Remote Sensing Technology and Application, Volume. 40, Issue 3, 734(2025)
Remote Sensing Information Extraction of Yancheng Wetland Rare Bird Reserve based on Multi-Feature Optimization
[1] MITSCH W J, GOSSELINK J G. The value of wetlands: Importance of scale and landscape setting. Ecological Economics, 35, 25-33(2000).
[2] MOU Xiaojie, LIU Xingtu, YAN Baixing et al. Classification system of coastal wetlands in China. Wetland Science, 13, 19-26(2015).
[3] ZHANG Zhengwang. Bird diversity and conservation status of key habitats in coastal wetlands in China, 2(2017).
[4] TIAN B, WU W T, YANG Z Q et al. Drivers, trends, and potential impacts of long-term coastal reclamation in China from 1985 to 2010. Estuarine, Coastal and Shelf Science, 170, 83-90(2016).
[5] WANG W, LIU H, LI Y Q et al. Development and management of land reclamation in China. Ocean & Coastal Management, 102, 415-425(2014).
[6] LIU Hongyu, LI Yufeng, CAO Xiao et al. The current problems and perspectives of landscape researchof wetlands in China. Acta Geographica Sinica, 64, 1394-1401(2009).
[7] DRONOVA I. Object-based image analysis in wetland research: A review. Remote Sensing, 7, 6380-6413(2015).
[8] MA Mingguo, WANG Jian, WANG Xuemei. Advance in the inter-annual variability of vegetation and its relation to climate based on remote sensing. Journal of Remote Sensing, 10, 421-431(2006).
[9] GALLANT A. The challenges of remote monitoring of wetlands. Remote Sensing, 7, 10938-10950(2015).
[10] HILL R A, WILSON A K, GEORGE M et al. Mapping tree species in temperate deciduous woodland using time-series multi-spectral data. Applied Vegetation Science, 13, 86-99(2010).
[11] SARP G, OZCELIK M. Water body extraction an-d change detection using time series :A case study of Lake Burdur, Turkey. Journal of Taibah University for Science, 11, 381-391(2018).
[12] ASHOK A, RANI H P, JAYAKUMAR K V. Monitoring of dynamic wetland changes using NDVI and NDWI based landsat imagery. Remote Sensing Applications: Society and Environment, 23, 100547(2021).
[13] CUI Hongxing, YANG Hong. Object-oriented waterline extraction based on Sentinel-2A satellite data, a case study in Rudong. Marine Sciences, 42, 94-99(2018).
[14] PIRALI ZEFREHEI A R, HEDAYATI A, POURMANAFI S et al. Environmental vulnerability assessment of choghakhor international wetland during 1985 to 2018. Lakes & Reservoirs: Science, 25, 49-60(2020).
[15] HUANG Anqi, WANG Xiaopeng, ZHANG Xiang et al. Wetland information extracted from Jiaozhou Bay based on multi feature optimization with multi-temporal remote sensing imageries. Transactions of Oceanology and Limnology, 43, 161-170(2021).
[16] MU S J, LI B, YAO J et al. Monitoring the spatio-temporal dynamics of the wetland vegetation in Poyang Lake by Landsat and MODIS observations. Science of The Total Environment, 725, 138096(2020).
[17] XIE Shuyu, FU Bolin, LI Ying et al. Classification method on marsh wetlands in Honghe national nature reserve based on multi-dimensional remote sensing images. Wetland Science, 19, 1-16(2021).
[18] LI Jialin, TONG Chen, HUANG Ripeng et al. Spatio-temporal evolution of coastal wetlands affected by human activities: A case study of Yancheng City, south coast of Hangzhou Bay and Xiangshan Harbor wetlands. Journal of Ningbo University(Natural Science & Engineering Edition), 33, 1-9(2020).
[19] SU Wei, ZHANG Mingzheng, JIANG Kunping et al. Atmospheric correction method for Sentinel-2 satellite imagery. Acta Optica Sinica, 38(2018).
[20] YIN Zhiheng, ZHEN Yan, YANG Xiaoqin et al. Spatial-temporal evolution analysis of landscape pattern of Yancheng national rare birds nature reserve from 1997 to 2017. Geomatics & Spatial Information Technology, 44, 63-67(2021).
[21] ZHANG Huabing, ZHEN Yan, WU Feier et al. Relationship between habitat quality change and the expansion of Spartina alterniflora in the coastal area: Taking Yancheng National Nature Reserve in Jiangsu Province as an example. Resources Science, 42, 1004-1014(2020).
[22] YOU Peipei, LIU Zhenbo, XIE Jiawei et al. Research on deep learning algorithm remote sensing classification of Jiangsu coastal wetlands based on GF-2 image. Resources and Environment in the Yangtze Basin, 30, 1659-1669(2021).
