资源科学 ›› 2020, Vol. 42 ›› Issue (10): 1932-1943.doi: 10.18402/resci.2020.10.10

• 理论与方法 • 上一篇    下一篇

草地资源立体观测研究进展与理论框架

付晶莹1,2(), 彭婷1,2, 江东1,2, 林刚1,2(), 边鹏3, 韩昊4   

  1. 1. 中国科学院地理科学与资源研究所,北京 100101
    2. 中国科学院大学资源与环境学院,北京 100049
    3. 中国地质调查局呼和浩特自然资源综合调查中心,呼和浩特 010010
    4. 中国地质调查局西宁自然资源综合调查中心,西宁 810000
  • 收稿日期:2020-08-05 修回日期:2020-09-17 出版日期:2020-10-25 发布日期:2020-12-25
  • 通讯作者: 林刚
  • 作者简介:付晶莹,女,吉林磐石人,副研究员,研究方向为资源环境遥感监测、“三生”空间统筹优化。E-mail: fujy@igsnrr.ac.cn
  • 基金资助:
    中国科学院战略性先导科技专项(A类)(XDA23000000);国家自然科学基金项目(41971250);中央高校基本科研业务费项目(2019QD01);全国自然资源要素综合观测体系规划与部署项目(DD20208063)

Research progress and theoretical framework of multidimensional observation of grassland resources

FU Jingying1,2(), PENG Ting1,2, JIANG Dong1,2, LIN Gang1,2(), BIAN Peng3, HAN Hao4   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    3. Hohhot Natural Resources Comprehensive Survey Center, China Geological Survey, Hohhot 010010, China
    4. Xining Natural Resources Comprehensive Survey Center, China Geological Survey, Xining 810000, China
  • Received:2020-08-05 Revised:2020-09-17 Online:2020-10-25 Published:2020-12-25
  • Contact: LIN Gang

摘要:

真实准确地掌握草地基础数据,不仅是指导草地合理利用的基础,更是政府科学决策的重要依据。“星-空-地”一体化遥感观测技术应用为草地要素监测和草地植被生长过程的时空多维度、立体观测提供了新思路。本文通过梳理草地资源观测技术、要素指标与功能服务研究进展,围绕草地资源立体监测网络、要素指标体系以及应用服务需求与支撑决策等方面,提出了中国草地资源立体观测网络、指标要素与应用服务体系构建的技术思路。本文认为,未来应加强草地资源立体观测大数据平台建设,推进星基、空基遥感监测与地面监测大数据的深度融合与应用,提升对全国、区域、局域草地的自动化、全天候、立体化观测能力和多源数据获取能力,建立科学合理的草地资源智慧管理和决策支持系统工具,更好地为各级政府及相关部门制定草原保护制度建设及草业发展规划、决策及实施措施提供科学依据。

关键词: “星-空-地”一体化观测, 全要素监测, 草地资源, 应用服务, 辅助决策

Abstract:

Acquisition of accurate basic data of grassland resources is not only the foundation for the rational use of grassland, but also an important basis for government decision making. Satellite-aerial-ground based dynamic observation system provides new ways for the multidimensional spatiotemporal observation of the growth process and other parameters of grasslands. Based on the research progress on technologies, indicators, and application services of grassland resources observation, this study provided a technical framework for the multidimensional observation network and its indicators system. We propose that the grassland observation system should strengthen the construction of the three-dimensional monitoring big data platform, and pay more attention to data fusion and data application of satellite- and aerial-based remote sensing monitoring data and ground monitoring data, aiming to improve the ability for automated, all-weather, three-dimensional observation and data acquisition at the national, regional, and local scales. The results of this study may provide a reference for the protection and construction of grasslands and the planning, decision making, and implementation of grassland and grazing industrial development by building a scientific and reasonable grassland management and decision support system.

Key words: satellite-aerial-ground based dynamic observation system, all-element observation, grassland resource, application server, decision support