| 湿地受损遥感识别方法及其在天津滨海新区的应用 |
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| 引用本文： | 吕金霞, 蒋卫国, 王文杰, 荔琢, 陈征, 陈坤. 湿地受损遥感识别方法及其在天津滨海新区的应用[J]. 环境工程技术学报, 2020, 10(1): 1-8. doi: 10.12153/j.issn.1674-991X.20190092 |
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| 作者姓名： | 吕金霞 蒋卫国 王文杰 荔琢 陈征 陈坤 |
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| 作者单位： | 1.地表过程与资源生态国家重点实验室,北京师范大学地理科学学部;;2.环境演变与自然灾害教育部重点实验室,北京师范大学地理科学学部;;3.中国环境科学研究院;;4.生态环境部土壤与农业农村生态环境监管技术中心 |
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| 摘 要： | 城市化进程的加快及对湿地资源的不合理开发利用造成湿地严重受损,开展湿地资源的时空变化监测对于湿地的合理开发和可持续发展具有重要作用。基于多时期土地利用数据和长时间序列的Landsat影像数据,利用马尔科夫转移矩阵和GIS空间分析法分析湿地类型受损状况,利用趋势分析法分析长时间序列和不同阶段的湿地植被、水体和土壤湿度要素受损状况,构建了湿地受损遥感识别方法,综合湿地类型和湿地要素受损状况,分析湿地受损模式,并在天津滨海新区进行案例研究。结果显示:滨海新区湿地类型受损主要分为3个时期(1980s—2000年、2000—2009年、2009—2015年),期间湿地经历了从受损到恢复的过程,1980s—2015年滨海新区湿地面积增加了41.40 km 2;1984—2015年湿地要素均呈退化趋势,植被、水体和土壤显著退化的面积分别为364.66、221.28和253.94 km 2。在不同时间段内,影响湿地面积受损的主导因素不同,3个时期滨海新区湿地受损分别是植被、水体和植被占主要地位。
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| 关 键 词： | 滨海湿地 受损识别 遥感 天津滨海新区 |
| 收稿时间： | 2019-05-30 |
Wetland loss identification based on remote sensing technology and its application in Binhai New Area,Tianjin City |
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| LÜ Jinxia, JIANG Weiguo, WANG Wenjie, LI Zhuo, CHEN Zheng, CHEN Kun. Wetland loss identification based on remote sensing technology and its application in Binhai New Area, Tianjin City[J]. Journal of Environmental Engineering Technology, 2020, 10(1): 1-8. doi: 10.12153/j.issn.1674-991X.20190092 |
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| Authors: | LÜ Jinxia JIANG Weiguo WANG Wenjie LI Zhuo CHEN Zheng CHEN Kun |
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| Affiliation: | 1. State Key Laboratory of Earth Surface Processes and Resource Ecology,Faculty of Geographical Science, Beijing Normal University;;2. Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education,Faculty of Geographical Science, Beijing Normal University;;3. Chinese Research Academy of Environmental Sciences;;4. Technical Center for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment |
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| Abstract: | The acceleration of the urbanization process and a series of unreasonable development and utilization of wetland resources have caused serious damage of the wetland, and the monitoring of the temporal and spatial changes of wetland resources plays important role in the regional development and sustainable development of wetland. Based on multi-period land use data and long-term sequence Landsat image data, the loss status of wetland types were analyzed by using Markov transfer matrix and GIS spatial analysis method. The trend analysis method was used to analyze the wetland vegetation, water body and soil moisture elements loss in long-term sequences and different stages. The remote sensing identification method of wetland loss was constructed, and the wetland loss patterns were summarized combined with wetland type and wetland element loss, with a case study in Tianjin Binhai New Area. The results showed that the damage of wetland types in Binhai New Area was mainly divided into three periods (1980s-2000, 2000-2009, 2009-2015). From 1980s to 2015, the wetland experienced the process from damage to recovery, and the wetland area increased by 41.40 km 2. Wetland elements showed a degradation trend from 1984 to 2015. The areas of significant degradation of NDVI, NDWI and SMMI were 364.66, 221.28 and 253.94 km 2, respectively. In three different periods, different dominant factors affected the damaged area of wetland. In Binhai New Area, the wetland loss was mainly caused by vegetation, water area and vegetation during the three periods. |
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| Keywords: | coastal wetland loss identification remote sensing Tianjin Binhai New Area |
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