Estimating leaf mercury content in Phragmites australis based on leaf hyperspectral reflectance

References

• Angot, H., N. Hoffman, A. Giang, C. P. Thackray, A. N. Hendricks, N. R. Urban, and N. E. Selin. 2018. “Global and Local Impacts of Delayed Mercury Mitigation Efforts.” Environmental Science & Technology 52: 12968–11. doi:10.1021/acs.est.8b04542.
   Web of Science ®Google Scholar
• Bachand, P. A. M., S. M. Bachand, J. A. Fleck, C. N. Alpers, M. Stephenson, and L. Windham-Myers. 2014. “Methylmercury Production in and Export from Agricultural Wetlands in California, USA: The Need to Account for Physical Transport Processes into and Out of the Root Zone.” Science of the Total Environment 472: 957–970. doi:10.1016/j.scitotenv.2013.11.086.
   PubMed Web of Science ®Google Scholar
• Cheng, T., B. Rivard, G. A. Sánchezazofeifa, J. Feng, M. Calvo-Polanco. 2010. “Continuous Wavelet Analysis for the Detection of Green Attack Damage Due to Mountain Pine Beetle Infestation.” Remote Sensing of Environment 114 (4): 899–910. DOI:10.1016/j.rse.2009.12.005.
   Web of Science ®Google Scholar
• Chi, G. Y., N. Guo, and X. Chen. 2017. “Hyperspectral Remote Sensing Monitoring on Heavy Metal Contaminated Farmland.” Soils Crops 6: 243–250.
   Google Scholar
• Dunagan, S. C., M. S. Gilmore, and J. C. Varekamp. 2007. “Effects of Mercury on Visible/near-infrared Reflectance Spectra of Mustard Spinach Plants (Brassica Rapa P.).” Environmental Pollution 148: 301–311. doi:10.1016/j.envpol.2006.10.023.
   PubMed Web of Science ®Google Scholar
• Fang, S. H., Y. Le, and Q. Liang. 2015. “Retrieval of Chlorophyll Content Using Continuous Wavelet Analysis across a Range of Vegetation Species.” Geomatics and Information Science of Wuhan University 40 (3): 296–302. in Chinese.
   Google Scholar
• He, J. 2015. “Monitoring Model of Ecological and Physiological Parameters of Winter Wheat Based on Hyperspectral Reflectance at Different Growth Stages.” Doctor Thesis, Northwest A＆F University, Yangling. ( in Chinese).
   Google Scholar
• Herndon, J. M., and M. Whiteside. 2017. “Contamination of the Biosphere with Mercury: Another Potential Consequence of On-going Climate Manipulation Using Aerosolized Coal Fly Ash.” Journal of Geography, Environment and Earth Science International 13 (1): 1–11. JGEESI. 37308. doi:10.9734/JGEESI.
   Google Scholar
• Kupper, H., F. Kupper, and M. Spiller. 1996. “Environmental Relevance of Heavy Metal~substituted Chlorophylls Using the Example of Water Plants.” Journal of Experimental Botany 47 (295): 259–266. doi:10.1093/jxb/47.2.259.
   Web of Science ®Google Scholar
• Li, J. Y., and Y. C. Zhang. 2018. “Hyperspectral Prediction Model of Cadmium Content in Lettuce Leaves.” Agricultural Engineering 8 (3): 65–69. in Chinese.
   Google Scholar
• Li, M. 2018. “Hyperspectral Feature and Mercury Content Inversion of Reed Leaves under Mercury Pollution.” Master Thesis, Chinese Academy of Forestry, Beijing. ( in Chinese).
   Google Scholar
• Li, M. J, M. Y. Zhang, L. J. Cui, H. N. Wang, Z. L. Guo, W. Li, Y. Y. Wei, S. Yang, and S. Y. Long. 2018. “Inversion of Hg Content in Reed Leaves Based on Continuous Wavelet Transform and Random Forest.” Chinese Journal of Eco-Agriculture 26: 1730–1738.
