Prediction Modeling and Mapping of Soil Carbon Content Using Artificial Neural Network, Hyperspectral Satellite Data and Field Spectroscopy

Journals Menu

Follow SCIRP

	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Advances in Remote Sensing

ISSN Print: 2169-267X
ISSN Online: 2169-2688
www.scirp.org/journal/ars
E-mail: ars@scirp.org

Google-based Impact Factor: 1.94
Citations

Journals Menu

"Prediction Modeling and Mapping of Soil Carbon Content Using Artificial Neural Network, Hyperspectral Satellite Data and Field Spectroscopy"
written by Sudheer Kumar Tiwari, Sudip Kumar Saha, Suresh Kumar,
published by Advances in Remote Sensing, Vol.4 No.1, 2015

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	Geoderma Regional
	2027

[2]	In‐field soil spectroscopy in Vis–NIR range for fast and reliable soil analysis: A review
	European Journal of …, 2024

[3]	Hine learning approaches in downstream lands of Azad dam (case study: Kurdistan province)
	Iranian Journal of Soil and Water …, 2024

[4]	Unravelling spatial drivers of topsoil total carbon variability in tropical paddy soils of Sri Lanka
	Geoderma …, 2024

[5]	An attention-driven nonlinear optimization method for CS-based hyperspectral image reconstruction
	Theoretical Computer Science, 2023

[6]	Use of hyperspectral remote sensing as advanced tools for study in soil characteristics: A review
	2023

[7]	Forecasting of soil-hydrological parameters with the help of artificial intelligence
	Bulletin Samara State …, 2023

[8]	Comparative analysis of machine and deep learning models for soil properties prediction from hyperspectral visual band
	Environments, 2023

[9]	Machine Learning-Driven Remote Sensing Applications for Agriculture in India—A Systematic Review
	Agronomy, 2023

[10]	Implication of land use shifting on land degradation and restoration potential of conservation agriculture in India's North-West Himalayan region
	Geoderma …, 2023

[11]	NetZeroCO2, an AI framework for accelerated nature-based carbon sequestration
	… Conference on Big …, 2022

[12]	Spectral Index for Mapping Topsoil Organic Matter Content Based on ZY1-02D Satellite Hyperspectral Data in Jiangsu Province, China
	ISPRS International Journal …, 2022

[13]	Dynamic Wildfire Fuel Mapping Using Sentinel–2 and Prisma Hyperspectral Imagery
	IGARSS 2022-2022 IEEE …, 2022

[14]	Hyperspectral response and monitoring study of soil moisture content based on the optimized spectral index
	Soil Science Society of America Journal, 2022

[15]	Исследование гумусированности почв в агрохронорядах с использованием наземных средств и данных дистанционного зондирования Земли
	Региональные геосистемы, 2022

[16]	РЕГИОНАЛЬНЫЕ ГЕОСИСТЕМЫ
	РЕГИОНАЛЬНЫЕ ГЕОСИСТЕМЫ Учредители …, 2022

[17]	Identifying opportunities to improve digital soil mapping in India: A systematic review
	Geoderma Regional, 2021

[18]	Possibility of Zhuhai-1 Hyperspectral Imagery for Monitoring Salinized Soil Moisture Content Using Fractional Order Differentially Optimized Spectral Indices
	2020

[19]	Comparative analysis of mineral mapping for hyperspectral and multispectral imagery
	2020

[20]	Estimating Mo, Cu, Ni, Cd Contents in the Crop Leaves Growing on Small Land Plots Using Satellite Data
	2020

[21]	Soil Organic Carbon Mapping Using Multispectral Remote Sensing Data: Prediction Ability of Data with Different Spatial and Spectral Resolutions
	2019

[22]	Mapping of Soil Organic Matter (SOM) using Hyperspectral Imaging and Non-imaging Data–A Review
	National Conference on Recent Innovation in Computer Science & Electronics, 2019

[23]	Simulating Spatial Variation of Soil Carbon Content in the Yellow River Delta: Comparative Analysis of Two Artificial Neural Network Models
	2019

[24]	Modern Trends and Problems of Soil Mapping
	2019

[25]	Estimation of soil properties from the EU spectral library using long short-term memory networks
	2019

[26]	Современные тренды и проблемы почвенной картографии
	2019

[27]	基于土壤变异解释力的几种土壤制图方法的对比研究——以南阳市 1m 土体土壤有机碳密度制图为例
	2018

[28]	Comparison vegetation indices and tasseled cap transformation for estimates of soil organic carbon using Landsat-8 OLI images in a semi-steppe rangelands
	2018

