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玉龙雪山地区地表三维温度场时空变化分析
引用本文:谢俊峰,莫凡,奚绍礼,唐洪钊,褚存. 玉龙雪山地区地表三维温度场时空变化分析[J]. 生态学报, 2021, 41(7): 2548-2556
作者姓名:谢俊峰  莫凡  奚绍礼  唐洪钊  褚存
作者单位:自然资源部国土卫星遥感应用中心, 北京 100048;辽宁技术工程大学测绘与地理科学学院, 阜新 123000;重庆交通大学土木工程学院 重庆 400074;辽宁科技大学土木工程学院, 鞍山 114000
基金项目:国家国防科技工业局预先研究项目(D040105,D040106);科技部重点研发计划(2018YFB0504800);科技部重点研发计划国际合作项目(2020YFE0200800)
摘    要:玉龙雪山属于海洋型冰川,对全球气候变化敏感,具有重要的生态研究价值。为了获取玉龙雪山地区的地表温度变化情况,提出了一种基于地表三维温度场的定量分析方法。首先,采用高分辨率立体测绘卫星影像构建数字表面模型,作为三维底图参考,并利用多时序热红外卫星影像数据反演地表温度场模型,提供地表温度变化依据;然后,在统一参考坐标系下将数字表面模型和多时序地表温度场模型套合,准确地分析地表温度时空变化情况。试验利用1987年至2018年间同一季节的Landsat卫星遥感影像反演地表温度,结合资源三号卫星立体影像构建的数字表面模型,并采用四阶温度区间分析多时序范围内玉龙雪山地区的地表温度变化情况。试验结果表明玉龙雪山低温区和次低温区面积逐渐减小,减小速度分别为2.096 km2/a和2.662 km2/a,中温区和暖温区面积逐渐增大,增大速度分别为2.902 km2/a和1.703km2/a,玉龙雪山地区的地表温度呈现整体上升的趋势,为全球生态环境变化提供参考。

关 键 词:玉龙雪山  数字表面模型  地表温度反演  三维温度场  时空变化
收稿时间:2020-02-23
修稿时间:2020-12-03

Spatial and temporal variation of 3D temperature field in Yulong Snow Mountain area
XIE Junfeng,MO Fan,XI Shaoli,TANG Hongzhao,CHU Cun. Spatial and temporal variation of 3D temperature field in Yulong Snow Mountain area[J]. Acta Ecologica Sinica, 2021, 41(7): 2548-2556
Authors:XIE Junfeng  MO Fan  XI Shaoli  TANG Hongzhao  CHU Cun
Affiliation:Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, China;School of Surveying and Geographical Science, Liaoning Technical University, Fuxin 123000, China;College of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China;College of Civil Engineering, Liaoning University of Science and Technology, Anshan 114000, China
Abstract:The Yulong Snow Mountain is characterized by marine glaciers, which is sensitive to earth''s climate change and has important ecological research value. To study the variation of surface temperature in the Yulong Snow Mountain area, a quantitative analysis method based on a three-dimensional (3D) surface temperature field is proposed in this paper. The digital surface model is constructed using high-resolution stereo mapping satellite images to provide accurate 3D terrain reference. Multi-temporal thermal infrared satellite image data are used to invert the surface temperature field model to provide a basis for the change of surface temperature. The digital surface model is combined with the multi-temporal surface temperature field model to analyze the spatio-temporal variation of surface temperature in detail. Based on Landsat satellite images acquired by same season from 1987 to 2018, a digital surface model is constructed by inversion of surface temperature and 3D images of the ZY3 satellite. The fourth order temperature interval was used to analyze the surface temperature variation in the Yulong Snow Mountain. The low temperature area and the sub-low temperature area are shrinking with a speed of 2.096 km2/a and 2.662 km2/a, respectively. The medium temperature area and the warm temperature area are expanding with a speed of 2.902 km2/a and 1.703 km2/a within the experimental area in recent years. The multi-temporal surface temperature changes in the Yulong Snow Mountain area are analyzed. The results show that the climate is warming around the Yulong Snow Mountain area, and could provide reference for global ecological environment change.
Keywords:Yulong Snow Mountain  digital surface model  surface temperature inversion  three-dimension temperature field  spatial and temporal variation
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