Position: Home > Articles > Remote Sensing Monitoring and Analysis of Poisonous Plants-Aconitum leucostomum Worosch Based on GF-1 WFV Data
Xinjiang Agricultural Sciences
2015,52
(10)
1939-1946
基于GF-1 WFV数据的草原毒草白喉乌头空间分布监测与分析
作 者：
温阿敏;郑江华;穆晨;杨会枫;沙依拉吾;王卫
单 位：
新疆维吾尔自治区治蝗灭鼠指挥部办公室;新疆伊犁州治蝗灭鼠指挥部办公室;新疆大学资源与环境科学学院;绿洲生态教育部重点实验室
关键词：
GF-1 WFV卫星数据;白喉乌头;空间分布;遥感监测
摘 要：
【目的】验证GF-1WFV数据(空间分辨率为16 m)在草原毒草白喉乌头(Aconitum leucostomum Worosch)遥感监测中的适用性,掌握白喉乌头在伊宁县托乎拉苏山地草甸草地的空间分布特征。【方法】利用经过FLASSH大气校正的GF-1 WFV影像,结合高光谱特征分析,采用监督分类与目视解译相结合的方法,对研究区白喉乌头空间分布进行识别,并验证其分类精度。【结果】影像解译总体分类精度达96.036 8%,Kappa系数为0.937 7,分类结果较理想;高光谱特征提取和分析发现,在750~1 050 nm波长范围内白喉乌头和牧草两种植被类型光谱差异明显;编绘了研究区白喉乌头空间分布图,并发现其空间分布总体上沿水沟的分布呈"带状"分布格局,且由北向南,呈递减趋势,主要分布在阳坡的中海拔地区;在东西方向上,向两边逐渐减少。【结论】白喉乌头在托乎拉苏山地草甸草地主要分布在阳坡、道路两侧,整体呈带状分布;分布格局为:北-南方向上,从无-多-少;东-西方向上,从多-多-少;GF-1 WFV数据在草原毒草白喉乌头监测中具有较好可行性。
译 名：
Remote Sensing Monitoring and Analysis of Poisonous Plants-Aconitum leucostomum Worosch Based on GF-1 WFV Data
作 者：
Wen A-min;ZHENG Jiang-hua;MU Chen;YANG Hui-feng;Shayilawu;WANG Wei;School of Resources & Environmental Science,Xinjiang University;Key Laboratory of Oasis Ecology;Xinjiang Animal Husbandry Department;Station of Locust and Mouse Harm Forecast,Ily Kazak Autonomous Prefecture;
关键词：
GF-1 WFV data;;Aconitum leucostomum Worosch;;spatial distribution;;remote sensing monitoring
摘 要：
【 Objective】 The purpose of this study is to verify the applicability of GF-1 WFV data in remote sensing monitoring of the typical grassland poisonous plants Aconitum leucostomum's hazards,and master the spatial distribution of A.leucostomum in Tuohulasu mountain meadow grassland.【Method】 The preprocessing image after FLASSH atmospheric correction was used to identify the spatial distribution of A.leucostomum in the study area,and the methods of supervised classification and visual interpretation were applied to classify the data,thus accurate classification could be obtained.【 Result】 The result of accuracy evaluation indicated that the overall accuracy was 96.036 8%,and the Kappa Coefficient was 0.937 7.And combined with field survey data,it was founded that the classification results presented ideal outcome.【Conclusion】 It was concluded that GF-1 WFV data of 16 m spatial resolution could be used to detect and classify A.leucostomum for grassland in this area,and this study provided a reference for the application of domestic satellite data in remote sensing monitoring of the poisonous plants in grassland.
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