Present land use and cover patterns and their development potential in North Ningxia

被引:8
作者
Weicheng Wu
Wenfeng Zhang
机构
[1] University of Louvain,Dept. of Geography
[2] Remote Sensing Center of Ningxia,undefined
关键词
land use and cover patterns; human-environment relationship; development potential; North Ningxia; cross-sectional analysis; spatial determinant; F301.24;
D O I
10.1007/BF02873147
中图分类号
学科分类号
摘要
With the objectives to acquire the fundamental data of the territorial resource, understand the impacts of human activities on the land use and cover patterns and evaluate the potential of the future exploitation, an intensive land cover classification with an accuracy of 93% has been completed for North Ningxia by remote sensing technique based on the adoption of a combination method composed of texture training, maximum likelihood classification and post-processing such as re-allocation and aggregation. This classification result was incorporated with the contemporaneous socio-economic and meteorological data for cross-sectional regression modelling to reveal the spatial determinants of the land cover patterns and understand the human-environmental relationships. A tentative evaluation on the potential of soil exploitation in the near future was carried out in combination with our land use and cover change detection results aiming at supplying some useful references for the central and local governments in their sustainable land use planning.
引用
收藏
页码:54 / 62
页数:8
相关论文
共 41 条
[1]  
Atkinson P M(1997)Neural networks in remote sensing International Journal of Remote Sensing 18 699-709
[2]  
Tatnall A R(1999)A method on land cover classification by combining unsupervised algorithm and training areas data Geocarto International 14 13-17
[3]  
Chen X(1990)Classification of SPOT HRV imagery and texture features International Journal of Remote Sensing 11 551-556
[4]  
Hu H(1992)A comparison of spatial feature extraction algorithms for land use classification with SPOT HRV data Remote Sensing of Environment 40 137-151
[5]  
Tateishi R(1996)Mapping ecological land systems and classification uncertainty from digital elevation and forest-cover data using neural networks Photogrammetric Engineering and Remote Sensing 62 1249-1260
[6]  
Franklin S E(1980)Utilizing Landsat imagery to monitor land use change: a case study in Ohio Remote Sensing of Environment 9 189-196
[7]  
Peddle D R(1973)Textural features for image classification IEEE Transactions on Systems, Man and Cybernetics SMC-3 610-621
[8]  
Gong P(1997)Landscape and plant community boundaries in biogeography Progress in Physical Geography 2 315-353
[9]  
Marceau D J(1997)Modelling and monitoring land-cover changes processes in tropical regions Progress in Physical Geography 21 375-393
[10]  
Howarth P J(1997)Spatial modelling of deforestation in southern Cameroon: spatial dis-aggregation of diverse deforestation processes Applied Geography 17 143-162