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基于DInSAR的洪河国家级自然保护区沼泽水位相对变化量监测研究
引用本文:付波霖,蓝斐芜,邓腾芳,李颖,何宏昌,范冬林,高二涛,杨高. 基于DInSAR的洪河国家级自然保护区沼泽水位相对变化量监测研究[J]. 湿地科学, 2021, 19(1): 27-39
作者姓名:付波霖  蓝斐芜  邓腾芳  李颖  何宏昌  范冬林  高二涛  杨高
作者单位:桂林理工大学测绘地理信息学院,广西桂林541004;中国科学院湿地生态与环境重点实验室,中国科学院东北地理与农业生态研究所,吉林长春130102
基金项目:国家自然科学基金项目(41801071);广西自然科学基金项目(2018GXNSFBA281015);桂林理工大学科研启动基金资助项目(GUTQDJJ2017096);广西科技计划项目(桂科AD20159037);广西八桂学者团队项目资助。
摘    要:水文是沼泽形成、发育和演化的决定性因素.目前,沼泽水位的监测仍然以实地观测为主,需要花费大量的人力和物力.以洪河国家级自然保护区为研究区,利用2007年6?10月星载相控阵L波段合成孔径雷达(phase array type L-band synthetic aperture radar,L-band PALSAR)数...

关 键 词:水位变化量  沼泽  差分干涉测量技术  干涉相干系数  精度验证

Monitoring of Relative Variation of Water Level of Marshes in Honghe National Nature Reserve Using DInSAR Technique
FU Bolin,LAN Feiwu,DENG Tengfang,LI Ying,HE Hongchang,FAN Donglin,GAO Ertao,YANG Gao. Monitoring of Relative Variation of Water Level of Marshes in Honghe National Nature Reserve Using DInSAR Technique[J]. Wetland Science, 2021, 19(1): 27-39
Authors:FU Bolin  LAN Feiwu  DENG Tengfang  LI Ying  HE Hongchang  FAN Donglin  GAO Ertao  YANG Gao
Affiliation:(College of Geomatics and Geoinformation,Guilin University of Technology,Guilin 541004,Guangxi Zhuang Autonomous Region,P.R.China;Key Laboratory of Wetland Ecology and Environment,Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,Changchun 130102,Jilin,P.R.China)
Abstract:Hydrological situation determines the formation,development and evolution of the wetlands.At present,field observation still has been a main approach for monitoring water level change of the wetlands,which usually need to spend a lot of manpower and material resources.In this paper,the technique of differential interferometry synthetic aperture radar(DInSAR)was utilized to extract the phase of surface deformation of the marshes in Honghe National Nature Reserve using L-band PALSAR images from June to October in 2007,C-band Sentinel-1A SAR images from June to October in 2015.The relative water level variation was calculated in this study,the empirical estimation formulas of water level variation were provided based on remote sensing technique,and the annual water-level variation was monitored in the study area.This paper explored the differences of interferometric coherence of shallow water marshes and deep water marshes during different periods.Variance and regression analysis were used to implement accuracy assessment and significance test of water level variation using empirical estimation formulas and field measurement from three scales of hydrological observation stations,shallow water marshes and deep water marshes,respectively.The results showed that growth phases and cluster spatial patterns of vegetation had an effect on the interferometric coherence of the marshes.The interferometric coherence of study area from August to October was better than that from June to July.The interferometric coherence of shallow water marshes was higher than that of deep water marshes,and the interferometric coherence coefficients of shallow water marshes were 10%-35%more than those of deep water marshes.The water level variation of marshes obtained by DInSAR techniquein agreement with field measurement.The larger ones of water level variation in the shallow water marshes were from June to July and from September to October,the differennce between the mmaximum and the minimum of water level was over 0.7 m.
Keywords:variation of water level  marsh  differential interferometry synthetic aperture radar  interferometric coherent coefficients  accuracy validation
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