Updated Evaluation and Analysis of Farmland Classification in Qilihe District of Lanzhou
FU Tian-xin1,2, YAN Hao-wen1, LUO Cheng-feng2, SHA Yu-kun2,3, QIAO Zhan-ming1,2
1. School of Mathematics, Physic and Software Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China; 2. Chinese Academy of Surveying & Mapping, Beijing 100830, China; 3. School of Information Science and Engineering, Shandong Agricultural University, Taian 271018, China
Abstract：This paper used high-resolution images such as QuickBird and WorldView to interpret agricultural map spots of Qilihe,and took the spots as the study objects. According to the actual situation of Qilihe,the authors combined the Delphi method with experts’ opinions to determine seven evaluation factors such as the terrain slope,effective soil depth,soil PH value and the irrigation assurance rate for agricultural land updated classification. Detailed spot investigation method and calculation model in farmland classification procedures were used to amend and update the Qilihe agricultural spot. The results show that the quality of the natural agricultural land tends to decline, the agricultural land use has no significant changes, the agricultural input and output levels somewhat decrease, and the agricultural lands of various classes show certain spatial distribution regularity.
付天新, 闫浩文, 骆成凤, 沙玉坤, 乔占明. 兰州市七里河区农用地分等更新评价与分析[J]. 国土资源遥感, 2012, 24(3): 140-145.
FU Tian-xin, YAN Hao-wen, LUO Cheng-feng, SHA Yu-kun, QIAO Zhan-ming. Updated Evaluation and Analysis of Farmland Classification in Qilihe District of Lanzhou. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(3): 140-145.
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2012, Vol. 24 
