GIS-based weight of evidence modeling for cultivated land suitability mapping

Li-na Lv; Xinqi Zheng

doi:10.1117/12.2019659

19 March 2013 GIS-based weight of evidence modeling for cultivated land suitability mapping

Li-na Lv, Xinqi Zheng

Proceedings Volume 8762, PIAGENG 2013: Intelligent Information, Control, and Communication Technology for Agricultural Engineering; 876203 (2013) https://doi.org/10.1117/12.2019659
Event: Third International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2013), 2013, Sanya, China

Abstract

The cultivated land protection has become a leading concern influencing the actions of the Chinese government and people. This study introduces a method named as the weight of evidence (WOE) using natural and geographical location factors to evaluate the suitability of Jinan cultivated land. Evaluation results show that: (1) weight of evidence method as a pure data-driven approach is suitable for confirming each index’s weight in the cultivated land suitability evaluation, and the weights are objective and easy to be explained; (2) weight of evidence method uses raster data which are convenient for spatial analysis and does not need to unify the evaluation unit; (3)About 60.25% of land in Jinan has superior suitability as cultivated land. The technical ideas and methods proposed in this paper can provide support for taking a fresh look at land suitability evaluation and policy making. It will also help decision-makers optimize land allocation and make better land-use planning decisions.

Citation Download Citation

Li-na Lv and Xinqi Zheng "GIS-based weight of evidence modeling for cultivated land suitability mapping", Proc. SPIE 8762, PIAGENG 2013: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 876203 (19 March 2013); https://doi.org/10.1117/12.2019659

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