2026-10-14T13:24:53Z https://www.scidb.cn/oai

10.11922/sciencedb.j00001.00371 2023-06-30T17:10:12Z

2023-06-30 Multi-source and multi-temporal remote sensing data set of economic crop planting structure in Yangling Agricultural Demonstration Area doi:10.11922/sciencedb.j00001.00371 en This dataset takes Yangling Demonstration Area as the research area, and is mainly divided into remote sensing data and ground truth data. The remote sensing data consists of satellite data such as Sentinel-2, Gaofen-1 (including Gaofen-1C satellite), Gaofen-2 and Gaofen-6 from April to September 2021. After radiation correction, atmospheric correction, Remote sensing image processing such as orthorectification, image fusion, and image registration. Through on-the-spot investigation, visual interpretation of Google Earth, and near-ground remote sensing of UAVs in small areas, the ground truth distribution verification area is established. In terms of quality control, the remote sensing data has little overall cloud content, uniform color, and a spatial resolution of 2m; the ground truth map is drawn through field surveys and is authentic and reliable. The dataset is verified by random forest algorithm, and the overall classification accuracy is 86.17%. This dataset can provide training samples for the research and application of related algorithms in the acquisition of economic crop planting structure, and can also provide data support for land use classification and changes in Yangling Demonstration Area, and crop growth monitoring. Yangling Demonstration Area; economic crops; planting structure; multi-source and multi-temporal; remote sensing data GUO Jiao PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset http://www.doi.org/10.11922/11-6035.noda.2022.0002.zh Science Data Bank