In view of the large quantities of areas, complex landform and dynamic change of resources and environment in China, China has already funded abundantly a series of macro remote sensing investigation projects in land ...In view of the large quantities of areas, complex landform and dynamic change of resources and environment in China, China has already funded abundantly a series of macro remote sensing investigation projects in land use/ cover change(LUCC) since 1990. Supported by the achievements of such projects, Chinese resources, environmental and remote sensing database (CRERS) was created. In this paper, we standardized the LUCC dataset of CRERS at scale of 1km, which facilitated the study of spatial features of LUCC in China. The analysis on the spatial features of LUCC and their causes of formation in China are based on the CRERS supported by the technologies of Geographic Information System (GIS). The whole research was based on the grade index of land use, ecological environmental index and index of population density. Based on the correlation analysis, we found that the special features of LUCC were closely related with those of ecological environment and population density, which resulted from that areas with better ecological environment and high production potential of land were easy and convenient for human being to live, which, furthermore, led to the aggravation of excessive exploitation of land resources there.展开更多
遥感数据在空间、时间上具有较强相关性和连续性,因此遥感图像时间序列具有低秩属性。在本文中,我们考虑利用低秩张量补全的方法修复图像。首先,我们对MODIS的地表温度数据进行预处理,通过时空插值的方式将被云遮挡导致的缺失值进行初...遥感数据在空间、时间上具有较强相关性和连续性,因此遥感图像时间序列具有低秩属性。在本文中,我们考虑利用低秩张量补全的方法修复图像。首先,我们对MODIS的地表温度数据进行预处理,通过时空插值的方式将被云遮挡导致的缺失值进行初步补全。接着,我们将地表温度时间序列数据视作一个三阶时空张量,在时空张量的时间维度上引入傅里叶变换,将其转换为空间-频率张量。对此张量进行奇异值分解、高斯低通滤波后再通过逆傅里叶变换为空间-时间张量。最后使用交替方向乘子法迭代运算,对缺失张量进一步优化。对于该方法的精度,我们采用模拟实验的方法进行验证,人工添加掩膜并进行恢复,恢复结果的平均绝对误差(Mean Average Error)在2.1–4.9 K内。本数据集包括青藏高原2000–2020年每日的以下数据:(1)对MOD11A1、MYD11A1产品中被云遮挡区域进行优化的地表温度数据(MOD11A1_QTP_PART,MYD11A1_QTP_PART);(2)被云遮挡区域优化后的MOD11A1、MYD11A1产品,即优化后的地表温度数据(MOD11A1_QTP_Temp,MYD11A1_QTP_Temp);(3)原始的MOD11A1、MYD11A1产品(MOD11A1_QTP_ORIGIN,MOD11A1_QTP_ORIGIN)。所有数据空间分辨率为1 km,以整数型数据格式进行存储,像元值表示地表的热力学温度,比例系数为0.02,单位为K。数据集存储为.tif格式,可以通过ENVI、ArcGIS等遥感软件直接打开和处理。展开更多
文摘In view of the large quantities of areas, complex landform and dynamic change of resources and environment in China, China has already funded abundantly a series of macro remote sensing investigation projects in land use/ cover change(LUCC) since 1990. Supported by the achievements of such projects, Chinese resources, environmental and remote sensing database (CRERS) was created. In this paper, we standardized the LUCC dataset of CRERS at scale of 1km, which facilitated the study of spatial features of LUCC in China. The analysis on the spatial features of LUCC and their causes of formation in China are based on the CRERS supported by the technologies of Geographic Information System (GIS). The whole research was based on the grade index of land use, ecological environmental index and index of population density. Based on the correlation analysis, we found that the special features of LUCC were closely related with those of ecological environment and population density, which resulted from that areas with better ecological environment and high production potential of land were easy and convenient for human being to live, which, furthermore, led to the aggravation of excessive exploitation of land resources there.
文摘遥感数据在空间、时间上具有较强相关性和连续性,因此遥感图像时间序列具有低秩属性。在本文中,我们考虑利用低秩张量补全的方法修复图像。首先,我们对MODIS的地表温度数据进行预处理,通过时空插值的方式将被云遮挡导致的缺失值进行初步补全。接着,我们将地表温度时间序列数据视作一个三阶时空张量,在时空张量的时间维度上引入傅里叶变换,将其转换为空间-频率张量。对此张量进行奇异值分解、高斯低通滤波后再通过逆傅里叶变换为空间-时间张量。最后使用交替方向乘子法迭代运算,对缺失张量进一步优化。对于该方法的精度,我们采用模拟实验的方法进行验证,人工添加掩膜并进行恢复,恢复结果的平均绝对误差(Mean Average Error)在2.1–4.9 K内。本数据集包括青藏高原2000–2020年每日的以下数据:(1)对MOD11A1、MYD11A1产品中被云遮挡区域进行优化的地表温度数据(MOD11A1_QTP_PART,MYD11A1_QTP_PART);(2)被云遮挡区域优化后的MOD11A1、MYD11A1产品,即优化后的地表温度数据(MOD11A1_QTP_Temp,MYD11A1_QTP_Temp);(3)原始的MOD11A1、MYD11A1产品(MOD11A1_QTP_ORIGIN,MOD11A1_QTP_ORIGIN)。所有数据空间分辨率为1 km,以整数型数据格式进行存储,像元值表示地表的热力学温度,比例系数为0.02,单位为K。数据集存储为.tif格式,可以通过ENVI、ArcGIS等遥感软件直接打开和处理。
