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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Vydané v:	International journal of applied earth observation and geoinformation Ročník 112; s. 102891
Hlavní autori:	Badola, Anushree, Panda, Santosh K., Roberts, Dar A., Waigl, Christine F., Jandt, Randi R., Bhatt, Uma S.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.08.2022 Elsevier
Predmet:	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
On-line prístup:	Získať plný text
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