Analysis of changes of Baiyangdian wetland from 1975 to 2018 based on remote sensing

Jinfeng ZHU; Yi ZHOU; Shixin WANG; Litao WANG; Wenliang LIU; Haitao LI; Junjun MEI

doi:10.11834/jrs.20198379

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Analysis of changes of Baiyangdian wetland from 1975 to 2018 based on remote sensing
Vol. 23, Issue 5, Pages: 971-986(2019)
Published： 2019-9 ，

Accepted： 17 April 2019
DOI： 10.11834/jrs.20198379

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朱金峰, 周艺, 王世新, 王丽涛, 刘文亮, 李海涛, 梅军军. 2019. 1975年—2018年白洋淀湿地变化分析. 遥感学报, 23(5): 971–986

Zhu J F, Zhou Y, Wang S X, Wang L T, Liu W L, Li H T and Mei J J. 2019. Analysis of changes of Baiyangdian wetland from 1975 to 2018 based on remote sensing. Journal of Remote Sensing, 23(5): 971–986
朱金峰, 周艺, 王世新, 王丽涛, 刘文亮, 李海涛, 梅军军. 2019. 1975年—2018年白洋淀湿地变化分析. 遥感学报, 23(5): 971–986 DOI： 10.11834/jrs.20198379.

Zhu J F, Zhou Y, Wang S X, Wang L T, Liu W L, Li H T and Mei J J. 2019. Analysis of changes of Baiyangdian wetland from 1975 to 2018 based on remote sensing. Journal of Remote Sensing, 23(5): 971–986 DOI： 10.11834/jrs.20198379.

摘要

白洋淀湿地生态功能重要、战略地位特殊，研究其时空变化规律具有重要意义。本文基于1975年—2018年间10期Landsat卫星遥感影像，辅以2017年—2018年高分二号(GF-2)卫星遥感影像，在野外考察湿地类型及其覆被特征基础上，人机交互解译获取各期土地利用/覆被分类图，从面积变化、类型转化、景观格局变化方面分析了近43年白洋淀湿地变化时空特征，讨论了影响分析结果的不确定性因素以及湿地变化成因。结果表明：1975年—2018年白洋淀湿地面积总体呈减少趋势，净变化−68.20 km

(−24.83%)。其中，1975年—1990年湿地面积波动性小、基本稳定，1990年—2011年湿地面积持续性减少，2011年—2018年湿地面积呈现增加趋势。湿地与非湿地类型相互转换区域主要分布于淀区南部、西部、北部的水体—水生植物—耕地—建设用地过渡区域。近43年白洋淀湿地景观趋于破碎、复杂和异质。遥感影像选取月份、年份，以及土地利用/覆被分类体系、分类方法，是影响分析结果的主要不确定性因素。气候、水文等自然因素变化，叠加工农业及城镇生活用水、上游水利工程蓄水、地下水开采等人为因素变化，是白洋淀湿地面积减少、趋于干化的成因。

Abstract

Baiyangdian Wetland is located in Xiong’an New Area

with important ecological functions and special strategic position. For a long time

under the combined effects of human activities and climate change

the Baiyangdian Wetland has gradually shrunk and even dried up. It is of great significance to further study the carrying capacity of ecological and environmental of the Xiong’an New Area by understanding the change characteristics and ecological functions of the Baiyangdian Wetland ecosystem. Currently remote sensing based analysis of changes of this region has insufficient in research periods

classification system and information interpretation of land use / land cover of wetland. This work studied spatiotemporal characteristics of changes of Baiyangdian Wetland from 1975 to 2018. Images of Landsat MSS/TM/ETM+/OLI during 1975—2018 and GF-2 PMS in 2017 and 2018 were acquired to analyze land use / land cover change. First

image interpretation symbol were built based on field survey of wetland types and their image features. Then

all images in ten periods were interpreted visually and land use / land cover were mapped out during 1975—2018. Last

we analyzed spatiotemporal characteristics of changes of Baiyangdian Wetland from changes of areas

types and landscape patterns. Results showed that areas of the Baiyangdian Wetland decreased 68.20 km

(24.83%) from 1975 to 2018. Different characteristics were at different time periods. The wetland area was basically stable from 1975 to 1990

but decreased continuously from 1990 to 2011. In the period of 2011—2018 wetland area showed an increasing trend. The inter-transformation areas between types of wetland and non-wetland were mainly distributed in the transition region of water-aquatic plants-cultivated land-construction land

in the southern

western and northern parts of the Baiyangdian Wetland. In the past 43 years

the landscape pattern of Baiyangdian Wetland has become fragmented

complex and heterogeneous. Main uncertain factors affecting the analysis results include acquired time

such as month and year

of satellite images

classification systems and methods of land use / land cover. Changes in natural factors

such as climate

hydrology

as well as in human factors

such as water consumption from industrial

agricultural and urban

water resources projects in headwaters of baiyangdian basin

and groundwater exploitation

are the causes of the reduction and drying of the Baiyangdian Wetland.

关键词

湿地变化遥感Landsat高分二号(GF-2)土地利用/覆被白洋淀

Keywords

wetland changesremote sensingLandsatGF-2land use / land coverBaiyangdian wetland

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