基于遥感和通量观测数据的生态系统净碳交换估算

Estimation of Ecosystem Net Carbon Exchange Based on Remote Sensing and Flux Observation Data

大规模人类活动对生态系统造成巨大的影响,改变了其固有的碳收支平衡,引发了一系列全球环境问题,因此碳循环得到了普遍的关注,而陆地生态系统的碳循环更是其中的核心研究之一。研究选取了东亚的三个森林站点,基于MODIS遥感影像和通量观测数据,利用回归统计模型对生态系统净碳通量进行估算,分析并评价模型的精度,验证该基于遥感数据的统计模型在东亚森林生态系统的适用性。

The huge impact of large-scale human activities on the ecosystem,the inherent carbon balance has been changed,and a series of global environmental problems have been triggered.Carbon cycle has been paid more and more attention,and the carbon cycle of terrestrial ecosystem is one of the core researches.Three forest sites in East Asia were selected based on MODIS remote sensing images and flux observation data,this study used regression statistical model to estimate the net carbon flux of the ecosystem,analyzed and evaluated the accuracy of the model,and verified the applicability of the statistical model based on remote sensing data in the forest ecosystem of East Asia.