Deriving time-dependent area model of Eichhornia crassipes growth using Alos and GPS data

Author

Ling Sun ; Zesheng Zhu

Author_Institution

Inst. of Agric. Econ. & Inf., JiangSu Acad. of Agric. Sci., Nanjing, China

fYear

2014

fDate

11-14 Aug. 2014

Firstpage

1

Lastpage

4

Abstract

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.

Keywords

agricultural products; agriculture; regression analysis; scheduling; Alos satellite images; Eichhornia crassipes growth; GPS data; Global Positioning System; area-related logistic model; harvesting schedule; production management policy; remote sensing measurements; Accuracy; Area measurement; Biological system modeling; Data models; Global Positioning System; Logistics; Remote sensing; Eichhornia crassipes; growth area estimation; logistic model; phytoremediation; remote sensing experiment;

fLanguage

English

Publisher

ieee

Conference_Titel

Agro-geoinformatics (Agro-geoinformatics 2014), Third International Conference on

Conference_Location

Beijing

Type

conf

DOI

10.1109/Agro-Geoinformatics.2014.6910607

Filename

6910607