SOIL MOISTURE PREDICTION WITH MULTISPECTRAL VISIBLE AND NIR REMOTE SENSING

9 citations as recorded by crossref.

1. Relationships between Soil Moisture and Visible–NIR Soil Reflectance: A Review Presenting New Analyses and Data to Fill the Gaps S. McGuirk & I. Cairns
2. Recognizing and reducing effects of moisture-salt coexistence on soil organic matter spectral prediction：From laboratory to satellite D. Wang et al.
3. Analysis of Hotspots and Trends in Soil Moisture Research since the 21st Century Y. Cai et al.
4. Prediction of soil moisture content using genetic algorithm-optimized backpropagation algorithm from spectral data J. Wang et al.
5. Effects of Sample Handling on Visible and Near-Infrared Soil Reflectance S. McGuirk et al.
6. Estimation of soil free Iron content using spectral reflectance and machine learning algorithms W. Ma et al.
7. Evaluating the impact of soil moisture variation on the performance of visible and near-infrared (Vis–NIR) spectroscopy for predicting soil organic carbon content A. Xie & W. Wu
8. UAV Monitoring Topsoil Moisture in an Alpine Meadow on the Qinghai–Tibet Plateau Y. Sang et al.
9. Review: Application and research progress of near infrared spectroscopy for multidimensional assessment of coffee beans T. Li et al.