Prediction of Soil Organic Matter Content Under Moist Conditions Using VIS-NIR Diffuse Reflectance Spectroscopy
Author:
Publisher
Ovid Technologies (Wolters Kluwer Health)
Subject
Soil Science
Reference3 articles.
1. Quantitative remote sensing of soil properties, Adv.;Ben-Dor;Agron,2002
2. The prediction of C and N content and their potential mineralisation in heterogeneous soil samples using Vis-NIR spectroscopy and comparative methods.;Fystro;Plant Soil,2002
3. Effects of soil sample pretreatments and standardised rewetting as interacted with sand classes on Vis-NIR predictions of clay and soil organic carbon.;Stenberg;Geoderma,2010
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1. Prediction of the Soil Organic Matter (SOM) Content from Moist Soil Using Synchronous Two-Dimensional Correlation Spectroscopy (2D-COS) Analysis;Sensors;2020-08-26
2. Spectral Sensing from Ground to Space in Soil Science: State of the Art, Applications, Potential, and Perspectives;Remote Sensing Handbook - Three Volume Set;2018-10-03
3. Prediction of Soil Organic Matter by VIS–NIR Spectroscopy Using Normalized Soil Moisture Index as a Proxy of Soil Moisture;Remote Sensing;2017-12-24
4. Comparisons of spatial and non-spatial models for predicting soil carbon content based on visible and near-infrared spectral technology;Geoderma;2017-01
5. Improving the Prediction of Soil Organic Matter Using Visible and near Infrared Spectroscopy of Moist Samples;Journal of Near Infrared Spectroscopy;2016-01-01
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