The spatial distribution data set of infrastructures such as traffic and water system in the areas of hambantota and Colombo (2016-2018) is obtained by extracting classification information from high-resolution remote sensing images. Based on the 1-2m remote sensing image data, the distribution information of road, water, coastline, and coastal facilities are extracted respectively. On this basis, the road, and other layers of OSM are superimposed with the extracted results and images. Through visual inspection, errors are found and the extracted results are corrected. Finally, the hambantota node area dataset is formed road, water system, coastline, and coastal facilities distribution layer of the region. This data set contains the data information of two key node regions of hambantota and Colombo.
Data overview: this set of data mainly includes the spatial distribution of major roads in the heihe river basin, the attributes include road classification and road coding, and the data base year is 2010. Data preparation process: this set of data is based on the topographic map, remote sensing image and the latest road traffic map updated by the transportation department of gansu province in 2009. Data description: there are two important attributes of the data, namely, road classification and road code. The road classification is divided into national road, provincial road, county road, township road and private road. The road code is defined in accordance with the highway grade code of the traffic department.
The data is a dataset of road distribution in Qinghai Lake basin, scale1: 250,000, projection: latitude and longitude, mainly including the spatial distribution and attribute data of main roads in Qinghai Lake basin, attribute fields: code (road code), name (road classification).