Complement time-series UAV spectral data based on Ambrals kernel-driven model to monitor soil moisture content

• Published in: International journal of remote sensing Vol. 45; no. 13; pp. 4236 - 4254
• Main Authors: Xie, Pingliang, Zhang, Yuxin, Yang, Xiaofei, Ba, Yalan, Zhang, Zhitao, Yang, Ning, Huang, Jialiang, Cheng, Zhikai, Chen, Junying
• Format: Journal Article
• Language: English
• Published: London Taylor & Francis 02.07.2024; Taylor & Francis Ltd
• Subjects: Accuracy; Agricultural land; Ambrals kernel-driven model; Canopies; Canopy; complement; Corn; Irrigation; Irrigation systems; Moisture content; Plant cover; Reflectance; Remote sensing; Soil; Soil moisture; Soil moisture content; Soil surfaces; soil water; soil water content; solar zenith angle; spectral analysis; Time series; time series analysis; time-series UAV spectral data; UAV remote sensing; vegetation; Vegetation index; water content; Weather; Weather conditions; Zea mays

Continuous time-series spectral data are important for inversion of crop or soil information. UAV remote sensing is usually selected under clear and windless weather conditions, but it is not possible to have such weather every day, which results in the UAV not collecting continuous daily spectral i...