Abstract: China is the world's largest producer and consumer of coal, with a long history of extraction. Many coal-producing regions have developed clusters of coal-related industries. With the rapid development of the coal related industry, land degradation and soil pollution caused by the expansion of coal related sites and the discharge of coal based solid waste have become increasingly severe. The proposal of identification and zoning control strategies for coal related site types is the key to achieving regional energy resources, low-carbon development, and ecological protection. The study takes the coal-related industrial area of Ningdong Coal Electricity Base as the object: Determine the information characteristics and deciphering identifiers of featured features in Ningdong Coal Electricity Base coal-related industrial area, and put forward the index system for extracting featured features at the regional scale and site scale, including coal sites, coal power sites, coal chemical sites, ect. At the regional scale, site type identification was conducted using Landsat remote sensing imagery. The analysis of land use dynamics and land use transition matrices was employed to examine the spatiotemporal evolution and differences in coal-related industrial areas. From 2003 to 2023, coal power sites emerged from non-existence, with coal mining sites increasing by 10.68% and coal chemical industry sites by 26.33%. The coal-electricity integration area in the Ningdong Coal Electricity Base coal-related industrial area exhibits a rapid expansion trend. At the site scale, pattern analysis was conducted using Sentinel-2 remote sensing imagery with a resolution of 10 meters for the year 2023. The analysis revealed that coal mining sites covered an area of 68.38 km², accounting for 6.88% of the total area, exhibiting a random spatial distribution. In contrast, coal chemical industry sites spanned 49.03 km², representing 4.93%, and demonstrated significant spatial aggregation. Coal power sites occupied 24.28 km², making up 2.44%, with a relatively concentrated spatial distribution. Used the DPSIR (Driving-Pressure-State-Impact-Response) model, a comprehensive ecological risk assessment was conducted for coal-related industrial areas. The average ecological risk index for these areas was 0.602, indicating a low level of risk, with a 65.66% reduction in risk from 2003 to 2023, reflecting a positive trend in ecological management. Five zoning control models were proposed: “dynamic restoration” modes for residential aggregation areas, ecological maintenance areas, production monitoring and early warning areas, damage restoration and reconstruction areas, and other regulatory areas. This research provides theoretical and methodological support, as well as foundational data, for the identification of characteristics in coal-electricity integration sites in the Ningdong Coal Electricity Base coal-related industrial zone, which is significant for the governance of coal-electricity integration sites and regional ecological restoration.