The Study and Application of Crop Yield Response Model under CO<sub>2</sub> Multiplication  Based on Remote Sensing Information and Crop Photosynthesis

ZHANG Jia\|hua\+1; WANG Chang\|yao\+2; FU Cong\|bin\+1

doi:10.11834/jrs.20000109

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The Study and Application of Crop Yield Response Model under CO₂ Multiplication Based on Remote Sensing Information and Crop Photosynthesis
Issue 1, Pages: 46-50(2000)
Published：2000
DOI： 10.11834/jrs.20000109
稿件说明：

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[1]张佳华,王长耀,符淙斌.CO_2倍增下遥感-光合作物产量响应模型的研究与应用[J].遥感学报,2000(01):46-50+84. DOI： 10.11834/jrs.20000109.

ZHANG Jia\|hua\+1, WANG Chang\|yao\+2, FU Cong\|bin\+1. The Study and Application of Crop Yield Response Model under CO₂ Multiplication Based on Remote Sensing Information and Crop Photosynthesis[J]. Journal of Remote Sensing, 2000, (1): 46-50. DOI： 10.11834/jrs.20000109.

摘要

首先给出ＣＯ２倍增下遥感光合作物产量的概念模型，之后分析未受ＣＯ２倍增的遥感光合作物产量估测模型；在考虑ＣＯ２倍增对作物产量的影响后，对影响干物质累积的作物光合速率的模型进行修正，进而修正遥感光合作物产量估测模型。建立ＣＯ２倍增下作物产量响应模型，求取各参数，并在ＣＯ２倍增下对我国华北地区冬小麦产量响应进行填图，表明模型的估测结果有良好的可比性。

Abstract

In the paper

considering the vegetation parameters of remote sensing information and crop eco\|physiological characteristics

the crop yield estimation model was firstly set up based on the variables derived from NOAA\|AVHRR data and crop photosynthesis. Among them

photosynthetic active radiation （PAR）

CPAP （Crop Photosynthetic Assimilation Potential

which reflects crop photosynthetic time and area）

and photosynthetic rate were calculated from remote sensing information and meteorological data. In the typical research area of North China Plain

the developed model was applied to regional crop yield distributions

it shows that the model has better precision. Secondly

taking into account the impact of CO\-2 doubling to agroecosystem and its influences on winter wheat

the crop yield estimating model based on remote sensing data and plant photosynthesis was further developed

and the regional crop yield under CO\-2 doubling was estimated using the model. The further changes of crop yield distributions were given using the developed model.