Status and application of advanced airborne hyperspectral imaging technology: A review

J Jia, Y Wang, J Chen, R Guo, R Shu, J Wang - Infrared Physics & …, 2020 - Elsevier
Hyperspectral imaging technology has evolved for over thirty years and is widely used for
geologic map**, environmental monitoring, vegetation analysis, atmospheric …

An overview of ABoVE airborne campaign data acquisitions and science opportunities

CE Miller, PC Griffith, SJ Goetz, EE Hoy… - Environmental …, 2019 - iopscience.iop.org
Abstract The 2017 Arctic Boreal Vulnerability Experiment Airborne Campaign (AAC) was
one of the largest, most complex airborne science experiments conducted by NASA's Earth …

[HTML][HTML] Quantifying methane point sources from fine-scale satellite observations of atmospheric methane plumes

DJ Varon, DJ Jacob, J McKeever… - Atmospheric …, 2018 - amt.copernicus.org
Anthropogenic methane emissions originate from a large number of relatively small point
sources. The planned GHGSat satellite fleet aims to quantify emissions from individual point …

Satellite observations of atmospheric methane and their value for quantifying methane emissions

DJ Jacob, AJ Turner, JD Maasakkers… - Atmospheric …, 2016 - acp.copernicus.org
Methane is a greenhouse gas emitted by a range of natural and anthropogenic sources.
Atmospheric methane has been measured continuously from space since 2003, and new …

Improving quantification of methane point source emissions from imaging spectroscopy

Z Pei, G Han, H Mao, C Chen, T Shi, K Yang… - Remote Sensing of …, 2023 - Elsevier
The matched filter (MF) method is widely used for hyperspectral imaging spectrometers to
detect and quantify methane point sources due to its high computational efficiency …

Airborne methane remote measurements reveal heavy-tail flux distribution in Four Corners region

C Frankenberg, AK Thorpe, DR Thompson… - Proceedings of the …, 2016 - pnas.org
Methane (CH4) impacts climate as the second strongest anthropogenic greenhouse gas
and air quality by influencing tropospheric ozone levels. Space-based observations have …

Optimal estimation for imaging spectrometer atmospheric correction

DR Thompson, V Natraj, RO Green… - Remote sensing of …, 2018 - Elsevier
We present a new method for atmospheric correction of remote Visible Shortwave Infrared
(VSWIR) imaging spectroscopy. Our approach fits a combined model of atmospheric …

Semantic segmentation of methane plumes with hyperspectral machine learning models

V Růžička, G Mateo-Garcia, L Gómez-Chova… - Scientific Reports, 2023 - nature.com
Methane is the second most important greenhouse gas contributor to climate change; at the
same time its reduction has been denoted as one of the fastest pathways to preventing …

Automated lithological map** by integrating spectral enhancement techniques and machine learning algorithms using AVIRIS-NG hyperspectral data in Gold …

C Kumar, S Chatterjee, T Oommen, A Guha - International Journal of …, 2020 - Elsevier
In this study, we proposed an automated lithological map** approach by using spectral
enhancement techniques and Machine Learning Algorithms (MLAs) using Airborne Visible …

Quantifying strong point sources emissions of CO2 using spaceborne LiDAR: Method development and potential analysis

T Shi, G Han, X Ma, Z Pei, W Chen, J Liu… - Energy Conversion and …, 2023 - Elsevier
Accurate reporting of point source emissions of CO 2 is fundamental to addressing climate
change. Currently, bottom-up verification methods based on inventory statistics face …