2023年青藏高原冰湖编目数据集

冰湖是冰川消融过程中形成的典型水文地貌单元，近年来在全球高山和极地地区呈现快速扩张趋势。冰湖编目通过系统记录冰湖的空间位置、几何参数等信息，对理解冰川演化过程、气候变化响应、淡水资源评估及冰湖溃决洪水风险预警具有科学价值。针对冰湖潜在分布区划定尚存争议、冰湖遥感提取依赖人工目视解译等...

Glacial lakes are typical hydrological and geomorphological units formed during glacier ablation, and have undergone rapid expansion in global alpine and polar regions in recent years. Glacial lake inventory, which systematically records information including the spatial location and geometric parameters of glacial lakes, holds scientific significance for understanding glacial evolution processes, responses to climate change, freshwater resource assessment, and glacial lake outburst flood (GLOF) risk early warning. There remain controversial issues such as the delimitation of potential glacial lake distribution areas and the reliance of remote sensing extraction of glacial lakes on manual visual interpretation...

搜集汇总

背景与挑战

背景概述

该数据集是2023年青藏高原冰湖的详细编目结果，基于Sentinel-2 MSI遥感影像和Attention DeepLab V3+深度学习模型实现自动化提取，包含面积≥0.005 km²的冰湖共29089个，总面积2020.65 km²，主要分布在念青唐古拉山、东喜马拉雅山和横断山等区域。数据集系统记录了冰湖的空间位置、几何参数和类型（如非冰川接触湖、冰碛湖、冰面湖），为理解冰川演化、气候变化响应及冰湖溃决洪水风险预警提供了关键数据支撑。