基于被动微波遥感的城市土地生态承载力极限预警方法

现有的土地生态承载力极限预警方法对自然状态中的因素界定模糊,未能获取较高质量的预警指标数据,导致预警结果精度不高.为此,提出基于被动微波遥感的城市土地生态承载力极限预警方法.建立城市土地生态承载力极限预警指标,详细分析其中的自然状态指标,并计算土地生产潜力,再利用被动微波遥感技术完成土壤水分反演.在此基础上,结合熵权法,通过构建判断矩阵计算得到自然状态指标因素的权重,提高预警指标数据质量.然后根据社会状态与经济状态指标,采用灰色预警模型实现对城市土地生态承载力极限的预警.实验结果表明,该方法对土地生产潜力估计的准确率较高,土壤水分反演数据耗时远低于传统方法,权重计算结果绝对误差均值为5.5％,且承载力极限预警精度处于90％左右,证明该方法具有较强的应用优势.

Research on Limit Warning Method of Ecological Carrying Capacity of Urban Land Based on Passive Microwave Remote Sensing

The existing land ecological carrying capacity limit early warning method has a fuzzy definition of the factors in the natural state, and fails to obtain high quality early warning index data, resulting in low precision of early warning results. For this reason, a method based on passive microwave remote sensing is proposed to predict the limit of urban land ecological carrying capacity. The limit early-warning index of urban land ecological carrying capacity was established, the natural state index was analyzed in detail, and the land production potential was calculated. On this basis, the entropy weight method is combined to construct judgment matrix to calculate the weight of natural state index factors and improve the quality of early-warning index data. Then, according to the social and economic indicators, the gray warning model is adopted to realize the early warning of the ecological carrying capacity limit of urban land. The experimental results show that this method has a high accuracy rate of land production potential estimation, the time consumption of soil moisture inversion data is much lower than the traditional method, the mean absolute error of weight calculation results is 5.5%, and the bearing capacity limit warning precision is about 90%, which proves that this method has a strong application advantage.