| The mining method of the ion-adsorbed rare earth mining area during mining of rare earths will affect the surrounding ecological environment of the mining area due to mining disturbances such as excavation of the surface,stripping of vegetation,excavation of liquid injection holes,and discharge of tailings,resulting in a large range of vegetation in the mining area.At the same time,the surface desertification is serious,which leads to abnormal surface temperature in the mining area.Surface temperature is an important factor that affects the ecological environment of rare earth mining areas.It can reflect the surface disturbance of the mining area to a certain extent,and it is an important parameter for identifying the surface ecological disturbance.Ion-adsorbed rare earth mines have the characteristics of scattered ore sites and a small ore area.Therefore,obtaining surface temperature data with high practicality and higher spatial resolution is of great value for the continuous ecological environment monitoring of rare earth mines.Based on this,in order to better monitor the changes in the surface temperature field of rare earth mining areas,this paper combines Landsat series remote sensing images and GF-1 remote sensing images to carry out a study on the spatial descaling method of the surface temperature of ion-adsorption rare earth mines,and proposes two fusions based on remote sensing data It is combined with the TDIFSU model(Temperature Downscale with Image Fusion and Spectral Unmixing)and TDDFSU model(Temperature Downscale with Date Fusion and Spectral Unmixing),combined with the currently used downscaling model DisTrad model Comparative analysis,explore the accuracy and applicability of different downscaling models in rare earth mining areas,and finally select the appropriate downscaling model,based on remote sensing data in the past two decades,to carry out research on the spatiotemporal changes of the surface temperature field of the rare earth mining area for a long time.The research content is as follows:(1)The research method in this paper is mainly aimed at the ion-adsorption rare earth mines with complex geomorphic features.Due to their scattered ore sites and small single mine area,they are based on data availability,rare earth mines and mine sites.Scale monitoring needs many other considerations,based on remote sensing data fusion and mixed pixel decomposition,two spatial temperature downscaling models are proposed to achieve the downscaling of the surface temperature in rare earth mining areas.(2)Because the surface temperature will change greatly with time and space,and lack of measured surface temperature field data that can verify the surface temperature,this paper uses a single window algorithm to invert the 30 m obtained by the Landsat thermal infrared band The surface temperature of spatial resolution is used as the "true value" data of the surface temperature field in the study area.It comprehensively quantifies and qualitatively two angles,verifies the accuracy of the downscaling model,and compares and analyzes the accuracy of the three downscaling models in the ion-adsorbed rare earth ore.Sex and applicability.(3)In order to explore the long-term effects of rare earth mining activities on the surface ecological environment around the mining area,especially the disturbance of the surface temperature field,further analyze and study the temporal and spatial changes of the surface temperature field in the Lingbei rare earth mining area in the past two decades From four to five years as a time interval,Landsat remote sensing images in five years of 2000,2004,2009,2014 and 2018 were selected as time series research data to carry out spatial and temporal analysis of surface temperature in Lingbei rare earth mining area. |
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