农业机械学报2017，Vol.48Issue(6)：100-108,9.DOI:10.6041/j.issn.1000-1298.2017.06.013
应用中值融合模型的条件植被温度指数降尺度转换研究
Down-scaling Transformation of Vegetation Temperature Condition Index Using Median Fusion Model
摘要
Abstract
Vegetation temperature condition index (VTCI) is proved to be a quantitative drought monitoring approach by using the high temporal resolution remotely sensed data.However,with low temporal resolution data,the monitoring results are relatively wet and dry.A new model called the median fusion model (MFM) was developed for spatially down-scaling the coarse spatial quantitative VTCI (1 km) derived from the moderate-resolution imaging spectroradiometer (MODIS) data products and the relative VTCI (30 m) derived from the Landsat OLI/TIRS products in the Guanzhong Plain,China to a scale of the quantitative drought monitoring results (30 m) called MFM-VTCI,and their quantifications were proved.The results showed that the good agreements between the MFM-VTCIs and the Landsat-VTCIs were found in terms of correlation coefficient and structural similarity index (SSIM) values,and the two VTCIs had similar spatial distribution and texture features.The root mean square error (RMSE) and the differences between the MFM-VTCIs and the Landsat-VTCIs were consistent with the systematic error between the quantitative drought monitoring results and the relatively wet and dry monitoring results,indicating that it was comparable between the MFM-VTCIs and the Landsat-VTCIs.The correlation coefficients between the MFM-VTCIs and the cumulative precipitation were similar to those between the MODIS-VTCIs and the cumulative precipitation,which were larger than those between the Landsat-VTCIs and the cumulative precipitation,indicating that the down-scaled MFMVTCIs were quantitative drought monitoring results.关键词
干旱遥感监测/MODIS数据/Landsat数据/降尺度/条件植被温度指数/中值融合模型Key words
drought monitoring by remote sensing/MODIS data/Landsat data/down-scaling/vegetation temperature condition index/median fusion model分类
农业科技引用本文复制引用
王鹏新,刘郊,李俐,张树誉,解毅..应用中值融合模型的条件植被温度指数降尺度转换研究[J].农业机械学报,2017,48(6):100-108,9.基金项目
国家自然科学基金项目(41371390) （41371390）
