Analysis of Surveying and Mapping Method of Landownership and Environmental Resources Confirmation Based on GPS Technology.

Abstract

The establishment of the agricultural and forestry land management information system is predicated on the acquisition of spatial positioning data of agricultural and forestry land, i.e., the surveying and mapping of agricultural and forestry land. It also serves as the central component of the overall management information system. It is necessary to find solutions to the issues of large plot areas and far-reaching boundary lines in light of the current situation of land right confirmation. With its high efficiency, the use of GPS technology for land right confirmation can not only increase work productivity and speed up construction but also lower operating costs. The method of confirming landownership through surveying and mapping is studied in this paper using GPS technology. With respect to various land types, various classification methods have varying degrees of classification accuracy. This method is one of the three algorithms that classify green land, which includes grassland, cultivated land, and forest land; however, it does not clearly distinguish between forest land and grassland, with forest land having an average classification accuracy of 58.69 percent. The average accuracy of classifying forest land is 73.14 percent. The classification accuracy of forest land using this method is 88.45 percent, which is a relatively high percentage. It can be seen that this method is more accurate in identifying minute differences between ground objects. This is demonstrated by comparing the accuracy of forest land classification with that of other methods. A lot of surveying and mapping work has been done on the assumption that urban control networks have been established in many cities. The most ideal option is to combine GPS technology with high-precision photogrammetry.