定量遥感与机器学习能够融合吗？

龚健雅; 李彦胜

doi:10.3799/dqkx.2022.861

Volume 47 Issue 10

Oct. 2022

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Gong Jianya, Li Yansheng, 2022. Can Quantitative Remote Sensing and Machine Learning be Integrated？. Earth Science, 47(10): 3911-3912. doi: 10.3799/dqkx.2022.861

Citation:

Gong Jianya, Li Yansheng, 2022. Can Quantitative Remote Sensing and Machine Learning be Integrated？. Earth Science, 47(10): 3911-3912. doi: 10.3799/dqkx.2022.861

Gong Jianya, Li Yansheng, 2022. Can Quantitative Remote Sensing and Machine Learning be Integrated？. Earth Science, 47(10): 3911-3912. doi: 10.3799/dqkx.2022.861

Citation:

Gong Jianya, Li Yansheng, 2022. Can Quantitative Remote Sensing and Machine Learning be Integrated？. Earth Science, 47(10): 3911-3912. doi: 10.3799/dqkx.2022.861

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Can Quantitative Remote Sensing and Machine Learning be Integrated？

doi: 10.3799/dqkx.2022.861

Publish Date: 2022-10-25

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References

Reichstein, M., Camps-Valls, G., Stevens, B., et al., 2019. Deep Learning and Process Understanding for Data-Driven Earth System Science. Nature, 566(7743): 195-204. https://doi.org/10.1038/s41586-019-0912-1

Uhlemann, S., Dafflon, B., Wainwright, H. M., et al., 2022. Surface Parameters and Bedrock Properties Covary across a Mountainous Watershed: Insights from Machine Learning and Geophysics. Science Advances, 8(12): eabj2479. https://doi.org/10.1126/sciadv.abj2479

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