| 摘要: |
| 冰川高程变化是冰川形态变化的重要特征之一，能为推算冰川体积变化及物质平衡提供基本参数。利用Sentinel-1A雷达数据，与SRTM数据进行差分干涉，得到2000—2018年哈尔里克山冰川高程变化结果。为进一步提高监测结果的可靠性，以裸地区域的高程变化量作为系统误差修正值，对冰川高程变化结果进行第一次优化。由于差分干涉结果受地形影响较大，为降低地形因素对高程变化的影响，分析地形因子与高程变化标准差之间的关系，去除标准差过大的冰川区域，提高冰川高程变化可靠性，对冰川高程变化结果进行第二次优化，并在此基础上进行精度评定。结果表明：过去18年来，哈尔里克山冰川高程平均下降(8.74±0.14) m；分析冰川高程变化的空间差异性，发现西北部冰川高程减少程度较东南部小；分析冰川高程变化与海拔的关系，发现总体上冰川高程下降程度随海拔升高而减小。 |
| 关键词: 差分干涉测量技术 冰川高程变化 裸地 地形因子 |
| DOI：10.7515/JEE192054 |
| CSTR： |
| 分类号: |
| 基金项目:国家自然科学基金（41601364）；河南理工大学博士基金（B2016-11）；河南省科技攻关项目（172102210280） |
|
| Glacier surface elevation change on the Karlik Mountain from 2000 to 2018 by remote sensing method |
|
JI Weiqian, DU Weibing, WANG Shuangting, ZHENG Xifang
|
|
School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China
|
| Abstract: |
| Background, aim, and scope Glacier surface elevation change is one of the important characteristics of glacier morphology, which provides correction parameters for calculating glacier volume change and material balance, so as to evaluate water resources. Karlik Mountain was selected as the study area because it is typical glacial area in arid or semi-arid area with important water supply status. Materials and methods The differential synthetic aperture radar interferometry method was used to survey the glacial surface elevation of Karlik Mountain by Sentinel-1A radar data in 2018 and SRTM DEM data in 2000. Results The change of glacier elevation from 2000 to 2018 was obtained, and it was found that most regions of the Karlik Mountain glacier show decreasing trend, except a very small area. The average elevation change of Karlik Mountain glacier in the past 18 years is −9.42 m. Discussion Results were refined two times because of systematic errors introduced by sensors and surroundings. The elevation change of the bare land area was used to correct systematic errors as the first refinement. The relationship between topography and the standard deviation of elevation change was analyzed to remove glacier region with large standard deviation as the second refinement. The final elevation change result was obtained by interpolating and filling the data of the glacier area, it was calculated that the refined average elevation change of the glacier was −8.74 m. On the basis of these results, the accuracy and spatial analysis of glacier elevation change were carried out. Conclusions The precision of refined glacier elevation increased by 0.4 m, and the error of glacier elevation change after refining was 0.14 m. Due to the influence of monsoon and mountain trend, the extent of glacier elevation decrease in the northwest is slower than that in the southeast. Recommendations and perspectives Due to the lack of the field data, there is no corresponding data for comparison, and the accuracy of the data has not been deeply discussed. In the future, we will continue to study the relationship between glacier elevation change with temperature and precipitation, and its impact on water resources. |
| Key words: differential synthetic aperture radar interferometry method glacier elevation change bare land terrain factor |
