Study on calculating methods of forest fire area for dynamic disaster assessment based on infrared image

Tian, Si; Wang, Yong; Cai, Tongchen

doi:10.1117/12.2285847

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2020

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“…This study will focus on the satellite data, with the time range between 1st of June 2019 to 30th of November 2019. In this study, the dataset is a long format (instead of wide) due to longitudinal analysis of coordinate points across times [11,12]. The author has used excel to preview the data and used StataMP 14 to manage many rows inefficiently [13][14][15].…”

Section: Methodsmentioning

confidence: 99%

Mapping data on Indonesia’s worst forest and land fires of palm oil cultivation lands

Frimawaty

2020

E3S Web Conf.

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During the last semester of 2019, Indonesia was hit by major forest and land fires in Sumatera and Kalimantan. The culprit of a large number of smokes were palm oil cultivation lands. This study uses data collected from Aqua and Terra satellite of Nasa to visualize the hotspots’ severity, causing some provinces to become smoky. The severe hotspots were located on Riau, West Kalimantan, and Central Kalimantan through visualization density. The hotspots detected in this study vary from 300 to 468 degrees Fahrenheit, shown by the brightness of visualized colors on the map. This study also found that the forest and land forest fires have reached its peak during August 2019.

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Section: Methodsmentioning

confidence: 99%

Mapping data on Indonesia’s worst forest and land fires of palm oil cultivation lands

Frimawaty

2020

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

Study on calculating methods of forest fire area for dynamic disaster assessment based on infrared image

Cited by 1 publication

References 6 publications

Mapping data on Indonesia’s worst forest and land fires of palm oil cultivation lands

Mapping data on Indonesia’s worst forest and land fires of palm oil cultivation lands

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