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基于遥感数据的哈密地区环境要素监测与动态分析 被引量:3

Monitoring and Dynamic Analysis of Environmental Factors in Hami Region Based on Remote Sensing Data
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摘要 利用2015—2019年的8月的Landsat-8 OLI以及Landsat-7 ETM+影像数据对哈密市大量矿山开采工程实施以来,生态环境变化情况进行了动态监测与分析。利用像元二分模型分析哈密地区的植被覆盖度,基于大气校正法反演研究区内地表温度。利用热红外遥感监测法研究了土壤湿度。研究结果表明,2015—2019年间哈密地区植被覆盖度分别为3.87%、5.57%、7.41%、3.36%、3.20%,植被覆盖度保持平稳状态。而地表温度呈现上升趋势,5年来该地区8月份地表平均温度为39℃、39℃、45℃、44℃、45℃,但是该地区的土壤湿度基本保持不变。 Landsat-8 OLI and Landsat-7 ETM+ image data from August 2015 to 2019 were used to dynamically monitor and analyze the changes of ecological environment since the implementation of a large number of mining projects in Hami city. The vegetation coverage in Hami area is analyzed by using the pixel binary model and the surface temperature is retrieved based on atmospheric correction method. Soil moisture was studied by thermal infrared remote sensing monitoring method. The results showed that from 2015 to 2019, the FVC of Hami region was 3.87%, 5.57%, 7.41%, 3.36% and 3.20%, respectively, and the FVC of Hami region remained stable. The average surface temperature in August in this area is 39 ℃, 39 ℃, 45 ℃, 44 ℃ and 45 ℃ in the past 5 years. However, the soil moisture in the region remains largely unchanged.
作者 王继野 赵鑫 WANG Jiye;ZHAO Xin(China Railway 19th Bureau Group Mining Investment Co.,Ltd.,Beijing 100161,China)
出处 《测绘与空间地理信息》 2022年第11期105-108,111,共5页 Geomatics & Spatial Information Technology
关键词 像元二分模型 植被覆盖度 大气校正法 地表温度 土壤湿度 image binary model vegetation coverage atmospheric correction met-hod the surface temperature soil humidity
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