Combining HJ CCD, GF-1 WFV and MODIS Data to Generate Daily High Spatial Resolution Synthetic Data for Environmental Process Monitoring
作者： Mingquan Wu , Wenjiang Huang , Zheng Niu , Changyao Wang
关键词:
摘要: The limitations of satellite data acquisition mean that there is a lack with high spatial and temporal resolutions for environmental process monitoring. In this study, we address problem by applying the Enhanced Spatial Temporal Adaptive Reflectance Fusion Model (ESTARFM) Data Approach (STDFA) to combine Huanjing charge coupled device (HJ CCD), Gaofen no. 1 wide field view camera (GF-1 WFV) Moderate Resolution Imaging Spectroradiometer (MODIS) generate daily resolution synthetic land surface Actual HJ CCD GF-1 WFV were used evaluate precision images using correlation analysis method. Our method was tested validated two study areas in Xinjiang Province, China. results show both ESTARFM STDFA can be applied MODIS reflectance data, closely match actual coefficients (r) greater than 0.8989 0.8643, respectively. Synthetic red- near infrared (NIR)-band generated are more suitable calculation Normalized Different Vegetation Index (NDVI) STDFA.
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