Predicting Lead and Nickel Contamination in Soil using Spectroradiometer
نویسندگان
چکیده
In the geosciences, visible–near–short-wave infrared reflectance spectroscopy seems to have capability become a helpful technique for soil classification, mapping, and remote confirmation of characteristics mineral composition. Focus on improving spatial resolution maps in order better deal with localized problems like pollution. A variety physio-chemical properties were measured long-term spiked soils range lead nickel concentrations also their spectral between 400 2500 nm at three different locations agricultural region MIDC, Aurangabad, Maharashtra, India. Principle component analysis (PCA) used feature extraction partial least squares regression (PLSR) method is classification. To amount sample, thirteen features samples are calculated. The main aim this study was use statistical methods calculate soil, as well assess efficiency VNIR-SWIR heavy metal estimation using ASD FieldSpec4 Spectroradiometer. R2 = 0.96 provides best precision content 0.95 according findings. Lead RMSEs 3.396 2.680, respectively. outcomes show that proposed capable accurately forecasting concentrations.
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ژورنال
عنوان ژورنال: International journal of recent technology and engineering
سال: 2021
ISSN: ['2277-3878']
DOI: https://doi.org/10.35940/ijrte.a5758.0510121