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天然气储气库的泄露将导致经济、生态和安全等方面的问题。高光谱遥感可通过泄露区域植被的光谱变化间接检测泄露情况。以大豆为研究对象,设计了模拟天然气泄露胁迫的田间对照实验,分析了天然气泄露胁迫下大豆的冠层光谱特征。结果表明,与正常生长的大豆冠层光谱相比,胁迫中期的大豆冠层光谱变化显著。对对照区和实验区550~1 000 nm波段范围内的大豆冠层光谱进行单因素方差分析,以P
<
0.05检验水平下各期结果中F > F
mean
的波段为天然气泄露胁迫敏感波段,设计了天然气泄露胁迫大豆指数(NGSBI);并基于Jeffries-Matusita定量检验法与LIC、NDVI
705
、NPCI指数的识别效果进行比较,证明了在大豆胁迫中期NGSBI能很好地识别出天然气微泄露对大豆的胁迫。
冉维维.融合光谱-空间-时相特征的天然气微泄漏胁迫植被识别[D].中国矿业大学(北京),2021(02).
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李辉,刘姁升,蒋金豹,陈绪慧,张帅,唐珂,赵新伟,杜兴强,玉龙飞雪.基于冬小麦高光谱图像的天然气微泄漏胁迫区域提取[J].光谱学与光谱分析,2024(03).
吴进二.喀斯特区植被叶片含水量高光谱反演的初探[J].地理空间信息,2020(12).
李辉,蒋金豹,陈绪慧,彭金英,乔小军,王思佳.基于连续小波变换的地下天然气微泄漏点识别模型[J].光谱学与光谱分析,2019(12).
姚胜男,蒋金豹,史晓霞,王文佳,孟豪.天然气微泄漏胁迫下大豆冠层叶绿素含量的高光谱估测[J].地理与地理信息科学,2019(05).
蔡庆空,李二俊,蒋金豹,乔小军,蒋瑞波,冯海宽,刘绍堂,崔希民.联合光谱-空间信息的短波红外高光谱图像茶叶识别模型[J].光谱学与光谱分析,2019(08).
李梦梦,蒋金豹,刘东.高光谱遥感识别地下储存天然气微泄漏点[J].光谱学与光谱分析,2018(12).
乔小军,蒋金豹,李辉,亓晓彤,袁德帅.高光谱图像识别霉变花生的光谱特征分析与指数模型构建[J].光谱学与光谱分析,2018(02).
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蒋金豹,乔小军,何汝艳,田奋民.用近红外高光谱图像区分不同品质的建筑涂料[J].光谱学与光谱分析,2016(02).
蒋金豹,何汝艳,Michael D Steven,胡卿杨.模拟实验研究利用植被冠层光谱探测CO_2轻微泄漏点[J].光谱学与光谱分析,2015(10).
蒋金豹,何汝艳,STEVEND Michael.基于连续小波变换的地下储存CO_2泄漏高光谱遥感监测[J].煤炭学报,2015(09).
蒋金豹,李一凡,郭海强,刘益青,陈云浩.不同病害胁迫下大豆的光谱特征及识别研究[J].光谱学与光谱分析,2012(10).
陈云浩,蒋金豹,Michael D Steven,宫阿都,李一凡.地下储存CO_2泄漏胁迫下地表植被光谱变化特征及识别研究[J].光谱学与光谱分析,2012(07).
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