scholarly journals Research on Cultivated Land Change Based on GIS and High Resolution Remote Sensing Images

2018 ◽  
Vol 228 ◽  
pp. 02013
Author(s):  
Haibo Yu

This paper study an automatic monitoring method for land change based on high resolution remote sensing images and GIS data, and we use three classification methods to classify and fuse the research area. Secondly, the paper calculates the corresponding map class components and compares them with their historical attributes; it can automatically monitor land use change. The experimental results show that the fuzzy decision fusion classification can significantly improve the classification effect, and it can accurately determine the change area accurately and automatically. However, there are some partial errors in the region.

2012 ◽  
Vol 518-523 ◽  
pp. 5788-5792
Author(s):  
Zheng Dong Xie ◽  
Jian Zhang ◽  
Bu Zhuo Peng

The paper was supported by The Second Land Investigation Item and took Nanjing city, Jiangsu Province as a case study. The research of the theory, technique and application for land use investigation was achieved by the high-resolution remote sensing images for application, designed a set of technique of land use investigation for land property right management. The database and platform system were established to carry out the dynamic management of land use. Based on the summarization of the correlative studies, The paper designed a set of technique of land investigation for land property right management and also designed the technical process, dealt with the remote sensing images, detected the changed information, classified the land, investigated the land property right and established the database to serve for the management of land property right. And it has been successfully used in Nanjing. It’s unique to use the high-resolution remote sensing images by QuichBird for the scale of 1:5000 in land use investigation in area cities which is also the first time in Nanjing City.


2014 ◽  
Vol 539 ◽  
pp. 173-176
Author(s):  
Zi Han Qin

Research of a high-resolution remote sensing images and automatic monitoring of land changes based on GIS data. Were used three kinds of fuzzy classification and data fusion classification of the study area. combined with the historical period GIS thematic data and classification results based on highly accurate classification results, calculated the corresponding polygons category ingredients and comparative analysis of its historical properties, and automatically monitor change of land use. The experimental results show that the fuzzy decision fusion classification can significantly improve the classification results, to obtain more accurate results than a single classifier. Decision classification results combined with GIS data changes in regional decision experimental results show that there is a big change in the region able to accurately automatically determine change area, area less part of the change part of misjudgment phenomenon.


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