[23] FERNÁNDEZ-MANSO A, FERNÁNDEZ-MANSO O, QUINTANO C. Sentinel-2A red-edge spectral indices suitability for discriminating burn severity. International Journal of Applied Earth Observation and Geoinformation, 50, 170-175(2016).
[24] WEI Xuan. Wetland vegetation classification based on the texture feature of remote sensing image. Geospatial Information, 15, 63-64(2017).
[25] PENG Zhuangzhuang, WU Yongbin, ZHU Menghao et al. Research on crop classification based on time series Sentinel-2 images. Geomatics & Spatial Information Technology, 44, 81-84(2021).
[26] HOU Qunqun, WANG Fei, YAN Li. Extraction of color image texture feature based on gray-level cooccurrence matrix. Remote Sensing for Land & Resources, 25, 26-32(2013).
[27] MIURA T, HUETE A R, VAN LEEUWEN W J D. Vegetation de⁃ MIURA T, HUETE A R, VAN LEEUWEN W J D,. Journal of Geophysical Research: Atmospheres, 103, 32001-32011(1998).
[28] LIU Ruiqing, LI Jialin, SUN Chao et al. Classification of Yancheng coastal wetland vegetation based on vegetation phenological characteristics derived from Sentinel-2 time-series. Acta Geographica Sinica, 76, 1680-1692(2021).
[29] DRǍGUŢ L, TIEDE D, LEVICK S R. ESP: A tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data. International Journal of Geographical Information Science, 24, 859-871(2010).
[30] SHEN Xinying, YANG Hong, WANG Chunfeng et al. Dynamic changes of wetland landscape in the coastal zone of Yancheng from 1990 to 2020 based on remote sensing images. Journal of Shanghai Ocean University, 31, 972-983(2022).
[31] ZHANG Lei, GONG Zhaoning, WANG Qiwei et al. Wetland mapping of Yellow River Delta wetlands based on multi-feature optimization of Sentinel-2 images. Journal of Remote Sensing, 23, 313-326(2019).
[32] Panpan XÜ. Study on finer mapping of wetlands based on high temporal and high spatial resolution data(2018).
[33] MACINTYRE P, VAN NIEKERK A, MUCINA L. Efficacy of multi-season Sentinel-2 imagery for compositional vegetation classification. International Journal of Applied Earth Observation and Geoinformation, 85, 101980(2020).
[34] XIA Ying, LI Enhua, WANG Xuelei et al. Application of random forest algorithm based on feature optimization in wetland information extraction: A case study of Honghu Wetland Nature Reserve in Hubei Province. Journal of Central China Normal University (Natural Sciences Edition), 55, 639-648(2021).
[35] CLARK M L. Comparison of simulated hyperspectral HyspIRI and multispectral Landsat 8 and Sentinel-2 imagery for multi-seasonal, regional land-cover mapping. Remote Sensing of Environment, 200, 311-325(2017).
[36] FEILHAUER H, THONFELD F, FAUDE U et al. Assessing floristic composition with multispectral sensors—A comparison based on monotemporal and multiseasonal field spectra. International Journal of Applied Earth Observation and Geoinformation, 21, 218-229(2013).
[37] SUN Yanwei, LI Ying. Assessment of spatio-temporal distribution characteristic of sea level anomaly changes and its potential socio-economic risks in China’s coastal areas from 1993 to 2018. Journal of Natural Resources, 37, 1073-1088(2022).
[38] LIANG Shuang, GONG Zhaoning, ZHAO Wenji et al. Information extraction of Baiyangdian wetland based on multi-season Sentinel-2 images. Remote Sensing Technology and Application, 36, 777-790(2021).
[39] WAN Changjun, WU Xiaodan, LIN Xingwen. Impact of spatial and temporal scales of remote sensing data on the spatiotemporal change in geographic elements. Journal of Remote Sensing, 23, 1064-1077(2019).
[40] ZARNETSKE P L, RUGGIERO P, SEABLOOM E W et al. Coastal foredune evolution: The relative influence of vegetation and sand supply in the US Pacific Northwest. Journal of the Royal Society, 12, 20150017(2015).
[41] XIONG Yuankang, ZHANG Honghui, LIANG Yuzhe et al. Monitoring of land cover change based on Google Earth Engine and multi-source remote sensing data. Geospatial Informa tion, 19, 73-78,82,87(2021).
[42] XIE Jing. Classification of wetlands using object-oriented method and multi-season remote sensing images in Sanjiang plain(2013).
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Senbo YU, Hong YANG, Chunfeng WANG, Dasong LUO. Remote Sensing Information Extraction of Yancheng Wetland Rare Bird Reserve based on Multi-Feature Optimization[J]. Remote Sensing Technology and Application, 2025, 40(3): 734
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Received: May. 18, 2023
Accepted: --
Published Online: Sep. 28, 2025
The Author Email: Hong YANG (hyang@shou.edu.cn)