地理科学进展 ›› 2012, Vol. 31 ›› Issue (7): 885-894.doi: 10.11820/dlkxjz.2012.07.007

• 植被与土壤 • 上一篇    下一篇

草原植被长势遥感监测研究进展

于海达, 杨秀春, 徐斌, 金云翔, 高添, 李金亚   

  1. 中国农业科学院农业资源与农业区划研究所, 北京100085
  • 收稿日期:2012-01-01 修回日期:2012-05-01 出版日期:2012-07-25 发布日期:2012-07-25
  • 通讯作者: 杨秀春(1975-),女,副研究员。E-mail:yangxc@caas.net.cn E-mail:yangxc@caas.net.cn
  • 作者简介:于海达(1986-),女,硕士研究生,主要从事草地遥感研究。E-mail:yuhaida5920@163.com
  • 基金资助:

    国家自然科学基金项目(40701055);国家高技术研究发展计划项目(2006AA10Z242, 2008AA121805);中央级公益性科研院所专项资金项目(2012IARRP20)。

The Progress of Remote Sensing Monitoring for Grassland Vegetation Growth

YU Haida, YANG Xiuchun, XU Bin, JIN Yunxiang, GAO Tian, LI Jinya   

  1. Institute of Agricultural Resources and Regional Planning, CAAS, Beijing 100085, China
  • Received:2012-01-01 Revised:2012-05-01 Online:2012-07-25 Published:2012-07-25

摘要: 草原植被长势监测是草原监测的重要领域, 它能从宏观上揭示草原的生长状况及其动态变化, 从而为草原科学管理提供快速、准确的参考依据。目前长势监测主要利用遥感的方法, 即选择归一化植被指数NDVI作为反映植被生长状况的指标, 方法有同期对比法、植被生长过程曲线法、直接监测法。本文在总结草原长势监测进展与方法的同时, 指出了其中存在的问题——监测中过分依赖NDVI、不区分草原类型而使用同一种方法进行监测;对未来发展方向做了展望——监测中选用适宜植被指数、监测方法, 分区域、分类型的监测长势, 提高监测精度, 将长势监测与草原产草量、生产力结合, 为牧民生产提供指导。

关键词: 草原, 长势, 遥感监测, 植被指数

Abstract: Grassland vegetation growth monitoring is an important field of grassland monitoring, which macroscopically reveals growth status and dynamic changes of grassland, providing instantaneous and accurate references to scientific grassland management. At present, remote sensing is widely applied in growth monitoring, which means choosing NDVI as the index to reflect vegetation growth condition. This method includes periodical comparative, vegetation growth process curve and direct monitoring. Direct monitoring is more complex in using because it needs build relationships to plant physiology and ecology parameters; vegetation growth process curve and direct monitoring is simple, but they cannot classify the growth of vegetation; periodical comparative not only reflects the space of growth, it also reflects growth change in time series, facilitates contrast in many years. This paper summaries the methods and progress of grassland growth monitoring at home and abroad. The main remote sensing data includes AVHRR, MODIS, microwave data and ultrasonic data, and foreign growth monitoring focuses on the production forecast and against disaster warning. Domestic growth monitoring pays more attention to periodical comparative and phenophase monitoring and does few studies on real time monitoring. Then the paper points out the existing problems of growth monitoring, such as over-dependence on NDVI and applying the same monitoring method without consideration about the grass types. The prospects come in the end that by choosing the appropriate vegetation index, monitoring methods and monitoring growth in different zones and types to improve the precision of monitoring, as well as combining growth monitoring with grassland plant yield and grassland productivity will hopefully provide nomadic production with scientific guidance. Besides, this paper introduces three key fields in vegetation growth, which are vegetation growth hierarchies, determination of key vegetation growth period and main influencing factors of growth. Temperature and precipitation are the main factors driving the growth of vegetation, and the role of precipitation is the most important one.

Key words: grassland, growth, remote sensing monitoring, vegetation index