A novel method to simulate AVIRIS-NG hyperspectral image from Sentinel-2 image for improved vegetation/wildfire fuel mapping, boreal Alaska-Reference-Cited by-同舟云学术

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

Published:2022-08 Issue: Volume:112 Page:102891
ISSN:1569-8432
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Badola Anushree,Panda Santosh K.,Roberts Dar A.,Waigl Christine F.,Jandt Randi R.,Bhatt Uma S.

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference55 articles.

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2. Potential of hyperspectral AVIRIS-NG data for vegetation characterization, species spectral separability, and mapping;Ahmad;Appl. Geomatics,2021

3. Alaska Vegetation and Wetland Composite, 2019. Alaska Vegetation and Wetland Composite | Alaska Conservation Science Catalog [WWW Document]. URL https://accscatalog.uaa.alaska.edu/dataset/alaska-vegetation-and-wetland-composite (accessed 11.4.21).

4. Biophysical and Biochemical Sources of Variability in Canopy Reflectance;Asner;Remote Sens. Environ.,1998

5. Badola, A., Padalia, H., Belgiu, M., Prabhakar, M., Verma, A., 2019. Mapping Tree Species Richness of Tropical Forest using Airborne Hyperspectral Remote Sensing.

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