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从2000年到2021年使用LSTM模型改进了全球250米8天的NDVI和EVI产品

Changhao Xiong1, Han Ma2,3, Shunlin Liang4

  • 1School of Remote Sensing and Information Engineering, Wuhan University, Hubei, 430010, China.

Scientific data
|November 14, 2023
PubMed
概括

新的卫星植被指数 (VI) 产品克服了云层污染. 长期短期记忆 (LSTM) 神经网络方法改善了全球植被监测的正常差异植被指数 (NDVI) 和增强植被指数 (EVI) 的准确性.

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