Land use suitability evaluation based on GIS and matter-element model

Haiyue Fu; Manchun Li; Zhenjie Chen; Wei Hu

doi:10.1117/12.812987

3 November 2008 Land use suitability evaluation based on GIS and matter-element model

Haiyue Fu, Manchun Li, Zhenjie Chen, Wei Hu

Proceedings Volume 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments; 71450B (2008) https://doi.org/10.1117/12.812987
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

Abstract

The study uses matter-element model to carry out the theory and practice research of land use suitability evaluation. First, the study sets up the matter-element model for the land use suitability evaluation. The Evaluation steps are the following: (1) select the various factors sets of land use suitability evaluation. (2) Identify the sutra fields and controlled fields of various factors. (3) Make sure the actual value of assessment unit. (4) Calculate the relating degree. (5) Evaluate the suitability levels of land use types. Using the group AHP method, the weights of the evaluation units are decided. Using the overlay space analysis method, the value of various factors is made certain. Then, the paper takes Sanhe city of Hebei province as an example to make the empirical study supported by ArcGIS. There are 153 evaluation unit in Sanhe city. The study results show that: the matter-element model can overcome the impact of human factors in the process of land use suitability evaluation to improve the assessment accuracy and operability. The agriculture and construction suitability evaluation results reflect the actual situation in Sanhe City.

Citation Download Citation

Haiyue Fu, Manchun Li, Zhenjie Chen, and Wei Hu "Land use suitability evaluation based on GIS and matter-element model", Proc. SPIE 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments, 71450B (3 November 2008); https://doi.org/10.1117/12.812987

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