陈喜芬, 吴文渊, 卢善龙, 徐俊锋, 张登荣, 胡潭高. 基于Keyhole和Landsat MSS融合影像的土地利用变化监测研究—以杭州湾南岸为例[J]. 北京师范大学学报(自然科学版), 2021, 57(6): 845-853. DOI: 10.12202/j.0476-0301.2021103
引用本文: 陈喜芬, 吴文渊, 卢善龙, 徐俊锋, 张登荣, 胡潭高. 基于Keyhole和Landsat MSS融合影像的土地利用变化监测研究—以杭州湾南岸为例[J]. 北京师范大学学报(自然科学版), 2021, 57(6): 845-853. DOI: 10.12202/j.0476-0301.2021103
CHEN Xifen, WU Wenyuan, LU Shanlong, XU Junfeng, ZHANG Dengrong, HU Tangao. Land use monitoring with Keyhole and Landsat MSS fusion images: case of south bank of Hangzhou Bay[J]. Journal of Beijing Normal University(Natural Science), 2021, 57(6): 845-853. DOI: 10.12202/j.0476-0301.2021103
Citation: CHEN Xifen, WU Wenyuan, LU Shanlong, XU Junfeng, ZHANG Dengrong, HU Tangao. Land use monitoring with Keyhole and Landsat MSS fusion images: case of south bank of Hangzhou Bay[J]. Journal of Beijing Normal University(Natural Science), 2021, 57(6): 845-853. DOI: 10.12202/j.0476-0301.2021103

基于Keyhole和Landsat MSS融合影像的土地利用变化监测研究—以杭州湾南岸为例

Land use monitoring with Keyhole and Landsat MSS fusion images: case of south bank of Hangzhou Bay

  • 摘要: 以杭州湾南岸为研究区,利用1980年9月20日的Keyhole遥感影像与同一时期的Landsat MSS遥感影像,通过融合处理,获得既具有高空间分辨率又有多光谱分辨率的历史遥感影像,填补历史高分辨率遥感影像的空缺.研究结果将历史土地利用类型变化监测时间序列推前的同时,提高杭州湾南岸土地利用变化监测的精度.研究中将使用历史融合影像对杭州湾土地利用类型变化进行监测,同时结合1990—2020年4景Landsat遥感影像,获得杭州湾南岸地区近41年的土地利用情况,辅以前人的目视解译结果图,得到分类精度>90%的土地覆被利用分类结果.从面积变化、类型转化、年均变化率3方面分析讨论了1980—2020年间杭州湾南岸地区土地利用的时空变化特征.结果表明:1980—1990年,杭州湾南岸库塘呈减少的趋势,耕地逐渐向海岸地区扩张;1990—2020年,城市的扩张面积不断增加且呈现向海岸扩张的趋势,库塘的面积增加明显,主要表现在人工养殖场继续向海岸扩张.城市的发展是影响杭州湾南岸土地利用变化的主要因素,并且在杭州湾城市规划的同时应该充分考虑其生态环境的问题,加强自然湿地保护,严格控制自然湿地的开发规模,坚持可持续发展,在保护湿地的基础上进行合理的开发利用.

     

    Abstract: Important early data for wetland land cover change monitoring can be provided by historical images.Historical remote sensing images with high spatial resolution and multi-spectral resolution were obtained after fusing Keyhole remote sensing images of Sept.20, 1980 with Landsat MSS remote sensing images of the same period, filling the gap of historical high-resolution remote sensing images for the south bank of Hangzhou Bay.These results would advance the time series of historical land use monitoring and improve accuracy of land use change monitoring of the south bank of Hangzhou Bay.Historical fusion images and four-scene Landsat remote sensing images from 1990−2020 were used to monitor and obtain land use types of the Hangzhou Bay.Combined with previous visual interpretation results, classification of land use at accuracy of > 90% was obtained.The temporal and spatial changes of land use from 1980−2020 were analyzed for area change, type transformation and average annual change rate.Reservoirs and ponds showed a degradation trend from 1980−1990, but cultivated land gradually expanded to coastal area.Expansion area of the city continued to increase from 1990−2020, showing a trend of expanding to the coast.Area of reservoirs and ponds increased significantly, artificial farms continued to expand to the coast.Urban development was the main factor affecting land use change.In future urban planning of Hangzhou Bay, ecological environment should be fully considered.Protection of natural wetlands should be strengthened, development scale of natural wetlands should be strictly controlled.For sustainable development, reasonable development and utilization with wetland protection should be considered.

     

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