[29]	Estimation of Soil Organic Carbon in a Small-Scale Loessial Hillslope Using Terrain Derivatives of Northern Iran
	2018

[30]	变异系数降维的 CNN 高光谱遥感图像分类
	2018

[31]	Spatial distribution of soil carbon stocks in a semi-arid region of India
	Geoderma Regional, 2018

[32]	Application of Vis-NIR hyperspectral imaging in agricultural products detection
	2017

[33]	Assessment of Soil Degradation by Erosion Based on Analysis of Soil Properties Using Aerial Hyperspectral Images and Ancillary Data, Czech Republic
	Remote Sensing, 2017

[34]	Spatial Expansion and Soil Organic Carbon Storage Changes of Croplands in the Sanjiang Plain, China
	Sustainability, 2017

[35]	Predicting heavy metal concentrations in soils and plants using field spectrophotometry
	Proceedings Volume 10444, Fifth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2017), 2017

[36]	Comparing different statistical models for assessing Fe-contaminated soils based on VNIR/SWIR spectral data
	Environmental Earth Sciences, 2017

[37]	Modelos empíricos e mecanísticos aplicados ao mapeamento digital de atributos de solos
	2017

[38]	Usage of satellite data for soil mapping: Modern tendencies and problems
	SOVREMENNYE PROBLEMY DISTANTSIONNOGO ZONDIROVANIYA ZEMLI IZ KOSMOSA, 2016

[39]	Использование спутниковых данных для составления почвенных карт: современные тенденции и проблемы
	2016

[40]	MODELAMIENTO ESPACIAL PARA LA ESTIMACIÓN DE RESERVAS DE CARBONO ORGÁNICO DEL SUELO EN EL ALTIPLANO PUNO–MICROCUENCA …

[1]	Space-time mapping of soil organic carbon through remote sensing and machine learning Soil and Tillage Research, 2025 DOI:10.1016/j.still.2024.106428

[2]	Unravelling spatial drivers of topsoil total carbon variability in tropical paddy soils of Sri Lanka Geoderma Regional, 2024 DOI:10.1016/j.geodrs.2023.e00745

[3]	In‐field soil spectroscopy in Vis–NIR range for fast and reliable soil analysis: A review European Journal of Soil Science, 2024 DOI:10.1111/ejss.13481

[4]	In‐field soil spectroscopy in Vis–NIR range for fast and reliable soil analysis: A review European Journal of Soil Science, 2024 DOI:10.1111/ejss.13481

[5]	Soil Quality Assessment and Its Spatial Variability in an Intensively Cultivated Area in India Land, 2024 DOI:10.3390/land13070970

[6]	Implication of land use shifting on land degradation and restoration potential of conservation agriculture in India's North-West Himalayan region Geoderma Regional, 2023 DOI:10.1016/j.geodrs.2023.e00616

[7]	Implication of land use shifting on land degradation and restoration potential of conservation agriculture in India's North-West Himalayan region Geoderma Regional, 2023 DOI:10.1016/j.geodrs.2023.e00616

[8]	An attention-driven nonlinear optimization method for CS-based hyperspectral image reconstruction Theoretical Computer Science, 2023 DOI:10.1016/j.tcs.2023.113845

[9]	Comparative Analysis of Machine and Deep Learning Models for Soil Properties Prediction from Hyperspectral Visual Band Environments, 2023 DOI:10.3390/environments10050077

[10]	Implication of land use shifting on land degradation and restoration potential of conservation agriculture in India's North-West Himalayan region Geoderma Regional, 2023 DOI:10.1016/j.geodrs.2023.e00616

[11]	An attention-driven nonlinear optimization method for CS-based hyperspectral image reconstruction Theoretical Computer Science, 2023 DOI:10.1016/j.tcs.2023.113845

[12]	NetZeroCO2, an AI framework for accelerated nature-based carbon sequestration 2022 IEEE International Conference on Big Data (Big Data), 2022 DOI:10.1109/BigData55660.2022.10020359

[13]	Identifying opportunities to improve digital soil mapping in India: A systematic review Geoderma Regional, 2022 DOI:10.1016/j.geodrs.2021.e00478

[14]	Spectral Index for Mapping Topsoil Organic Matter Content Based on ZY1-02D Satellite Hyperspectral Data in Jiangsu Province, China ISPRS International Journal of Geo-Information, 2022 DOI:10.3390/ijgi11020111

