Design and Implementation of Remote Sensing Extraction System of Rural Circulation Land

Abstract:

Hollow village is a widespread phenomenon all over China nowadays. Finding out the potential utilizable land in rural region and promote the land circulation is of great significance to holding the arable land above the red line of 1.8 billion mu in China. In this study, the image characteristics of circulating land in the study area was analyzed firstly. Then the homestead and wasteland were extracted using object-oriented remote sensing information extraction technology, which include multi-scale image segmentation and establishment of extraction rules based on ENVI. After that the purpose, function and features of extracting system of rural circulating land by remote sensing were explained and the development approach of integration of remote sensing and GIS was discussed. The ENVI/IDL secondary development library platform combined with secondary development tools ArcGIS Engine was adopted. Extracting circulating land by remote sensing images, spatial analysis and mapping functions were realized in this system, using COM technology for multi-language and multi-platform hybrid programming.

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 960-964
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.960
• Online since: May 2014
• Authors: Peng Cheng*, Hua Rui Wu, Hua Ji Zhu
• Keywords: Circulation Land, Extracting System, Object-Oriented Method, Remote Sensing

References

[1] Hualou Long, Yurui Li, Yansui Liu, Michael Woods, Jian Zou. Accelerated restructuring in rural China fueled by increasing vs. decreasing balance, land-use policy for dealing with hollowed villages[J]. Land Use Policy, 2012, 29( 1): 11-22.

DOI: 10.1016/j.landusepol.2011.04.003

[2] LIU Yansui, LIU Yu, ZHAI Rongxin. Geographical Research and Optimizing Practice of Rural Hollowing in China[J]. Acta Geographica Sinica, 2009, 64(10): 1193-1202.

[3] Hollow village, can tap the potential use of idle land in China [EB/OL]. http: /tech. hexun. com/2012-03-28/139798255. html, (2012).

[4] Wang Jie-yong，Liu Yan-sui，Chen Yang-fen. Empirical analysis on influencing factors of the hollowing village degree—based on the survey data of sample villages in Shandong province[J]. Journal of Natural Resources, 2013, 28(1): 10-18.

[5] Zhang Ji, Zhu Xiao-hua, Liu Yan-sui. A survey of village land use potentiality based on 0. 25M resolution images- exemplified by 12 villages in Juye country, Shan dong province[J]. Economic Geography, 2010, 30(10): 1717-1721.

[6] Wang Zhong-wu, Liu Xin, Liu Shun-xi, et, al. Preliminary study on monitoring the rural brown field through remote sensing technology[J]. China Land Sciences, 2012, 26(1): 75-82.

[7] Cheng Wei-fang, Zhou Yi, Wang Shi-xin, et, al. Study on the method of recognizing abandoned farmlands based on multispectral remote sensing. Spectroscopy and Spectral Analysis, 2011, 31(6): 1615-1620.

[8] Zhao Ying-shi. Application of remote sensing principle and method [M]. Beijing: Science Press, (2003).

[9] T. Blaschke. Object based image analysis for remote sensing[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2010, (65): 2-16.

DOI: 10.1016/j.isprsjprs.2009.06.004

[10] Cao Bao, Qin Qiming. Application of object oriented approach to SPOTS image classification. In the case of Haidian District in Beijing[J]. Geography and geo information science, 2006, 22(2): 46-49.

[11] ENVI. http: /www. exelisvis. com/ProductsServices/ENVI/ENVI. aspx[EB/OL], (2013).

[12] Deng Shu-bin, Chen Qiu-jin. Study on integration technology of remote sensing and GIS[C]. Proceedings of 2010 annual meeting of China Remote Sensing Applications Association and forum of remote sensing regional development and industry forum, (2010).