A novel method to simulate AVIRIS-NG hyperspectral image from Sentinel-2 image for improved vegetation/wildfire fuel mapping, boreal Alaska

•- Vegetation mapped from simulated AVIRIS-NG image offers greater details and accuracy.•− 33% improvement in the new vegetation map accuracy.•- A novel approach to generate improved vegetation maps for Alaska’s boreal domain. Detailed vegetation maps are one of the primary inputs for forest and wil...

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Bibliographic Details
Published in:	International journal of applied earth observation and geoinformation Vol. 112; p. 102891
Main Authors:	Badola, Anushree, Panda, Santosh K., Roberts, Dar A., Waigl, Christine F., Jandt, Randi R., Bhatt, Uma S.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.08.2022 Elsevier
Subjects:	Alaska algorithms Betula Boreal forest cost effectiveness Endmembers forests fuels gravel Hyperspectral data hyperspectral imagery image analysis Picea Simulation spatial data Spectral library spectrometers spectroradiometers UPDM vegetation maps wildfires wildland fire management Alaska Boreal forest Endmembers Spectral library UPDM Hyperspectral data Simulation
ISSN:	1569-8432, 1872-826X
Online Access:	Get full text
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