   Google Scholar
• Li, Y. F., J. Wang, and N. Wang. 2013. “Distribution Characteristics and Risk Assessment of Mercury Pollution in the River Water and Sediment of the Songhua River Upstream Gold Mining Area.” Journal of Agro-Environment Science 32 (3): 622–628. in Chinese.
   Google Scholar
• Liang, D., Q. Y. Yang, W. J. Huang, D. L. Peng, J. L. Zhao, L. S. Huang, D. Y. Zhang, and X. Y. Song. 2015. “Estimation of Leaf Area Index Based on Wavelet Transforms and Support Vector Machine Regression in Winter Wheat.” Infrared and Laser Engineering 44 (1): 335–340. ( in Chinese).
   Google Scholar
• Liu, H., Z. N. Gong, and W. J. Zhao. 2014. “Estimating Total Nitrogen Content in Reclaimed Water Based on Hyperspectral Reflectance Information from Emergent Plants: A Case Study of Mencheng Lake Wetland Park in Beijing, China.” Chinese Journal of Applied Ecology 25 (12): 3609–3618. in Chinese.
   Google Scholar
• Liu, Y., H. Chen, G. Wu, and X. Wu. 2010. “Feasibility of Estimating Heavy Metal Concentrations in Phragmites Australis Using Laboratory-based Hyperspectral data—A Case Study along Le’an River, China.” International Journal of Applied Earth Observation and Geoinformation 12: S166–S170. doi:10.1016/j.jag.2010.01.003.
   Web of Science ®Google Scholar
• Maruthi Sridhar, B. B., F. X. Han, S. V. Diehl, D. L. Monts, and Y. Su. 2007. “Spectral Reflectance and Leaf Internal Structure Changes of Barley Plants Due to Phytoextraction of Zinc and Cadmium.” International Journal of Remote Sensing 28 (5): 1041–1054. doi:10.1080/01431160500075832.
   Web of Science ®Google Scholar
• Qiao, X. Y., S. Y. Ma, H. F. Hou, and R. J. Hao. 2018. “Hyper-spectral Features of Heavy Metal Pollutants in Vegetables and Their Inversion Model in the Mining Areas.” Journal of Safety and Environment 18 (1): 335–341. in Chinese.
   Google Scholar
• Selin, N. E. 2018. “A Proposed Global Metric to Aid Mercury Pollution Policy.” Science 360: 607–609. doi:10.1126/science.aar8256.
   Web of Science ®Google Scholar
• Song, K. S., B. Zhang, Z. M. Wang, F. Li, and H. J. Liu. 2006. “Application of Wavelet Transformation in In-situ Measured Hyper Spectral Data for Soybean LAI Estimation.” Chinese Agricultural Science Bulletin 22 (9): 101–108. in Chinese.
   Google Scholar
• Song, K. S., B. Zhang, Z. M. Wang, D. W. Liu, and H. J. Liu. 2008. “Soybean Chlorophyll a Concentration Estimation Models Based on Wavelet-transformed, in Situ Collected, Canopy Hyperspectral Data.” Journal of Plant Ecology 32 (1): 152–160. in Chinese.
   Google Scholar
• Sysalová, J., J. Kučera, B. Drtinová, R. Červenka, O. Zvěřina, J. Komárek, and J. Kameník. 2017. “Mercury Species in Formerly Contaminated Soils and Released Soil Gases.” Science of the Total Environment 584–585: 1032–1039. doi:10.1016/j.scitotenv.2017.01.157.
   PubMed Web of Science ®Google Scholar
• United Nations Environment Programme (UNEP). 2019. “Global Mercury Assessment 2018”. Geneva, Switzerland: UN Environment Programme, Chemicals and Health Branch.
   Google Scholar
• Wang, F., J. Gao, and Y. Zha. 2018. “Hyperspectral Sensing of Heavy Metals in Soil and Vegetation: Feasibility and Challenges.” ISPRS Journal of Photogrammetry and Remote Sensing 136: 73–84. doi:10.1016/j.isprsjprs.2017.12.003.
