CAJ | 학술논문

针对现有遥感数据不能同时满足在时间和空间上精确监测植被动态变化的问题，提出利用时空适应性反射率融合模型（STARFM）的方法对MODIS-NDVI和TM-NDVI影像数据进行融合处理获得30 m较高时空分辨率的融合NDVI影像，进而将多种尺度的MODIS-NDVI和融合NDVI数据分别输入到CASA模型，对锡林浩特地区进行植被净初级生产力（NPP）的多尺度估算。将不同尺度的NPP估算结果与地上生物量地面实测值进行验证比较，结果表明：随着输入NDVI空间分辨率的提高，NPP估算值与实测地上生物量之间的相关性也逐渐增大，r最大值达到了0.915。此外以融合NDVI影像作为输入数据之一的NPP估算值与实测地上生物量的相关性均比未融合NDVI的相关性高，说明融合NDVI估算NPP的效果较未融合NDVI好，并且以融合NDVI影像作为模型输入数据可提高NPP估算精度。
침대현유요감수거불능동시만족재시간화공간상정학감측식피동태변화적문제，제출이용시공괄응성반사솔융합모형（STARFM）적방법대MODIS-NDVI화TM-NDVI영상수거진행융합처리획득30 m교고시공분변솔적융합NDVI영상，진이장다충척도적MODIS-NDVI화융합NDVI수거분별수입도CASA모형，대석림호특지구진행식피정초급생산력（NPP）적다척도고산。장불동척도적NPP고산결과여지상생물량지면실측치진행험증비교，결과표명：수착수입NDVI공간분변솔적제고，NPP고산치여실측지상생물량지간적상관성야축점증대，r최대치체도료0.915。차외이융합NDVI영상작위수입수거지일적NPP고산치여실측지상생물량적상관성균비미융합NDVI적상관성고，설명융합NDVI고산NPP적효과교미융합NDVI호，병차이융합NDVI영상작위모형수입수거가제고NPP고산정도。
The current remote sensing data can not simultaneously satisfy the precise monitoring of vegetation productivity changes in both high temporal and spatial resolutions. In this study, application of an image fusion method to an ecosystem model for improving the accuracy of NPP evaluations is proposed. Firstly, the Spatial and Temporal Adaptive Reflectance Fusion Model(STARFM)is applied to get higher temporal and spatial resolution NDVI data(30 m)from the MODIS-NDVI and TM-NDVI images and then multi-scale Net Primary Productivity(NPP)of Xilinhot grasslands are estimated based on the CASA model using different scales of MODIS-NDVI data and the 30 m fusion data. The results indicate that the corre-lation between the model-estimated NPP and the measured aboveground biomass is gradually increased with the improve-ment of the resolution of the input NDVI data. The max correlation coefficient(r)reached 0.915. Additionally, the coeffi-cient between the NPP estimations derived from fusion NDVI data and the observed biomass is higher than the coefficient of non-fusion image. The results also indicate that the accuracy of NPP estimations from fusion NDVI data is better than non-fusion NDVI data and the fusion NDVI image as the model input data can improve the accuracy of NPP estimations.