%0 Journal Article %1 journals/aeog/ChenSLLW22 %A Chen, Jiajia %A Shen, Huanfeng %A Li, Xinghua %A Li, Tongwen %A Wei, Ying %D 2022 %J Int. J. Appl. Earth Obs. Geoinformation %K dblp %P 102955 %T Ground-level ozone estimation based on geo-intelligent machine learning by fusing in-situ observations, remote sensing data, and model simulation data. %U http://dblp.uni-trier.de/db/journals/aeog/aeog112.html#ChenSLLW22 %V 112

@article{journals/aeog/ChenSLLW22, added-at = {2023-09-30T00:00:00.000+0200}, author = {Chen, Jiajia and Shen, Huanfeng and Li, Xinghua and Li, Tongwen and Wei, Ying}, biburl = {https://www.bibsonomy.org/bibtex/27dd7266185acd65d27737e93ddafcb43/dblp}, ee = {https://doi.org/10.1016/j.jag.2022.102955}, interhash = {20bc029e6d0c1d650cb056ca84c817e6}, intrahash = {7dd7266185acd65d27737e93ddafcb43}, journal = {Int. J. Appl. Earth Obs. Geoinformation}, keywords = {dblp}, pages = 102955, timestamp = {2024-04-09T02:21:25.000+0200}, title = {Ground-level ozone estimation based on geo-intelligent machine learning by fusing in-situ observations, remote sensing data, and model simulation data.}, url = {http://dblp.uni-trier.de/db/journals/aeog/aeog112.html#ChenSLLW22}, volume = 112, year = 2022 }