An optimal allocation method of law enforcement monitoring based on the saptio-temporal evolution of land use

Law enforcement monitoring plays a significant role in preventing and forbidding illegal land use behavior, and provide an efficient method for promoting orderly use of land resources and arable land conservation. In order to optimize the efficiency of law enforcement monitoring, spatial analyzing techniques are adopted to calculate the dynamic change extent of land cover, comprehensive land use degree and landscape pattern index, which reflect the spatio-temporal evolution trend of land use. In this paper, differentiating monitoring district evaluation division index system is established, and Advanced AHP method is applied to calculate index weight and divide monitoring areas. At last, Jiangxia district of Wuhan was set as the research area, which is divided into fast changing area, changing area, changing likely area and slowly changing area. Based on current land enforcement techniques including remote sensing, mobile vehicle enforcement, remote video surveillance and UAV monitoring, individualized monitoring strategies are projected for optimal selection of enforcement monitoring techniques, and to help increase enforcement efficiency and offer innovation approaches for land resources monitoring.