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一种新的方法来估计陆地表面温度从Landsat上层大气反射和发射数据使用转移学习神经网络

Shuo Xu1, Dongdong Wang1, Shunlin Liang2

  • 1Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA.

The Science of the total environment
|October 17, 2024
PubMed
概括

一个新的转移学习 (TL) 神经网络使用卫星数据准确地检索陆地表面温度 (LST). 这种方法减少了对土地表面排放率 (LSE) 数据的依赖,提高了气候和环境研究的准确性.

关键词:
谷歌的地球引擎.土地表面的温度 地表的温度陆地卫星 (Landsat) 是一个地球卫星.机器学习是机器学习.辐射转移是一种辐射转移.传输学习神经网络的神经网络.

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