Rapid estimation of a soil–water retention curve using visible–near infrared spectroscopy-Reference-Cited by-同舟云学术

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Rapid estimation of a soil–water retention curve using visible–near infrared spectroscopy

Published:2021-12 Issue: Volume:603 Page:127195
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Pittaki−Chrysodonta Zampela,Hartemink Alfred E.,Huang Jingyi

Funder

UW-Madison

Office of the Vice Chancellor for Research and Graduate Education, University of Wisconsin-Madison

Wisconsin Alumni Research Foundation

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference63 articles.

1. Towards retrieving soil hydraulic properties by hyperspectral remote sensing;Babaeian;Vadose Zone J.,2015

2. A comparative study of multiple approaches for predicting the soil-water retention curve: hyperspectral information vs. basic soil properties;Babaeian;Soil Sci. Soc. Am. J.,2015

3. Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra;Barnes;Appl. Spectrosc.,1989

4. Infrared spectroscopic analyses on the nature of water in montmorillonite;Bishop;Clay Clay Miner.,1994

5. Prediction of soil available water-holding capacity from visible near-infrared reflectance spectra;Blaschek;Sci. Rep. UK,2019

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel laboratory method for the retrieval of the soil water retention curve from shortwave infrared reflectance;Journal of Hydrology;2023-11

2. Predictive models for the residual saturation zone of the soil–water characteristic curve;Journal of Soils and Sediments;2023-09-19

3. Prediction of meteorological drought and standardized precipitation index based on the random forest (RF), random tree (RT), and Gaussian process regression (GPR) models;Environmental Science and Pollution Research;2023-01-17

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