Combining Vis–NIR spectroscopy and advanced statistical analysis for estimation of soil chemical properties relevant for forest road construction-Reference-Cited by-同舟云学术

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Combining Vis–NIR spectroscopy and advanced statistical analysis for estimation of soil chemical properties relevant for forest road construction

Published:2021-05-21 Issue:4 Volume:85 Page:1073-1090
ISSN:0361-5995
Container-title:Soil Science Society of America Journal
language:en
Short-container-title:Soil Sci. Soc. Am. j.

Author:

Mousavi Fatemeh¹^ORCID,Abdi Ehsan¹,Knadel Maria²^ORCID,Tuller Markus³^ORCID,Ghalandarzadeh Abbas⁴,Bahrami Hossein Ali⁵,Majnounian Baris¹

Affiliation:

1. Dep. of Forestry and Forest Economics, Faculty of Natural Resources Univ. of Tehran Karaj Iran

2. Dep. of Agroecology Aarhus Univ. Tjele Denmark

3. Dep. of Environmental Science The Univ. of Arizona Tucson AZ 85721 USA

4. School of Civil Engineering, College of Engineering Univ. of Tehran Tehran Iran

5. Dep. of Soil Science, Faculty of Agriculture Univ. of Tarbiat Modares Tehran Iran

Publisher

Wiley

Subject

Soil Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/saj2.20253

Reference106 articles.

1. Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT

2. Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research

3. Regional predictions of soil organic carbon content from spectral reflectance measurements

4. Neural network models to predict cation exchange capacity in arid regions of Iran

5. Prediction and fuzzy synthetic optimization of process parameters in heavy clay brick production;Arsenović M.;Ceramics International,2013

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2. Spectral prediction of soil salinity and alkalinity indicators using visible, near-, and mid-infrared spectroscopy;Journal of Environmental Management;2023-11

3. Integration Vis-NIR Spectroscopy and Artificial Intelligence to Predict Some Soil Parameters in Arid Region: A Case Study of Wadi Elkobaneyya, South Egypt;Agronomy;2023-03-21

4. Proximal Soil Sensing of Low Salinity in Southern Xinjiang, China;Remote Sensing;2022-09-06

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