Method and system of land cover verification considering POI data spatial heterogeneity

Abstract

The present invention discloses a method and system of land cover verification considering POI (Point of Interest) data spatial heterogeneity. The method comprises: obtaining a POI data set from a Sina Weibo open platform, performing overlapping o the urban area building data provided by an OSM (Open Street Map) and the POI data set, dividing POIs of an urban region and a non-urban region, and correcting a division result; classifying the determined urban region POI, and obtaining the POI classification result of the urban region; classifying different types of POIs of the non-urban region, and obtaining the POI classification result of the non-urban region; generating grid data according to the POI classification result, employing a majority voting algorithm to determine the land cover model of each grid, and generating a land cover classification result based on the POI; and employing a confusion matrix to obtain the verification precision of GlobeLand30 land cover data products based on the POI, and realizing the land cover precision verification considering POI spatial heterogeneity.

Description

technical field [0001] The invention relates to a land cover verification method and system taking into account the spatial heterogeneity of POI data. Background technique [0002] Land cover and its change are indispensable and important factors in environmental change research, geographical monitoring and sustainable development planning, and its accuracy verification is an important part of land cover mapping. At present, the verification of land cover classification accuracy at home and abroad is mainly carried out through visual interpretation of remote sensing images and field surveys. In order to reduce the cost of land cover verification and better meet the application needs of users for rapid daily verification, it is necessary to develop a new land cover verification method. [0003] In recent years, with the development and application of geographic spatiotemporal big data, surface coverage product sharing and verification platforms such as Geo-wiki, GlobeLand30,...

AI Technical Summary

Problems solved by technology

However, applying POI data to land cover verification still faces many challenges: on the one hand, some POI types such as "unknown classification", "tourist attractions" and "entertainment venues" cannot directly determine the type of land cover, and POI data needs to be Cleaning and classification; on the other hand, POIs are densely distributed in urban areas, but sparsely distributed in non-urban areas, with significant spatial heterogeneity distribution characteristics. In non-urban areas, it is difficult to represent large areas of land cover due to too few POIs. Unable to verify land cover

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