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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. 1st DESIS User Workshop, 28. Sep. - 01. Okt. 2021, Oberpfaffenhofen, Deutschland (online).

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Abstract

Disastrous wildfires, such as the ones occurring in New South Wales / Australia in 2019/20 or in California / USA in 2020, have gained wide recognition in the global media. Besides obvious effects, such as the loss of lives and property, wildfires also affect the global climate through carbon dioxide (CO2) emissions. Monitoring wildfires using satellite-based Earth Observation (EO) imagery has become an essential tool for wildfire management and mitigation. The assessment of burnt areas through remote sensing imagery is usually based on a combination of information of either the red / NIR (near infrared) or the NIR / SWIR (short wave infrared) domain. This is done by utilizing a normalized difference index such as the NDVI (Normalized difference vegetation index), or the NBR (Normalized Burn Ratio), often in their differential variants. The wavelengths of the available spectral bands are, however, determined by the utilized sensor, and may not be optimal for the specific task of burnt area derivation. Hyperspectral data, however, allows the utilization of specific wavelengths best suited for a given task. The presented study analyses to what extent an automatic burnt area processing chain can profit from the additional spectral information available in data of the DESIS hyperspectral instrument.

Item URL in elib:https://elib.dlr.de/144382/
Document Type:Conference or Workshop Item (Speech)
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:July 2021
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Burnt area mapping, DESIS, Hyperspectral imagery, NDVI, Burn Severity, Active Fire
Event Title:1st DESIS User Workshop
Event Location:Oberpfaffenhofen, Deutschland (online)
Event Type:Workshop
Event Dates:28. Sep. - 01. Okt. 2021
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 - Geoproducts and systems, services
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Nolde, Michael
Deposited On:13 Oct 2021 13:07
Last Modified:13 Oct 2021 13:07

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