   Web of Science ®Google Scholar
• Wang, H. 2019. “Hyperspectral Remote Sensing Based Models for Soil Moisture and Salinity Prediction: A Case Study from Sandy Loam Soil in Shahaoqu District of Hetao Irrigation Area.” Master Thesis, Northwest A & F University, Yangling. ( in Chinese). doi: 10.1536/ihj.60-5_Erratum
   Google Scholar
• Wang, N., and Y. M. Zhu. 2000. “The Survey on Non-point Source Pollution of Heavy Metals in Songhua River.” China Environmental Science 20 (5): 419–421. in Chinese.
   Google Scholar
• Wang, N., Y. M. Zhu, L. X. Sheng, and D. Meng. 2005. “Mercury Pollution of Chinese Rana Chensinensis in the Reaches of the Songhua River.” Chinese Science Bulletin 50 (15): 1589–1593. ( in Chinese). doi: 10.1007/BF03182666.
   Google Scholar
• Xu, Q. 2009. “Research on Spectral Characteristic of Remote Sensing Biogeochemical Effect of Typical Crop in the City-application on Corn in the Baotou City.” Doctor Thesis, Beijing Normal University, Beijing. ( in Chinese).
   Google Scholar
• Yang, J., Y. C. Tian, X. Yao, W. X. Cao, Y. S. Zhang, and Y. Zhu. 2009. “Hyperspectral Estimation Model for Chlorophyll Concentrations in Top Leaves of Rice.” Acta Ecologica Sinica 29 (12): 6561–6571. in Chinese.
   Google Scholar
• Yang, J., N. Wang, and Q. X. Cai. 2014. “Study of Chemical Speciation and Pollution Characteristics of Hg in Soils from Jiapigou Gold Mining Area.” Asian Journal of Ecotoxicology 9 (5): 924–932.
   Google Scholar
• Yu, L., Y. S. Hong, Y. Zhou, and Q. Zhu. 2016. “Inversion of Soil Organic Matter Content Using Hyperspectral Data Based on Continuous Wavelet Transformation.” Spectroscopy and Spectral Analysis 36 (5): 1428–1433. in Chinese.
   Web of Science ®Google Scholar
• Yuan, J., and Z. H. Ding. 2016. “Physiological Response of Aegiceras Corniculatum Leaves to Hg0 Stress.” Asian Journal of Ecotoxicology 11 (2): 216–222. in Chinese.
   Google Scholar
• Zhang, G., N. Wang, Y. Wang, T. C. Liu, and J. C. Ai. 2012. “Characteristics of Mercury Pollution in Soil and Atmosphere in Songhua River Upstream Jiapigou Gold Mining Area.” Environmental Science 33 (9): 2953–2959. ( in Chinese).
   Google Scholar
• Zhang, J. C., L. Yuan, R. L. Pu, R. W. Loraamm, G. J. Yang, and J. H. Wang. 2014. “Comparison between Wavelet Spectral Features and Conventional Spectral Features in Detecting Yellow Rust for Winter Wheat.” Computers & Electronics in Agriculture 100 (2): 79–87. DOI:10.1016/j.compag.2013.11.001.
   Google Scholar
• Zhang, L., S. Wang, L. Wang, Y. Wu, L. Duan, Q. Wu, F. Wang, et al. 2015. “Updated Emission Inventories for Speciated Atmospheric Mercury from Anthropogenic Sources in China.” Environmental Science and Technology 49 (5): 3185–3194. DOI:10.1021/es504840m.
   Web of Science ®Google Scholar
• Zhang, M. Y., M. J. Li, L. J. Cui, H. N. Wang, Z. L. Guo, W. G. Xu, Y. Y. Wei, S. Yang, and H. Y. Xiao. 2018. “Distribution Characteristics of Mercury in Reed Leaves from the Jiapigou Gold Mine in the Songhua River Upstream.” Environmental Science 39: 415–421.
   Google Scholar
• Zhou, Y. J. 2014. “Hyperspectral Remote Sensing Estimation Model of Heavy Metal Content in Wetland Plants Leaves.” Master Thesis, Fujian Normal University, Fuzhou. ( in Chinese).
   Google Scholar