摘要
由于传感器的局限性,DMSP/OLS夜间灯光数据会出现饱和现象。针对这一问题,NGDC发布了辐射定标数据用以反映真实的灯光亮度,但其目前仅有少数几年的产品。鉴于此,考虑到NTL与IBI指数从植被区至城市区具有相同的变化趋势,并且IBI指数能在一定程度上缓解水体以及植被的影响,提出了INTL指数,目的是提供一种更有效的去饱和方法。以东北三省为研究区域,通过对比INTL、VANUI和NTL的城市内部地物刻画能力发现,INTL可以很好地区分城市中高植被覆盖区、大面积水体区和人类活动较低的区域。通过构建INTL-RCNTL和VANUI-RCNTL回归分析发现,前者的相关系数均在不同程度上高于后者。在市级尺度上结合GDP和年末人口总数评价INTL指数的估算能力,发现INTL反演社会指标具有较高的精度,具有较高的应用价值。
DMSP/OLS nighttime lighting data can be saturated due to the limits of the sensor. In order to address this problem,NGDC has released radiation calibration data to reflect the true lighting brightness,but its products are only available for a few years. Based on this,considering the NTL and IBI indices have the same trend from vegetated areas to urban areas,and the IBI index can mitigate the effects of water bodies and vegetation to some extent,the INTL index is proposed to provide a more effective desaturation method. In this paper,taking three northeastern provinces as the study area,it is found that INTL can well distinguish high vegetation cover areas,large water body areas,and areas with low human activities in cities by comparing the ability of INTL,VANUI and NTL to portray inner-city features. By building INTL-RCNTL and VANUI-RCNTL regression analysis,it is found that the correlation coefficients of the former are all in different degree higher than that of the latter. The estimation ability of the INTL index is evaluated at the municipal scale in combination with GDP and total year-end population,and it is found the INTL inverse social indicators have high accuracy and thus have high application value.
作者
辛京达
杨栋淏
李亚强
陈成
王建雄
XIN Jingda;YANG Donghao;LI Yaqiang;CHEN Cheng;WANG Jianxiong(College of Water Conservancy,Yunnan Agricultural University,Kunming 650500,China)
出处
《遥感信息》
CSCD
北大核心
2022年第1期80-87,共8页
Remote Sensing Information
基金
云南省教育厅科学研究基金项目(2020Y0177,2020Y0186)。
