干旱区生态环境知识资源中心(Arid): Variation of the land surface temperature field in rare-Earth ore mining areas based on temperature downscaling

Arid

DOI	10.1016/j.asr.2022.02.010
	Variation of the land surface temperature field in rare-Earth ore mining areas based on temperature downscaling
	Li, Hengkai; Li, Yingshuang; Song, Shuihong; Wu, Guanhua
通讯作者	Li, HK
来源期刊	ADVANCES IN SPACE RESEARCH
ISSN	0273-1177
EISSN	1879-1948
出版年	2022
卷号	69 期号:9 页码:3268-3282
英文摘要	During the mining process of ionic rare earth elements (REE), mining disturbances, such as land surface excavation, stripped vegetation, injection holes, and tailings discharge, have led to large-scale vegetation degradation and land desertification, ultimately resulting in land surface temperature (LST) differentiation. The surface thermal anomaly is an important ecological parameter, and its spatiotemporal variation has become a powerful tool for identifying surface ecological disturbance. Because the REE mining areas have the characteristics of scattered ore and small areas, it is of great value to obtain LST data with strong practicality and high spatial resolution for sustainable ecological environment monitoring. In this study, the Lingbei mining area in Dingnan County, Ganzhou, China was selected as the study area. Via the use of Landsat and GaoFen-1 (GF-1) remote sensing images, and based on data fusion and the mixed-pixel decomposition method, the temperature downscaling with image fusion and spectral unmixing (TDIFSU) model and the temperature downscaling with data fusion and spectral unmixing (TDDFSU) model were constructed. In addition, they were compared with the commonly used temperature-downscaling disaggregation procedure for radiometric LST (DisTrad) model to explore the accuracy and applicability of different downscaling models for REE mining areas. Finally, based on remote sensing data from the past 20 years, a suitable downscaling model was selected and the temperature difference index (TDI) was used to analyze the spatiotemporal evolutions of ecological disturbances caused by REE mining. The results showed TDDFSU model had the highest accuracy and the smallest mean absolute error (MAE) and root mean square error (RMSE), which were 1.062 K and 1.386 K in February and 0.877 K and 1.094 K in October, respectively, but it had limitations in spatiotemporal study. The accuracy of TDIFSU model was the second, and TDIFSU model based on Landsat data has more advantages in long time series research. DisTrad model has the lowest accuracy. The most suitable model can be selected according to the time span and accuracy; The LST obtained by downscaling can reflect the actual land surface in more detail, and the boundaries between different ground objects were clearer; The high-temperature areas were mainly concentrated in the vicinity of long-term ore occurrences covered with a large amount of tailings. Medium-temperature areas were mainly bare soil and in situ leaching vegetation areas, and low-temperature areas were mainly natural and reclaimed vegetation areas; During the monitoring of the LST in Lingbei mining area for nearly 20 years, the temperature differences caused by different mining activities were revealed, and the land surface disturbance situation has improved after the state actively carried out REE mining environmental control. (c) 2022 COSPAR. Published by Elsevier B.V. All rights reserved.
英文关键词	Land surface temperature Downscaling REE Linear spectral mixing model
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000790346200005
WOS关键词	DISAGGREGATION
WOS类目	Engineering, Aerospace ; Astronomy & Astrophysics ; Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences
WOS研究方向	Engineering ; Astronomy & Astrophysics ; Geology ; Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/391556
推荐引用方式 GB/T 7714	Li, Hengkai,Li, Yingshuang,Song, Shuihong,et al. Variation of the land surface temperature field in rare-Earth ore mining areas based on temperature downscaling[J],2022,69(9):3268-3282.
APA	Li, Hengkai,Li, Yingshuang,Song, Shuihong,&Wu, Guanhua.(2022).Variation of the land surface temperature field in rare-Earth ore mining areas based on temperature downscaling.ADVANCES IN SPACE RESEARCH,69(9),3268-3282.
MLA	Li, Hengkai,et al."Variation of the land surface temperature field in rare-Earth ore mining areas based on temperature downscaling".ADVANCES IN SPACE RESEARCH 69.9(2022):3268-3282.