极地研究 ›› 2026, Vol. 38 ›› Issue (1): 52-62.DOI: 10.13679/j.jdyj.20240071

• 研究论文 • 上一篇    下一篇

京师一号卫星在格陵兰遥感制图中的应用

赵天成1,2, 章影1, 张思诗1, 刘旭颖3, 张宝钢1, 何佳欢4   

  1. 1北京师范大学地理科学学部遥感科学国家重点实验室, 北京 100875;
    2南京晓庄学院环境科学学院, 江苏 南京 210038;
    3绍兴文理学院人工智能研究院, 浙江 绍兴 312000;  
    4呼伦贝尔市气象局生态与农业气象中心, 内蒙古 呼伦贝尔 021008
  • 收稿日期:2024-07-31 修回日期:2024-11-17 出版日期:2026-03-31 发布日期:2026-04-27
  • 通讯作者: 张宝钢
  • 基金资助:
    国家自然科学基金项目资助

Application of BNU-1 satellite in remote sensing mapping of Greeland

ZHAO Tiancheng1,2, ZHANG Ying1, ZHANG Sishi1, LIU Xuying3, ZHANG Baogang1, HE Jiahuan4   

  1. 1State Key Laboratory of Remote Sensing Science, Faculty of Geographical Sciences, Beijing Normal University, Beijing 100875, China;
    2 School of Environmental Science, Nanjing Xiaozhuang University, Nanjing 210038, China;
    3 Institute of Artificial Intelligence, Shaoxing University, Shaoxing 312000, China;
    4Ecological and Agrometeorological Center of Hulunbuir Meteorological Bureau, Hulun Buir 021008, China
  • Received:2024-07-31 Revised:2024-11-17 Online:2026-03-31 Published:2026-04-27

摘要: 京师一号(BNU-1)小卫星是我国首颗专门面向极地环境变化监测的低成本遥感小卫星。卫星采用了独特的时空分辨率组合, 并针对极地高返照率、高动态的成像特点, 运用了在轨变曝光等成像技术, 使其在极地环境监测方面展现出优势。本研究基于BNU-1卫星获取的2020年及2021年的全格陵兰遥感数据, 采用分段拉伸技术, 完成了两期全格陵兰遥感影像镶嵌图。在目视效果和灰度层次丰富度方面, 本方法均优于常用的线性拉伸方法, 能更好地保留地表特征信息, 并有效增强极地影像中各类地物特征的辨识度。两期数据几何分辨率达到80 m, 为格陵兰环境变化研究提供了较高的逐年分辨率遥感数据, 是国产低成本遥感小卫星应用于极地环境监测领域的全新尝试。

关键词: 京师一号, 极地遥感, 格陵兰制图, 分段拉伸

Abstract:

BNU-1 is China’s first low-cost remote sensing satellite specifically designed for monitoring polar environmental changes. It is also the first experimental satellite of the Three Poles Scientific Experiment. The satellite adopts a unique combination of temporal and spatial resolutions, and utilizes on-orbit variable exposure imaging technology to address the challenges posed by high albedo and dynamic imaging characteristics in polar regions, giving it an advantage in polar environmental monitoring. In this study, based on remote sensing data from BNU-1 acquired in 2020 and 2021 over Greenland, a segmentation stretching techniques was applied to create two mosaic mapping of whole Greenland. Compared to commonly used linear stretching methods, this approach demonstrates superior visual effects and more grayscale levels, better preserving surface feature information while effectively highlighting various land features in polar imagery. With a geometric resolution of 80 m for both datasets, these annually high-resolution remote sensing data provide a new attempt using domestically developed low-cost remote sensing satellites for studying environmental changes in Greenland.

Key words: BNU-1, polar remote sensing, mapping of Greenland, segmentation stretching