基于遥感信息的农作物生物量估算研究进展
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  • 英文篇名:Review of Estimating Crop Biomass based on Remote Sensing Information
  • 作者:王渊博 ; 德俊 ; 李淑娟 ; 武文娟 ; 任红艳
  • 英文作者:Wang Yuanbo;Feng Dejun;Li Shujuan;Wu wenjuan;Ren hongyan;Department of Remote Sensing Information Engineering,Faculty of Geosciences and Environment Engineering,Southwest Jiaotong University;State key Laboratory of Resource and Environmental Information System,Institute of Geographic Sciences and Natural Resources Research;
  • 关键词:农作物 ; 生物量 ; 遥感 ; 估算
  • 英文关键词:Crop;;Biomass;;Remote sensing;;Estimating methods
  • 中文刊名:YGJS
  • 英文刊名:Remote Sensing Technology and Application
  • 机构:西南交通大学地球科学与环境工程学院遥感信息系;中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室地球数据科学与共享研究室;
  • 出版日期:2016-06-15
  • 出版单位:遥感技术与应用
  • 年:2016
  • 期:v.31;No.149
  • 基金:国家重大科技专项项目“新能源评估研究示范”课题(30-Y30B13-9003-14/16-04);; 国家973计划项目“高分辨率遥感数据精处理和空间信息智能转化的理论与方法”(2012CB719900)共同资助
  • 语种:中文;
  • 页:YGJS201603007
  • 页数:8
  • CN:03
  • ISSN:62-1099/TP
  • 分类号:66-73
摘要
科学准确地估算农作物生物量是生物质能源开发利用战略的必要前提。随着遥感技术的不断发展,可获取遥感数据的时间、空间、光谱分辨率都在不断提高,为长时间跨度和大空间尺度的农作物生物量估算提供了有力支撑。对目前农作物生物量估算方法进行了分析总结,重点阐述了基于遥感信息的农作物生物量估算方法,并根据基于模型的不同将其分为4类(基于植被指数、净初级生产力、作物生长模型、作物表面模型的农作物生物量估算方法),对每一类方法的原理进行了详细论述,并就其在国内外典型的应用情况进行了分析,在此基础上总结了各种估算方法的优势及存在问题,展望了该领域未来主要的发展方向。
        The prerequisite for the strategy of developing and utilizing bio-energy is scientific and accuracy estimating the biomass of crop.With the development of remote sensing technology,the temporal,spatial and spectral resolution of remote sensing data can be used for estimating crop biomass,which are constantly improving.And that provides a strong support for estimating the biomass of crop in the big time span and large spatial scale.At the same time,the quantity of crop biomass must be better estimated.In the present paper,the researches on crop biomass estimation were summarized and analysed,and focused on discussing the part of using the remote sensing information.On that basis,the methods of estimating the crop biomass were classified four categories according to the models they based on,including based on Vegetation Index,Net Primary Productivity,Crop Growth Model and Crop Surface Models estimating crop biomass methods,the principles and methods of the four categories were explained detailedly,and then discussed their advantage and deficiency by analyzing the typical application of every methods.Finally,between the different data and models of cross validation were discussed,and the new research directions in this area are suggested.
引文
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