| [1] | Dunn B, Ai E, Alger M J, et al. Wetlands insight tool: characterising the surface water and vegetation cover dynamics of individual wetlands using multidecadal Landsat satellite data[J]. Wetlands, 2023, 43(4): 37. https://doi.org/10.1007/s13157-023-01682-7 doi: 10.1007/s13157-023-01682-7 |
| [2] | Soussi A, Zero E, Sacile R, et al. Smart sensors and smart data for precision agriculture: a review[J]. Sensors, 2024, 24(8): 2647. https://doi.org/10.3390/s24082647 doi: 10.3390/s24082647 |
| [3] | 李亚茹, 云英英, 范秋云, 等. 海南岛野生延药睡莲资源调查研究[J]. 热带作物学报, 2022, 43(7): 1375−1381. https://doi.org/10.3969/j.issn.1000-2561.2022.07.008 doi: 10.3969/j.issn.1000-2561.2022.07.008 |
| [4] | 杨军, 何江, 杨媛, 等. 新疆雪白睡莲资源调查与生物学特性研究[J]. 山东林业科技, 2023, 53(4): 36−41. https://doi.org/10.3969/j.issn.1002-2724.2023.04.007 doi: 10.3969/j.issn.1002-2724.2023.04.007 |
| [5] | Nzei J M, Ngarega B K, Mwanzia V M, et al. Assessment of climate change and land use effects on water lily (Nymphaea L. ) habitat suitability in South America[J]. Diversity, 2022, 14(10): 830. https://doi.org/10.3390/d14100830 doi: 10.3390/d14100830 |
| [6] | 徐贝洁, 赵悦辰, 刘杰, 等. 维药睡莲花化学成分、药理作用及质量控制研究进展[J]. 中国药事, 2025, 39(9): 1055−1073. https://doi.org/10.16153/j.1002-7777.2025-06-0022 doi: 10.16153/j.1002-7777.2025-06-0022 |
| [7] | Zhang M, Lin H. Wetland classification using parcel-level ensemble algorithm based on Gaofen-6 multispectral imagery and Sentinel-1 dataset[J]. Journal of Hydrology, 2022, 606: 127462. https://doi.org/10.1016/j.jhydrol.2022.127462 doi: 10.1016/j.jhydrol.2022.127462 |
| [8] | Wang C Z. At-sensor radiometric correction of a multispectral camera (RedEdge) for sUAS vegetation mapping[J]. Sensors, 2021, 21(24): 8224. https://doi.org/10.3390/s21248224 doi: 10.3390/s21248224 |
| [9] | Lin J Y, Tsai H L, Lyu W H. An integrated wireless multi-sensor system for monitoring the water quality of aquaculture[J]. Sensors, 2021, 21(24): 8179. https://doi.org/10.3390/s21248179 doi: 10.3390/s21248179 |
| [10] | 谢得宝, 周敏, 冯俊, 等. 闸控湖泊水生植物恢复的敏感生态水位研究: 以固城湖为例[J]. 水利水运工程学报, 2025(3): 14−24. https://doi.org/10.12170/20240715001 doi: 10.12170/20240715001 |
| [11] | Kundu S, Kundu B, Rana N K, et al. Wetland degradation and its impacts on livelihoods and sustainable development goals: an overview[J]. Sustainable Production and Consumption, 2024, 48: 419−434. https://doi.org/10.1016/j.spc.2024.05.024 doi: 10.1016/j.spc.2024.05.024 |
| [12] | 夏少霞, 于秀波, 王春晓. 中国湿地生态站现状、发展趋势及空间布局[J]. 生态学报, 2022, 42(19): 7717−7728. https://doi.org/10.5846/stxb202104130960 doi: 10.5846/stxb202104130960 |
| [13] | Pan Y L, Xu X D, Long J P, et al. Change detection of wetland restoration in China’s Sanjiang National Nature Reserve using STANet method based on GF-1 and GF-6 images[J]. Ecological Indicators, 2022, 145: 109612. https://doi.org/10.1016/j.ecolind.2022.109612 doi: 10.1016/j.ecolind.2022.109612 |
| [14] | 李斌, 张爱竹, 孙根云, 等. 基于时序Sentinel-2影像的鄱阳湖湿地典型植被群落提取[J]. 遥感技术与应用, 2024, 39(5): 1271−1283. https://doi.org/10.11873/j.issn.1004-0323.2024.5.1271 doi: 10.11873/j.issn.1004-0323.2024.5.1271 |
| [15] | Slagter B, Tsendbazar N E, Vollrath A, et al. Mapping wetland characteristics using temporally dense Sentinel-1 and Sentinel-2 data: a case study in the St. Lucia wetlands, South Africa[J]. International Journal of Applied Earth Observation and Geoinformation, 2020, 86: 102009. https://doi.org/10.1016/j.jag.2019.102009 doi: 10.1016/j.jag.2019.102009 |
| [16] | Lausch A, Bannehr L, Berger S A, et al. Monitoring water diversity and water quality with remote sensing and traits[J]. Remote Sensing, 2024, 16(13): 2425. https://doi.org/10.3390/rs16132425 doi: 10.3390/rs16132425 |
| [17] | 宫一男, 谭孟雨, 王震, 等. 基于深度学习的红外相机动物影像人工智能识别: 以东北虎豹国家公园为例[J]. 兽类学报, 2019, 39(4): 458−465. https://doi.org/10.16829/j.slxb.150333 doi: 10.16829/j.slxb.150333 |
