Share Email Print
cover

Proceedings Paper

Research on agricultural ecology and environment analysis and modeling based on RS and GIS
Author(s): Wensheng Zhang; Hongfu Chen; Mingsheng Wang
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Analysis of agricultural ecology and environment is based on the data of agricultural resources, which are obtained by RS monitoring. The over-exploitation of farmlands will cause structural changes of the soil composition, and damage the planting environment and the agro-ecosystem. Through the research on the dynamic monitoring methods of multitemporal RS images and GIS technology, the crop growth status, crop acreage and other relevant information in agricultural production are extracted based on the monitor and analysis of the conditions of the fields and crop growth. The agro-ecological GIS platform is developed with the establishment of the agricultural resources management database, which manages spatial data, RS data and attribute data of agricultural resources. Using the RS, GIS analysis results, the reasons of agro-ecological destruction are analyzed and the evaluation methods are established. This paper puts forward the concept of utilization capacity of farmland, which describes farmland space for development and utilization that is influenced by the conditions of the land, water resources, climate, pesticides and chemical fertilizers and many other agricultural production factors. Assessment model of agricultural land use capacity is constructed with the help of Fuzzy. Assessing the utilization capacity of farmland can be helpful to agricultural production and ecological protection of farmland. This paper describes the application of the capacity evaluation model with simulated data in two aspects, namely, in evaluating the status of farmland development and utilization and in optimal planting.

Paper Details

Date Published: 11 July 2009
PDF: 8 pages
Proc. SPIE 7491, PIAGENG 2009: Remote Sensing and Geoscience for Agricultural Engineering, 74910W (11 July 2009); doi: 10.1117/12.836765
Show Author Affiliations
Wensheng Zhang, Shijiazhuang Railway Institute (China)
Hongfu Chen, Shijiazhuang Railway Institute (China)
Mingsheng Wang, Shijiazhuang Railway Institute (China)


Published in SPIE Proceedings Vol. 7491:
PIAGENG 2009: Remote Sensing and Geoscience for Agricultural Engineering

© SPIE. Terms of Use
Back to Top