2026-10-12T04:45:01Z https://www.scidb.cn/oai

10.57760/sciencedb.IGA.001et 2026-09-15T13:23:44Z

2026-09-15 Northeastern Black Soil Region Corn Leaf Chlorophyll Content Dataset for the Entire Growth Cycle (10 m Resolution; 2023) doi:10.57760/sciencedb.iga.001et en This dataset contains high-precision spatial distribution data of leaf chlorophyll content (LCC) during four key maize growth stages in the Northeast Black Soil Region (covering the three northeastern provinces and the four eastern leagues of Inner Mongolia) for the year 2023. These four growth phases are scientifically defined based on Growing Degree Days (GDD): seedling stage (GDD 0–400), jointing stage (GDD 400–800), heading stage (GDD 800–1200), and maturity stage (GDD 1200–1600). The data are stored in Universal GeoTIFF format, with a spatial resolution of 10 m, a monthly time resolution, and are referenced in the WGS 84 spatial coordinate system. This dataset addresses the saturation effect observed in empirical models when applied to dense canopies; each growth stage has been independently validated using Hybrid-LOOCV, yielding outstanding inversion accuracy: Seedling stage: R² = 0.89, RMSE = 2.94 μg/cm², nRMSE = 6.7%, RPD = 3.03; Jointing stage: R² = 0.88, RMSE = 7.49 μg/cm², nRMSE = 15.8%, RPD = 2.85; Tasseling stage: R² = 0.90, RMSE = 2.55 μg/cm², nRMSE = 4.2%, RPD = 3.21; Maturity stage: R² = 0.85, RMSE = 2.70 μg/cm², nRMSE = 4.9%, RPD = 2.59. The total dataset size is 22.5 GB. Remote sensing inversion; Crop leaf chlorophyll; Machine learning 李宣 PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank