| 草地地上生物量估算模型研究进展 |
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| 引用本文： | 张雨欣,黄健熙,金云翔,王洁,赵圆圆,冯权泷,马钦.草地地上生物量估算模型研究进展[J].草地学报,2022,30(4):850-858. |
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| 作者姓名： | 张雨欣 黄健熙 金云翔 王洁 赵圆圆 冯权泷 马钦 |
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| 作者单位： | 1. 中国农业大学土地科学与技术学院, 北京 100083;2. 中国农业科学院农业资源与农业区划研究所, 北京 100081;3. 中国农业大学草业科学与技术学院, 北京 10083;4. 中国农业大学信息与电气工程学院, 北京 100083 |
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| 摘 要： | 草地地上生物量监测是合理利用草地资源,掌握草原生态演替过程的重要依据.但是,实时观测草地地上生物量信息需要耗费大量的人力物力,亟需借助遥感、数学等工具进行间接观测.本文系统阐述了国内外主流的草地地上生物量估算方法,包括遥感统计模型、草地生长模型、作物生长模型、光能利用率模型和生态过程模型等模型,以及遥感与机理模型耦合模...
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| 关 键 词： | 草地 地上生物量 估算模型 数据同化 遥感 |
| 收稿时间： | 2021-10-08 |
Estimation of Grasslands Aboveground Biomass:A Review |
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| ZHANG Yu-xin,HUANG Jian-xi,JIN Yun-xiang,WANG Jie,ZHAO Yuan-yuan,FENG Quan-long,MA Qin.Estimation of Grasslands Aboveground Biomass:A Review[J].Acta Agrestia Sinica,2022,30(4):850-858. |
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| Authors: | ZHANG Yu-xin HUANG Jian-xi JIN Yun-xiang WANG Jie ZHAO Yuan-yuan FENG Quan-long MA Qin |
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| Institution: | 1. College of Land Science and Technology, China Agricultural University, Beijing 100083, China;2. Institute of Agricultural Resources and Regional Planning, CAAS, Beijing 100081, China;3. College of Grassland Science and Technology, China Agricultural University, Beijing 100083, China;4. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China |
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| Abstract: | The monitoring of grassland aboveground biomass is an important basis for the rational utilization of grassland resources and understanding of the grassland ecological succession process.However,real-time observation of grassland aboveground biomass requires a lot of manpower and material resources,so it is urgent to use remote sensing,mathematics,and other indirect observation methods.This review systematically concluded the domestic and foreign methods of grassland aboveground biomass estimation including statistical models and mechanism models such as grassland growth models,crop growth models,light use efficiency models,and ecological process models for grassland aboveground biomass estimation.We summarized the characteristics and applicable conditions of the current models,and the relevant scientific concepts and strategies in researches.By reviewing researches on agricultural remote sensing data assimilation meeting the realistic requirements of grassland yield estimation,this review presents a less popular approach of estimating grassland yield based on the remote sensing data assimilation method,which provides a large-scale and high-precision way on grassland growth simulation. |
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| Keywords: | Grassland Aboveground biomass Estimation model Data assimilation Remote sensing |
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