On the public citation graph

A Remote Sensing Analysis Method for Soil Heavy Metal Pollution Sources at Site Scale Considering Source-Sink Relationships

https://doi.org/10.2139/ssrn.4797248
0 signed · 61 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1002/ldr.2741openalex-extracted
Complexities Surrounding China's Soil Action Plan
inferredcites →https://doi.org/10.1002/ldr.4257openalex-extracted
Heavy metal(loid)s in farmland soils on the Karst Plateau, Southwest China: An integrated analysis of geochemical baselines, source apportionment, and associated health risk
inferredcites →https://doi.org/10.1007/s10661-023-11234-5openalex-extracted
Investigating heavy-metal soil contamination state on the rate of stomach cancer using remote sensing spectral features
inferredcites →https://doi.org/10.1007/s11270-023-06758-yopenalex-extracted
Effects of Soil, Water and Air Pollution with Heavy Metal Ions Around Lead and Zinc Mining and Processing Factories
inferredcites →https://doi.org/10.1007/s12524-015-0505-xopenalex-extracted
Mine Wastes Environmental Impact Mapping Using Landsat ETM+ and SPOT 5 Data Fusion in the North of Tunisia
inferredcites →https://doi.org/10.1007/s13762-018-1687-xopenalex-extracted
Dispersion of metal(loid)s in fluvial sediments: an example from the Linares mining district (southern Spain)
inferredcites →https://doi.org/10.1007/s13762-023-04950-5openalex-extracted
A review on sources identification of heavy metals in soil and remediation measures by phytoremediation-induced methods
inferredcites →https://doi.org/10.1016/j.catena.2019.104297openalex-extracted
Beyond mere pollution source identification: Determination of land covers emitting soil heavy metals by combining PCA/APCS, GeoDetector and GIS analysis
inferredcites →https://doi.org/10.1016/j.catena.2021.105222openalex-extracted
Hyperspectral inversion of soil heavy metals in Three-River Source Region based on random forest model
inferredcites →https://doi.org/10.1016/j.chemosphere.2015.04.008openalex-extracted
Source identification of eight heavy metals in grassland soils by multivariate analysis from the Baicheng–Songyuan area, Jilin Province, Northeast China
inferredcites →https://doi.org/10.1016/j.compag.2023.108455openalex-extracted
Retrieving decametric-resolution leaf chlorophyll content from GF-6 WFV by assessing the applicability of red-edge vegetation indices
inferredcites →https://doi.org/10.1016/j.ecolind.2021.108400openalex-extracted
Estimating chromium concentration in arable soil based on the optimal principal components by hyperspectral data
inferredcites →https://doi.org/10.1016/j.ecolind.2022.109330openalex-extracted
Estimating the heavy metal contents in farmland soil from hyperspectral images based on Stacked AdaBoost ensemble learning
inferredcites →https://doi.org/10.1016/j.envpol.2017.07.021openalex-extracted
Integrated GIS and multivariate statistical analysis for regional scale assessment of heavy metal soil contamination: A critical review
inferredcites →https://doi.org/10.1016/j.envpol.2018.02.070openalex-extracted
Source identification of heavy metals in peri-urban agricultural soils of southeast China: An integrated approach
inferredcites →https://doi.org/10.1016/j.envpol.2019.02.045openalex-extracted
Accumulation, ecological-health risks assessment, and source apportionment of heavy metals in paddy soils: A case study in Hanzhong, Shaanxi, China
inferredcites →https://doi.org/10.1016/j.envpol.2022.118981openalex-extracted
Retrieving soil heavy metals concentrations based on GaoFen-5 hyperspectral satellite image at an opencast coal mine, Inner Mongolia, China
inferredcites →https://doi.org/10.1016/j.envpol.2022.119486openalex-extracted
Geochemical partitioning and spatial distribution of heavy metals in soils contaminated by lead smelting
inferredcites →https://doi.org/10.1016/j.envpol.2023.121271openalex-extracted
An integrated approach for quantifying source apportionment and source-oriented health risk of heavy metals in soils near an old industrial area
inferredcites →https://doi.org/10.1016/j.gexplo.2014.01.010openalex-extracted
