Výsledky vyhledávání - "Andersen Panjaitan"

Spatial Ground-Level Particulate Matter (PM10) in Indonesia using Machine Learning

Autor: Donaldi S Permana, Yuaning Fajariana, Kharisma Aprilina, Danang E Nuryanto, Utoyo A Linarka, Andersen Panjaitan, Nelly F Riama, Ardhasena Sopaheluwakan, M Rizky Munggaran, Dwikorita Karnawati

Large-scale forest fires often occur in Indonesia and affect air quality and human health. The effect of forest fire on air quality quantified by rising PM10 concentration on Indonesia Meteorological, Climatological and Geophysical Agency (BMKG) obse

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e76f9980d6fc9d2903253a9e45994b19
https://doi.org/10.5194/egusphere-egu22-8225

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Utilization of Infrared and Water Vapor Channel Combination in Making the Modification of RGB Composite for Nighttime Convective Cloud Monitoring (Case Study of Tropical Cyclone Cempaka and Dahlia)

Autor: Bony Septian Pandjaitan, Andersen Panjaitan, Sugeng Indarto, Asri Susilawati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::944f26521f14329737a997c6a59687a9

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Forest fires detection in Indonesia using satellite Himawari-8 (case study: Sumatera and Kalimantan on august-october 2015)

Autor: Fatkhuroyan, Andersen Panjaitan, Trinah Wati

Publikováno v: IOP Conference Series: Earth and Environmental Science. 54:012053

Forest fires in Indonesia are serious problem affecting widely in material losses, health and environment. Himawari-8 as one of meteorological satellites with high resolution 0,5 km x 0,5 km can be used for forest fire monitoring and detection. Combi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::570031452b1b1b234e3058c623ea0b02
https://doi.org/10.1088/1755-1315/54/1/012053

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