地表植被覆盖度遥感估算及其气候效应研究进展

A Review of FVC Estimation Based on Remote Sensing and Climatic Effects

FVC是研究表植被覆盖的重要参数,其估算精度直接影响生态、环境变化研究结论的科学性。本文通过研究用于FVC计算的遥感数据,以及统计模型、混合像元分解、数据挖掘等估算方法和植被覆盖变化气候效应,指出大数据时代背景下融合海量、多平台、多时空、多尺度数据的FVC估算是必然趋势,其方法不仅具有高精度、高可靠性等特点,而且将向智能化、自动化的方向发展,植被覆盖变化气候效应研究将逐步定量化,地气作用过程和机理将成为其重要的研究方向。

FVC is an important parameter of land surface vegetation, and its estimation precision has a direct influence on the scientif- ic of ecological and environmental change research. This paper indicates that the integration of magnanimity, multi - platform, multi - space time and multi - scale data is the inevitable trend of FVC estimation on the background of big data era, which based on the study of its remote sensing data, statistical model, mixed pixels decomposition, data mining methods and climatic effects of vegetation cover variation. The research shows that the FVC estimation methods will have the characteristic of high precision and reliability, and its de- velopment direction will he in intelligent and robotic; the climatic effects studies will be quantification gradually, and the surface -at- mospheric action and its mechanism will turn into the significant research direction.