Contamination of soils with dust fallout from the tailings dam at the Rosh Pinah area, Namibia: Regional assessment, dust dispersion modeling and environmental consequences
inferredcites →https://doi.org/10.1016/j.gexplo.2020.106629openalex-extracted
Waste rocks and medieval slag as sources of environmental pollution in the area of the Pb-Zn Mine Rudnik (Serbia)
inferredcites →https://doi.org/10.1016/j.jag.2021.102420openalex-extracted
Predicting the abundance of copper in soil using reflectance spectroscopy and GF5 hyperspectral imagery
inferredcites →https://doi.org/10.1016/j.jag.2022.102702openalex-extracted
Exploring the potential of Chinese GF-6 images for crop mapping in regions with complex agricultural landscapes
inferredcites →https://doi.org/10.1016/j.jes.2022.01.029openalex-extracted
Soil heavy metal pollution from Pb/Zn smelting regions in China and the remediation potential of biomineralization
inferredcites →https://doi.org/10.1016/j.jes.2022.06.026openalex-extracted
A practical method for identifying key factors in the distribution and formation of heavy metal pollution at a smelting site
inferredcites →https://doi.org/10.1016/j.jhazmat.2020.123288openalex-extracted
Estimating the distribution trend of soil heavy metals in mining area from HyMap airborne hyperspectral imagery based on ensemble learning
inferredcites →https://doi.org/10.1016/j.jhazmat.2022.130294openalex-extracted
Metal(loid)-specific sources and distribution mechanisms of riverside soil contamination near an abandoned gold mine in Mongolia
inferredcites →https://doi.org/10.1016/j.jhazmat.2023.130722openalex-extracted
Coupled retrieval of heavy metal nickel concentration in agricultural soil from spaceborne hyperspectral imagery
inferredcites →https://doi.org/10.1016/j.jhazmat.2023.130910openalex-extracted
Source apportionment of heavy metals in the soil at the regional scale based on soil-forming processes
inferredcites →https://doi.org/10.1016/j.jhazmat.2023.131650openalex-extracted
High-resolution risk mapping of heavy metals in soil with an integrated static-dynamic interaction model: A case study in an industrial agglomeration area in China
inferredcites →https://doi.org/10.1016/j.psep.2022.08.061openalex-extracted
Heavy metal(loid)s in agricultural soils in the world’s largest barium-mining area: Pollution characteristics, source apportionment, and health risks using PMF model and Cd isotopes
inferredcites →https://doi.org/10.1016/j.rse.2004.06.017openalex-extracted
Toward intelligent training of supervised image classifications: directing training data acquisition for SVM classification
inferredcites →https://doi.org/10.1016/j.rse.2015.12.055openalex-extracted
Comparing Landsat water index methods for automated water classification in eastern Australia
inferredcites →https://doi.org/10.1016/j.saa.2018.12.032openalex-extracted
Hyperspectral inversion of heavy metal content in reclaimed soil from a mining wasteland based on different spectral transformation and modeling methods
inferredcites →https://doi.org/10.1016/j.scitotenv.2008.05.021openalex-extracted
Mercury mobilization in urban stormwater runoff
inferredcites →https://doi.org/10.1016/j.scitotenv.2018.03.227openalex-extracted
Source and path identification of metals pollution in a mining area by PMF and rare earth element patterns in road dust
inferredcites →https://doi.org/10.1016/j.scitotenv.2018.08.442openalex-extracted
Predicting cadmium concentration in soils using laboratory and field reflectance spectroscopy
inferredcites →https://doi.org/10.1016/j.scitotenv.2018.09.081openalex-extracted
Heavy metal contamination and health risk assessment for children near a large Cu-smelter in central China
inferredcites →https://doi.org/10.1016/j.scitotenv.2018.09.391openalex-extracted
Estimating lead and zinc concentrations in peri-urban agricultural soils through reflectance spectroscopy: Effects of fractional-order derivative and random forest
inferredcites →https://doi.org/10.1016/j.scitotenv.2019.134148openalex-extracted