| [18] | Zhang H H, Si Y, Zhao R N, et al. Complete chloroplast genome and phylogenetic relationship of Nymphaea nouchali (Nymphaeaceae), a rare species of water lily in China[J]. Gene, 2023, 858: 147139. https://doi.org/10.1016/j.gene.2022.147139 doi: 10.1016/j.gene.2022.147139 |
| [19] | 邵全琴, 刘纪远, 樊江文, 等. 三江源智慧生态畜牧业技术平台建设[Z]. 北京市, 中国科学院地理科学与资源研究所 2025-10-15 |
| [20] | 孙伟伟, 刘围围, 王煜淼, 等. 2010年—2022年全球湿地高光谱遥感研究进展与展望[J]. 遥感学报, 2023, 27(6): 1281−1299. https://doi.org/10.11834/jrs.20232620 doi: 10.11834/jrs.20232620 |
| [21] | 罗菊花, 杨井志成, 段洪涛, 等. 浅水湖泊水生植被遥感监测研究进展[J]. 遥感学报, 2022, 26(1): 68−76. https://doi.org/10.11834/jrs.20221208 doi: 10.11834/jrs.20221208 |
| [22] | McCord S E, Webb N P, Bestelmeyer B T, et al. The Landscape Data Commons: a system for standardizing, accessing, and applying large environmental datasets for agroecosystem research and management[J]. Agricultural & Environmental Letters, 2023, 8(2): e20120. https://doi.org/10.1002/ael2.20120 doi: 10.1002/ael2.20120 |
| [23] | Himeur Y, Rimal B, Tiwary A, et al. Using artificial intelligence and data fusion for environmental monitoring: a review and future perspectives [J]. Information Fusion, 2022, 86−87: 44−75. https://doi.org/10.1016/j.inffus.2022.06.003 doi: 10.1016/j.inffus.2022.06.003 |
| [24] | Guo M, Li J, Sheng C L, et al. A review of wetland remote sensing[J]. Sensors, 2017, 17(4): 777. https://doi.org/10.3390/s17040777 doi: 10.3390/s17040777 |
| [25] | 李意德, 陈洁, 许涵, 等. 稀有物种的调控机制及其在生态修复中的应用启示[J]. 陆地生态系统与保护学报, 2021, 1(1): 1−11. https://doi.org/10.12356/j.2096-8884.2021-0014 doi: 10.12356/j.2096-8884.2021-0014 |
| [26] | Yu X L, Chen F F, Chen Z Y F, et al. Genetic diversity and gene expression diversity shape the adaptive pattern of the aquatic plant Batrachium bungei along an altitudinal gradient on the Qinghai–Tibet plateau[J]. Plant Molecular Biology, 2023, 111(3): 275−290. https://doi.org/10.1007/s11103-022-01326-0 doi: 10.1007/s11103-022-01326-0 |
| [27] | 范存祥, 林志斌, 钟文. 海珠湿地生态监测体系构建[J]. 湿地科学与管理, 2020, 16(2): 61−64. https://doi.org/10.3969/j.issn.1673-3290.2020.02.16 doi: 10.3969/j.issn.1673-3290.2020.02.16 |
| [28] | Wang Y W, Gao J, Guo Q C, et al. UAV-based LiDAR and optical imagery fusion for fine-scale classification of aquatic plant associations in lakeshore wetlands[J]. Frontiers in Forests and Global Change, 2025, 8: 1698796. https://doi.org/10.3389/FFGC.2025.1698796 doi: 10.3389/FFGC.2025.1698796 |
| [29] | Liu X Q, Li S S. Biodiversity-ecosystem functioning relationship under water level regulation: wetland plant biomass is more strongly related to functional redundancy than functional diversity[J]. Water Biology and Security, 2026, 5(1): 100416. https://doi.org/10.1016/j.watbs.2025.100416 doi: 10.1016/j.watbs.2025.100416 |
| [30] | Song Y, Gao M, Zhang C P, et al. Variation in soil microbial networks and biogeochemical cycles in the Yalu river Estuary wetland[J]. Annals of Microbiology, 2025, 75(1): 13. https://doi.org/10.1186/s13213-025-01805-x doi: 10.1186/s13213-025-01805-x |
| [31] | Chalmers C, Fergus P, Wich S, et al. AI-driven real-time monitoring of ground-nesting birds: a case study on curlew detection using YOLOv10[J]. Remote Sensing, 2025, 17(5): 769. https://doi.org/10.3390/rs17050769 doi: 10.3390/rs17050769 |
| [32] | Villa P, Berton A, Bolpagni R, et al. Exploring spectral and phylogenetic diversity links with functional structure of aquatic plant communities[J]. Remote Sensing of Environment, 2025, 318: 114582. https://doi.org/10.1016/j.rse.2024.114582 doi: 10.1016/j.rse.2024.114582 |
| [33] | Abdallah A Y A, Albert-Saiz M, Rastogi A, et al. Cloud-based remote sensing for wetland monitoring: a review[J]. Remote Sensing, 2023, 15(6): 1660. https://doi.org/10.3390/rs15061660 doi: 10.3390/rs15061660 |
| [34] | Catry T, Li Z C, Roux E, et al. Wetlands and malaria in the Amazon: guidelines for the use of synthetic aperture radar remote-sensing[J]. International Journal of Environmental Research and Public Health, 2018, 15(3): 468. https://doi.org/10.3390/ijerph15030468 doi: 10.3390/ijerph15030468 |