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摘要： 利用卫星遥感生产叶面积指数（Leaf area index： LAI）产品并进行真实性检验是植被定量遥感的一项重要研究内容。过去10 a，我国研究人员利用MODIS或AVHRR观测数据生产了GLOBALBNU， GLASS， GLOBMAP，MuSyQ和FSGOM等数套全球和全国LAI产品，受到了国内外的广泛关注和应用。在产品生产的同时，我国学者也广泛开展了LAI产品在全球和区域尺度的真实性检验研究工作。本文总结了我国LAI卫星产品生产和验证研究工作的现状和趋势。近年来，我国在本领域相关的理论、技术和方法研究方面取得了全面进展，LAI产品精度和连续性已与国外先进水平相当，但仍然存在数据源单一且依赖国外、算法不确定性不清、生产不连续以及缺乏充分验证等问题，客观上影响了LAI产品应用的广度及深度。未来应充分利用新的卫星数据特别是国产数据，加强遥感机理模型、反演算法以及应用的创新研究，生产具有特色的高质量LAI产品，满足地球系统科学的研究需求。同时，应加强LAI验证基础设施建设，发掘利用更广泛的验证站点，同时增进国际合作，加强产品的推广使用，在与用户的互动交流反馈中进一步提高产品的市场。随着我国对相关研究投入的增加，可以预期未来20 a将是我国LAI遥感产品及验证研究由“跟跑”国际先进水平向“并跑”乃至“领跑”过渡的机遇期。 关键词： 叶面积指数;  遥感产品;  验证;  真实性检验;  中国     Abstract: Development and validation of Leaf Area Index （LAI） product from satellite remote sensing data is a crucial research topic in vegetation remote sensing. Over the past decade， a number of global and national LAI products， such as GLOBALBNU， GLASS， GLOBMAP， MuSyQ， and FSGOM have been developed in China from MODIS and AVHRR observations. These products have been widely used in home and abroad. At the same time， Chinese scholars have carried out extensive product validation studies at global and regional scales. This paper summarizes the current status and future development trends in LAI product development and validation in China. During the past years， significant progresses have been made in theory， technology and method studies in this field. The accuracy and continuity of domestic LAI products are on par with the advanced international level. However， there are still some drawbacks， such as heavily relying on data sources from abroad， unclear algorithm uncertainties， discontinuous product， and lack of sufficient validation， which greatly limit the breadth and depth of the product application. For future research， new satellite data， especially domestic satellite data， should be fully harnessed. The development of remote sensing models and inversion algorithms should be strengthened， and applications broadened in order to generate high quality LAI products to meet the research needs in Earth system sciences. In LAI product validation， current field measurement infrastructure should be improved， more extensive validation sites be developed， international collaboration be facilitated， and product usage broadened. The product market should be improved through more interactions and feedbacks with product users. With the increasing funding opportunities in this field， it is expected that the next two decades will see China's LAI remote sensing production and validation studies transit from a “following” role to a “parallel running” and even a “leading” role internationally.

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