摘要
针对岩溶区水体破碎、植被与水体重叠的特点提出一种新型混合水体指数对该地区水资源管理与评估有着重要作用。以2017年普者黑的Landsat8 OLI影像数据为基础数据,选择不同流域水系类型,构建新型混合水体指数NEWI,与归一化水体指数(Normalized Difference Water Index,NDWI)和改进的归一化水体指数(Modified Normalized Difference Water Index,MNDWI)进行对比,分析各指数的水体信息提取的准确性和完整性。结果表明:新型水体指数NEWI的提取效果优于NDWI和MNDWI,特别是含有坑塘和水体植被的破碎湖泊区域,NEWI计算水体与阴影的区分度25.3%,大于NDWI(17.9%)和MNDWI(15.6%);水体与非水体的总体识别精度为88.83%,Kappa系数0.76,也大于NDWI(87.10%,Kappa系数0.74)和MNDWI(81.93%,Kappa系数0.64)。利用NEWI对遥感影像进行水体增强的方法,不仅能够很好地提取出开阔水域的水体信息,边缘清晰可靠;对于破碎水域,NEWI水体提取精度最高,并且相比基于复杂数学理论的分类提取过程,操作相对简单,易于推广,能够较好地提高岩溶破碎区的水系提取和水域实时监测的精度。
Water in Karst area is broken and the characteristics of vegetation and water body overlapping put forward a new type of mixed water index of the regional water resources management and evaluation plays an important role.The Puzhehei's Landsat8 OLI is based on the data of image data,building a new hybrid NEWI water index.Results show that the new water body index NEWI extracting effect is better than that of NDWI and MNDWI,especially vegetation breakage lakes contain pits and water area,NEWI calculated 25.3%degree of differentiation of water body and shadow,is greater than the NDWI(17.9%)and MNDWI(15.6%).Water's overall recognition accuracy is 88.83%,the Kappa coefficient 0.76 is greater than the NDWI(87.10%,Kappa coefficient 0.74)and MNDWI(81.93%,Kappa coefficient 0.64).NEWI water was used by the remote sensing image enhancement method,it can not only effectively extract the open water of the water body information,the edge is clear and reliable.For broken waters,NEWI water extract the highest precision,and compared with the classification of extraction process,based on the theory of the complex mathematical operation is relatively simple,easy to promote,can well improve Karst fractured zone,the accuracy of extraction and water drainage system for real-time monitoring.
作者
毛转梅
刘青
彭尔瑞
陈劲松
令志强
MAO Zhuan-mei;LIU Qing;PENG Er-rui;CHEN Jin-song;LING Zhi-qiang(College of Water Conservancy, Yunnan Agricultural University, Kunming 650201, China;College of Resources and Environment,Yunnan Agricultural University,Kunming 650201,China)
出处
《中国农村水利水电》
北大核心
2021年第1期71-75,共5页
China Rural Water and Hydropower
基金
云南省科技惠民专项计划项目(2016RA024)
云南农业大学学生科技创新创业行动基金项目(2020ZKY373)。
关键词
破碎水域
遥感信息提取
NEWI
普者黑
karst area
broken waters
remote sensing information extraction
NEWI
Puzhehei
