安徽农业科学2025，Vol.53Issue(3)：53-57,5.DOI:10.3969/j.issn.0517-6611.2025.03.011
毛乌素沙地南缘草地地上生物量遥感反演模型研究
Study on Remote Sensing Inversion Model of Above-ground Biomass in Grassland on the Southern Edge of MuUs Sandy Land
陈丽佳 1任永丽 1温利明 1路乾 1刘维平 1陈亚飞 1王小龙 1陆颖 1丛帅 1徐誉彰1
作者信息
- 1. 银川市畜牧技术推广服务中心,宁夏银川 750001
- 折叠
摘要
Abstract
Based on the study of the grassland in south fringe of MuUs sandy land,normalized vegetation index(NDVI),ratio vegetation in-dex(RVI),difference vegetation index(DVI)and transformation vegetation index(TVI)were extracted using grassland above-ground bio-mass data and Landsat8 OLI image which were acquired in July and August,2023.The correlation analysis was made between the four vegeta-tion indexes and above-ground biomass,and regression models were established.Meanwhile,the accuracy of the model was verified.The results showed that there was an extremely significant correlation between the four vegetation indexes and above-ground biomass,with a correlation co-efficient of 0.914 for RVI,followed by NDVI.The optimal model was a quadratic polynomial regression model,and the worst model was an ex-ponential regression model.The average error coefficient between the measured and predicted values of above-ground biomass was 16.23%,and the regression fitting accuracy was 83.77%.The quadratic polynomial regression model had the best effect on monitoring the above-ground biomass of grassland.关键词
地上生物量/植被指数/草地/遥感监测/毛乌素沙地Key words
Above-ground biomass/Vegetation index/Grassland/Remote sensing monitoring/MuUs sandy land分类
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陈丽佳,任永丽,温利明,路乾,刘维平,陈亚飞,王小龙,陆颖,丛帅,徐誉彰..毛乌素沙地南缘草地地上生物量遥感反演模型研究[J].安徽农业科学,2025,53(3):53-57,5.
