时间序列遥感影像支持下杭州湾南岸植被动态监测
PDF下载 (246)刘永超,李加林,张 宇,赵冰雪,许文轩,何改丽,刘永学. 时间序列遥感影像支持下杭州湾南岸植被动态监测 [J].宁波大学学报(理工版),2020,33(1):25-31.DOI:
<span style="font-family: ",Times New Roman",font-size: 0pt,">LIU Yongchao,LI Jialin,ZHANG Yu,ZHAO Bingxue,XU Wenxuan,HE Gaili,LIU Yongxue. <span style="font-family: "Times New Roman"; font-size: 10pt;">Dynamic monitoring of vegetation in southern Hangzhou Bay from time series images [J].Journal of Ningbo University(Natural Science & Engineering Edition),2020,33(1):25-31.DOI:
| Title: | <span style="font-family: "Times New Roman"; font-size: 10pt;">Dynamic monitoring of vegetation in southern Hangzhou Bay from time series images |
| 作者: | 刘永超, 李加林, 张 宇, 赵冰雪, 许文轩, 何改丽, 刘永学, XU Wenxuan, HE Gaili, LIU Yongxue |
| Author(s): | <span style="font-family: ", Times New Roman", font-size: 0pt, ">LIU Yongchao, LI Jialin, ZHANG Yu, ZHAO Bingxue, XU Wenxuan, HE Gaili, LIU Yongxue |
| 关键词: | 时间序列分析; 植被动态; 围垦; 人工引种; 杭州湾南岸 |
| Keywords: | time series analysis; vegetation dynamics; reclamation; artificial planting; Southern Hangzhou Bay |
| 分类号: | Q149; X826 |
| 文献标识码: | A |
| 摘要: | 海岸带植被是连通陆海生态系统的关键要素<span style="font-family: "Times New Roman"; font-size: 10pt;">, 在全球变暖、海平面上升及人类活动加剧等背景下<span style="font-family: "Times New Roman"; font-size: 10pt;">, 掌握海岸带植被演化规律是支撑未来海岸带弹性发展的基础<span style="font-family: "Times New Roman"; font-size: 10pt;">. 以太平洋西岸中部长江三角洲杭州湾南岸为研究区<span style="font-family: "Times New Roman"; font-size: 10pt;">, 利用时间序列<span style="font-family: "Times New Roman"; font-size: 10pt;">Landsat遥感影像对<span style="font-family: "Times New Roman"; font-size: 10pt;">1984至<span style="font-family: "Times New Roman"; font-size: 10pt;">2018年杭州湾南岸植被动态进行监测<span style="font-family: "Times New Roman"; font-size: 10pt;">. 结果表明<span style="font-family: "Times New Roman"; font-size: 10pt;">: 杭州湾南岸植被面积从<span style="font-family: "Times New Roman"; font-size: 10pt;">1984年的<span style="font-family: "Times New Roman"; font-size: 10pt;">7.26km<span style="font-family: "Times New Roman"; font-size: 10pt;">2增加至<span style="font-family: "Times New Roman"; font-size: 10pt;">2018年的<span style="font-family: "Times New Roman"; font-size: 10pt;">468.35 km<span style="font-family: "Times New Roman"; font-size: 10pt;">2<span style="font-family: "Times New Roman"; font-size: 10pt;">, 主要经历了生长发育到迅速扩张再到缓慢增长等演化阶段<span style="font-family: "Times New Roman"; font-size: 10pt;">; 在围垦、人工引种及泥沙淤积等影响下<span style="font-family: "Times New Roman"; font-size: 10pt;">, 海岸植被垂直于海堤沿海岸呈带状分布并伴有稀疏碎斑<span style="font-family: "Times New Roman"; font-size: 10pt;">, 其景观构成与演替特征显著<span style="font-family: "Times New Roman"; font-size: 10pt;">; 研究也显示了<span style="font-family: "Times New Roman"; font-size: 10pt;">Google Earth Engine对于海岸植被长时序持续监测的优势与潜力<span style="font-family: "Times New Roman"; font-size: 10pt;">. 研究揭示的人类活动加剧背景下杭州湾南岸植被变化特征<span style="font-family: "Times New Roman"; font-size: 10pt;">, 对维护滨海湿地生态系统安全及大湾区可持续发展有重要意义<span style="font-family: "Times New Roman"; font-size: 10pt;">. |
| Abstract: | Coastal <span style="font-family: "Times New Roman"; font-size: 10pt;">vegetation is a key element in connecting land and sea ecosystems. Under the background of global warming, sea-level rise (SLR) and increased human activities, mastering the evolution law of coastal vegetation is the basis for supporting the elastic development of the future coastal zones. Taking the south bank of Hangzhou Bay in the West Coast of the Pacific Ocean as the sampled research area, the vegetation dynamics of the Southern Hangzhou Bay (SHB) from 1984 to 2018 were monitored by time-series Landsat remote sensing images. The results show that the vegetation area on the SHB has increased from 7.26km2 in 1984 to 468.35km2 in 2018, mainly undergoing evolutionary stages from growth and development to rapid expansion then back to slow growth. Under the influence of cofferdam, artificial introduction and sedimentation, the coastal vegetation is distributed perpendicularly to the seawall along the coast with sparse plaques, and its landscape composition and succession characteristics are significant. The study also shows the advantages and potential of Google Earth Engine for continuous monitoring of coastal vegetation. The study reveals that the characteristics of vegetation change on the SHB under the background of human activities are extremely important for maintaining the safety of the coastal wetland ecosystem and the sustainable development of the super bay area. |
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| 备注/Memo: | 收稿日期: 2019－09－30. 宁波大学学报（理工版）网址: http://journallg.nbu.edu.cn/ 基金项目: 国家自然科学基金（41971378）; 江苏省杰出青年基金（BK20160023）; NSFC-浙江两化融合联合基金（U1609203）; 安徽省高校自然科学项目（KJ2019A0866）. 第一作者: 刘永超（1990－）, 男, 甘肃庆阳人http://journallg.nbu.edu.cn/ |
