DocumentCode
2916678
Title
Regional Land Suitability Assessment for Tree Crops Using Remote Sensing and GIS
Author
He, Yingbin ; Yao, Yanmin ; Chen, Youqi ; Ongaro, Luca
Author_Institution
Key Lab. of Resources Remote Sensing & Digital Agric. of the Chinese Minist. of Agric., Hulunber Grassland Ecosyst. Obs. & Res. Station, Beijing, China
fYear
2011
fDate
19-20 Feb. 2011
Firstpage
354
Lastpage
363
Abstract
Shouyang County which partly locates on the Loess Plateau suffers severe soil and water erosion and is characterized by ecological vulnerability and semi-arid climate. Land suitability evaluation for tree crops is very significant for agricultural production in the ecologically vulnerable regions of semi-arid zone. The authors applied a up scaling approach to carry outland suitability for the four local tree crops of apple, pear, jujube and hawthorn under the traditional cultivation senario. The up scaling was implemented in a land form hierarchy which was composed of land unit, land facet and land site at three spatial levels. The IAO land suitability evaluation model for crops was revised by appling a meteorological revision index. The results showed that a polarized phenomenon occurred, which means that the most suitable class (S1)and the most unsuitable class (N2) were predominant in acreage percentage for all the four tree crops in the study area. We proposed that cropland use policies should pay more attention to putting more investment for agricultural production in the suitable regions. It is necessary to balance the relationship between the livelihood of local farmers and environmental protection to maintain a healthy and stable ecosystem.
Keywords
agriculture; crops; ecology; geographic information systems; remote sensing; GIS; Loess Plateau; Shouyang County; agricultural production; apple; cultivation senario; ecological vulnerability; geographic information systems; hawthorn; jujube; land form hierarchy; land suitability evaluation; meteorological revision index; pear; regional land suitability assessment; remote sensing; tree crops; Computers; Decision support systems; Distributed control; Monitoring; Land suitability assessment; land unit; revision index; semi-arid; tree crops; upscaling;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM), 2011 International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-61284-278-3
Electronic_ISBN
978-0-7695-4350-5
Type
conf
DOI
10.1109/CDCIEM.2011.571
Filename
5747834
Link To Document