(1) uncompress the .rar file;(2) use Testo IRSoft to read.BMT files.
1. Liu, S.M., Li, X., Xu, Z.W., Che, T., Xiao, Q., Ma, M.G., Liu, Q.H., Jin, R., Guo, J.W., Wang, L.X., Wang, W.Z., Qi, Y., Li, H.Y., Xu, T.R., Ran, Y.H., Hu, X.L., Shi, S.J., Zhu, Z.L., Tan, J.L., Zhang, Y., & Ren, Z.G. (2018). The Heihe Integrated Observatory Network: A Basin-Scale Land Surface Processes Observatory in China. Vadose Zone Journal, 17(1). https://doi.org/10.2136/vzj2018.04.0072( View Details | Download | Bibtex)
2. Li, M., Zhou, J., Peng, Z., Liu, S., Göttsche, F.-M., Zhang, X., Song, L., 2019. Component radiative temperatures over sparsely vegetated surfaces and their potential for upscaling land surface temperature. Agricultural and Forest Meteorology, 276–277. https://doi.org/10.1016/j.agrformet.2019.05.031( View Details | Bibtex)Cite the data
Zhou Ji. HiWATER: MUlti-scale observation experiment on land surface temperature (MUSOES)- dataset of component temperature in the down of Heihe River Basin (Thermal imager). National Tibetan Plateau Data Center, 2019. (Download the reference： RIS | Bibtex )
Using this data, you must reference article references listed in the Required Data Citation and reference data
1.Li, M., Zhou, J., Peng, Z., Liu, S., Göttsche, F.-M., Zhang, X., Song, L., 2019. Component radiative temperatures over sparsely vegetated surfaces and their potential for upscaling land surface temperature. Agricultural and Forest Meteorology, 276–277. https://doi.org/10.1016/j.agrformet.2019.05.031 (View Details )
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