CAJ | 학술논문

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。
FVC시연구표식피복개적중요삼수，기고산정도직접영향생태、배경변화연구결론적과학성。본문통과연구용우FVC계산적요감수거，이급통계모형、혼합상원분해、수거알굴등고산방법화식피복개변화기후효응，지출대수거시대배경하융합해량、다평태、다시공、다척도수거적FVC고산시필연추세，기방법불부구유고정도、고가고성등특점，이차장향지능화、자동화적방향발전，식피복개변화기후효응연구장축보정양화，지기작용과정화궤리장성위기중요적연구방향。
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 FVCestimation methods will have the characteristic of high precision and reliability , and its de-velopment direction will be 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.