基于哨兵2可见光波段的喀斯特地区植被提取方法
收稿日期: 2020-09-21
修回日期: 2020-11-20
网络出版日期: 2021-01-26
基金资助
国家自然科学基金项目(41661081)
Study on Vegetation Extraction Method in Karst Areas Based on Visible Light Band of Sentinel 2
Received date: 2020-09-21
Revised date: 2020-11-20
Online published: 2021-01-26
为了从可见光波段准确的提取植被信息,研究喀斯特地貌植被在可见光范围内的相关特征,利用哨兵2影像可见光波段,建立红、绿、蓝3个波段的波谱空间特征。结果表明:植被光谱在蓝-绿的空间比值特征与其他地物存在可分离性,而且植被的亮度值在3个可见光内都相对较低。提取的植被结果与归一化差异植被指数(NDVI)、过绿指数(EXG)、超绿超红差异指数(EXGR)、植被指数(VEG)、可见光波段差异指数(VDVI)、归一化绿红差异指数(NGRDI)和归一化绿蓝差异指数(NGBDI)对比,其精度达到92.67%,优于其他可见光提取方法,表明该方法在可见光波段对喀斯特地区植被提取的有效性。
段纪维 , 钟九生 , 江丽 , 代仁丽 , 何志远 , 林双双 , 何鑫 . 基于哨兵2可见光波段的喀斯特地区植被提取方法[J]. 林草资源研究, 2020 , 0(6) : 143 -152 . DOI: 10.13466/j.cnki.lyzygl.2020.06.023
In order to accurately extract vegetation information from visible band,study the characteristics of Karst vegetation in the visible light range and use the visible light band of the Sentinel 2 image,the spatial characteristics of the three bands of red,green and blue are created.The results showed that the spatial ratio characteristics of vegetation spectrum in blue-green are separable from other ground features and the brightness value of the vegetation is relatively low in the three visible lights.Comparing the extracted vegetation results with the normalized difference vegetation index,over-green index,ultra-green and ultra-red difference index,vegetation index,visible light band difference index,normalized green-red difference index,and normalized green-blue difference index,the study finds its precision is 92.67%,which is superior to other visible light extraction methods.It shows that the method is effective for the extraction of vegetation in Karst areas in the visible light band.
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