2026-10-09T01:25:56Z https://www.scidb.cn/oai

10.57760/sciencedb.iga.01251 2026-09-18T15:19:18Z

2026-09-18 Remote sensing monitoring dataset of corn growth in the pear tree demonstration area doi:10.57760/sciencedb.iga.01251 en This dataset utilizes satellite remote sensing data to conduct remote sensing monitoring of maize growth conditions in the Lishu Demonstration Zone, achieving high temporal frequency, high spatial resolution, and intelligent monitoring, transmission, and aggregation of multi-source data. A remote sensing monitoring dataset for maize growth conditions in the Lishu Demonstration Zone has been constructed. The monitoring accuracy exceeds 80%, with a spatial resolution better than 10m. Regarding temporal coverage and monitoring frequency, this dataset comprehensively covers the entire crop growing seasons (May to October) for five consecutive years from 2021 to 2025, ensuring high-frequency UAV/satellite remote sensing imagery support for every growing month during this five-year period. remote sensing; monitoring; crop growth 杜嘉 PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank