地球信息科学学报
地毬信息科學學報
지구신식과학학보
GEO-INFORMATION SCIENCE
2013年
5期
734-743
,共10页
刘洋%刘荣高%陈镜明%程晓%郑光
劉洋%劉榮高%陳鏡明%程曉%鄭光
류양%류영고%진경명%정효%정광
植被%叶面积指数%遥感反演%数据产品
植被%葉麵積指數%遙感反縯%數據產品
식피%협면적지수%요감반연%수거산품
vegetation%leaf area index%remote sensing retrieval%products
叶面积指数表征叶片的疏密程度和冠层结构特征,体现植被光合、呼吸和蒸腾作用等生物物理过程的能力,是描述土壤-植被-大气之间物质和能量交换的关键参数。目前多种卫星传感器观测生成了多个区域和全球的叶面积指数标准产品。本文综述了基于光学遥感数据的叶面积指数反演进展:首先,介绍了叶面积指数的定义和在生态系统模拟中的作用;然后,阐述了基于光学遥感反演叶面积指数的基本原理;在此基础上,论述了基于植被指数经验关系和基于物理模型的两种主要遥感反演算法,讨论了2种算法的优点和存在的问题,并总结了现有的主要全球数据产品及其特点,论述了产品检验的方法和需要注意的问题;最后,总结了当前叶面积指数反演中存在的问题,并展望了其发展趋势和研究方向。
葉麵積指數錶徵葉片的疏密程度和冠層結構特徵,體現植被光閤、呼吸和蒸騰作用等生物物理過程的能力,是描述土壤-植被-大氣之間物質和能量交換的關鍵參數。目前多種衛星傳感器觀測生成瞭多箇區域和全毬的葉麵積指數標準產品。本文綜述瞭基于光學遙感數據的葉麵積指數反縯進展:首先,介紹瞭葉麵積指數的定義和在生態繫統模擬中的作用;然後,闡述瞭基于光學遙感反縯葉麵積指數的基本原理;在此基礎上,論述瞭基于植被指數經驗關繫和基于物理模型的兩種主要遙感反縯算法,討論瞭2種算法的優點和存在的問題,併總結瞭現有的主要全毬數據產品及其特點,論述瞭產品檢驗的方法和需要註意的問題;最後,總結瞭噹前葉麵積指數反縯中存在的問題,併展望瞭其髮展趨勢和研究方嚮。
협면적지수표정협편적소밀정도화관층결구특정,체현식피광합、호흡화증등작용등생물물리과정적능력,시묘술토양-식피-대기지간물질화능량교환적관건삼수。목전다충위성전감기관측생성료다개구역화전구적협면적지수표준산품。본문종술료기우광학요감수거적협면적지수반연진전:수선,개소료협면적지수적정의화재생태계통모의중적작용;연후,천술료기우광학요감반연협면적지수적기본원리;재차기출상,논술료기우식피지수경험관계화기우물리모형적량충주요요감반연산법,토론료2충산법적우점화존재적문제,병총결료현유적주요전구수거산품급기특점,논술료산품검험적방법화수요주의적문제;최후,총결료당전협면적지수반연중존재적문제,병전망료기발전추세화연구방향。
Leaf area index (LAI) is a primary parameter for charactering leaf density and vegetation structure. Since it could represent the capability of vegetation for photosynthesis, respiration and transpiration, LAI is used as a critical parameter for modeling water, carbon and energy exchanges among soil, vegetation and the atmo-sphere. Several regional and global LAI datasets have been generated from satellite observations. This paper re-views current status of theoretical background, algorithms, products and evaluation of LAI from optical remote sensing data. First, the definition of LAI and its effects in ecosystem modeling are introduced. Then, the radiative transfer processes of photon in canopy are described briefly. Based on these processes, vegetation presents its own spectral response characteristics, which are related to biophysical and biochemical properties of leaves, can-opy and soil background, making it possible to derive LAI from optical remote sensing data. Two main methods which establish the relationships between LAI and satellite observed spectral canopy reflectance are widely used for LAI retrieval from remote sensing data, including vegetation index-based empirical regression method and physical model-based method. These two methods are presented subsequently, and their advantages and disad-vantages are also discussed. Several major global LAI remote sensing products are reviewed, such as MOD15, CYCLOPES, GLOBCARBON and GLOBMAP LAI. The methods for LAI products evaluation and validation are presented, and several problems in LAI evaluation are also discussed. Finally, several problems in LAI re-trieval are concluded, and directions for future research of LAI retrieval are then suggested.