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Hyperspectral Analysis of Soil Nitrogen, Carbon, Carbonate, and Organic Matter Using Regression Trees

https://doi.org/10.3390/s120810639
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf02345144openalex-snapshot
Prognostic factors in the prediction of chronic wound healing by electrical stimulation
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Image processing software for imaging spectrometry data analysis
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Fundamentals of Soil Ecology
inferredcites →https://doi.org/10.1016/j.agee.2007.05.005openalex-snapshot
Unravelling the effects of soil and crop management on maize productivity in smallholder agricultural systems of western Kenya—An application of classification and regression tree analysis
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Real-time measurement of soil attributes using on-the-go near infrared reflectance spectroscopy
inferredcites →https://doi.org/10.1016/j.compag.2009.10.006openalex-snapshot
On-the-go VisNIR: Potential and limitations for mapping soil clay and organic carbon
inferredcites →https://doi.org/10.1016/j.geoderma.2011.09.018openalex-snapshot
Predictions of soil surface and topsoil organic carbon content through the use of laboratory and field spectroscopy in the Albany Thicket Biome of Eastern Cape Province of South Africa
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Mapping soil Pb stocks and availability in mainland France combining regression trees with robust geostatistics
inferredcites →https://doi.org/10.1016/j.rse.2011.02.004openalex-snapshot
Digitally mapping the information content of visible–near infrared spectra of surficial Australian soils
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A Biogeophysical Approach for Automated SWIR Unmixing of Soils and Vegetation
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Quantitative remote sensing of soil properties
inferredcites →https://doi.org/10.1038/nature04070openalex-snapshot
Determinants of woody cover in African savannas
inferredcites →https://doi.org/10.1071/sr02027openalex-snapshot
Artificial neural network analysis of laboratory and in situ spectra for the estimation of macronutrients in soils of Lop Buri (Thailand)
inferredcites →https://doi.org/10.1071/sr02137openalex-snapshot
Simultaneous estimation of several soil properties by ultra-violet, visible, and near-infrared reflectance spectroscopy
inferredcites →https://doi.org/10.1093/forestscience/57.1.11openalex-snapshot
Total Soil Carbon in the Coarse Fraction and at Depth
inferredcites →https://doi.org/10.1097/00010694-194111000-00009openalex-snapshot
Factors of Soil Formation
inferredcites →https://doi.org/10.1097/00010694-196502000-00002openalex-snapshot
THE K HORIZON
inferredcites →https://doi.org/10.1097/00010694-200202000-00003openalex-snapshot
NEAR-INFRARED REFLECTANCE SPECTROSCOPIC ANALYSIS OF SOIL C AND N
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USING REMOTE SENSING DATA TO EVALUATE SURFACE SOIL PROPERTIES IN ALABAMA ULTISOLS
inferredcites →https://doi.org/10.1111/j.1365-2389.2009.01178.xopenalex-snapshot
Assessment and monitoring of soil quality using near‐infrared reflectance spectroscopy (NIRS)
inferredcites →https://doi.org/10.1201/b17081openalex-snapshot
A Handbook of Statistical Analyses using R
inferredcites →https://doi.org/10.13031/2013.19990openalex-snapshot
RELATIONSHIP BETWEEN SOIL MOISTURE CONTENT AND SOIL SURFACE REFLECTANCE
inferredcites →https://doi.org/10.13031/2013.27674openalex-snapshot
Geographic Operating Range Evaluation of a NIR Soil Sensor
inferredcites →https://doi.org/10.1890/0012-9658(2000)081[3178:cartap]2.0.co;2openalex-snapshot
CLASSIFICATION AND REGRESSION TREES: A POWERFUL YET SIMPLE TECHNIQUE FOR ECOLOGICAL DATA ANALYSIS
inferredcites →https://doi.org/10.2136/sssaj1980.03615995004400060030xopenalex-snapshot
Reflectance Technique for Predicting Soil Organic Matter
inferredcites →https://doi.org/10.2136/sssaj2001.652480xopenalex-snapshot
