青藏高原2017年冰川数据-TPG2017（V1.0）

本数据集是2017年青藏高原冰川数据，使用了210景Landsat8 OLI卫星多光谱遥感数据，时间从2013年至2018年，90%来源于2017年,85%的Landsat8 OLI数据成像于冬季。冰川数据是青藏高原净冰川覆盖范围，不包括表碛物覆盖部分。数据格式是TIFF，可以为青藏高原冰川变化、冰川水文研究提供基础数据支持。
数据内容： Value是冰川斑块在系统中自动生成的编码。
格网单元：30m
数据的投影方式：Albers等积圆锥投影。
数据加工方法：基于210景Landsat8 OLI卫星多光谱遥感数据，校正、镶嵌为假彩色合成影像（RGB:654），采用人工目视解译方法，参考波段比值法结果，结合SRTM DEM V4.1数据与Google Earth和HJ1A/1B卫星同一年不同季节的影像，剔除了山体阴影、季节性积雪的影响，参考我国第一期和第二期冰川编目数据，剔除了非冰川区的陡崖、裸露基岩等，综合提取净冰川专题矢量数据，不包括冰川末端位置不清的表碛物覆盖区域，冰川边界数字化精度为半个像元（15m）。通过对比分析，可知基于多数据源、参考多方法结果、综合专家经验知识人-机互动方法提取获得的山地冰川数据更准确。具体数据提取方法详见参考文献：
Ye, Q., J.Zong,L.Tian et al. (2017). Glacier changes on the Tibetan Plateau derived from Landsat imagery: mid-1970s – 2000 – 2013. Journal of Glaciology,63(238), 273-87. DOI:10.1017/jog.2016.137。
原始遥感资料数据精度：30m
数据质量控制措施：冰川边界数字化精度控制在半个像元之内（15m）。
项目来源：中国科学院战略性先导科技专项（A类）（XDA19070302）, 第二次青藏高原综合科学考察研究资助（2019QZKK0202），国家自然科学基金项目（41530748, 91747201）、中国科学院“十三五”信息化建设专项资助(XXH13505-06)。

This dataset contains glacier data over the Tibetan Plateau collected in 2017. A total of 210 Landsat 8 OLI multispectral remote sensing scenes were used, with acquisition dates ranging from 2013 to 2018; 90% of the scenes were captured in 2017, and 85% of the Landsat 8 OLI data were acquired in winter. The glacier data represent the net glacier coverage over the Tibetan Plateau, excluding areas covered by supraglacial debris. The data are stored in TIFF format, providing fundamental data support for research on glacier changes and glacial hydrology over the Tibetan Plateau.

Data Content: The "Value" field stores the automatically generated codes for glacier patches in the system.
Grid cell size: 30 m.
Projection: Albers equal-area conic projection.

Data Processing Methods: Based on the 210 Landsat 8 OLI multispectral remote sensing scenes, radiometric correction and mosaicking were performed to generate false-color composite images (RGB: 654). Visual interpretation was then conducted, with reference to results from the band ratio method, combined with SRTM DEM V4.1 data, Google Earth imagery, and multi-seasonal images from HJ-1A/1B satellites acquired in the same year to eliminate the impacts of terrain shadow and seasonal snow cover. Referencing the first and second national glacier inventories of China, non-glacial areas such as cliffs and exposed bedrock were excluded. Thematic vector data of net glacier coverage were comprehensively extracted, excluding supraglacial debris-covered areas with unclear glacier termini. The digitization accuracy of glacier boundaries reaches half a pixel (15 m).

Through comparative analysis, it is confirmed that mountain glacier data extracted via a human-machine interactive method integrating multiple data sources, multi-method results, and expert experience are more accurate. For detailed data extraction methods, please refer to the following reference: Ye, Q., Zong, J., Tian, L. et al. (2017). Glacier changes on the Tibetan Plateau derived from Landsat imagery: mid-1970s – 2000 – 2013. *Journal of Glaciology*, 63(238), 273-287. DOI: 10.1017/jog.2016.137.

Original Remote Sensing Data Resolution: 30 m.
Data Quality Control Measures: The digitization accuracy of glacier boundaries is controlled within half a pixel (15 m).

Funding Sources: Strategic Priority Research Program (Class A) of the Chinese Academy of Sciences (XDA19070302), the Second Tibetan Plateau Scientific Expedition and Research Program (2019QZKK0202), the National Natural Science Foundation of China (41530748, 91747201), and the "13th Five-Year Plan" Informatization Construction Special Project of the Chinese Academy of Sciences (XXH13505-06).

搜集汇总

背景与挑战

背景概述

该数据集是2017年青藏高原冰川覆盖数据，基于210景Landsat8 OLI卫星遥感影像，采用人工目视解译和多数据源综合方法提取，空间分辨率为30米，精度控制在15米内，主要用于冰川变化和水文研究。数据格式为TIFF，大小为11.32 GB，共享方式为开放获取，并提供详细引用和项目资助信息。