Assessment of the potential use of ICESat-2 data for bathymetric mapping of small lakes of Kazakhstan

A. Mukhamedina, D. Abiyeva, K. M. Kulebayev
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Abstract

Lake bathymetry is of great importance for water resources management and hydrological modeling. Bathymetric mapping of lakes was predominantly conducted with the use of highly-priced methods such as airborne lidars, active imaging sonars, multibeam echosounders. With the advancements in GIS and emergence of remotely sensed data new approaches for bathymetry extraction were developed. However, despite a high motivation to obtain bathymetric information for small lakes from remotely sensed data, there is a lack of reliable methods that can be implemented under various climate conditions and on a wide scale. In this paper several remote-sensing-based methods for bathymetry mapping of small lakes are discussed. The new Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) data was used to extract bathymetric information on three small lakes of Kazakhstan. The assessment of ICESat-2 for lake bathymetry extraction was conducted using field measurements as the validation data.
评估ICESat-2数据在哈萨克斯坦小湖泊测深制图方面的潜在用途
湖泊水深测量对水资源管理和水文模拟具有重要意义。湖泊的水深测绘主要使用昂贵的方法,如机载激光雷达、主动成像声纳、多波束回声测深仪。随着地理信息系统的发展和遥感数据的出现,开发了新的水深提取方法。然而,尽管从遥感数据中获得小湖泊的水深信息的动机很高,但缺乏可在各种气候条件下广泛实施的可靠方法。本文讨论了几种基于遥感的小湖泊测深制图方法。新的冰、云和陆地高程卫星2号(ICESat-2)数据被用于提取哈萨克斯坦三个小湖泊的水深信息。利用实测数据作为验证数据,对ICESat-2湖泊测深提取效果进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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