Near‐Infrared Reflectance Spectroscopy–Principal Components Regression Analyses of Soil Properties
inferredcites →https://doi.org/10.2136/sssaj2002.9880openalex-snapshot
Development of Reflectance Spectral Libraries for Characterization of Soil Properties
inferredcites →https://doi.org/10.2136/sssaj2004.0612openalex-snapshot
Total Soil Nitrogen in the Coarse Fraction and at Depth
inferredcites →https://doi.org/10.2136/sssaj2006.0211openalex-snapshot
In Situ Characterization of Soil Clay Content with Visible Near‐Infrared Diffuse Reflectance Spectroscopy
inferredcites →https://doi.org/10.2307/211491openalex-snapshot
Factors of Soil Formation: A System of Quantitative Pedology
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USGS Digital Spectral Library splib06a
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Application of Remote-sensing Data and Decision-Tree Analysis to Mapping Salt-Affected Soils over Large Areas
inferredcites →https://doi.org/10.3390/rs2081998openalex-snapshot
Variation of Routine Soil Analysis When Compared with Hyperspectral Narrow Band Sensing Method
inferredcites →https://doi.org/10.3390/rs3081627openalex-snapshot
Soil Heat Flux Modeling Using Artificial Neural Networks and Multispectral Airborne Remote Sensing Imagery
inferredcites →https://doi.org/10.3390/s110100573openalex-snapshot
Soil pH Mapping with an On-The-Go Sensor
inferredcites →https://doi.org/10.3390/s7102115openalex-snapshot
Modeling Forest Productivity Using Envisat MERIS Data
inferredcites →https://doi.org/10.5860/choice.27-2701openalex-snapshot
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Use of Spectral Reflectance for Sensitive Waveband Determination for Soil Contents
inferred← citeshttps://doi.org/10.1007/s10661-016-5107-8openalex-snapshot
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Topography-soil relationships in a hilly evergreen broadleaf forest in subtropical China
inferred← citeshttps://doi.org/10.1007/s11368-020-02668-2openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.bios.2018.06.045openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.catena.2017.07.014openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.catena.2018.01.028openalex-snapshot
Photography measured-value magnification improves local correlation maximization-complementary superiority method of hyperspectral analysis of soil total nitrogen
inferred← citeshttps://doi.org/10.1016/j.catena.2023.106928openalex-snapshot
Rapid assessment of soil carbon and nutrients following application of organic amendments
inferred← citeshttps://doi.org/10.1016/j.compag.2022.107307openalex-snapshot
Study on hyperspectral monitoring model of soil total nitrogen content based on fractional-order derivative
inferred← citeshttps://doi.org/10.1016/j.compag.2024.109377openalex-snapshot
Estimation of soil organic matter content by combining Zhuhai-1 hyperspectral and Sentinel-2A multispectral images
inferred← citeshttps://doi.org/10.1016/j.geoderma.2018.06.008openalex-snapshot
Laboratory-based hyperspectral image analysis for predicting soil carbon, nitrogen and their isotopic compositions
inferred← citeshttps://doi.org/10.1016/j.geodrs.2020.e00349openalex-snapshot
Application of VIS-NIR spectroscopy for estimation of soil organic carbon using different spectral preprocessing techniques and multivariate methods in the middle Indo-Gangetic plains of India
inferred← citeshttps://doi.org/10.1016/j.geodrs.2023.e00675openalex-snapshot
Evaluation of a miniaturized portable NIR spectrometer for the prediction of soil properties in Mediterranean central Chile
inferred← citeshttps://doi.org/10.1016/j.inpa.2021.06.005openalex-snapshot
Rapid detection of total nitrogen content in soil based on hyperspectral technology
inferred← citeshttps://doi.org/10.1016/j.rio.2023.100503openalex-snapshot
Mapping several soil types using hyperspectral datasets and advanced machine learning methods
inferred← citeshttps://doi.org/10.1016/j.rse.2026.115491openalex-snapshot
