Challenges in satellite-based research on forest and land fires in Indonesia: frequent item set approach

被引：1

作者：

Syaufina, Lailan ^{[1
]}

Sitanggang, Imas Sukaesih ^{[2
]}

Erman, Lusi Maulana ^{[2
]}

机构：

[1] Bogor Agr Univ, Fac Forestry, Jl Lingkar Akad Kampus IPB Darmaga, Bogor 16680, Indonesia

[2] Bogor Agr Univ, Fac Math & Nat Sci, Jl Meranti Kampus IPB Darmaga, Bogor 16680, Indonesia

来源：

2ND INTERNATIONAL SYMPOSIUM ON LAPAN-IPB SATELLITE (LISAT) FOR FOOD SECURITY AND ENVIRONMENTAL MONITORING | 2016年 / 33卷

关键词：

forest fire; fire episode; satellite-based research; emission; text mining; Indonesia; SIMULATION;

D O I：

10.1016/j.proenv.2016.03.083

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

Forest fire research in Indonesia has been in increasing trend since 1982/1983- and 1997/1998-fire episodes. The first episode emphasized on fire impacts and the second episode has more research on emission and pollution. Satellite-based researches on fire are scattered and still limited. This study aimed to analyze fire satellite-based research aspects and challenges for the future. Text mining was applied to analyze selected international as well as national journals containing fire satellite-based research. The study revealed that there are three main research clusters: fire emission and pollution, fire detection, and fire danger and risk. (C) 2016 The Authors. Published by Elsevier B.V.

引用

页码：324 / 331

页数：8

共 28 条

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