Soil Contamination Mapping with Hyperspectral Imagery: Pre- Dnieper Chemical Plant (Ukraine) Case Study

Radioactive contamination of soils is an issue of severe importance for Ukraine remain- ing with a significant post-Soviet baggage of not settled problems regarding radioactive waste. Regular radioecological observations and up-to-date contamination mapping based on advanced geoinformation techniques give an ability to prepare for, respond to, and manage potential adverse effects from pollution with radionuclides and heavy metals. Hyperspectral satellite imagery provides potentially powerful tool for soil contamination detection and mapping. An intention to find a relation between remotely sensed hyper - spectral and ground-based measured soil contamination fractions in area of the uranium mill tailings deposits near Kamianske city was made. An advanced algorithm based on known TCMI (target-constrained minimal interference)-matched filter with a nonnega tive constraint was applied to determine the soil contamination fractions by hyperspectral imagery. The time series maps of spatial distribution of the soil contamination fractions within study area around the Sukhachevske tailings dump are presented. Time series analysis of the map resulted in two independent parameters: the average value for the entire observation period and the daily mean increment of the soil contamination fractions.

• Publication year

  2018

• Venue

  Hyperspectral Imaging in Agriculture, Food and Environment

• Publication date

  2018-08-01

• Fields of study

  Environmental Science

• Identifiers
  DOI 10.5772/INTECHOPEN.72601
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Radioactive Contamination of the Soil: Assessments of Pollutants Mobility with Implication to Remediation Strategies

  2016influential reference
• ARABLE LANDS DEGRADATION IN THE NORTHERN STEPPE ZONE OF UKRAINE

  2016cited by this paper
• Land Degradation and Desertification - a Global Crisis

  2016cited by this paper
• ENVIRONMENTAL ASSESSMENT OF ATMOSPHERIC POLLUTION IN DNIPROPETROVSK PROVINCE ( UKRAINE )

  2016cited by this paper
• Environmental Concerns of Deforestation in Myanmar 2001-2010

  2016cited by this paper
• Risk Assessment of Land Degradation Using Satellite Imagery and Geospatial Modelling in Ukraine

  2016cited by this paper
• Time Series Analyses in a New Era of Optical Satellite Data

  2015cited by this paper
• Adjusting Spectral Indices for Spectral Response Function Differences of Very High Spatial Resolution Sensors Simulated from Field Spectra

  2015cited by this paper
• Remote Sensing Time Series Revealing Land Surface Dynamics: Status Quo and the Pathway Ahead

  2015cited by this paper
• Remote Sensing: Advanced Techniques And Platforms

  2014cited by this paper
• Multispectral Satellite Imagery Classification Using a Fuzzy Decision Tree

  2014cited by this paper
• Quick atmospheric correction code: algorithm description and recent upgrades

  2012cited by this paper
• Classification of Pre-Filtered Multichannel Remote Sensing Images

  2012cited by this paper
• Environmental Security and Ecoterrorism

  2011cited by this paper
• Processing of Hyperspectral Imagery for Contamination Detection in Urban Areas

  2011cited by this paper
• EVALUATION OF DIFFERENT ATMOSPHERIC CORRECTION ALGORITHMS FOR EO-1 HYPERION IMAGERY

  2010cited by this paper
• Remediation of contaminated environments

  2009influential reference
• Detecting trend and seasonal 1 changes in satellite image time series 2

  2009cited by this paper
• Introduction to Time Series Analysis and Forecasting

  2008cited by this paper
• Remote Sensing Sensors and Applications in Environmental Resources Mapping and Modelling

  2007cited by this paper
• A novel approach for spectral unmixing, classification, and concentration estimation of chemical and biological agents

  2006cited by this paper
• Elements of Information Theory

  2005cited by this paper
• Erosion effects in the central steppe chernozem soils of Ukraine. I. soil properties.

  2004influential reference
• Stochastic spectral unmixing with enhanced endmember class separation.

  2004cited by this paper
• Hyperion, a space-based imaging spectrometer

  2003cited by this paper
• Foreword to the earth observing 1 special issue

  2003cited by this paper
• Hyperspectral Imaging

  2003cited by this paper
• Overview of the Earth Observing One (EO-1) Mission

  2002cited by this paper
• Spectral Mixture Analysis: Linear and Semi-parametric Full and Iterated Partial Unmixing in Multi- and Hyperspectral Image Data

  2001cited by this paper
• Mapping the distribution of mine tailings in the Coeur d'Alene River Valley, Idaho, through the use of a constrained energy minimization technique

  1997cited by this paper
• Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach

  1994cited by this paper
• Introduction to Statistical Pattern Recognition

  1972cited by this paper

• Potential of satellite hyperspectral imaging technology in soil health analysis: A step towards environmental sustainability

  2025cites this paper
• Some aspects of environmental hazard due to uranium mining in Ukraine

  2021cites this paper
• Task-Oriented Selection of Remote Sensing Satellite System under Target Recognition Probability Constraint

  2020cites this paper
• Advanced Method for Small-Size Targets Detection in Hyperspectral Image

  2018cites this paper