基于Free Search的植被叶面积指数Logistic模型研究  被引量:2

A Logistic Model of Vegetation Leaf Area Index Calibrated by Free Search

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作  者:朱伟峰 王斌 杨军明 ZHU Wei-feng1, WANG Bin2, YANG Jun-ming2(1. Water Conservancy Management Center of Heilongjiang Province, Harbin 150040, China; :2. College of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, Chin)

机构地区:[1]黑龙江省农田水利管理中心,哈尔滨150040 [2]东北农业大学水利与土木工程学院,哈尔滨150030

出  处:《节水灌溉》2018年第7期94-97,103,共5页Water Saving Irrigation

基  金:国家重点研发计划项目课题(2016YFC0400101);国家自然科学基金项目(51009026);农业部农业水资源高效利用重点实验室开放课题资助项目(2015002)

摘  要:针对利用归一化植被指数NDVI反演的植被叶面积指数LAI时间分辨率不足的问题,对传统Logistic模型进行了改进,并引入自由搜索(Free Search,FS)算法率定模型参数,建立了一种能够模拟植被逐日LAI的Logistic模型。首先,以NOAA-AVHRR提供的月NDVI作为反演植被LAI的基础数据,采用简单生物圈模型(Si B2)反演不同土地覆被类型下的植被月LAI;其次,借鉴传统Logistic模型模拟作物干物质的思路建立了一种改进的Logistic模型,并将FS单个动物每步探查行走的位置向量作为模型参数值,利用FS的动物群体迁移行为识别改进Logistic模型的最优参数,从而研究改进Logistic模型对植被月LAI的模拟效果。呼兰河流域的应用结果表明,利用FS识别参数的改进Logistic模型对呼兰河流域6种植被的月LAI模拟效果较好,为模拟植被LAI的逐日变化过程提供了一种新方法。Aiming at the problem that the estimation of leaf area index( LAI) requires multi-temporal normalized difference vegetation index( NDVI),the traditional Logistic model is developed to simulate the daily process of vegetation LAI,which is calibrated by Free Search( FS)algorithm. Firstly,the monthly LAI of land cover types is estimated by use of monthly NOAA-AVHRR NDVI data and simple biosphere model( Si B2). Secondly,drawing on the idea of crop dry matter simulated by the traditional Logistic model,taking the location vector of an animal from FS as a set of parameter values,a developed Logistic model is presented,in which the parameters is calibrated using FS animal population migration behavior so as to study the model simulation result about LAI of deferent vegetation types. The results of the application in Hulan River basin show that the developed Logistic model calibrated by FS has achieved a good result,which provides a new method for simulation of daily process of LAI.

关 键 词:叶面积指数 土地覆被 LOGISTIC模型 自由搜索 

分 类 号:S27[农业科学—农业水土工程] TV93[农业科学—农业工程]

 

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