Title :
Comprehensive suitability evaluation of alfalfa cultivation using GIS and RS: A case study in Duolun, China
Author :
Fei Deng ; Xiaobing Li ; Hong Wang ; Guoqing Li ; Meng Zhang
Author_Institution :
State Key Lab. of Earth Surface Processes & Resource Ecology, Beijing Normal Univ., Beijing, China
Abstract :
Alfalfa is one of the most valuable forage crops in north China. To select the most suitable area of alfalfa cultivation in Duolun County, China, we used multi-source data which include sensing data, meteorological data, soil data, DEM and modified a fuzzy function to make it suit alfalfa. Eleven important factors which impact the growing of alfalfa were selected to assess the suitability. The analytic hierarchy process (AHP) was employed to obtain the weight of each factor, and the multiple criteria decision making method was used to get the finally suitability score of each evaluation unit in arcgis9.3. Combining with the guide line of the land suitability evaluation of FAO, the land unit was evaluated as highly suitable, moderately suitable, marginally suitable and unsuitable.
Keywords :
analytic hierarchy process; crops; digital elevation models; geographic information systems; geophysical techniques; geophysics computing; meteorology; remote sensing; soil; vegetation mapping; AHP; DEM; Duolun case study; Duolun county; FAO land suitability evaluation guide line; GIS; RS; alfalfa cultivation comprehensive suitability evaluation; alfalfa cultivation suitable area; alfalfa growing; analytic hierarchy process; arcgis9.3; data sensing; evaluation unit; factor weight; finally suitability score; highly suitable unit; land unit evaluation; marginally suitable unit; meteorological data; moderately suitable unit; modified fuzzy function; multiple criteria decision making method; multisource data; north China; soil data; unsuitable unit; valuable forage crops; Agriculture; Analytical models; Biological system modeling; Data models; Geographic information systems; Soil; Temperature; Alfalfa; Duolun; Fuzzy; Suitability;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6721273
