全球环境变化与风险评估

应用遥感技术模拟净初级生产力的尺度效应研究进展

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  • 1. 辽宁师范大学海洋经济与可持续发展研究中心,大连 116029;
    2. 辽宁师范大学城市与环境学院,大连 116029
卫亚星(1969-),男,博士,青海湟源人,主要从事遥感和GIS的应用研究.E-mail: wyx9585@sina.com

收稿日期: 2009-08-01

  修回日期: 2009-12-01

  网络出版日期: 2010-04-24

基金资助

教育部人文社会科学重点研究基地项目基金资助(08JJD790142);辽宁省教育厅人文社会科学研究项目(2007T095).

A Review on Researching Scale Effect of Net Primary Productivity Based on Remote Sensing

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  • 1. Center for Marine Economic and Sustainable Development, Liaoning Normal University, Dalian 116029, China.
    2. College of Urban and Environmental Science, Liaoning Normal University, Dalian 116029, China

Received date: 2009-08-01

  Revised date: 2009-12-01

  Online published: 2010-04-24

摘要

采用遥感技术估算地表植被净初级生产力(NPP),已经成为模拟NPP的主要发展方向.遥感技术以及数据处理能力的迅速发展和基于遥感观测生理生态理论研究的进展使大尺度生态系统格局和过程的定量、动态观测成为可能.多种卫星传感器提供了丰富的多尺度对地观测数据,从而形成了不同空间分辨率的影像数据层次体系,使得从定量遥感出发的NPP估算必然存在多尺度的问题.NPP遥感估算模型以不同分辨率的遥感数据(代表不同的研究尺度)作为输入参数时,得到的NPP模拟值差异明显.为了提高NPP的估算精度,需要充分认识不同分辨率的遥感数据对NPP估算结果的影响差异,即NPP的尺度效应问题.本文介绍了遥感尺度效应研究进展,多分辨率遥感数据监测NPP变化的多尺度研究进展,以及NPP估算尺度效应问题的研究进展.并分析了应用遥感技术研究NPP尺度效应的发展趋势.

本文引用格式

卫亚星,王莉雯 . 应用遥感技术模拟净初级生产力的尺度效应研究进展[J]. 地理科学进展, 2010 , 29(4) : 471 -477 . DOI: 10.11820/dlkxjz.2010.04.012

Abstract

Remote sensing is often used to simulate net primary productivity (NPP) of vegetation on the surface land. It has become an important direction of simulating NPP. With the rapid development of data process capability of remote sensing technology and physiology-ecology research based on remote sensing observations , dynamic quantitative observations of large scale ecosystem pattern and process have become possible. Multi-source satellite sensors have sent abundant multi-scale earth observing data, and images level system with various resolutions has been made. Therefore, simulating NPP derived from quantitative remote sensing has multi-scale problems. When remote sensing data of various resolutions are input in the NPP model as parameters, the simulated NPP values as outputs of the NPP model will be obviously different. In order to improve the precision of simulating NPP, the effect of simulated NPP results from remote sensing data derived at different resolutions should be fully studied, and that is the scale effects of the NPP model. In the paper, study examples of scale effect of remote sensing are discussed. Research cases of monitoring NPP distribution variation using multi-resolution remote sensing data and recent research progresses of scale effect of simulating NPP are also presented. In addition, future trend of researching scale effect of NPP by remote sensing is also discussed in detail.

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