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Utilization of hyperspectral remote sensing imagery for improving burnt area mapping accuracy

Nolde, Michael and Plank, Simon Manuel and Riedlinger, Torsten (2021) Utilization of hyperspectral remote sensing imagery for improving burnt area mapping accuracy. Remote Sensing, 13, pp. 1-11. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs13245029. ISSN 2072-4292.

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Official URL: https://www.mdpi.com/2072-4292/13/24/5029

Abstract

Wildfires pose a direct threat when occurring close to populated areas. Additionally, their significant carbon and climate feedbacks represent an indirect threat on a global, long-term scale. Monitoring and analyzing wildfires is therefore a crucial task to increase the understanding of interconnections between fire and ecosystems, in order to improve wildfire management activities. This study investigates the suitability of 232 different red / near-infrared band combinations based on hyperspectral imagery of the DESIS sensor with regard to burnt area detection accuracy. It is shown that the selection of wavelengths greatly influences the detection quality, and that especially the utilization of lower near-infrared wavelengths increases the yielded accuracy. For burnt area analysis based on the Normalized Difference Vegetation Index (NDVI), the optimal wavelength range has been found to be 660 - 670 nm and 810 - 835 nm for the red band and near-infrared band, respectively.

Item URL in elib:https://elib.dlr.de/146944/
Document Type:Article
Title:Utilization of hyperspectral remote sensing imagery for improving burnt area mapping accuracy
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Nolde, Michaelmichael.nolde (at) dlr.dehttps://orcid.org/0000-0002-6981-9730
Plank, Simon ManuelSimon.Plank (at) dlr.dehttps://orcid.org/0000-0002-5793-052X
Riedlinger, Torstentorsten.riedlinger (at) dlr.deUNSPECIFIED
Date:December 2021
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:13
DOI :10.3390/rs13245029
Page Range:pp. 1-11
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:Burnt Area Mapping, DESIS, Hyperspectral Imagery, NDVI, Burn Severity, Active Fire
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Nolde, Michael
Deposited On:15 Dec 2021 12:00
Last Modified:10 Jan 2022 10:46

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