Mining Sequential Patterns from MODIS Time Series for Cultivated Area Mapping

被引：2

作者：

Pitarch, Yoann ^{[1
]}

Vintrou, Elodie ^{[2
]}

Badra, Fadi ^{[3
]}

Begue, Agnes ^{[2
,4
]}

Teisseire, Maguelonne ^{[3
,4
]}

机构：

[1] LIRMM CNRS UM2, Montpellier, France

[2] CIRAD, Montpellier, France

[3] Irstea, Montpellier, France

[4] TETIS, Montpellier, France

来源：

ADVANCING GEOINFORMATION SCIENCE FOR A CHANGING WORLD | 2011年 / 1卷

关键词：

D O I：

10.1007/978-3-642-19789-5_3

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

To predict and respond to famine and other forms of food insecurity, different early warning systems are using remote analyses of crop condition and agricultural production by using satellite-based information. To improve these predictions, a reliable estimation of the cultivated area at a national scale must be carried out. In this study, we developed a data mining methodology for extracting cultivated domain patterns based on their temporal behavior as captured in time-series of moderate resolution remote sensing MODIS images.

引用

页码：45 / 62

页数：18

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