22.1.23 Soil Heavy Metal Contamination

Chapter Contents (Back)
Heavy Metals. Soil Properties.

Peng, Y.[Yi], Kheir, R.B.[Rania Bou], Adhikari, K.[Kabindra], Malinowski, R.[Radoslaw], Greve, M.B.[Mette B.], Knadel, M.[Maria], Greve, M.H.[Mogens H.],
Digital Mapping of Toxic Metals in Qatari Soils Using Remote Sensing and Ancillary Data,
RS(8), No. 12, 2016, pp. 1003.
DOI Link 1612

Zhou, G.X.[Gao-Xiang], Liu, X.[Xiangnan], Zhao, S.[Shuang], Liu, M.[Ming], Wu, L.[Ling],
Estimating FAPAR of Rice Growth Period Using Radiation Transfer Model Coupled with the WOFOST Model for Analyzing Heavy Metal Stress,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706

Zhang, B.Y.[Bi-Yao], Liu, X.N.[Xiang-Nan], Liu, M.[Meiling], Meng, Y.Y.[Yuan-Yuan],
Detection of Rice Phenological Variations under Heavy Metal Stress by Means of Blended Landsat and MODIS Image Time Series,
RS(11), No. 1, 2018, pp. xx-yy.
DOI Link 1901

Wang, F.[Fenghe], Gao, J.[Jay], Zha, Y.[Yong],
Hyperspectral sensing of heavy metals in soil and vegetation: Feasibility and challenges,
PandRS(136), 2018, pp. 73-84.
Elsevier DOI 1802
Heavy metal contamination, Hyperspectral sensing, Analytical modelling, Partial least squares regression, Vegetation indexing BibRef

Lim, J., Yu, J., Wang, L., Jeong, Y., Shin, J.H.,
Heavy Metal Contamination Index Using Spectral Variables for White Precipitates Induced by Acid Mine Drainage: A Case Study of Soro Creek, South Korea,
GeoRS(57), No. 7, July 2019, pp. 4870-4888.
Contamination, Pollution measurement, Iron, Sediments, Indexes, Minerals, Heavy metal contamination, mineral composition, white precipitate BibRef

Liu, Z.H.[Zhen-Hua], Lu, Y.[Ying], Peng, Y.P.[Yi-Ping], Zhao, L.[Li], Wang, G.X.[Guang-Xing], Hu, Y.M.[Yue-Ming],
Estimation of Soil Heavy Metal Content Using Hyperspectral Data,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907

Shin, H., Yu, J., Wang, L., Jeong, Y., Kim, J.,
Spectral Interference of Heavy Metal Contamination on Spectral Signals of Moisture Content for Heavy Metal Contaminated Soils,
GeoRS(58), No. 4, April 2020, pp. 2266-2275.
Soil, Moisture, Contamination, Pollution measurement, Zinc, Minerals, Heavy metal contaminated soil, moisture content, spectral interference BibRef

Taghizadeh-Mehrjardi, R.[Ruhollah], Fathizad, H.[Hassan], Ardakani, M.A.H.[Mohammad Ali Hakimzadeh], Sodaiezadeh, H.[Hamid], Kerry, R.[Ruth], Heung, B.[Brandon], Scholten, T.[Thomas],
Spatio-Temporal Analysis of Heavy Metals in Arid Soils at the Catchment Scale Using Digital Soil Assessment and a Random Forest Model,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105

Kim, H.[Hyesu], Yu, J.[Jaehyung], Wang, L.[Lei], Jeong, Y.[Yongsik], Kim, J.[Jieun],
Variations in Spectral Signals of Heavy Metal Contamination in Mine Soils Controlled by Mineral Assemblages,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010

Chen, G.Q.[Guo-Qing], Yang, Y.[Yong], Liu, X.[Xinyao], Wang, M.J.[Ming-Jiu],
Spatial Distribution Characteristics of Heavy Metals in Surface Soil of Xilinguole Coal Mining Area Based on Semivariogram,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link 2106

Chen, L., Tan, K.,
Estimation of Soil Heavy Metal Combining Fractional Order Derivative,
DOI Link 2012

Lee, M., Chen, X.Y., Lee, H.C.,
Spectral Preprocessing for Hyperspectral Remote Sensing of Heavy Metals In Water,
DOI Link 1912

Chen, X., Lee, H., Lee, M.,
Feasibility of Using Hyperspectral Remote Sensing for Environmental Heavy Metal Monitoring,
DOI Link 1904
water quality monitoring. BibRef

Wang, P., Huang, F., Liu, X.N.,
A Simple Interpretation Of The Rice Spectral Indices Space For Assessment Of Heavy Metal Stress,
ISPRS16(B7: 129-135).
DOI Link 1610

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Other Soil Properties, Remote Sensing .

Last update:Jun 9, 2021 at 21:04:26