Agda Primaraniyanti, Ichsan Ridwan, Sudarningsih Sudarningsih
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摘要

摘要:森林和土地火灾在印度尼西亚是一个非常严重的问题,特别是在具有可持续发展潜力的KSP拉瓦巴唐班尤。NASA-FIRMS(美国国家航空航天局-资源管理系统火灾信息)创建的热点可以指示森林和陆地火灾。本研究的目的是分析近10年(2009-2018年)热点的数量和密度,以及热点与ONI和降雨量的相关性。本研究采用空间分析、时间序列分析、Pearson相关分析等方法,结合已发布的热点、降雨、ONI等数据。结果表明,各区域热点密度条件均集中在Banjar Regency的Cintapuri Darussalam和Tapin Regency的Binuang。实时分析显示,2009-2018年期间的热点数量在9月份达到最高点。热点与降水数据的Pearson相关分析值为-0.224,表明两者之间的关系非常弱,呈反比关系。ONI数据与降雨量的相关性为-0.066,表明两者之间的相关性弱于之前的相关性,且呈反比关系。
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Analisis Data Hotspot di Kawasan Strategis Provinsi (KSP) Rawa Batang Banyu Provinsi Kalimantan Selatan Tahun 2009–2018
ABSTRACT− Forest and land fires are a very serious issue in Indonesia, especially in KSP Rawa Batang Banyu which has the potential to experience sustainable development. Hotspots created by NASA-FIRMS (National Aeronautics and Space Administration - Fire Information for Resource Management System) can indicate forest and land fires. The purpose of this study is to analyze the number and density of hotspots with the correlation between hotspots and rainfall with ONI and rainfall in the last 10 years (2009-2018). This study uses Spatial analysis, Time Series Analysis, Pearson Correlation analysis, with hotspot, rainfall, and ONI data that have been released. As a result, the hotspot density conditions in each region were concentrated in Cintapuri Darussalam, Banjar Regency and Binuang, Tapin Regency. Real-Time Analysis shows the highest number of hotspots in the 2009-2018 period reached its highest point in September. Pearson correlation analysis between hotspot and rainfall data shows a value of -0.224 which indicates that the relationship is very weak and inversely proportional. The correlation between ONI data and rainfall shows a value of -0.066 which indicates that the relationship is weaker than the previous correlation and also inversely proportional.
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