中国马铃薯2026，Vol.40Issue(2)：155-160,6.DOI:10.19918/j.cnki.1672-3635.2026.02.010
基于多源遥感与GIS的马铃薯晚疫病早期空间预警技术
Early Spatial Warning Technology for Potato Late Blight Based on Multi-Source Remote Sensing and GIS
陈天慧1
作者信息
- 1. 贵州省黔南州贵定县新巴镇人民政府,贵州 黔南 551306||国家开放大学,北京 100039
- 折叠
摘要
Abstract
This study integrated Sentinel-2 imagery,meteorological and terrain data to construct a random forest-based early disease identification model and a GIS-driven three-level spatial early warning framework for Guiding County,Guizhou Province in order to address the limitations of traditional potato late blight monitoring.Red-edge indices(NDRE and NDVI705)were most sensitive to early infection,distinguishing healthy from mildly infected plants better than NDVI(P<0.05);and the random forest model achieved an overall accuracy of 88.3%(Kappa=0.847).Verified against independent field samples,the framework issued warnings 3-5 days(4 days on average)in advance with a warning accuracy of 84.6%(omission and commission errors of 9.2%and 6.2%,respectively).These findings would provide decision support for precise potato late blight control in winter potato-growing areas of Guiding County and surrounding regions.关键词
多源遥感/地理信息系统/马铃薯/病害Key words
multi-source remote sensing/geographic information system/potato/diseases分类
农业科技引用本文复制引用
陈天慧..基于多源遥感与GIS的马铃薯晚疫病早期空间预警技术[J].中国马铃薯,2026,40(2):155-160,6.
