地理空间信息2026，Vol.24Issue(1)：13-17,109,6.DOI:10.3969/j.issn.1672-4623.2026.01.003
基于高光谱遥感的天然气微泄露植被胁迫识别研究
Research on Vegetation Stress Identification by Natural Gas Micro-leakage Based on Hyperspectral Remote Sensing
摘要
Abstract
The leakage of natural gas storage facilities can lead to issues related to economics,ecology,and safety.Hyperspectral remote sensing can indirectly detect leakage through the spectral changes of vegetation in the leakage area.We performed a field experiment using beans as test plants,to study the bean canopy spectral characteristics under natural gas leakage stress.The results showed that the bean canopy spectra during the medium-term stress period exhibited significant changes compared to those of normally growing beans.By performing the one way analysis of variance on the spectra of beans in the control and experimental plots within the 550～1 000 nm wavelength range,the bands with P<0.05 and F>Fmean were selected as sensitive bands.The natural gas stress bean index(NGSBI)was constructed using the selected bands.We used the Jeffries-Matusita distance method to compare this result with LIC,NDVI705 and NPCI.The result shows that NGSBI can well identify the stress of natural gas micro-leakage on beans during the medium-term stress period.关键词
天然气微泄露/植被胁迫识别/大豆/光谱特征/单因素方差分析/指数模型Key words
natural gas micro-leakage/vegetation stress identification/bean/spectral characteristic/one way analysis of variance/index model分类
天文与地球科学引用本文复制引用
李培源,李康宁,张嘉璐,丁志广,李一灿,蒋金豹..基于高光谱遥感的天然气微泄露植被胁迫识别研究[J].地理空间信息,2026,24(1):13-17,109,6.基金项目
国家自然科学基金资助项目(42271389). （42271389）
