遥感影像的空间分辨率对提取崩岗精度的影响
Effects of Spatial Resolution of Remote Sensing Image on the Accuracy of Extracted Slope Collapse Data
李昊洁 1谢浩 1胥闻博 1刘洪鹄1
作者信息
- 1. 长江水利委员会长江科学院，湖北武汉430010
- 折叠
摘要
从0．6 m QuickBird、2．5 m ALOS、10．0 m ALOS遥感影像中分别提取崩岗的特征数据，分析遥感影像的分辨率对崩岗数据精度的影响。结果表明：从0．6 m QuickBird能容易地提取崩岗数据，且重现性较好，从2．5 m ALOS能提取崩岗数据，但重现性不强，从10．0 m ALOS无法提取崩岗。从0．6 m QuickBird和2．5 m ALOS提取的崩岗，数量基本一致，但位置不一致、边界不重合、形状差别很大，从2．5 mALOS提取的崩岗周长平均减少20．83％，占58．33％的崩岗面积减少了，平均减少19．78％。因此，可断定0．6 m QuickBird能反映崩岗的实际情况，2．5 m ALOS能较好地反映崩岗的实际情况，10．0 m ALOS完全不能提取崩岗数据。但高精度遥感影像的获取比较困难，且价格较贵。
Abstract
Slope collapse data were extracted from the 0.6 m QuickBird,2.5 m ALOS and 10.0 m ALOS remote sensing image.Effects of spatial resolution on the accuracy of slope collapse data were analyzed.Results showed that it was very easy to extract slope collapse data from remote sensing image with spatial resolution of 0.6 m QuickBird,and it had good repeatability.The slope collapse data could also be extracted from the remote sensing image with spatial resolution of 2.5 m ALOS,but the repeatability was relatively poor.The slope collapse data could not extract from the remote sensing image with spatial resolution of 10.0 m ALOS.The slope collapse data were extracted from the remote sensing imagery with spatial resolution of 0.6 m QuickBird and 2.5 m ALOS.It was found that position,shape and boundary differed greatly.The circumference from the remote sensing image with spatial resolution of 2.5 m ALOS was reduced by 20.83%.Among them,area of 58.33% slope collapse de-creased,which reduced by 19.78%.Thus,it was concluded that the very correct slope collapse data could be extracted from the remote sensing imagery with spatial resolution of 0.6 m ALOS while the slope collapse data was relatively good from 2.5 m ALOS.But it could not be extracted from the remote sensing imagery with spatial resolution of 10.0 m ALOS.It should be noted that it was very difficult to acquire the high precision remote sensing image and its price was very high .
关键词
空间分布/通用土壤流失方程/QuickBird卫星/ALOSKey words
Spatial distribution/Universal soil loss equation/Quickbird Satellite/ALOS引用本文复制引用
基金项目
国家自然科学基金(41301297)
水利部公益专项(201501047)
出版年
2016
国家科技期刊平台
NSTL
万方数据