Remote Sensing Technology and Application, Volume. 40, Issue 3, 647(2025)
Fine Classification Mapping of Liaohe Estuary Wetland based on Google Earth Engine and Dense Time Series Information
[1] MAO D H, WANG Z M, DU B J et al. National wetland mapping in China: A new product resulting from object-based and hierarchical classification of Landsat-8 OLI images. ISPRS Journal of Photogrammetry and Remote Sensing, 164, 11-25(2020).
[2] PENG J W, LIU S G, LU W Z et al. Continuous change mapping to understand wetland quantity and quality evolution and driving forces: A case study in the Liao River Estuary from 1986 to 2018. Remote Sensing, 13, 4900(2021).
[3] WANG Faming, TANG Jianwu, YE Siyuan et al. Blue carbon sink function of Chinese coastal wetlands and carbon neutrality strategy. Bulletin of Chinese Academy of Sciences, 36, 241-251(2021).
[4] LI Youzhi, CUI Lijuan, ZHANG Manyin et al. Graded compensation systems based on ecosystem services of Liaohe Estuary wetlands. Wetland Science & Management, 12, 46-49(2016).
[5] LI Jin, QIAO Huiting, XU Tianping et al. Numerical simulation of tidal flow and salinity in Pink Beach wetlands of Liao River Estuary, China. Journal of Dalian Ocean University, 33, 625-632(2018).
[6] AMANI M, BRISCO B, MAHDAVI S et al. Evaluation of the landsat-based Canadian wetland inventory map using multiple sources: Challenges of large-scale wetland classification using remote sensing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 32-52(2020).
[7] TAN Yue, YANG Qian, JIA Mingming et al. Remote sensing monitoring and analysis of the impact of human activities on wetland in Liaohe Estuary national nature reserve. Remote Sensing Technology and Application, 37, 218-230(2022).
[8] GUO S E, FENG Z Y, WANG P et al. Mapping and classifica-tion of the Liaohe Estuary wetland based on the combination of object-oriented and temporal features. IEEE Access, 12, 60496-60512(2024).
[9] WANG Yini, KANG Yaru, CHEN Xu et al. Dynamic analysis of spatial evolution of landscape pattern in the tidal flat wetlands at Liao River Estuary. Journal of Dalian Ocean University, 36, 1009-1017(2021).
[10] CHEN K X, CONG P F, QU L M et al. Annual variation of the landscape pattern in the Liao River Delta wetland from 1976 to 2020. Ocean & Coastal Management, 224, 106175(2022).
[11] WANG Wenshuo. Remote sensing monitoring research on the succession and degradation of typical saline vegetation community(2022).
[12] ZHENG Jiahao, SUN Chao, LIN Yun et al. Classification of salt marsh vegetation based on pixel-level time series from Landsat images. National Remote Sensing Bulletin, 27, 1400-1413(2023).
[13] WU N, SHI R H, ZHUO W et al. A classification of tidal flat wetland vegetation combining phenological features with Google Earth Engine. Remote Sensing, 13, 443(2021).
[14] ZHENG J H, SUN C, ZHAO S S et al. Classification of salt marsh vegetation in the Yangtze River Delta of China using the pixel-level time-series and XGBoost algorithm. Journal of Remote Sensing, 3, 36(2023).
[15] QIU Zhiqiang. Spatial and temporal patterns of spartina alterniflora invasion in the yellow river delta based on GEE and Sentinel time-series data(2022).
[16] 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).
[17] AMANI M, BRISCO B, AFSHAR M et al. A generalized supervised classification scheme to produce provincial wetland inventory maps: An application of Google Earth Engine for big geo data processing. Big Earth Data, 3, 378-394(2019).
[18] AMANI M, MAHDAVI S, AFSHAR M et al. Canadian wetland inventory using Google Earth Engine:The first map and preliminary results. Remote Sensing, 11, 842(2019).
[19] MAHDIANPARI M, BRISCO B, GRANGER J et al. The third generation of pan-Canadian wetland map at 10 m resolution using multisource earth observation data on cloud computing platform. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 8789-8803(2021).
[20] WANG X X, XIAO X M, ZOU Z H et al. Mapping coastal wetlands of China using time series Landsat images in 2018 and Google Earth Engine. ISPRS Journal of Photogrammetry and Remote Sensing, 163, 312-326(2020).
[21] SUN S B, ZHANG Y G, SONG Z L et al. Mapping coastal wetlands of the Bohai rim at a spatial resolution of 10 m using multiple open-access satellite data and terrain indices. Remote Sensing, 12, 4114(2020).
[22] ZHANG Li, LUO Wenting, ZHANG Haohuan et al. Classification scheme for mapping wetland herbaceous plant communities using time series Sentinel-1 and Sentinel-2 data. National Remote Sensing Bulletin, 27, 1362-1375(2023).
[23] CONG P F, CHEN K X, QU L M et al. Dynamic changes in the wetland landscape pattern of the Yellow River Delta from 1976 to 2016 based on satellite data. Chinese Geographical Science, 29, 372-381(2019).
[24] HUANG Y, PENG J T, CHEN N et al. Cross-scene wetland mapping on hyperspectral remote sensing images using adversarial domain adaptation network. ISPRS Journal of Photogrammetry and Remote Sensing, 203, 37-54(2023).
[25] ZHAO Quanhua, HU Guangchen, LI Xiaoli et al. Full-PolSAR image based on wetland classification and change analysis of the Shuangtai Estuary wetland. Research of Environmental Sciences, 32, 309-316(2019).
[26] DONG Zhangyu, LIU Dianwei, WANG Zongming et al. Assessment of the habitat suitability for waterfowls in the Panjin, Liaoning with GIS and remote sensing. Acta Ecologica Sinica, 34, 1503-1511(2014).
[27] CHEN Long, ZHANG Meiling, LI Fengli et al. Structure and diversity of bird communities in Liaohekou wetlands in spring 2017. Wetland Science, 146(2019).
[28] Nedkov R. Orthogonal transformation of segmented images from the satellite Sentinel-2. Comptes Rendus De l’Academie Bulgare Des Sciences, 70, 687-692(2017).
[29] HARALICK R M, SHANMUGAM K, DINSTEIN I. Textural features for image classification. IEEE Transactions on Systems, Man, and Cybernetics, 610-621(1973).
[30] PU R L, LANDRY S. A comparative analysis of high spatial resolution IKONOS and WorldView-2 imagery for mapping urban tree species. Remote Sensing of Environment, 124, 516-533(2012).
[31] HUANG H B, WANG J, LIU C X et al. The migration of training samples towards dynamic global land cover mapping. ISPRS Journal of Photogrammetry and Remote Sensing, 161, 27-36(2020).
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Jiaochan HU, Shenyu TANG, Keyu YUAN, Shuai XIE, Kaizhen ZHOU, Haoyang YU. Fine Classification Mapping of Liaohe Estuary Wetland based on Google Earth Engine and Dense Time Series Information[J]. Remote Sensing Technology and Application, 2025, 40(3): 647
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Received: Mar. 21, 2024
Accepted: --
Published Online: Sep. 28, 2025
The Author Email: Haoyang YU (dlmubs@163.com)