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| 基于水体指数的密云水库面积提取及变化监测 | |
| 引用本文： | 曹荣龙,李存军,刘良云,王纪华,阎广建.基于水体指数的密云水库面积提取及变化监测[J].测绘科学,2008,33(2):158-160. |
| 作者姓名： | 曹荣龙 李存军 刘良云 王纪华 阎广建 |
| 作者单位： | 1. 北京师范大学地理学与遥感科学学院遥感与地理信息系统研究中心,遥感科学国家重点实验室,环境遥感与数字国家农业信息化工程技术研究中心,北京,100097;国家农业信息化工程技术研究中心,北京,100097 2. 国家农业信息化工程技术研究中心,北京,100097 3. 北京师范大学地理学与遥感科学学院遥感与地理信息系统研究中心,遥感科学国家重点实验室,环境遥感与数字国家农业信息化工程技术研究中心,北京,100097 |
| 基金项目： | 农业部生态环境保护项目 |
| 摘 要： | 密云水库作为北京市惟一的地表饮用水源地,监测其水面的变化可服务于政府的管理和决策。本文在分析地物光谱特征的基础上,利用TM影像的短波红外波段(TM5)和红光波段(TM3),构造了修订型归一化水体指数(RNDWI)来提取水库水面。RNDWI法能够削弱混合像元因素和山体阴影的影响,精确地提取出水陆边界,甚至可以提取出狭窄条状水体。比较RNDWI、改进归一化差异水体指数(MNDWI)及单波段法的水库水面面积提取精度,发现单波段法精度低,MNDWI法精度高,而RNDWI法精度最高。并基于RNDWI法利用TM影像监测了密云水库近二十年的水面面积动态变化,1996年时面积最大(152.306km2),近十年水库面积逐渐减少,2004年面积最小(56.632km2)。 |
| 关 键 词： | 光谱特征 修订型归一化水体指数 水面面积 监测 |
| 文章编号： | 1009-2307（2008）02-0158-03 |
| 收稿时间： | 2006-12-19 |
| 修稿时间： | 2006年12月19 |
Extracting Miyun reservoir's water area and monitoring its change based on a revised normalized different water index |
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| CAO Rong-long,LI Cun-jun,LIU Liang-yun,WANG Ji-hua,YAN Guang-jian.Extracting Miyun reservoir''''s water area and monitoring its change based on a revised normalized different water index[J].Science of Surveying and Mapping,2008,33(2):158-160. | |
| Authors: | CAO Rong-long LI Cun-jun LIU Liang-yun WANG Ji-hua YAN Guang-jian |
| Abstract: | Miyun reservoir is the sole surface water supply of Beijing City, and detecting the change of the reservoir water is helpful for government management and decision-making. Based on analyzing the spectrum characteristics of water, vegetation and soil etc., a revised normalized different water index (RNDWI) is constructed to extract reservoir area with red band (TM3) and shortwave infrared band (TM5) of Landsat TM. To some extend, RNDWI can eliminate negative influence of mixed pixel and shade in mountainous area, and distinguish water from land area precisely, especially narrow water stri Pcan be identified. By comparing the precision of extracting reservoir area with RNDWI, modified normalized different water index (MNDWI) and single band methods, it is found that the precision of single band method is the lowest, MNDWI is higher and RNDWI is the highest. Then based on RNDWI, the dynamic change of Miyun reservoir’s water area is monitored by multi-temporal Landsat TM images from 1984 to 2005. The Miyun reservoir’s water area was largest (152.306km2) in 1996, since then the water area has gradually reduced year by year. Until 2004, it has become the least (56.632 km2), almost one third of 1996’s. |
| Keywords: | spectrum characteristic revised normalized different water index reservoir water area monitoring |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |