Application and study of land-reclaim based on Arc/Info

Jun Zhao; Ruiju Zhang; Zhian Wang; Shiyong Li

doi:10.1117/12.651771

2 December 2005 Application and study of land-reclaim based on Arc/Info

Jun Zhao, Ruiju Zhang, Zhian Wang, Shiyong Li

Proceedings Volume 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications; 60452M (2005) https://doi.org/10.1117/12.651771
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

Abstract

This paper firstly puts forward the evaluation models of land-reclaim, which is derived from the thoery of Fuzzy associative memory nerve network and corresponding supplemental CASE tools, based on the model the mode of land reclaim can determined, and then the elements of land-reclaim are displayed and synthesized visually and virtually by virtue of Arc/Info software. In the process of land reclaim, it is particularly important to build the model of land-reclaim and to map the distribution of soil elements. In this way rational and feasible schemes are adopted in order to instruct the project of land reclaim. This thesis mainly takes the fourth mining area of East Beach as an example and puts this model into practice. Based on Arc/Info software the application of land-reclaim is studied and good results are achieved.

Citation Download Citation

Jun Zhao, Ruiju Zhang, Zhian Wang, and Shiyong Li "Application and study of land-reclaim based on Arc/Info", Proc. SPIE 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications, 60452M (2 December 2005); https://doi.org/10.1117/12.651771

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available