Journal of Food, Agriculture and Environment




Vol 7, Issue 2,2009
Online ISSN: 1459-0263
Print ISSN: 1459-0255


Estimation of mountainous farmland area in China based on GIS and RS: A case study of Lincheng County


Author(s):

Limei Tan 1, 4, J. T. Liu 1*, Yuecun Ma 2*, H. T. Liu 1, 4, H. J. Liu 1, M. R. Laurenson 3

Recieved Date: 2009-01-09, Accepted Date: 2009-04-11

Abstract:

China is currently faced with a growing shortage of farmland. In 2006, there were only 0.095 hm2 of farmland per capita. Much of China is mountains, but few research papers focused on mountain farmland. At the same time, because of the complex topography and dispersed field blocks, it is hard to get the correct mountainous farmland area. In this paper, we use an effective method named RS to get the correct mountainous farmland area and location. The objective of this research was to find how many farmlands existing in mountainous area and compare our estimation with official statistics. We selected Lincheng County as studying area. The study involved GIS analysis with resolutions of 90 m SRTM DEM, 2.5 m panchromatic SPOT5 to identify farmland in the county. The accuracy of our classification was tested by visiting sampled sites and the classification was accurate in 90% of cases. The results showed considerable differences between estimation of farmland derived from image interpretation and those from official statistics. The mountainous farmland area based on image interpretation was 20,842 hm2. The differences were due to three reasons including the policy of conversion of farmland into forest, the difficulty in little field statistics and serious water erosion. After all, there is a large potential in exploiting the mountainous farmland to supply the food production. When calculating the grain production potential and human carrying capacity, the function of mountainous farmland in food production must be considered closely.

Keywords:

Mountainous farmland, Geographical Information System (GIS), Remote Sensing (RS)


Journal: Journal of Food, Agriculture and Environment
Year: 2009
Volume: 7
Issue: 2
Category: Environment
Pages: 769-772


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