基于REMA条带的南极冰架高分辨率表面高程变化反演

doi:10.11947/j.AGCS.2026.20260019

测绘学报 ›› 2026, Vol. 55 ›› Issue (6): 1031-1046.doi: 10.11947/j.AGCS.2026.20260019

• 大地测量学与导航 • 上一篇

基于REMA条带的南极冰架高分辨率表面高程变化反演

杨志文¹^,²(), 安璐¹^,²(), 孙雨洁¹^,², 李静¹^,², 周喆¹^,², 张俊杰¹^,², 郝彤¹^,²

^1.同济大学空间信息科学与可持续发展应用中心，上海　200092
^2.同济大学测绘与地理信息学院，上海　200092

收稿日期:2026-01-14 修回日期:2026-04-25 发布日期:2026-07-28
通讯作者: 安璐 E-mail:yangzhiwen@tongji.edu.cn;anlu2021@tongji.edu.cn
作者简介:杨志文（1998—），男，博士生，主要从事冰冻圈遥感、冰架底部融化与稳定性、卫星测高数据验证及应用等研究。E-mail：yangzhiwen@tongji.edu.cn
基金资助:
国家重点研发计划(2024YFF0808302);国家自然科学基金(42576273);中央高校基本科研专项基金;上海市基础特区研究计划

High-resolution surface elevation change inversion over Antarctic ice shelf using REMA strips

Zhiwen YANG¹^,²(), Lu AN¹^,²(), Yujie SUN¹^,², Jing LI¹^,², Zhe ZHOU¹^,², Junjie ZHANG¹^,², Tong HAO¹^,²

^1.Center for Spatial Information Science and Sustainable Development Applications, Tongji University, Shanghai 200092, China
^2.College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China

Received:2026-01-14 Revised:2026-04-25 Published:2026-07-28
Contact: Lu AN E-mail:yangzhiwen@tongji.edu.cn;anlu2021@tongji.edu.cn
About author:YANG Zhiwen (1998—), male, PhD candidate, majors in cryosphere remote sensing, ice shelf basal melting and stability, the validation and application of satellite altimetry data. E-mail: yangzhiwen@tongji.edu.cn
Supported by:
The National Key Research and Development Program of China(2024YFF0808302);The National Natural Science Foundation of China(42576273);The Fundamental Research Funds for the Central Universities of China;Shanghai Pilot Program for Basic Research

摘要/Abstract

摘要：

精确刻画冰架表面高程的连续变化对研究冰-海作用意义重大，但现有观测体系受限于卫星测高空间采样稀疏，且高分辨率光学影像在传统欧拉差分下易产生的地形平流伪信号。为此，本文提出了一套面向REMA光学立体条带数据的长时序、高分辨率的表面高程变化率反演方法。该方法利用ITS_LIVE流速场驱动物质点轨迹回溯，在CryoSat-2 Swath测高数据的绝对高程约束下建立拉格朗日时空匹配模型，从而有效抑制由冰流移动产生的几何伪信号。本文以Dotson冰架作为研究案例，基于2010—2022年间的REMA条带与多源卫星数据，采用“长期趋势叠加滑动窗口”的策略，重建了其50 m统一分析网格上的表面高程变化率时序结果。结果表明：①相比传统欧拉框架，本文方法使归一化中值绝对偏差（NMAD）降低了51.6%，明显减弱了高流速区的高程变化伪信号；②经ICESat-2 ATL06数据独立验证，长时序反演与近同时相单景对照的RMSE分别为4.64和2.97 m，证实了该框架的稳定性；③基于构建的变薄强度分级体系发现，强变薄区（<－1 m/a）高度集中于接地线及通道核心区（面积占9.2%），且Dotson融化通道中部呈现“先加速（2010—2016）、后趋缓（2016—2022）”的非线性演化，而接地线附近则表现为持续的减薄趋势。研究表明，在统一物理约束和拉格朗日框架下，REMA条带数据可用于构建连续的冰架表面高程变化率产品，从而为分析高流速冰架中与BMC相关的表面响应提供更精细的观测依据。

关键词: Dotson冰架, REMA, 拉格朗日框架, 表面高程变化率, 高分辨率时序重建

Abstract:

