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| 1 | Spatial-temporal Pattern and Population Driving Force of Land Use Change in Liupan Mountains Region, Southern Ningxia, China显示文摘The Liupan Mountains is located in the southern Ningxia Hui Autonomous Region of China, which forms an important dividing line between landforms and bio-geographic regions. The populated part of the Liupan Mountains region has suffered tremendous ecological damages over time due to population pressure, excessive demand and inappropriate use of agricultural land resources. In this paper, datasets of land use between 1990 and 2000 were obtained from Landsat TM imagery, and then spatial models were used to characterize landscape conditions. Also, the relationship between the population density and land use/cover change (LUCC) was analyzed. Results indicate that cropland, forestland, and urban areas have increased by 44,186ha, 9001ha and 1550ha, respectively while the grassland area has appreciably decreased by 54,025ha in the study period. The decrease in grassland was most notable. Of the grassland lost, 49.4% was converted into cropland. The largest annual land conversion rate in the study area was less than 2%. These changes are attributed to industrial and agricultural development and population growth. To improve the eco-economic conditions in the study region, population control, urbanization and development of an ecological friendly agriculture were suggested. | QUAN Bin M J M ROMKENS TAO Jianjun LI Bicheng LI Chaokui YU Guanghui CHEN Qichun | 2008 | Chinese Geographical Science2008，18，4： | 15 |
| 2 | GIS-Based Risk Assessment of Debris Flow Disasters in the Upper Reach of Yangtze River显示文摘This paper discussed theory and methodologies of debris-flow risk assessment and established an implementation process according to indicators of debris-flow hazard degree,vulnerability,risk degree,etc. Among these methodologies,historical and potential hazard degree was comprehensively considered into hazard assessment and hazard index was presented to indicate the debris-flow hazard degree. Regarding debris-flow vulnerability assessment,its statistical data and calculating procedure were based on the hazard-degree regionalization instead of administrative divisions,which improved the as-sessing scientificity and precision. These quantitative methodologies inte-grated with Geography Information System(GIS) were applied to the risk assessment of debris flows in the upper reach of Yangtze River. Its results were in substantial agreement on investigation data and the actual distribution of debris flows,which showed that these principles and methodologies were reasonable and feasible and can provide basis or reference for debris-flow risk assessment and disaster management. | HAN Yongshun LIU Hongjiang ZHONG Dunlun SU Fenghuan LI Chaokui | 2007 | Wuhan University Journal of Natural Sciences2007，12，4： | 9 |
| 3 | Study on spatial distribu-tion of soil heavy metals in Huizhou city based on BP - ANN model-ing and GIS显示文摘 | LI Yin LI Chaokui TAO Jianjun | 2011 | Procedia Environmental Sciences2011，1，： | 1 |
| 4 | Study on spatial distribution of soil heavy metals in Huizhou city based on BP-ANN modeling and GIS显示文摘 | Li Yin Li Chaokui Tao Jianjun | 2011 | Procedia Environmental Sciences2011，，10： | 1 |
| 5 | Spatial Decision Support Proofs:Obtaining and Applying显示文摘 | Chaokui Li Wujun | 2006 | GIM:International Magazine for Geomatics2006，，1： | 1 |
| 6 | Research on the Classification of High Resolution Image Based on Object-Oriented and Class Rule显示文摘 | Li Chaokui Fang Jun Wu Baiyan Chen Jianhui | 2018 | Journal of Earth Science and Engineering2018，8，1： | 1 |
| 7 | Processing Approach of Non-linear Adjustment Models in the Space of Non-linear Models显示文摘This paper investigates the mathematic features of non-linear models and discusses the processing way of non-linear factors which contributes to the non-linearity of a non-linear model. On the basis of the error definition,this paper puts forward a new adjustment criterion, SGPE.Last,this paper investigates the solution of a non-linear regression model in the non-linear model space and makes the comparison between the estimated values in non-linear model space and those in linear model space. | LI Chaokui ZHU Qing SONG ChengfangLI Chaokui,associate professor,Ph.D,State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,129 Luoyu Road,Wuhan 430079,China. | 2003 | Geo-Spatial Information Science2003，6，2： | 0 |
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