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您的检索式：作者名="HU LuanYun"
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| 1 | China’s urban expansion from 1990 to 2010 determined with satellite remote sensing显示文摘Based on the same data source of Landsat TM/ETM+ in 1990s,2000s and 2010s,all urban built-up areas in China are mapped mainly by human interpretation.Mapping results were checked and refined by the same analyst with the same set of criteria.The results show during the last 20 years urban areas in China have increased exponentially more than 2 times.The greatest area of urbanization changed from Northeastern provinces in 1990s to the Southeast coast of China in Jiangsu,Guangdong,Shandong,and Zhejiang in 2010s.Urban areas are mostly converted from croplands in China.Approximately 17750 km 2 croplands were converted into urban lands.Furthermore,the conversion from 2000 to 2010 doubled that from 1990 to 2000.During the 20 years,the most urbanized provinces are Jiangsu,Guangdong,Shandong and Zhejiang.We also analyzed built-up areas,gross domestic production (GDP) and population of 147 cities with a population of greater than 500000 in 2009.The result shows coastal cities and resource-based cities are with high economic efficiency per unit of built-up areas,resource-based cities have the highest population density,and the economic efficiency of most coastal provinces are lower than central provinces and Guangdong.The newly created urban expansion dataset is useful in many fields including trend analysis of urbanization in China;simulation of urban development dynamics;analysis of the relationship among urbanization,population growth and migration;studies of carbon emissions and climate change;adaptation of climate change;as well as land use and urban planning and management. | WANG Lei LI CongCong YING Qing CHENG Xiao WANG XiaoYi LI XueYan HU LuanYun LIANG Lu YU Le HUANG HuaBing GONG Peng | 2012 | Chinese Science Bulletin2012，57，22： | 64 |
| 2 | A 30 meter land cover mapping of China with an efficient clustering algorithm CBEST显示文摘Remote sensing based land cover mapping at large scale is time consuming when using either supervised or unsupervised classification approaches. This article used a fast clustering method—Clustering by Eigen Space Transformation(CBEST) to produce a land cover map for China. Firstly, 508 Landsat TM scenes were collected and processed. Then, TM images were clustered by combining CBEST and K-means in each pre-defined ecological zone(50 in total for China). Finally, the obtained clusters were visually interpreted as land cover types to complete a land cover map. Accuracy evaluation using 2159 test samples indicates an overall accuracy of 71.7% and a Kappa coefficient of 0.64. Comparisons with two global land cover products(i.e., Finer Resolution Observation and Monitoring of Global Land Cover(FROM-GLC) and GlobCover 2009) also indicate that our land cover result using CBEST is superior in both land cover area estimation and visual effect for different land cover types. | HU LuanYun CHEN YanLei XU Yue ZHAO YuanYuan YU Le WANG Jie GONG Peng | 2014 | Science China Earth Sciences2014，57，10： | 4 |
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