🛰 Satellite(s)Landsat, Sentinel-2, MODIS, Hyperspectral. | 📊 Monitoring elementSoil reflectance. | ||||
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🧰 Description techniqueSoil contamination is difficult to detect through remote sensing, which is by definition indirect. To date there have been limited applications of spaceborne sensors to soil contamination and monitoring due to a lack of appropriate sensors, though future hyperspectral systems are potentially applicable to this topic (Gholizadeh et al, 2018). | 📏 Accuracy / ResolutionVariable spatial and temporal resolution according to sensors. | ||||
🗺 Case studyArellano et al (2015) used the Hyperion hyperspectral sensor to detect hydrocarbon soil contamination via mapping vegetative stress. This process demonstrated that hyperspectral imagery could detect spectral response related to a reduction in chlorophyll content resulting from soil contamination. | |||||
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Publication references📚 Gholizadeh, A., Saberioon, M., Ben-Dor, E. and Borůvka, L., 2018. Monitoring of selected soil contaminants using proximal and remote sensing techniques: Background, state-of-the-art and future perspectives. Critical Reviews in Environmental Science and Technology, 48(3), pp.243-278. 📚 Gholizadeh, A. and Kopačková, V., 2019. Detecting vegetation stress as a soil contamination proxy: a review of optical proximal and remote sensing techniques. International Journal of Environmental Science and Technology, 16(5), pp.2511-2524. 📚 Arellano, P., Tansey, K., Balzter, H. and Boyd, D.S., 2015. Detecting the effects of hydrocarbon pollution in the Amazon forest using hyperspectral satellite images. Environmental Pollution, 205, pp.225-239. 🔗 https://www.sciencedirect.com/science/article/pii/S0269749115002754 |
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