DOI: 10.57760/sciencedb.35513
title: 1985-2024 Yangtze River Economic Belt 1KM Resolution Land Use Data
title: 1985-2024年长江经济带1KM分辨率土地利用数据

description: This dataset uses Landsat remote sensing image data from the United States land satellite as the main information source. Through manual visual interpretation and machine learning methods, a remote sensing monitoring dataset of land use/land cover in the Yangtze River Economic Belt from 1985 to 2025 was established. According to the requirements of multi scenario applications, the dataset was processed to a resolution of 1 km. In the process of data preparation, the CNLUCC classification system proposed by Mr. Liu Jiyuan, Institute of Geographic Sciences and Resources, Chinese Academy of Sciences, was used. The data covered the land area of the Yangtze River Economic Belt, with annual temporal resolution and high spatial scale characteristics. Ultimately, multidimensional indicators such as overall accuracy, user accuracy, and producer accuracy were used for accuracy testing. The overall accuracy was stable, the data quality was reliable, and the results were trustworthy. The dataset can widely support scientific research and decision-making applications in the fields of spatial planning, ecological environment assessment, climate change response, agricultural resource management, and urban-rural development monitoring in the Yangtze River Economic Belt. It provides high-quality, long-term, and large-scale basic data support for revealing the spatiotemporal evolution mechanism of land use/land cover in the Yangtze River Economic Belt and evaluating the interaction effects of the human land system. It also provides important data references for academic research in related fields. 
description: This dataset uses Landsat remote sensing image data from the United States land satellite as the main information source. Through manual visual interpretation and machine learning methods, a remote sensing monitoring dataset of land use/land cover in the Yangtze River Economic Belt from 1985 to 2025 was established. According to the requirements of multi scenario applications, the dataset was processed to a resolution of 1 km. In the process of data preparation, the CNLUCC classification system proposed by Mr. Liu Jiyuan, Institute of Geographic Sciences and Resources, Chinese Academy of Sciences, was used. The data covered the land area of the Yangtze River Economic Belt, with annual temporal resolution and high spatial scale characteristics. Ultimately, multidimensional indicators such as overall accuracy, user accuracy, and producer accuracy were used for accuracy testing. The overall accuracy was stable, the data quality was reliable, and the results were trustworthy. The dataset can widely support scientific research and decision-making applications in the fields of spatial planning, ecological environment assessment, climate change response, agricultural resource management, and urban-rural development monitoring in the Yangtze River Economic Belt. It provides high-quality, long-term, and large-scale basic data support for revealing the spatiotemporal evolution mechanism of land use/land cover in the Yangtze River Economic Belt and evaluating the interaction effects of the human land system. It also provides important data references for academic research in related fields.