Using Visible-Near Infrared Spectroscopy to Predict Soil Properties of Mugan Plain, Azerbaijan

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Open Journal of Soil Science

ISSN Print: 2162-5360
ISSN Online: 2162-5379
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"Using Visible-Near Infrared Spectroscopy to Predict Soil Properties of Mugan Plain, Azerbaijan"
written by Fikrat Feyziyev, Maharram Babayev, Simone Priori, Giovanni L’Abate,
published by Open Journal of Soil Science, Vol.6 No.3, 2016

has been cited by the following article(s):

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[3]	Determination of Mehlich 3 Extractable Elements with Visible and Near Infrared Spectroscopy in a Mountainous Agricultural Land, the Caucasus Mountains
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[6]	Use of soil spectral reflectance to estimate texture and fertility affected by land management practices in Ethiopian tropical highland
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[9]	Unsupervised learning of satellite images enhances discovery of late Miocene fossil sites in the Urema Rift, Gorongosa, Mozambique
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[10]	Organic Carbon and Total Iron Effect on Soil Vis-SWNIR Spectraand Quantification of Their Contents Using PLS R Models
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[11]	Minimum Variance based-Bayes Combination for Prediction of soil properties on Vis-NIR Reflectance Spectroscopy
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[12]	Effect of fertilizers on soil properties for different crops in pre-monsoon season using spectroradiometer for raver tehsil of Jalgaon district
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[13]	Study on the Calibration Transfer of Soil Nutrient Concentration from the Hyperspectral Camera to the Normal Spectrometer
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[14]	Using a multivariate regression model and hyperspectral reflectance data to predict soil parameters of Agra, India
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[15]	A Studying the Possibility of Estimating Soil Organic Carbon of Soils Under PINUS BRUTIA and QUERCUS AEGILOPS L. Trees in Sarke-Duhok By Using ASD …
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[16]	Prediction Results of Different Modeling Methods in Soil Nutrient Concentrations Based on Spectral Technology
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[17]	Soil Properties Assessment in Surface and Subsurface Using Spectroradiometer for Raver Tehsil of Jalgaon District
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[18]	Comparison of Cation Exchange Capacity Estimated from Vis–NIR Spectral Reflectance Data and a Pedotransfer Function
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[19]	Visible‐Near‐Infrared Spectroscopy Prediction of Soil Characteristics as Affected by Soil‐Water Content
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[20]	Deriving and assessing spectrotransfer function and pedotransfer function in predicting soil cation exchange capacity
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[21]	In situ near-infrared spectroscopy for soil organic matter prediction in paddy soil, Pasak watershed, Thailand
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[22]	Visible and near infrared reflectance spectroscopy for field-scale assessment of Stagnosols properties
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[23]	Calibration Transfer of Soil Total Carbon and Total Nitrogen between Two Different Types of Soils Based on Visible-Near-Infrared Reflectance Spectroscopy
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[24]	Visible-Near-Infrared Spectroscopy Prediction of Soil Characteristics as Affected by Soil-Water Content
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[25]	Application of near-infrared reflectance for quantitative assessment of soil properties
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[26]	Hyperspectral Analysis of Soil Total Nitrogen using PLSR Method: A Review
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[27]	HYPERSPECTRAL ANALYSIS OF SOIL TOTAL NITROGEN USING ASD FILEDSPEC 4.
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[28]	Soil characterization via methods of functional data analysis
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[29]	INVESTIGATION OF MUGAN PLAINS NEEDING MELIORATION THROUGH REMOTE SENSING AND GIS TECHNOLOGY
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[30]	Deriving and assessing spectrotransfer function and pedotransfer function in predicting soil cation exchange capacity.
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[31]	Aplicaciones de Técnicas Espectroscópicas para el Análisis de Suelos.
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[32]	Effect of the Continuum Removal in Predicting Soil Organic Carbon with Near Infrared Spectroscopy (NIRS) in the Senegal Sahelian Soils
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[6]	Geospatial modeling and mapping of soil organic carbon and texture from spectroradiometric data in Nile basin Remote Sensing Applications: Society and Environment, 2023 DOI:10.1016/j.rsase.2022.100879

[7]	Geospatial modeling and mapping of soil organic carbon and texture from spectroradiometric data in Nile basin Remote Sensing Applications: Society and Environment, 2023 DOI:10.1016/j.rsase.2022.100879

[8]	Geospatial modeling and mapping of soil organic carbon and texture from spectroradiometric data in Nile basin Remote Sensing Applications: Society and Environment, 2023 DOI:10.1016/j.rsase.2022.100879

[9]	Developing spectrotransfer functions (STFs) to predict basic physical and chemical properties of calcareous soils Geoderma, 2022 DOI:10.1016/j.geoderma.2022.116174

[10]	Estimating soil chemical properties by diffuse reflectance spectroscopy: Promise versus reality European Journal of Soil Science, 2022 DOI:10.1111/ejss.13192

[11]	Determination of Mehlich 3 Extractable Elements with Visible and Near Infrared Spectroscopy in a Mountainous Agricultural Land, the Caucasus Mountains Land, 2022 DOI:10.3390/land11030363

