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| 1 | Remote Sensing Image Classification Based on Decision Tree in the Karst Rocky Desertification Areas: A Case Study of Kaizuo Township显示文摘Karst rocky desertification is a phenomenon of land degradation as a result of affection by the interaction of natural and human factors.In the past,in the rocky desertification areas,supervised classification and unsupervised classification are often used to classify the remote sensing image.But they only use pixel brightness characteristics to classify it.So the classification accuracy is low and can not meet the needs of practical application.Decision tree classification is a new technology for remote sensing image classification.In this study,we select the rocky desertification areas Kaizuo Township as a case study,use the ASTER image data,DEM and lithology data,by extracting the normalized difference vegetation index,ratio vegetation index,terrain slope and other data to establish classification rules to build decision trees.In the ENVI software support,we access the classification images.By calculating the classification accuracy and kappa coefficient,we find that better classification results can be obtained,desertification information can be extracted automatically and if more remote sensing image bands used,higher resolution DEM employed and less errors data reduced during processing,classification accuracy can be improve further. | Shuyong MA Xinglei ZHU Yulun AN | 2014 | Asian Agricultural Research2014，6，7： | 2 |
| 2 | Monitoring of Karst Rocky Desertification Control Projects Based on Remote Sensing Images with Medium and High Spatial Resolution——A Case Study of Disi River Basin in Puan County显示文摘[Objective] The study aimed to improve methods of monitoring Karst Rocky Desertification( KRD) control projects and increase the working efficiency.[Method] Based on remote sensing images with medium and high spatial resolution,KRD control projects in Disi River basin in Puan County were monitored,that is,information of the project construction in the study area was extracted using supervised classification and human-computer interactive interpretation,and the monitoring results were testified with the aid of GPS.[Result] It was feasible to monitor KRD control projects in Disi River basin based on remote sensing images with medium and high resolution,and the monitoring accuracy was satisfactory,reaching above 80% or 90%,so the method is worthy of popularizing.[Conclusion] Remote sensing images with medium and high resolution can be used to monitor other KRD control projects. | Haixiang Guo Yulun An | 2013 | Meteorological and Environmental Research2013，4，7： | 1 |
| 3 | Dynamic Assessment on Ecological Frangibility of the Caohai Wetland in Guizhou Province显示文摘By analyzing current situation of the Caihai Wetland, combining with '3S' technology, theory of ecosystem health, landscape ecology theory, applying the model of Pressure–State–Response, this paper assessed dynamic changes of ecological frangibility of the Caohai Wetland in Guizhou in 1992, 2000 and 2013. The results showed that the wetland ecosystem had sound principal functions, but also witnessed different degrees of degradation. The ratio of basic complete ecosystem landscape area in the Caohai Wetland reduced from 70.56% in 1992 to 66.26% in 2013, and the ratio of destructed landscape area increased from 12.11% in 1992 to 13.38% in 2013. | HU Baofang AN Yulun | 2015 | Journal of Landscape Research2015，7，6： | 0 |
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