The Design And Implementation Of Autonomous Asatellite LAI Validation Verification System

With the rapid development of society, more an more satellite have launched, bythe technology of satellite remote sensing, remote sensing products have been moreapplications. Remote sensing image inversion can get a lot of ground parametersinformation, leaf area index inversion has been one of the central issue. To make anyremote sensing products get a wide range of applications, it must ensure that it’s truefirst of all, it must reality check remote sensing products. So this article focused onlow-resolution remote sensing image data validation of the leaf area index, to solvesome of the key issues in the process of validation, such as pretreatment, inversion,scaling. Finally, this article design and implement the software system of validation ofLAI and get the accuracy assessment of leaf area index product.First of all, this article select TM image as a high-resolution study data and theMODIS images as low-resolution study data. To make the validation work moreaccurate, we also do the geometric correction, radiometric correction and atmosphericcorrection.Then, by comparing fitting model relationship between measured leaf area index(LAI) and four kinds of vegetation index, which are vegetation index (RVI), normalizeddifference vegetation index (NDVI), soil adjusted vegetation index (SAVI) andatmospherically resistant vegetation index (ARVI), this article get that the cubicpolynomial model of normalized difference vegetation index has the highest inversionaccuracy to the leaf area index of TM image. And then by comparing the mean LAI ofthe Taylor series model updating, computational geometry model, TM direct inversionand the MODIS estimate, this article get the inversion formula of optimal accuracy tothe low-resolution image. While taking into the order of inversion and scaling hasinfluential to the test results of validation, this article carried out the results betweeninversion first and scaling first, and get that scaling first and inversion later have thehigher verify accuracy.At last, design the validation test system of leaf area index system processes andstructure, and achieved remote sensing images read, display, save, pretreatment, leaf area index inversion, scaling well functional verification of accuracy of leaf area index,the leaf area index the validation test software system by using the C programmingenvironment under VS2010. The system has a simple interface, convenient operation, itcan quickly read and processing of remote sensing image, and do the software testing tothe system, the result means that the various functions of the system run well, it cangive the results of the validation of the autonomous satellite’s low-resolution leaf indexproducts. Finally, this article get that the result of validation was active by comparingthe results with local measured leaf area index.