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Deriving Time-dependent Area Model of Eichhornia Crassipes Growth Using Alos and GPS Data

文献类型： 外文期刊

作者： Sun, Ling 1 ; Zhu, Zesheng 2 ;

作者机构： 1.JiangSu Acad Agr Sci, Inst Agr Econ & Informat, Nanjing 210014, Jiangsu, Peoples R China

2.Naval Command Coll, Res Dept, Nanjing 210016, Jiangsu, Peoples R China

关键词： Eichhornia crassipes;phytoremediation;growth area estimation;logistic model;remote sensing experiment

期刊名称：THIRD INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS 2014)

ISSN： 2334-3168

年卷期： 2014 年

页码：

收录情况： SCI

摘要： The aim of this study was to investigate the use of a logistic model to determine the growth properties of Eichhornia crassipes (EC), in particular the area of EC. The area of EC was measured using Alos satellite images and GPS. The measurements were shown to lead to an accurate area-related logistic model of EC. This indicates that there is a possibility of obtaining the growth area of EC from a logistic model with remote sensing measurements and suggests that it is possible to make up the production management policy and precise harvesting schedule for EC with the area-related logistic model.

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