Assessing hyperspectral LiDAR capability for understory soil spectral retrieval and property estimation
inferred← citeshttps://doi.org/10.1017/s0376892913000428openalex-snapshot
Effects of different sampling scales and selection criteria on modelling net primary productivity of Indonesian tropical forests
inferred← citeshttps://doi.org/10.1080/00103624.2017.1298782openalex-snapshot
Will the Conventional Soil-Plant Analysis Pass into Oblivion? Rapid and Low-Cost Determination Using Spectroscopy
inferred← citeshttps://doi.org/10.1080/26395940.2019.1679041openalex-snapshot
Development of a predictive tool for rapid assessment of soil total nitrogen in wheat-corn double cropping system with hyperspectral data
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Hyperspectral imaging for skin assessment in systemic sclerosis: a pilot study
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inferred← citeshttps://doi.org/10.1117/1.jrs.14.034507openalex-snapshot
Hyperspectral estimation of soil composition contents based on kernel principal component analysis and machine learning model
inferred← citeshttps://doi.org/10.1134/s1062359023605463openalex-snapshot
Representation of the Properties of the Southern Taiga Forest Soils of the Central Forest Reserve by Remote Hyperspectral Measurements
inferred← citeshttps://doi.org/10.1186/s13717-018-0138-4openalex-snapshot
Determination of soil physicochemical attributes in farming sites through visible, near-infrared diffuse reflectance spectroscopy and PLSR modeling
inferred← citeshttps://doi.org/10.31857/s1026347023600887openalex-snapshot
Representation the Properties of the Central-Forest Reserve Southern Taiga Forest Soils in Remote Hyperspectral Measurements
inferred← citeshttps://doi.org/10.3390/agriculture15121313openalex-snapshot
Soil Organic Matter Content Prediction Using Multi-Input Convolutional Neural Network Based on Multi-Source Information Fusion
inferred← citeshttps://doi.org/10.3390/f15122138openalex-snapshot
Response of Topsoil Organic Carbon in the Forests of Northeast China Under Future Climate Scenarios
inferred← citeshttps://doi.org/10.3390/ijerph20042851openalex-snapshot
The Application of Hyperspectral Imaging to the Measurement of Pressure Injury Area
inferred← citeshttps://doi.org/10.3390/rs13234752openalex-snapshot
Soil Organic Carbon Content Prediction Using Soil-Reflected Spectra: A Comparison of Two Regression Methods
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Salt Content Distribution and Paleoclimatic Significance of the Lop Nur “Ear” Feature: Results from Analysis of EO-1 Hyperion Imagery
inferred← citeshttps://doi.org/10.3390/rs8020154openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s130505603openalex-snapshot
DRIFTS Sensor: Soil Carbon Validation at Large Scale (Pantelleria, Italy)
inferred← citeshttps://doi.org/10.3390/s130912132openalex-snapshot
Sensors in Agriculture and Forestry
inferred← citeshttps://doi.org/10.3390/s150817990openalex-snapshot
Hyperspectral Analysis of Soil Total Nitrogen in Subsided Land Using the Local Correlation Maximization-Complementary Superiority (LCMCS) Method
inferred← citeshttps://doi.org/10.3390/s16020152openalex-snapshot
Spectral Similarity Assessment Based on a Spectrum Reflectance-Absorption Index and Simplified Curve Patterns for Hyperspectral Remote Sensing
inferred← citeshttps://doi.org/10.3390/s16101718openalex-snapshot
Hierarchical Sparse Learning with Spectral-Spatial Information for Hyperspectral Imagery Denoising
inferred← citeshttps://doi.org/10.34294/j.jsta.21.11.70openalex-snapshot
Prediction of pH, organic carbon content and effective cation exchange capacity through optical characterization of agricultural soils by near infrared multispectral images
inferred← citeshttps://doi.org/10.53550/eec.2023.v29i01.031openalex-snapshot
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VIS-NIR-SWIR spectroscopy in soil evaluation along a toposequence in Piracicaba
inferred← citeshttps://doi.org/10.7780/kjrs.2014.30.1.6openalex-snapshot
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