农业大数据学报2024，Vol.6Issue(4)：532-545,14.DOI:10.19788/j.issn.2096-6369.000042
贵州农业干旱指数时空演化协同可视分析
Analysis of Spatiotemporal Evolution of Guizhou Agricultural Drought Index Based on Collaborative Visualization
摘要
Abstract
Nowadays,a set of reliable and efficient monitoring and assessment scheme for spatiotemporal changes is very necessary for the high demand of agricultural drought monitoring.In this study,based on the soil moisture grid data from 1990 to 2022 and the classical agricultural drought indexes SMCI(Soil Moisture Condition Index)and SSI(Standardized Soil Moisture Index),we designed a set of multi-view collaborative and interactive visualization and analysis scheme,which is able to give a new perspective,more comprehensive and more easily adapted to sense on multi-dimensional drought data analysis.The results show that:(1)by analyzing the spatiotemporal changes of drought in Guizhou at different time scales such as year,season and month,we could get a good grasp of the spatiotemporal evolution of drought in Guizhou during these 32 years,and this proves the validity of this study in analyzing the characterization of the spatiotemporal evolution of drought;(2)by comparing the applicable effects of SMCI and SSI in different scenarios,we evaluated the advantages of different monitoring methods in drought analysis,which proves that this study can be used to compare drought indexes.In current agricultural drought monitoring,collaborative visualization analysis can effectively enhance monitoring effect.关键词
时空演化/农业干旱/协同可视化/SMCI/SSIKey words
spatiotemporal evolution/agricultural droughts/collaborative visualization/SMCI/SSI引用本文复制引用
何凌君,龙海,李莉婕,赵泽英..贵州农业干旱指数时空演化协同可视分析[J].农业大数据学报,2024,6(4):532-545,14.基金项目
贵州省科研机构创新能力建设专项(黔科合服企[2021]15) （黔科合服企[2021]15）
贵州省科技计划项目(黔科合支撑[2022]113) （黔科合支撑[2022]113）
贵州省农业科学院科技创新项目(黔农科院科技创新[2022]14). （黔农科院科技创新[2022]14）
