Assessing scientific and industry grade SWIR airborne imaging spectrometers for CH4 mapping

Rebecca D.P.M. Scafutto; Harald van der Werff; Wim H. Bakker; Freek van der Meer; Carlos Roberto de Souza Filho

doi:10.1109/IGARSS47720.2021.9554544

Assessing scientific and industry grade SWIR airborne imaging spectrometers for CH4 mapping

Rebecca D.P.M. Scafutto^*, Harald van der Werff, Wim H. Bakker, Freek van der Meer, Carlos Roberto de Souza Filho

^*Corresponding author for this work

Faculty of Geo-Information Science and Earth Observation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

125 Downloads (Pure)

Abstract

This study focus on the evaluation of scientific and industry-grade hyperspectral airborne sensors for the mapping of methane (CH4) emissions in the SWIR range. An imaging dataset from areas with known CH4 emissions was processed using the classic matched filter technique, and a new CH4 index. The airborne sensors were evaluated based on sensor design (spectral sampling and band centers), effectiveness of image processing, and impact of the signal-to-noise ratio (SNR) on CH4 mapping. The gas plume was mapped only in the images acquired with scientific-grade sensors. Results demonstrated that superior performance could be achieved when the position of band centers are closely located to the center of diagnostic CH4 absorption features. The impact of SNR was examined using a noise simulation, adding white noise to simulate images with varying SNR levels. Results indicate that the noisier …

Original language	English
Title of host publication	2021 IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	1871-1874
Number of pages	4
ISBN (Electronic)	978-1-6654-0369-6, 978-1-6654-0368-9
ISBN (Print)	978-1-6654-4762-1
DOIs	https://doi.org/10.1109/IGARSS47720.2021.9554544
Publication status	Published - 16 Jul 2021
Event	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, Brussels, Belgium Duration: 12 Jul 2021 → 16 Jul 2021 https://igarss2021.com

Conference

Conference	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Abbreviated title	IGARSS 2021
Country/Territory	Belgium
City	Brussels
Period	12/07/21 → 16/07/21
Internet address	https://igarss2021.com

Keywords

2024 OA procedure

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/IGARSS47720.2021.9554544

ArticleFinal published version, 623 KBLicence: Taverne

Cite this

@inproceedings{267c374a7ede43e79a2c08fd90d8db69,

title = "Assessing scientific and industry grade SWIR airborne imaging spectrometers for CH4 mapping",

abstract = "This study focus on the evaluation of scientific and industry-grade hyperspectral airborne sensors for the mapping of methane (CH4) emissions in the SWIR range. An imaging dataset from areas with known CH4 emissions was processed using the classic matched filter technique, and a new CH4 index. The airborne sensors were evaluated based on sensor design (spectral sampling and band centers), effectiveness of image processing, and impact of the signal-to-noise ratio (SNR) on CH4 mapping. The gas plume was mapped only in the images acquired with scientific-grade sensors. Results demonstrated that superior performance could be achieved when the position of band centers are closely located to the center of diagnostic CH4 absorption features. The impact of SNR was examined using a noise simulation, adding white noise to simulate images with varying SNR levels. Results indicate that the noisier …",

keywords = "2024 OA procedure",

author = "Scafutto, {Rebecca D.P.M.} and {van der Werff}, Harald and Bakker, {Wim H.} and {van der Meer}, Freek and {de Souza Filho}, {Carlos Roberto}",

year = "2021",

month = jul,

day = "16",

doi = "10.1109/IGARSS47720.2021.9554544",

language = "English",

isbn = "978-1-6654-4762-1",

pages = "1871--1874",

booktitle = "2021 IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)",

publisher = "IEEE",

address = "United States",

note = "2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, IGARSS 2021 ; Conference date: 12-07-2021 Through 16-07-2021",

url = "https://igarss2021.com",

}

Scafutto, RDPM, van der Werff, H , Bakker, WH , van der Meer, F & de Souza Filho, CR 2021, Assessing scientific and industry grade SWIR airborne imaging spectrometers for CH4 mapping. in 2021 IEEE International Symposium on Geoscience and Remote Sensing (IGARSS) . IEEE, Piscataway, NJ, pp. 1871-1874, 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium, 12/07/21. https://doi.org/10.1109/IGARSS47720.2021.9554544

Assessing scientific and industry grade SWIR airborne imaging spectrometers for CH4 mapping. / Scafutto, Rebecca D.P.M.; van der Werff, Harald ; Bakker, Wim H. et al.
2021 IEEE International Symposium on Geoscience and Remote Sensing (IGARSS) . Piscataway, NJ: IEEE, 2021. p. 1871-1874.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Assessing scientific and industry grade SWIR airborne imaging spectrometers for CH4 mapping

AU - Scafutto, Rebecca D.P.M.

AU - van der Werff, Harald

AU - Bakker, Wim H.

AU - van der Meer, Freek

AU - de Souza Filho, Carlos Roberto

PY - 2021/7/16

Y1 - 2021/7/16

N2 - This study focus on the evaluation of scientific and industry-grade hyperspectral airborne sensors for the mapping of methane (CH4) emissions in the SWIR range. An imaging dataset from areas with known CH4 emissions was processed using the classic matched filter technique, and a new CH4 index. The airborne sensors were evaluated based on sensor design (spectral sampling and band centers), effectiveness of image processing, and impact of the signal-to-noise ratio (SNR) on CH4 mapping. The gas plume was mapped only in the images acquired with scientific-grade sensors. Results demonstrated that superior performance could be achieved when the position of band centers are closely located to the center of diagnostic CH4 absorption features. The impact of SNR was examined using a noise simulation, adding white noise to simulate images with varying SNR levels. Results indicate that the noisier …

AB - This study focus on the evaluation of scientific and industry-grade hyperspectral airborne sensors for the mapping of methane (CH4) emissions in the SWIR range. An imaging dataset from areas with known CH4 emissions was processed using the classic matched filter technique, and a new CH4 index. The airborne sensors were evaluated based on sensor design (spectral sampling and band centers), effectiveness of image processing, and impact of the signal-to-noise ratio (SNR) on CH4 mapping. The gas plume was mapped only in the images acquired with scientific-grade sensors. Results demonstrated that superior performance could be achieved when the position of band centers are closely located to the center of diagnostic CH4 absorption features. The impact of SNR was examined using a noise simulation, adding white noise to simulate images with varying SNR levels. Results indicate that the noisier …

KW - 2024 OA procedure

U2 - 10.1109/IGARSS47720.2021.9554544

DO - 10.1109/IGARSS47720.2021.9554544

M3 - Conference contribution

SN - 978-1-6654-4762-1

SP - 1871

EP - 1874

BT - 2021 IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

PB - IEEE

CY - Piscataway, NJ

T2 - 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021

Y2 - 12 July 2021 through 16 July 2021

ER -

Assessing scientific and industry grade SWIR airborne imaging spectrometers for CH4 mapping

Abstract

Conference

Keywords

UN SDGs

Access to Document

Fingerprint

Cite this