Soil moisture is a critical component of the soil-plant-atmosphere continuum(SPAC)in fruit trees.However,highprecision monitoring of orchard soil moisture at the regional scale still remains a challenge.This study pre...Soil moisture is a critical component of the soil-plant-atmosphere continuum(SPAC)in fruit trees.However,highprecision monitoring of orchard soil moisture at the regional scale still remains a challenge.This study presents a two-stage feature space model to estimate root zone soil moisture using UAV remote sensing data.The results indicate that the temperature-leaf area index(TLDI)is negatively correlated with soil water content.The upper triangular space performs highly effectively for deep soil moisture inversion,with R2 values ranging from 0.56 to 0.66,RMSE between 0.20 and 0.27,and RPD from 1.25 to 1.50.Conversely,the lower triangular space yields superior results for shallow soil moisture inversion,with R2 values between 0.67 and 0.82,RMSE from 0.15 to 0.19,and RPD between 1.67 and 2.09.The results suggest that the lower triangular space is optimal for shallow soil moisture inversion,while the upper triangular space is more suited for deep soil moisture inversion.This study presents a novel approach for estimating deep soil moisture in orchards,providing a theoretical basis for improving soil moisture management.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.52309050)Key R&D and Promotion Projects in Henan Province(Science and Technology Development)(Grant No.232102110264)+2 种基金Key Scientific Research Projects of Colleges and Universities in Henan Province(Grant No.24B416001)Youth Backbone Teacher Project of Henan University of Science and Technology(Grants No.13450013 and 13450010)Sichuan Province Science and Technology Support Projects(Grants No.2023YFQ0025,2024YFHZ0217,2024ZHCG0101,2024YFHZ0200).
文摘Soil moisture is a critical component of the soil-plant-atmosphere continuum(SPAC)in fruit trees.However,highprecision monitoring of orchard soil moisture at the regional scale still remains a challenge.This study presents a two-stage feature space model to estimate root zone soil moisture using UAV remote sensing data.The results indicate that the temperature-leaf area index(TLDI)is negatively correlated with soil water content.The upper triangular space performs highly effectively for deep soil moisture inversion,with R2 values ranging from 0.56 to 0.66,RMSE between 0.20 and 0.27,and RPD from 1.25 to 1.50.Conversely,the lower triangular space yields superior results for shallow soil moisture inversion,with R2 values between 0.67 and 0.82,RMSE from 0.15 to 0.19,and RPD between 1.67 and 2.09.The results suggest that the lower triangular space is optimal for shallow soil moisture inversion,while the upper triangular space is more suited for deep soil moisture inversion.This study presents a novel approach for estimating deep soil moisture in orchards,providing a theoretical basis for improving soil moisture management.
