Pixel-Based Smoke Detection with Neural Network

Ramasubramanian, M ; Kaulfus, A ; Gurung, I ; Freitag, B ; Maskey, M ; Ramachandran, R

关键词: BIOMASS BURNING;    CARDIOVASCULAR SYSTEM;    EXPOSURE;    REAL TIME OPERATION;    SPECTRAL REFLECTANCE;    OPTICAL THICKNESS;    REMOTE SENSING;    SMOKE;    AIR POLLUTION;    MACHINE LEARNING;    GOES 16;    NEURAL NETS;   

RP-ID  :  MSFC-E-DAA-TN72650

学科分类：地球科学(综合)

美国|英语

来源: NASA Technical Reports Server

【 摘 要 】

Exposure to biomass burning has been linked to respiratory and cardiovascular illnesses in humans. Traditional satellite based visual and multispectral smoke detection methods are not scalable to capabilities of new generations of remote sensing platforms. We develop a scalable, deep learning based detection model capable of identifying smoke pixels using GOES-16 shortwave reflectance data and present a operational web-based tool to visualize smoke predictions.