Urban areas extraction at regional and global scales remains a challenge. To map urban areas using DMSP-OLS nighttime light data is limited due to the saturation of data values, especially in urban cores. Different nighttime facula sizes lead to different degrees of light overflow, which causes difficulty for quantitative analysis. Vegetation-rich areas are selected to avoid the impact of bare soil when visible-near infrared image is used to map urban. To solve the problems above, this paper proposes modified human settlement index (MHSI) on the basis of human settlement index (HSI), which is composed of DMSP-OLS nighttime light data and visible-near infrared image. The MHSI has been tested in China and USA and testified by using the China city statistical data and USA NLCD land cover data. The results indicate that MHSI can overcome the overflow problem effectively and discriminate urban areas from other feature types such as bare soil, water and vegetable. MHSI can extract the regional or global city areas completely, and the accuracy is better than that of HSI and MODIS land cover data sets.
杨晓楠, 徐韵, 田玉刚. 一种用于城市信息提取的改进居民地指数[J]. 国土资源遥感, 2016, 28(4): 127-134.
YANG Xiaonan, XU Yun, TIAN Yugang. A study of urban area extraction with the modified human settlement index. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(4): 127-134.
[1] 卓莉,李强,史培军,等.基于夜间灯光数据的中国城市用地扩展类型[J].地理学报,2006,61(2):169-178. Zhuo L,Li Q,Shi P J,et al.Identification and characteristics analysis of urban land expansion types in China in the 1990s using DMSP/OLS data[J].Acta Geographica Sinica,2006,61(2):169-178.
[2] 吴宏安,蒋建军,周杰,等.西安城市扩张及其驱动力分析[J].地理学报,2005,60(1):143-150. Wu H A,Jiang J J,Zhou J,et al.Dynamics of urban expansion in Xi'an City using Landsat TM/ETM+ data[J].Acta Geographica Sinica,2006,60(1):169-178.
[3] 徐涵秋.一种快速提取不透水面的新型遥感指数[J].武汉大学学报:信息科学版,2008,33(11):1150-1153. Xu H Q.A new remote sensing index for fastly extracting impervious surface information[J].Geomatics and Information Science of Wuhan University,2008,33(11):1150-1153.
[4] Deng C B,Wu C S.BCI:A biophysical composition index for remote sensing of urban environments[J].Remote Sensing of Environment,2012,127:247-259.
[5] 吴志杰,赵书河.基于TM图像的"增强的指数型建筑用地指数"研究[J].国土资源遥感,2012,24(2):50-55. Wu Z J,Zhao S H.A study of enhanced index-based built-up index based on Landsat TM imagery[J].Remote Sensing for Land and Resources,2012,24(2):50-55.
[6] Rouse J W Jr,Haas R H,Schell J A,et al.Monitoring vegetation systems in the great plains with ERTS[C]//Third Earth Resources Technology Satellite-1 Symposium-Volume I:Technical Presentations.Washington,DC:NASA Special Publication,1974:309.
[7] Qi J,Chehbouni A,Huete A R,et al.A Modified soil adjusted vegetation index[J].Remote Sensing of Environment,1994,48(2):119-126.
[8] As-Syakur A R,Adnyana I W S,Arthana I W,et al.Enhanced built-up and bareness index(EBBI) for Mapping built-up and bare land in an urban area[J].Remote Sensing,2012,4(10):2957-2970.
[9] 徐涵秋.一种基于指数的新型遥感建筑用地指数及其生态环境意义[J].遥感技术与应用,2007,22(3):301-308. Xu H Q.A new index-based built-up index(IBI) and its eco-environmental significance[J].Remote Sensing Technology and Application,2007,22(3):301-308.
[10] Imhoff M L,Lawrence W T,Stutzer D C,et al.A technique for using composite DMSP/OLS "city lights" satellite data to map urban area[J].Remote Sensing of Environment,1997,61(3):361-370.
[11] Cao X,Chen J,Imura H,et al.A SVM-based method to extract urban areas from DMSP-OLS and SPOT VGT data[J].Remote Sensing of Environment,2009,113(10):2205-2209.
[12] Zhou Y Y,Smith S J,Elvidge C D,et al.A cluster-based method to map urban area from DMSP/OLS nightlights[J].Remote Sensing of Environment,2014,147:173-185.
[13] Small C,Pozzi F,Elvidge C D.Spatial analysis of global urban extent from DMSP-OLS night lights[J].Remote Sensing of Environment,2005,96(3/4):277-291.
[14] Pandey B,Joshi P K,Seto K C.Monitoring urbanization dynamics in India using DMSP/OLS night time lights and SPOT-VGT data[J].International Journal of Applied Earth Observation and Geoinformation,2013,23:49-61.
[15] Liu Q P,Yang Y C,Tian H Z,et al.Assessment of human impacts on vegetation in built-up areas in China based on AVHRR,MODIS and DMSP_OLS nighttime light data,1992-2010[J].Chinese Geographical Science,2014,24(2):231-244.
[16] Zhang Q L,Seto K C.Mapping urbanization dynamics at regional and global scales using multi-temporal DMSP/OLS nighttime light data[J].Remote Sensing of Environment,2011,115(9):2320-2329.
[17] Kasimu A,Tateishi R.Global urban mapping using population density,MODIS and DMSP data with the reference of Landsat images[C]//Proceedings ofthe International Archives of the Photogrammetry,Remote Sensing and Spatial Information Sciences.Beijing:China Institute of Surveying and Mapping,2008,37:1523-1528.
[18] Yi K P,Tani H,Li Q,et al.Mapping and evaluating the urbanization process in northeast China using DMSP/OLS nighttime light data[J].Sensors,2014,14(2):3207-3226.
[19] Lu D S,Tian H Q,Zhou G M,et al.Regional mapping of human settlements in southeastern China with multisensor remotely sensed data[J].Remote Sensing of Environment,2008,112(9):3668-3679.
[20] 中华人民共和国国家统计局.中国统计年鉴[M].北京:中国统计出版社,2014. National Bureau of Statistics People's Republic of China.Statistical yearbook of China[M].Beijing:China Statistics Press,2014.
[21] Elvidge C D,Ziskin D,Baugh K E,et al.A fifteen year record of global natural gas flaring derived from satellite data[J].Energies,2009,2(3):595-622.
[22] Elvidge C D,Sutton P C,Baugh K,et al.National Trends in Satellite Observed Lighting:1992-2009[R].[s.l.]:American Geophysical Union,2011.
[23] Elvidge C D,Hsu F C,Baugh K E,et al.National Trends in Satellite-observed Lighting:1992-2012[M]//Weng Q H.Global Urban Monitoring and Assessment Through Earth Observation.Boca Raton:CRC Press,2014:97-118.
[24] Li X,Xu H M,Chen X L,et al.Potential of NPP-VⅡRS nighttime light imagery for modeling the regional economy of China[J].Remote Sensing,2013,5(6):3057-3081.
[25] Zhang Q,Seto K C.Can night-time light data identify typologies of urbanization? A global assessment of successes and failures[J].Remote Sensing,2013,5(7):3476-3494.
2016, Vol. 28 
