国产HJ-1B卫星数据的地表温度及湿度反演方法——以呼伦贝尔草原伊敏露天煤矿区为例
发布时间：2019-03-08 16:06
【摘要】：草原露天煤矿的土壤湿度遥感监测可以反映露天开采活动对生态环境的扰动程度。选择国产环境卫星(HJ-1B)多光谱及热红外光谱数据,探讨HJ-1B数据在中国北部呼伦贝尔草原伊敏露天煤矿区地表温度及湿度的反演模型及适宜性,对比分析JMS,Qin和Artis算法在研究区温度反演中的精度及适用性;进一步利用归一化植被指数和地表温度(NDVI-LST)的特征空间反演温度植被干旱指数(temperature vegetation dryness index,TVDI);通过野外实测土壤湿度数据对NDVI LST特征空间中的干边模型进行修正。结果表明:基于Qin算法反演的温度数据精度最高;干边纠正系数为0.3时,TVDI与实测土壤含水量相关性最高,"湿边"呈现剖物线特征,"干边"呈现线性规律。反演结果能够很好地反映露天煤矿区内不同地物的地表干旱状况及空间异质性,可为草原露天煤矿区的长周期陆面演变监测提供基础数据。
[Abstract]:The monitoring of the soil moisture remote sensing of the opencast coal mine can reflect the degree of disturbance of the open-pit mining activity to the ecological environment. Based on the multi-spectral and thermal infrared data of domestic environmental satellite (HJ-1B), the inversion model and the suitability of the surface temperature and humidity of the HJ-1B data in the Yimin open-pit coal mine area in the north of China are discussed, and the JMS is compared and analyzed. The accuracy and applicability of the Qin and Artis algorithm in the temperature inversion of the study area are studied. The temperature vegetation drought index (TVDI) is further studied by using the normalized vegetation index and the surface temperature (NDVI-LST). 閫氳繃閲庡瀹炴祴鍦熷￥婀垮害鏁版嵁瀵筃DVI LST鐗瑰緛绌洪棿涓殑骞茶竟妯″瀷杩涜淇. The results show that the accuracy of the temperature data is the highest based on the Qin algorithm; when the correction coefficient of the dry edge is 0.3, the correlation between the TVDI and the measured soil moisture content is the highest, the "wet edge" presents the profile line characteristic, and the "dry edge" presents a linear rule. The inversion result can reflect the surface drought condition and spatial heterogeneity of different ground objects in the open-pit coal mine area well, and can provide the basic data for the long-period land surface evolution monitoring of the grassland open-pit coal mine area.
【作者单位】： 东北大学测绘遥感与数字矿山研究所;北京国测星绘信息技术有限公司;中南大学地球科学与信息物理学院;江苏省地质测绘院;
【基金】：国家自然科学基金项目“干旱半干旱草原区露天煤矿土壤光谱特征模型研究”(编号:4140010440)资助
【分类号】：S127;S152
本文编号：2436969
[Abstract]:The monitoring of the soil moisture remote sensing of the opencast coal mine can reflect the degree of disturbance of the open-pit mining activity to the ecological environment. Based on the multi-spectral and thermal infrared data of domestic environmental satellite (HJ-1B), the inversion model and the suitability of the surface temperature and humidity of the HJ-1B data in the Yimin open-pit coal mine area in the north of China are discussed, and the JMS is compared and analyzed. The accuracy and applicability of the Qin and Artis algorithm in the temperature inversion of the study area are studied. The temperature vegetation drought index (TVDI) is further studied by using the normalized vegetation index and the surface temperature (NDVI-LST). 閫氳繃閲庡瀹炴祴鍦熷￥婀垮害鏁版嵁瀵筃DVI LST鐗瑰緛绌洪棿涓殑骞茶竟妯″瀷杩涜淇. The results show that the accuracy of the temperature data is the highest based on the Qin algorithm; when the correction coefficient of the dry edge is 0.3, the correlation between the TVDI and the measured soil moisture content is the highest, the "wet edge" presents the profile line characteristic, and the "dry edge" presents a linear rule. The inversion result can reflect the surface drought condition and spatial heterogeneity of different ground objects in the open-pit coal mine area well, and can provide the basic data for the long-period land surface evolution monitoring of the grassland open-pit coal mine area.
【作者单位】： 东北大学测绘遥感与数字矿山研究所;北京国测星绘信息技术有限公司;中南大学地球科学与信息物理学院;江苏省地质测绘院;
【基金】：国家自然科学基金项目“干旱半干旱草原区露天煤矿土壤光谱特征模型研究”(编号:4140010440)资助
【分类号】：S127;S152
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