在微电子技术、计算机技术、航空航天等技术迅猛发展的带领下，越来越多先进的陆地遥感卫星成功发射，并在轨运行。这些遥感卫星能为我们提供种类繁多，分辨率不同的卫星遥感数据，通过遥感数据预处理、图像增强、数据融合、遥感反演等处理，得到不同分辨率，不同专题的遥感产品。利用这些不同专题的遥感产品可以准确的捕捉地气能量平衡和地表异质性变化情况。 然而，这些产品是否真的能在应用领域切实发挥实效，取决于遥感产品的精度。在评价海量遥感产品的质量的过程中却面临着精度评价的速率跟不上遥感产品的生产速率这一问题。因此，为了快速业务化的评价不同专题定量遥感产品的精度，需要建立一套定量遥感产品的真实性检验系统。本文系统的介绍了陆表定量遥感产品真实性检验系统（Land Surface Remote Sensing Products Validation System，简称为LAPVAS）设计和初步实现，并以陆表地气平衡关键参数反照率（Albedo）产品为例，对山区的反照率产品进行真实性检验。LAPVAS主要分为三个部分即：定量遥感产品真实性检验验证数据库，真实性检验精度分析子系统和系统内外部接口。 本文中设计的LAPVAS系统的一个特点是能够提供不同区域、分辨率、地表覆盖类型的地表验证数据库，LAPVAS采用了MySQL数据库管理系统对验证数据进行管理。验证数据库子系统对地面实测数据、长期观测数据以及多尺度遥感产品实现数据转换、尺度转换、数据管理等操作得到具有指定分辨率的像元尺度验证数据，并存放在像元尺度数据库中。LAPVAS精度分析子系统，设计了数据管理、 数据整合、精度指标计算和报告递交等几个一级模块，实现对地面观测相对真值获取、验证产品像元尺度观测值获取，以及匹配表生成、精度指标计算、验证结果生成等操作，这些模块整合在一起，实现了不同专题的定量遥感产品的真实性检验过程。LAPVAS数据库子系统和LAPVAS精度分析子系统之间进行信息交流是通过系统内外部接口实现。系统内部接口主要实现系统内部各子模块之间信息交流与数据交换，外部接口实现LAPVAS系统与外部产品生产系统等之间数据的交换。 本文采用一种基于SOA（Service-Oriented Architecture）的服务架构，把真实性检验验证数据库、精度分析子系统和系统内外部接口三部分有机的整合成一个整体。 本文详细介绍了LAPVAS系统的7个一级模块的详细设计和开发过程，并选取陆表反照率产品（ALBEDO）作为验证示例，对黑河地区的山区反照率的真实性检验过程进行详述。

As the speedy developed of micro-electronics and aerospace engineering, more and more advantaged land surface remote sensing satellites projected successfully into space and was running continuously, by which can product a large massive of remote sensing products by this operation such as data pretreatment, Image enhancement and remote sensing inversion. What’s more, by analyzing these products, scientists can capture the surface energy budget and heterogeneity of land surface in a long serials. Whatever is products can really have some particular function in application depended on its precession. However, an issue faced to the validation of the massive remote sensing products is that the mismatch between the speed of production and validation. So it is necessary to build a system based on web site to evaluate the accuracy of this massive of remote sensing products. So a system named as land surface remote sensing products validation system is designed in this paper to assess the uncertainty information of the remote sensing products based on an amount of in-situ data and the validation techniques. This paper shortly introduced the land surface remote sensing products validation system (briefly called LAPVAS) and its preliminary application. And based on LAPVAS, this paper give a preliminary accuracy of albedo products in mountain area. The designed validation system platform consists of three parts: Validation databases Precision analysis subsystem, Inter-external interface of system. One of a big special characteristic of LAPVAS is having a powerful and comprehensive database run in background, in which store many different areas, scales and different land cover type data. LAPVAS tack MYSQL databases management as the based infrastructure. These three parts are built by some essential service modules, such as Data-Read service modules, Data-Insert service modules, Data-Associated service modules, Precision-Analysis service modules, Scale-Change service modules and so on. By this seven modules, LAPVAS can run successfully to validate different types of quantitative remote sensing products. In this paper, an architecture called Service-Oriented Architecture (SOA) to take three parts of LAPVAS together. This paper introduce this developed program of this seven service modules. Despite it, one significant parameter of surface energy budget which is called land surface albedo as an index to evaluate this system.