[15]	Spectral Index for Mapping Topsoil Organic Matter Content Based on ZY1-02D Satellite Hyperspectral Data in Jiangsu Province, China ISPRS International Journal of Geo-Information, 2022 DOI:10.3390/ijgi11020111

[16]	Identifying opportunities to improve digital soil mapping in India: A systematic review Geoderma Regional, 2022 DOI:10.1016/j.geodrs.2021.e00478

[17]	Dynamic Wildfire Fuel Mapping Using Sentinel – 2 and Prisma Hyperspectral Imagery IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022 DOI:10.1109/IGARSS46834.2022.9883095

[18]	NetZeroCO2, an AI framework for accelerated nature-based carbon sequestration 2022 IEEE International Conference on Big Data (Big Data), 2022 DOI:10.1109/BigData55660.2022.10020359

[19]	Predicting Lead and Nickel Contamination in Soil using Spectroradiometer International Journal of Recent Technology and Engineering, 2021 DOI:10.35940/ijrte.A5758.0510121

[20]	Comparative analysis of mineral mapping for hyperspectral and multispectral imagery Arabian Journal of Geosciences, 2020 DOI:10.1007/s12517-020-5148-8

[21]	Estimating Mo, Cu, Ni, Cd Contents in the Crop Leaves Growing on Small Land Plots Using Satellite Data Communications in Soil Science and Plant Analysis, 2020 DOI:10.1080/00103624.2020.1784922

[22]	Possibility of Zhuhai-1 Hyperspectral Imagery for Monitoring Salinized Soil Moisture Content Using Fractional Order Differentially Optimized Spectral Indices Water, 2020 DOI:10.3390/w12123360

[23]	Possibility of Zhuhai-1 Hyperspectral Imagery for Monitoring Salinized Soil Moisture Content Using Fractional Order Differentially Optimized Spectral Indices Water, 2020 DOI:10.3390/w12123360

[24]	Soil Organic Carbon Mapping Using Multispectral Remote Sensing Data: Prediction Ability of Data with Different Spatial and Spectral Resolutions Remote Sensing, 2019 DOI:10.3390/rs11242947

[25]	Simulating Spatial Variation of Soil Carbon Content in the Yellow River Delta: Comparative Analysis of Two Artificial Neural Network Models Wetlands, 2019 DOI:10.1007/s13157-019-01170-x

[26]	Modern Trends and Problems of Soil Mapping Eurasian Soil Science, 2019 DOI:10.1134/S1064229319050107

[27]	Estimation of soil properties from the EU spectral library using long short-term memory networks Geoderma Regional, 2019 DOI:10.1016/j.geodrs.2019.e00233

[28]	Soil Organic Carbon Mapping Using Multispectral Remote Sensing Data: Prediction Ability of Data with Different Spatial and Spectral Resolutions Remote Sensing, 2019 DOI:10.3390/rs11242947

[29]	Spatial distribution of soil carbon stocks in a semi-arid region of India Geoderma Regional, 2018 DOI:10.1016/j.geodrs.2018.e00192

[30]	Assessment of Soil Degradation by Erosion Based on Analysis of Soil Properties Using Aerial Hyperspectral Images and Ancillary Data, Czech Republic Remote Sensing, 2017 DOI:10.3390/rs9010028

[31]	Spatial Expansion and Soil Organic Carbon Storage Changes of Croplands in the Sanjiang Plain, China Sustainability, 2017 DOI:10.3390/su9040563

[32]	Comparing different statistical models for assessing Fe-contaminated soils based on VNIR/SWIR spectral data Environmental Earth Sciences, 2017 DOI:10.1007/s12665-017-7058-y

[33]	Application of Vis-NIR hyperspectral imaging in agricultural products detection 2017 9th International Conference on Advanced Infocomm Technology (ICAIT), 2017 DOI:10.1109/ICAIT.2017.8388944

[34]	Predicting heavy metal concentrations in soils and plants using field spectrophotometry Fifth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2017), 2017 DOI:10.1117/12.2279184

[35]	Spatial Expansion and Soil Organic Carbon Storage Changes of Croplands in the Sanjiang Plain, China Sustainability, 2017 DOI:10.3390/su9040563

[36]	Assessment of Soil Degradation by Erosion Based on Analysis of Soil Properties Using Aerial Hyperspectral Images and Ancillary Data, Czech Republic Remote Sensing, 2017 DOI:10.3390/rs9010028

Follow SCIRP

	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Advances in Remote Sensing

Advances in Remote Sensing

Journals Menu

Home

About SCIRP

Service

Policies