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Geo-environmental suitability assessment for agricultural land in the rural-urban fringe using BPNN and GIS: a case study of Hangzhou

机译：基于BPNN和GIS的城乡边缘农用地地球环境适宜性评价-以杭州市为例。

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It is the hotspot issue of the land use and land cover change in assessing the suitability for agricultural land in the rural-urban fringe. This paper presents an integrated technique using back-propagation neural network (BPNN) and geographic information system (GIS) to assess suitability for agricultural land based on geo-environmental factors in the rural-urban fringe. Hangzhou was chosen for the case study. Four groups comprising ten separate sub-factors of geo-environmental attributes were selected as major factors affecting agricultural land. A back-propagation algorithm was used to calculate the weights by adjusting the number of hidden nodes and the learning rate. A suitability assessment model was established based on the above sub-factors with their corresponding weights, along with field survey data, BPNN, and GIS technology. According to this model, the geo-environmental suitability for agricultural land in the rural-urban fringe of Hangzhou was divided into four levels. The numerical evaluation results demonstrated that 52.95 % of areas in the rural-urban fringe in Hangzhou are suitable for agricultural land and that the current land use is appropriate. Furthermore, the results proved that applying BPNN and GIS is a very effective method for assessing the agricultural land suitability based on geo-environmental factors. The research results could provide support for agricultural land planning and management, to promote the sustainable use and protection of land resources in the rural-urban fringe in Hangzhou.
机译：在评估城乡边缘地区农业用地的适宜性时，这是土地使用和土地覆盖变化的热点问题。本文提出了一种基于反向传播神经网络（BPNN）和地理信息系统（GIS）的综合技术，用于基于城乡边缘地区的地理环境因素评估农业用地的适宜性。本案例研究选择了杭州。选择包括十个地理环境属性子因素的四类作为影响农业用地的主要因素。使用反向传播算法通过调整隐藏节点的数量和学习率来计算权重。基于上述子因素及其权重，结合实地调查数据，BPNN和GIS技术，建立了适宜性评价模型。根据该模型，将杭州市城郊边缘地区农业用地的地质环境适宜性分为四个层次。数值评估结果表明，杭州市城郊边缘地区有52.95％的土地适合耕作，目前的土地利用方式是合适的。此外，结果证明，应用BPNN和GIS是一种基于地理环境因素评估农业用地适宜性的非常有效的方法。研究成果可为农业土地的规划和管理提供支持，促进杭州市城乡结合部土地资源的可持续利用和保护。

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