Abstract
The Liaohe Delta wetland is important in China for its abundant resources. In addition, the current situation of Panjin city wetland is significant for protecting and restoring the Liaohe wetland ecology. The suitability of Tiangong-2 remote sensing imagery and non-remote sensing data to coastal wetland monitoring was studied in this paper. Based on spectral features of various areas, a method of partition classification is proposed. Information about Panjin wetland resources, including four types of natural wetland and three types of artificial wetland was extracted by spectral analysis combining feature shape, patch area and texture characteristics, and classification accuracy was evaluated with Landsat data. The overall accuracy of the partition classification method reached 89.89%, and the kappa coefficient was 0.8748, The feasibility of remote sensing extraction of coastal wetland information in Panjin city based on Tiangong-2 data is validated. The research show that the wetland area is 3184.89 km2, of which the natural wetland area is 1129.98 km2, accounting for 40.53% of the total area; and the artificial wetland area is 1893.91 km2, accounting for 59.47% of the total area. Among these, paddy fields occupy the largest area, accounting for 55.29% of the total wetland area. In order of decreasing area, the others are reed swamps, mudflat wetlands, Suaeda salsa swamps, aquaculture farms, reservoirs/ponds, and river wetland.
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References
Liu, T., Liu X., Du J., Song K.: Pattern and change of Coastal Wetlands in the Liaohe river delta for 5 periods. Wetland Sci. 15(4), 622–628 (2017)
Wang, Yu., Li, Z., Jia, Q.: Soil Freeze-thaw characteristics of Phragmites Australis marshes in Panjin. Wetland Sci. 14(3), 295–301 (2016)
Tian, Q., Tian, H.: Study on historical process of the land subsidence in Panjin wetlands. Wetland Sci. 4(5), 607–610 (2016)
Liu, H.Y., Lu, X.G., Liu, Z.Q.: Study on wetland resources and regional sustainable development in Liaohe Delta. Sci. Geogr. Sin. 20(6), 545–551 (2000)
Huang, G., Zhang, J., Li, Y.: Classification and status analysis of Liaohe delta wetland. For. Resour. Manag. 4, 51–56 (2000)
Junling, W., Ying, M.: Analysis of remote sensing monitoring of wetland change in Panjin city. Ecol. Environ. 8, 67–69 (2009)
Guilin, H., Ping, H.: Study on wetland landscape evolution in Liaohe Delta–A case study of Panjin city. For. Resour. Manag. 3, 82–89 (2011)
Official website for data sharing and release of manned space applications. http://www.msadc.cn/rwjstgeh/. Accessed 8 Nov 2018
Official website for United States Geological Survey. http://glovis.usgs.gov/. Accessed 9 Nov 2018
State Forestry Bureau: National Technical Regulations for Wetland Resources Surve, pp. 3–4 (2008)
Mingxiang, N., Gengxing, Z., Zunying, L.: Extracting of remote sensing information of wetland in Nansihu area based on multi-subarea and multi-layer techniques. Geogr. Geo-Inf. Sci. 20(2), 45–48 (2004)
Lin, C., Gong, Z., Zhao, W.: The extraction of wetland hydrophytes types based on medium resolution TM data. Acta Ecol. Sin. 30(23), 6460–6469 (2010)
Reif, M., Froh, R.C., Lane, C.R., Autrey, B.: Mapping isolated wetland in a Karst landscape: GIS and remote sensing methods. GIScience Remote Sens. 46, 187–211 (2009)
Fangfang, L., Yonghong, J.: Study on method of extracting wetland and its changed area based on Landsat TM images. Sci. Surv. Mapp. 33(2), 147–149 (2008)
Min, W., Xinhua, G.: The land use classification based on Landsat 8 remote sensing image—A case study of Anqu demonstration community in Honyuan County of Sichuan Province. Pratacultural Sci. 32(5), 694–701 (2015)
Acknowledgement
Thanks to China Manned Space Engineering for providing space science and application data products of Tiangong-2. This paper was jointly supported by National Key R&D Program of China (2017YFC0406004).
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Xing, J., Meng, D. (2019). Wetland Monitoring Application in Panjin City Based on Remote Sensing Data of Wide-Band Imaging Spectrometer of Tiangong-2. In: Gu, Y., Gao, M., Zhao, G. (eds) Proceedings of the Tiangong-2 Remote Sensing Application Conference. Lecture Notes in Electrical Engineering, vol 541. Springer, Singapore. https://doi.org/10.1007/978-981-13-3501-3_28
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DOI: https://doi.org/10.1007/978-981-13-3501-3_28
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