2026-10-10T20:59:45Z https://www.scidb.cn/oai

10.57760/sciencedb.41208 2026-06-26T10:53:49Z

2026-06-26 FID-warning doi:10.57760/sciencedb.41208 en Data and code accompanying the manuscript "Integrating spatiotemporal prior knowledge from co-segmented time-series into factor-driven modeling for forest insect damage warning" (JAG). The archive contains the FID monitoring results and GEE scripts, and the Python code, driving-factor data, samples, and warning results for the factor-driven FID warning model over Chaoyang City, China, 2020–2023. See README.txt for folder structure. Forest insect damage; Hybrid warning approach; Spatiotemporal prior knowledge; co-segmentation; Satellite time series zhanghaoyan PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank