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摘要： DMSP/OLS夜间灯光数据是表征人类活动强度的数据源之一，被广泛应用于城市提取与扩展研究中。城市灯光指数(VANUI)提供了一种简单、方便且结果良好的DMSP/OLS夜光影像去饱和方法，但该方法为剔除水体直接去除数值为负的区域，不仅过度剔除桥体等水面建筑，也提取出沿海区域的水产养殖区，降低提取精度。基于此，结合DMSP/OLS夜光数据与Landsat数据构建的植被指数(NDVI)和水体指数(MNDWI)，提出了一种新的去饱和指数RwNTLI，以广州市为试验区，从城市识别能力和夜光饱和缓解效果方面对比了两种指数。结果表明：RwNTLI指数不仅可以有效缓解夜光饱和效应，同时能够解决VANUI存在问题，且其与辐射定标数据（RCNTL）的相关性高于VANUI指数与RCNTL的相关性。因此，该指数是一种简单有效的夜光去饱和指数，能够更好地描述城市夜间灯光特征，将来在城市建成区提取上具有较高的应用价值。 关键词： DMSP/OLS;  Landsat指数;  城市建成区;  去水体;  饱和     Abstract: Defense Meteorological Satellite Program/Operational Linescan System(DMSP/OLS)is one of the data sources，which can effectively reflect human activities of earth surfaces.During the past decade，DMSP/OLS had been extensively applied in urban extraction and extension study.In the recent year，the Vegetation Adjusted NTL Urban Index(VANUI)has been proposed and had proven to be a simple，convenient and high precision desaturation index to extract urban area.In VANUI method，negative values of imagery were directly eliminated to remove water body，which not only removed the bridge over the river and building but also extracted the aquaculture areas along the coast，thus，this method reduced the extraction accuracy.This paper proposed a new index\|RwNTLI，combining DMSP/OLS nighttime light data and the vegetation index (NDVI)and water index (MNDWI)which were constructed by Landsat data.In this study，Guangzhou was taken as experimental area.By comparing the VANUI index with the ability to identify ground objects as well as the ability to alleviate saturation regions，the result showed RwNTLI index could effectively solve the problem of VANUI as well as eliminate saturation effect of nighttime light imagery.Among them，the correlation between RwNTLI index and RCNTL is better than that of VANUI index and RCNTL.Therefore，RwNTLI index is a simple and effective index of luminous desaturation，which has more advantages than VANUI index in describing the characteristics of night lights of urban areas and will have higher application value in urban built\|up areas in the future.

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