Precise delineation of continuous surface elevation changes on ice shelves is critical for understanding ice-ocean interactions. However, existing observation frameworks are constrained by the sparse spatial sampling of satellite altimetry and the topographic advection artifacts inherent to high-resolution optical imagery under traditional Eulerian differencing. To address this issue, this study proposes a long-term, high-resolution retrieval method for surface elevation change rates based on REMA optical stereo strips. The method uses ITS_LIVE velocity fields to drive material-point backtracking and establishes a Lagrangian spatiotemporal matching model under the absolute elevation constraints of CryoSat-2 Swath altimetry, thereby effectively suppressing geometric artifacts arising from ice-flow advection. Using the Dotson Ice Shelf as a case study, and based on REMA strips and multi-source satellite observations from 2010 to 2022, we reconstructed a time series of surface elevation change rates on a 50 m common analysis grid using a strategy that combines long-term trends with sliding windows. Results show that: ① compared with the traditional Eulerian framework, the proposed method reduces the core error metric (NMAD) by 51.6% and substantially weakens spurious elevation-change signals in fast-flowing regions; ② independent validation against ICESat-2 ATL06 data yields RMSEs of 4.64 m and 2.97 m for the long-term retrieval and near-contemporaneous single-strip comparison, respectively, confirming the stability of the framework; ③ based on the constructed thinning intensity classification system, intense thinning zones (<－1 m/a) are highly concentrated near the grounding line and channel core areas (accounting for 9.2% of the area); the central Dotson melt channel exhibits a nonlinear evolution of “acceleration (2010—2016) followed by deceleration (2016—2022)”, while the grounding-line vicinity shows a continuous thinning trend. These results indicate that, under unified physical corrections and a Lagrangian framework, REMA strip data can be used to construct continuous products of ice-shelf surface elevation change rates, thereby providing finer observational constraints for analyzing BMC-related surface responses in fast-flowing ice shelves.

Key words: Dotson ice shelf, REMA, Lagrangian framework, surface elevation change rate, high-resolution time-series reconstruction

中图分类号:

P228

杨志文, 安璐, 孙雨洁, 李静, 周喆, 张俊杰, 郝彤. 基于REMA条带的南极冰架高分辨率表面高程变化反演[J]. 测绘学报, 2026, 55(6): 1031-1046.

Zhiwen YANG, Lu AN, Yujie SUN, Jing LI, Zhe ZHOU, Junjie ZHANG, Tong HAO. High-resolution surface elevation change inversion over Antarctic ice shelf using REMA strips[J]. Acta Geodaetica et Cartographica Sinica, 2026, 55(6): 1031-1046.

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链接本文: http://xb.chinasmp.com/CN/10.11947/j.AGCS.2026.20260019

http://xb.chinasmp.com/CN/Y2026/V55/I6/1031

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参考文献 40

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年份	条带数量
2010—2011	5
2011—2012	0
2012—2013	8
2013—2014	27
2014—2015	11
2015—2016	17
2016—2017	20
2017—2018	33
2018—2019	12
2019—2020	15
2020—2021	8
2021—2022	10
总计	166

数据	mean/m	RMSE/m	NMAD/m	NMAD改善率/（%）
原始数据	－0.80	8.15	7.13	－
校正后数据	0.18	4.03	2.89	59.5

统计区域	统计指标	欧拉框架/m	拉格朗日框架/m	差异/m	指标降幅/（%）
全冰架范围	均值	1.23	0.86	0.37	30.1
	中位数	0.71	0.44	0.27	38.0
	中位数绝对偏差	0.62	0.30	0.32	51.6
	标准差	1.29	1.19	0.10	7.8
融化通道沿线	均值	1.50	0.86	0.64	42.7
	中位数	1.21	0.80	0.41	33.9
	中位数绝对偏差	0.88	0.35	0.51	60.2
	标准差	0.96	0.41	0.55	57.3

框架	全场统计特征		空间格局分布
框架	平均变化率/（m/a）	最大变薄率/（m/a）	强变薄区（<－1.0 m/a）	中度变薄区（[－1.0，－0.5）m/a）	稳定区（≥－0.5 m/a）
欧拉框架	－0.08±0.62	－14.29	5.5%（312.4 km²）	8.2%（466.7 km²）	86.3%（4 914.6 km²）
拉格朗日框架	－0.22±1.01	－14.99	9.2%（506.1 km²）	9.0%（491.4 km²）	81.8%（4 484.4 km²）

观测时段	冰架全域	通道剖线均值	区域1	区域2
2010—2011至2014—2015	－0.22±1.34	－1.04±0.84	－1.05±0.75	－1.50±1.45
2011—2012至2015—2016	－0.16±1.63	－1.18±1.50	－2.72±2.72	－1.64±1.59
2012—2013至2016—2017	－0.18±1.16	－1.19±0.92	－1.56±0.90	－1.94±1.39
2013—2014至2017—2018	－0.33±1.46	－1.22±0.93	－1.70±0.79	－1.96±1.41
2014—2015至2018—2019	－0.29±1.34	－1.17±0.92	－1.26±0.68	－2.25±1.33
2015—2016至2019—2020	－0.19±1.27	－0.97±0.80	－1.02±0.62	－1.90±1.13
2016—2017至2020—2021	－0.15±1.22	－0.87±0.74	－0.88±0.60	－1.71±1.06
2017—2018至2021—2022	－0.14±1.09	－0.73±0.75	－0.54±0.42	－1.74±1.04

基于REMA条带的南极冰架高分辨率表面高程变化反演

High-resolution surface elevation change inversion over Antarctic ice shelf using REMA strips

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