期刊文献+

中巴经济走廊2013–2018年地表温度高分辨率反演数据集 被引量:1

A dataset of high-resolution land surface temperature inversion for the China-Pakistan Economic Corridor(2013–2018)
下载PDF
导出
摘要 区域下垫面热力状态是研究防灾减灾、气候变化、环境演变以及人地相互作用等一系列地球科学问题的重要出发点与纽带。地表温度是中巴经济走廊冰川、冻土、水文、生态以及灾害等众多环境问题的关键因子和基础数据。本数据集基于Landsat 8卫星热红外波段,采用多模型集成比较的方法,制备了中巴经济走廊地区2013年以来的高分辨率地表温度反演数据集,空间分辨率为30 m,时间分辨率为16天。采用的模型包括单通道反演模型、双通道劈窗反演模型以及数据融合模型,依据误差最小原则,自动制备了地表温度序列产品。为了控制数据的产品质量,将反演的地表温度与MODIS地表温度产品进行了全面比较。数据抽样结果表明:样本的一致性指数均大于0.84,Kling-Gupta系数在0.72以上。此外,通过对比验证,本数据产品在空间分辨率上具有明显优势。本数据集可用于中巴经济走廊区域地表温度时空变化监测,为科学研究、工程建设以及社会服务提供基础数据资料。 Land surface temperature provides important basic data for research on,for example,hydrology,ecology,climate,natural disasters,environment and resources.A series of scientific issues in earth sciences,including disaster prevention and mitigation,climate change,environmental evolution and human-land interaction,all require a complete understanding of the thermal state of ground surface.Based on the thermal infrared bands of LANDSAT 8,a high-resolution temperature inversion dataset for the China–Pakistan Economic Corridor from 2013 to 2018 was built by using multiple LST inversion models.The data has a spatial resolution of 30 m and a temporal resolution of 16 days.The study uses different models to retrieve land surface temperature data,such as single-channel inversion model,double-channel split-window inversion model and data fusion model.For data quality verification,the temperature data are validated against MODIS MOD11A1 V6 surface temperature products.A sample test shows that the agreement index is greater than 0.84 and the Kling-Gupta coefficient is greater than 0.72.A comparison and verification shows that this data product has a higher spatial resolution.The dataset can be used to study the spatiotemporal change of natural environment,providing basic data for relevant scientific research,engineering construction and social service along the China–Pakistan Economic Corridor.
作者 赵国辉 张耀南 康建芳 Zhao Guohui;Zhang Yaonan;Kang Jianfang(Scientific Big Data Center,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,P.R.China;University of Chinese Academy of Sciences,Beijing 100049,P.R.China;Lanzhou Supercomputing Center,Chinese Academy of Sciences,Lanzhou 730000,P.R.China)
出处 《中国科学数据(中英文网络版)》 CSCD 2019年第3期59-70,共12页 China Scientific Data
基金 国家科技基础条件平台“特殊环境特殊功能观测研究台站共享服务平台”项目(Y719H71001) 中国科学院信息化专项“寒旱区环境演变研究‘科技领域云’的建设与应用”项目(XXH13506)
关键词 中巴经济走廊 地表温度 数据反演 2013–2018 Landsat 8 China-Pakistan Economic Corridor land surface temperature data inversion 2013–2018 Landsat 8
  • 相关文献

参考文献3

二级参考文献39

  • 1覃志豪,LI Wenjuan,ZHANG Minghua,Arnon Karnieli,Pedro Berliner.单窗算法的大气参数估计方法[J].国土资源遥感,2003,15(2):37-43. 被引量:357
  • 2覃志豪,李文娟,徐斌,陈仲新,刘佳.陆地卫星TM6波段范围内地表比辐射率的估计[J].国土资源遥感,2004,16(3):28-32. 被引量:517
  • 3毛克彪,,覃志豪,,王建明,,武胜利,.针对MODIS数据的大气水汽含量反演及31和32波段透过率计算[J].国土资源遥感,2005,17(1):26-29. 被引量:6
  • 4覃志豪,高懋芳,秦晓敏,李文娟,徐斌.农业旱灾监测中的地表温度遥感反演方法——以MODIS数据为例[J].自然灾害学报,2005,14(4):64-71. 被引量:174
  • 5Anderson M C, Allen R G, Morse A and Kustas W P. 2012. Use of Landsat thermal imagery in monitoring evapotranspimtion and man- aging water resources. Remote Sensing of Environment, 122:50-65 [ DOI: 10.1016/j.rse2011.08.025 ].
  • 6Arvidson T, Goward S, Gasch J and Williams D. 2006. Landsat-7 long- term acquisition plan: development and validation. Photogrammetric Engineering and Remote Sensing, 72(10): 1137-1146.
  • 7Arvidson T, Gasch J and Goward S N. 2001. Landsat 7's long-term acquisition plan-an innovative approach to building a global im- agery archive. Remote Sensing of Environment, 78 (1/2): 13 - 26 EDOI: 10.1016/S0034-425701)00263 -21.
  • 8Chander G, Markham B L and Helder D L. 2009. Sununary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALl sensors. Remote Sensing of Environment, 113(5): 893-903 [DOI: lO.lO16/j.rse.2009.01.007 ].
  • 9Chen J, Zhu X L, Vogelmann J E, Gao F and Jin S M. 2011. A simple and effective method for filling gaps in Landsat ETM+ SLC-off im- ages. Remote Sensing of Environment, 115(4): 1053 - 1064 [DOI: 10.1016/j.rse2010.12.010 ].
  • 10Cohen W B and Goward S N. 2004. Landsat's role in ecological applica- tions of remote sensing. BioScience, 54(6): 535-545 E DOI: 10. 1641/O006-3568(2004)054[ 0535:LRIEAO ]2.0.CO',2 ].

共引文献116

同被引文献23

引证文献1

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部