Landsat-8;  光谱特征;  植被指数;  小尺度;  油菜     Abstract: Rape is one of the most important crops for many countries，so it is important to obtain accurate rape area.Compared with Landsat-8 data，Sentinel-2A has many advantages，but whether the results of Sentinel-2A data in crop identification are better than Landsat-8 is still an unknown question.The study site is located in a typical agricultural region：Gaochun District in Nanjing，the capital of Jiangsu Province，China，with central coordinates of 118°52′E and 31°19′N.One Sentinel-2A and one Landsat-8 image were obtained during the flowering stage of rape，and then rape area was extracted by using different classification methods based on spectral characteristics and vegetation indices.By comparing the identification accuracy of two images under different classification conditions and methods，the results show that：(1) The difference of spectral characteristics and separability of vegetation indices of different objects in Sentinel-2A were higher than those of Landsat-8 images；(2) Under the classifier of support vector machine，the Producer’s and User’s accuracy of rape of Sentinel-2A based on spectral characteristics were 89.7% and 91.3% respectively，which were 7.0% and 6.2% higher than the identification accuracy of Landsat-8 data；(3) After adding texture information，the overall accuracy and kappa coefficient of two kinds of data were significantly improved，but there was no increase in the producer’s and user’s accuracy of rape.The result presented in this paper show that compared with Landsat-8 data，Sentinel-2A data is more suitable for extracting crop distribution information in small areas with complex planting structure，which can lay a theoretical foundation for crop identification and application of Sentinel-2A data.

相关资源

1. 水质遥感监测的关键要素叶绿素a的反演算法研究进展
2. 基于无人机遥感技术的森林参数获取研究进展
3. 基于无线传感器网络的森林生态系统观测试验平台构建
4. 基于无人机激光雷达的森林冠层高度分析
5. 多源时序国产卫星影像的森林火灾动态监测
6. 基于无人机遥感技术的台风灾害倒伏绿化树木检测

下载说明

·如果您发现该资源不能下载，请通知管理员.gissky@gmail.com

·为确保下载的资源能正常使用，请使用[WinRAR v3.8]或以上版本解压本站资源,缺省解压密码www.gissky.net ，如果是压缩文件为分卷多文件，请依次下载每一个文件，并按照顺序命名为1.rar,2.rar,3.rar...，然后鼠标右击1.rar解压.

·为了保证您快速的下载速度，我们推荐您使用[网际快车]等专业工具下载.

·站内提供的资源纯属学习交流之用,如侵犯您的版权请与我们联系.