首页|不同植被指数TVDI在江西省干旱监测中的适用性分析

不同植被指数TVDI在江西省干旱监测中的适用性分析

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以江西省为研究区,利用MODIS植被指数与地表温度遥感产品构建NDVI-Ts和EVI-Ts特征空间,对比分析基于不同植被指数构建的特征空间的差异性,并基于不同植被指数分别计算研究区2022年8月至10月的TVDI和TVDI-E,利用土壤湿度站点数据进行不同植被指数TVDI的相关性分析.结果表明:基于EVI构建的特征空间总体拟合效果优于NDVI;TVDI、TVDI-E与土壤湿度站点数据均呈现显著负相关关系,其中,TVDI-E与土壤湿度的相关性高于TVDI;TVDI-E在江西省的干旱监测适用性更高.研究结果可为江西省及相似地区干旱监测研究提供参考.
Applicability analysis of different vegetation indices TVDI for drought monitoring in Jiangxi province
Taking Jiangxi province as the study area,NDVI-Ts and EVI-Ts feature spaces are constructed using MODIS vegetation index and surface temperature remote sensing products,and the differences of feature spaces constructed based on different vegetation indices are compared and analyzed.Based on different vegetation indices,the TVDI and TVDI-E in the study area are calculated from August to October 2022 respectively,and soil moisture station data are used for correlation analysis of TVDI of different vegetation indices.The results show that the overall fitting effect of the feature space constructed based on EVI is better than that of NDVI;TVDI,TVDI-E and soil moisture site data all show significant negative correlations,in which the correlation between TVDI-E and soil moisture is higher than that of TVDI;TVDI-E is more applicable to drought monitoring in Jiangxi province.The results can provide a reference for drought monitoring research in Jiangxi province and similar areas.

Jiangxi provinceTVDIEVINDVIDrought monitoring

林淇昕、张秀平

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江西省水利科学院,江西省鄱阳湖流域生态水利技术创新中心,江西省鄱阳湖水资源与环境重点实验室,江西南昌,330029

江西省 TVDI EVI NDVI 干旱监测

江西省科技厅重点研发计划江西省科技+水利'联合计划江西省科技+水利'联合计划江西水利科技项目

20232BBG700292023KSG010052022KSG01002202324YBKT01

2024

江西水利科技
江西省水利科学研究院 江西省水利厅科技情报站 江西省水利学会

江西水利科技

影响因子:0.292
ISSN:1004-4701
年,卷(期):2024.50(3)
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