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
收藏
页码：324 / 331
页数：8
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