Complement time-series UAV spectral data based on Ambrals kernel-driven model to monitor soil moisture content-Reference-Cited by-同舟云学术

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

Published:2024-02-23 Issue:13 Volume:45 Page:4236-4254
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Xie Pingliang¹²,Zhang Yuxin¹²,Yang Xiaofei¹²,Ba Yalan¹²,Zhang Zhitao¹²,Yang Ning¹²,Huang Jialiang¹²,Cheng Zhikai¹²,Chen Junying¹²

Affiliation:

1. Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas of Ministry of Education, Northwest A & F University, Shaanxi, China

2. College of Water Resources and Architectural Engineering, Northwest A & F University, Shaanxi, China

Funder

the National Natural Science Foundation of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2024.2318754

Reference48 articles.

1. Analysis of Crash Severity of Texas Two Lane Rural Roads Using Solar Altitude Angle Based Lighting Condition

2. Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density

3. Estimation of soil moisture content under high maize canopy coverage from UAV multimodal data and machine learning

4. Estimating Forest Canopy Height Using MODIS BRDF Data Emphasizing Typical-Angle Reflectances

5. A comprehensive review on recent applications of unmanned aerial vehicle remote sensing with various sensors for high-throughput plant phenotyping

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