青藏高原雪、冰和环境数据集专题 最新来稿(未评审) 版本 ZH1
下载
1989–2020年基于Landsat的东帕米尔高原冰川运动速度数据集
A dataset of glacier velocity in the Eastern Pamir based on Landsat from 1989 to 2020
: 2021 - 01 - 24
: 2021 - 01 - 25
171 0 0
摘要&关键词
摘要:冰川运动与冰川物质平衡、冰川厚度、温度状态、冰川水力特征等密切相关。在气候变化的影响下,冰川运动速度控制冰量输送变化从而引起冰川长度变化、面积变化、厚度变化的响应,因此对冰川运动长时间监测至关重要。传统测杆数据无法获取区域尺度范围的冰川运动速度数据,遥感技术的快速发展为冰川运动遥感监测提供了丰富的数据源。东帕米尔高原发育大量冰川,是下游喀什地区水资源源区,对未来社会经济发展、生态文明建设都具有重要意义。本研究收集了1989–2020年Landsat 5、7、8影像,基于特征匹配法提取了东帕米尔高原冰川运动数据集(GeoTIFF格式,32位浮点型),空间分辨率为240 m或者480 m,冰川运动速度误差最高为±0.051 m d-1。为了保留原始过程数据,本数据集除了冰川运动速度数据(glacV)外,还保留了南北向位移(NS)、东西向位移(EW)、信噪比(SNR)、整幅图像的运动速度值(V)。本数据集可以作为冰川研究的本底调查资料,也可以作为冰川动力学模型的输入,为冰川变化及预测、冰川资源利用及灾害防治研究提供基础数据支撑。
关键词:东帕米尔;冰川运动速度;Landsat;冰川变化;特征匹配法
Abstract & Keywords
Abstract: Glacier movement is closely related to mass balance, thickness, temperature state, and hydraulic characteristics of a glacier. With climate change, the glacier velocity is the key factor to control the advance and retreat of a glacier, the results in the response to changes in the length, area, and thickness of the glacier. Therefore, long-term monitoring of glacier movement is essential. The method based on the stakes can obtain the data with high accuracy, but it has limitations in time and space, with the rapid development of remote sensing technology, glacier velocity based on remote sensing data has a wealth of data sources. A large number of glaciers developed in the Eastern Pamir, which is the source of water resources in the lower Kashgar Prefecture, and have been of great significance to the future social and economic development and ecological civilization construction. This study collected Landsat 5, 7, and 8 images from 1989 to 2020, and extracted the Eastern Pamir glacier movement velocity dataset (GeoTIFF format, 32-bit floating-point) based on the feature offset-tracking method, with a spatial resolution of 240 m or 480 m, and the maximum error of glacier movement velocity is ±0.051 m d-1. In order to retain the original process data, in addition to the glacier movement velocity data (glacV), this dataset also retains the north-south displacement (NS), east-west displacement (EW), signal-to-noise ratio (SNR) and the movement velocity value of the entire image (V). This dataset can be used as basic survey data for glacier research, as well as the input to glacier dynamics models, which provide data support for glacier change and prediction, glacier resource utilization and disaster prevention research.
Keywords: Eastern Pamir; glacier surface velocity; Landsat; glacier changes; Feature Offset-Tracking Method
稿件与作者信息
张震
Zhen Zhang
zhangzh@lzb.ac.cn
黄丹妮
Danni Huang
陆艺杰
Yijie Lu
张莎莎
Shasha Zhang
出版历史
参考文献列表中查看
中国科学数据
csdata