资源简介

摘要： Landsat热红外系列数据是地表温度反演的一项重要数据源。以齐齐哈尔市辖区为研究区域，基于2002、2008和2016年Landsat TM/ETM+/TIRS系列数据，分别采用单窗算法（MW算法）、单通道算法（SC算法）和辐射传输方程法（RTE算法）进行地表温度反演及对比分析，并利用MODIS地表温度产品对反演结果进行精度验证。结果表明：①基于Landsat 系列数据，3种算法反演得到的地表温度的空间分布状况一致，总体上市区地表温度较高，水体区域温度最低；②基于ETM+数据，SC和RTE算法结果一致性较好，其中SC算法精度最高，MW算法在不同地物覆被区误差均较大；③MW算法基于TM数据反演精度最高，RTE算法次之，SC算法较差；④基于Landsat 8 TIRS数据，SC算法精度最高，RTE算法误差较大。 关键词： Landsat 数据;  地表温度反演;  单窗算法;  单通道算法;  辐射传输方程法;  MODIS地表温度产品     Abstract: Land Surface Temperature（LST)is considered to be one of the significant indicators of urban environment analysis.Landsat  thermal infrared series data is an important data source for retrieving surface temperature.In this paper，the thermal infrared band of the Landsat  data in 2002，2008 and 2016 were used to retrieve LST by three different algorithms in municipal area of Qiqihar，China.These algorithms were the Mono-Window algorithm（MW algorithm)，the Single Channel algorithm（SC algorithm) and the Radiation Transport Equation method（RTE algorithm).And the results of the retrieval were compared to each other and verified by MODIS surface temperature products.The LST distribution maps were accomplished according to the retrieval results.The results showed that：(1)The spatial distribution of the LST obtained by the retrieval of the Landsat  series by the three algorithms is consistent，and the LSTof the urban center is higher and thetemperature of water is the lowest；(2)Based on ETM+ data，the consistency between SC and RTE algorithm results is good，among which the SC algorithm has the highest precision，and the MW algorithm has large errors in different land cover areas；(3)The retrieval results by MW algorithm based on the TM data has the highest accuracy，RTE algorithm results is second，and the LST form SC algorithm is less consistent with the corresponding MODIS temperature products；(4)Based on the Landsat  8 TIRS data，the SC algorithm has the highest accuracy and the RTE algorithm has a large error.

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.