[1] QIN Z, KARNIELI A. Progress in the remote sensing of land surface temperature and ground emissivity using NOAA-AVHRR data[J]. International Journal of Remote Sensing, 1999, 20(12):2367-2393. [2] LI Z L, TANG B H, WU H, et al. Satellite-derived land surface temperature:current status and perspectives[J]. Remote Sensing of Environment, 2013, 131:14-37. [3] DU T J. The fourth assessment report of the intergovern-mental panel on climate change (IPCC)[J]. Political Science & Politics, 2007, 36(3):423-426. [4] 郭会敏, 宫阿都, 何汝艳,等. 遥感地表温度空间分辨率降尺度研究[J]. 遥感信息, 2015, 30(4):29-36. [5] 肖荣波. 城市热岛的生态环境效应[J]. 生态学报, 2005, 25(8):2055-2060. [6] KOTTHAUS S, SMITH T E L, WOOSTER M J, et al. Derivation of an urban materials spectral library through emittance and reflectance spectroscopy[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 94(8):194-212. [7] DENG C B, WU C S. Estimating very high resolution urban surface temperature using a spectral unmixing and thermal mixing approach[J]. International Journal of Applied Earth Observation & Geoinformation, 2013, 23(8):155-164. [8] 刘彬, 张友水. Landsat-8与ZY-3卫星影像降尺度地表温度反演及分析[J]. 遥感信息, 2018,33(4):28-34. [9] 全金玲, 占文凤, 陈云浩,等. 遥感地表温度降尺度方法比较——性能对比及适应性评价[J]. 遥感学报, 2013,17(2):131-157. [10] DENG C, WU C. Examining the impacts of urban biophysical compositions on surface urban heat island:a spectral unmixing and thermal mixing approach[J]. Remote Sensing of Environment, 2013, 131:262-274. [11] LIU K, SU H, LI X. Estimating high-resolution urban surface temperature using a hyperspectral thermal mixing (HTM) approach[J]. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 2017, 9(2):804-815. [12] 聂建亮, 武建军, 杨曦, 等. 基于地表温度-植被指数关系的地表温度降尺度方法研究[J]. 生态学报, 2011,31(17):4961-4969. [13] 李小军, 辛晓洲, 江涛,等. 卫星遥感地表温度降尺度的光谱归一化指数法[J]. 测绘学报, 2017,46(3):353-361. [14] 覃志豪. 用陆地卫星TM6数据演算地表温度的单窗算法[J]. 地理学报, 2001, 56(4):456-466. |