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A stepwise framework for interpolating land surface temperature under cloudy conditions based on solar-cloud-satellite geometry
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nanzt/scsginterp
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folders: Rcode: all codes in R data: data required by the method. Ten-day data in 2004 are used as sample. result: resulting data file(s): readme-chs: readme in Chinese readme: this file Brief intro: a very brief introduction, including workflow, data requirement and references to papers. for details, please refer our paper: Chen Y, Nan Z*, Cao Z, Ou M, Feng K. A stepwise framework for interpolating land surface temperature under cloudy conditions based on solar-cloud-satellite geometry. ISPRS JournAL OF PHOTOGRAMMETRY AND REMOTE SENSING. 2023, 197: 292-308. https://doi.org/10.1016/j.isprsjprs.2023.02.004. 插值流程说明文档.pdf:a Chinese version of "Brief intro". further information can be found at our group site at https://permalab.science. Zhuotong Nan (nanzt (at) njnu.edu.cn) Feb 19, 2023
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A stepwise framework for interpolating land surface temperature under cloudy conditions based on solar-cloud-satellite geometry
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