Application of Simplicillium chinense for Cd and Pb biosorption and enhancing heavy metal phytoremediation of soils
inferredcites →https://doi.org/10.1016/j.scitotenv.2019.134890openalex-extracted
Multisource spectral-integrated estimation of cadmium concentrations in soil using a direct standardization and Spiking algorithm
inferredcites →https://doi.org/10.1016/j.scitotenv.2021.146557openalex-extracted
Spatial distribution, ecological risk and sources of heavy metals in soils from a typical economic development area, Southeastern China
inferredcites →https://doi.org/10.1016/j.scitotenv.2022.153759openalex-extracted
Identifying sources and transport routes of heavy metals in soil with different land uses around a smelting site by GIS based PCA and PMF
inferredcites →https://doi.org/10.1016/j.scitotenv.2022.159387openalex-extracted
RETRACTED: Mapping soil arsenic pollution at a brownfield site using satellite hyperspectral imagery and machine learning
inferredcites →https://doi.org/10.1016/j.scitotenv.2022.160065openalex-extracted
A hybrid framework for delineating the migration route of soil heavy metal pollution by heavy metal similarity calculation and machine learning method
inferredcites →https://doi.org/10.1016/j.scitotenv.2023.161610openalex-extracted
A novel methodological framework for risk zonation and source–sink response concerning heavy-metal contamination in agroecosystems
inferredcites →https://doi.org/10.1016/j.scitotenv.2023.167437openalex-extracted
Source-sink response analysis of heavy metals and soil pollution assessment in non-ferrous metal industrial agglomeration areas based on decision unit
inferredcites →https://doi.org/10.1021/acs.est.1c00460openalex-extracted
The Pedosphere as a Sink, Source, and Record of Anthropogenic and Natural Arsenic Atmospheric Deposition
inferredcites →https://doi.org/10.1021/es405083fopenalex-extracted
Analysis of Heavy Metal Sources in Soil Using Kriging Interpolation on Principal Components
inferredcites →https://doi.org/10.1021/es5047099openalex-extracted
Soil Contamination in China: Current Status and Mitigation Strategies
inferredcites →https://doi.org/10.1080/01431160701311317openalex-extracted
A method for the remote sensing identification of uncontrolled landfills: formulation and validation
inferredcites →https://doi.org/10.1080/01431161003727705openalex-extracted
Urban building damage detection from very high resolution imagery using OCSVM and spatial features
inferredcites →https://doi.org/10.1080/10106049.2022.2076921openalex-extracted
Spectral response feature bands extracted from near standard soil samples for estimating soil Pb in a mining area
inferredcites →https://doi.org/10.1080/17538947.2023.2234338openalex-extracted
A new method for the extraction of tailing ponds from very high-resolution remotely sensed images: PSVED
inferredcites →https://doi.org/10.1117/12.917717openalex-extracted
Using WorldView-2 Vis-NIR multispectral imagery to support land mapping and feature extraction using normalized difference index ratios
inferredcites →https://doi.org/10.3390/land10030231openalex-extracted
A Modified Bare Soil Index to Identify Bare Land Features during Agricultural Fallow-Period in Southeast Asia Using Landsat 8
inferredcites →https://doi.org/10.3390/rs11121464openalex-extracted
Estimation of Soil Heavy Metal Content Using Hyperspectral Data
inferredcites →https://doi.org/10.3390/rs13071277openalex-extracted
Satellite Imagery for Monitoring and Mapping Soil Chromium Pollution in a Mine Waste Dump
inferredcites →https://doi.org/10.3390/rs13142657openalex-extracted
A Near Standard Soil Samples Spectra Enhanced Modeling Strategy for Cd Concentration Prediction
inferredcites →https://doi.org/10.3390/rs14010103openalex-extracted
Improved Method to Detect the Tailings Ponds from Multispectral Remote Sensing Images Based on Faster R-CNN and Transfer Learning
inferredcites →https://doi.org/10.3390/rs6054173openalex-extracted
Water Feature Extraction and Change Detection Using Multitemporal Landsat Imagery
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.