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Updated: Jan 14, 2026

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
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Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

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由MODIS-LAI,Sentinel-3-LAI和ERA5-Land数据驱动的陆地碳流量从塔到全球的升级

Pablo Reyes-Muñoz1, Dávid D Kovács1, Jochem Verrelst1

  • 1Image Processing Laboratory (IPL), University of Valencia, C/Catedrático Agustín Escardino Benlloch 9, Paterna, 46980 Valencia, Spain.

Ecological indicators
|October 23, 2025
PubMed
概括

使用高斯过程回归 (GPR) 的机器学习模型在全球范围内有效地升级陆地碳流 (TCFs). 叶面积指数 (LAI),太阳辐射和潜在热量流是关键预测因素,特别是在森林生物群中.

关键词:
碳循环 是一个碳循环.气候 气候 气候 气候 气候在ERA5中,ERA5是指ERA5.生态系统的呼吸呼吸系统这就是FLUXNET.高斯过程回归的高斯过程回归.全球规模的升级.毛初级生产率的生产率.在 LAI LAI 找 律师莫迪斯 (MODIS) 是一种模式.净生态系统交易所光合作用 光合作用遥感是一种远程传感.哨兵三号卫星 - 哨兵三号卫星植物产品 植物产品

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