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[13]	Use of soil spectral reflectance to estimate texture and fertility affected by land management practices in Ethiopian tropical highland PLOS ONE, 2022 DOI:10.1371/journal.pone.0270629

[14]	Developing spectrotransfer functions (STFs) to predict basic physical and chemical properties of calcareous soils Geoderma, 2022 DOI:10.1016/j.geoderma.2022.116174

[15]	Prediction and variability mapping of some physicochemical characteristics of calcareous topsoil in an arid region using Vis–SWNIR and NIR spectroscopy Scientific Reports, 2022 DOI:10.1038/s41598-022-12276-4

[16]	Spatial distribution of salinity and heavy metals in surface soils on the Mugan Plain, the Republic of Azerbaijan Environmental Monitoring and Assessment, 2021 DOI:10.1007/s10661-021-08877-7

[17]	Unsupervised learning of satellite images enhances discovery of late Miocene fossil sites in the Urema Rift, Gorongosa, Mozambique PeerJ, 2021 DOI:10.7717/peerj.11573

[18]	Study on the Calibration Transfer of Soil Nutrient Concentration from the Hyperspectral Camera to the Normal Spectrometer Journal of Spectroscopy, 2020 DOI:10.1155/2020/8137142

[19]	Organic Carbon and Total Iron Effect on Soil Vis-SWNIR Spectraand Quantification of Their Contents Using PLS R Models Communications in Soil Science and Plant Analysis, 2020 DOI:10.1080/00103624.2020.1751187

[20]	Minimum variance based-Bayes Combination for prediction of soil properties on Vis-NIR reflectance spectroscopy Chemometrics and Intelligent Laboratory Systems, 2020 DOI:10.1016/j.chemolab.2020.104194

[21]	Prediction Results of Different Modeling Methods in Soil Nutrient Concentrations Based on Spectral Technology Journal of Applied Spectroscopy, 2019 DOI:10.1007/s10812-019-00891-5

[22]	Soil Properties Assessment in Surface and Subsurface Using Spectroradiometer for Raver Tehsil of Jalgaon District SSRN Electronic Journal , 2019 DOI:10.2139/ssrn.3457199

[23]	Comparison of Cation Exchange Capacity Estimated from Vis–NIR Spectral Reflectance Data and a Pedotransfer Function Vadose Zone Journal, 2019 DOI:10.2136/vzj2018.10.0192

[24]	Comparison of Cation Exchange Capacity Estimated from Vis–NIR Spectral Reflectance Data and a Pedotransfer Function Vadose Zone Journal, 2019 DOI:10.2136/vzj2018.10.0192

[25]	Visible‐Near‐Infrared Spectroscopy Prediction of Soil Characteristics as Affected by Soil‐Water Content Soil Science Society of America Journal, 2018 DOI:10.2136/sssaj2018.01.0052

[26]	Visible and near infrared reflectance spectroscopy for field-scale assessment of Stagnosols properties Plant, Soil and Environment, 2018 DOI:10.17221/220/2018-PSE

[27]	In situ near-infrared spectroscopy for soil organic matter prediction in paddy soil, Pasak watershed, Thailand Plant, Soil and Environment, 2018 DOI:10.17221/716/2017-PSE

[28]	Visible and near infrared reflectance spectroscopy for field-scale assessment of Stagnosols properties Plant, Soil and Environment, 2018 DOI:10.17221/220/2018-PSE

[29]	In situ near-infrared spectroscopy for soil organic matter prediction in paddy soil, Pasak watershed, Thailand Plant, Soil and Environment, 2018 DOI:10.17221/716/2017-PSE

[30]	Calibration Transfer of Soil Total Carbon and Total Nitrogen between Two Different Types of Soils Based on Visible-Near-Infrared Reflectance Spectroscopy Journal of Spectroscopy, 2018 DOI:10.1155/2018/8513215

[31]	Visible-Near-Infrared Spectroscopy Prediction of Soil Characteristics as Affected by Soil-Water Content Soil Science Society of America Journal, 2018 DOI:10.2136/sssaj2018.01.0052

[32]	Visible and near infrared reflectance spectroscopy for field-scale assessment of Stagnosols properties Plant, Soil and Environment, 2018 DOI:10.17221/220/2018-PSE

[33]	In situ near-infrared spectroscopy for soil organic matter prediction in paddy soil, Pasak watershed, Thailand Plant, Soil and Environment, 2018 DOI:10.17221/716/2017-PSE

[34]	Application of near-infrared reflectance for quantitative assessment of soil properties The Egyptian Journal of Remote Sensing and Space Science, 2017 DOI:10.1016/j.ejrs.2017.02.001

[35]	Effect of the Continuum Removal in Predicting Soil Organic Carbon with Near Infrared Spectroscopy (NIRS) in the Senegal Sahelian Soils Open Journal of Soil Science, 2016 DOI:10.4236/ojss.2016.69014

[36]	Aplicaciones de técnicas espectroscópicas para el análisis de suelos Revista Facultad de Ciencias Básicas, 2016 DOI:10.18359/rfcb.2030

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