,使使

Zhilong Li1, Ziti Jiao2, Ge Gao1

  • 1State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China; Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.

概括

一个新的模型通过整合陆地水储量 (TWS) 和叶子聚集指数 (CI) 等环境因素来改善全球原始生产率 (GPP) 估计. 这种更高的准确性提高了对气候变化下的生态系统碳交换的理解.

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