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Article

21 Citations

10,553 Views

19 Pages

Hyperspectral Data Simulation (Sentinel-2 to AVIRIS-NG) for Improved Wildfire Fuel Mapping, Boreal Alaska

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

Remote Sens.2021, 13(9), 1693;https://doi.org/10.3390/rs13091693

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27 April 2021

Alaska has witnessed a significant increase in wildfire events in recent decades that have been linked to drier and warmer summers. Forest fuel maps play a vital role in wildfire management and risk assessment. Freely available multispectral datasets...

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Article

15 Citations

3,756 Views

16 Pages

Evaluation of Simulated AVIRIS-NG Imagery Using a Spectral Reconstruction Method for the Retrieval of Leaf Chlorophyll Content

Bhagyashree Verma,
Rajendra Prasad,
Prashant K. Srivastava,
Prachi Singh,
Anushree Badola and
Jyoti Sharma

Remote Sens.2022, 14(15), 3560;https://doi.org/10.3390/rs14153560

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25 July 2022

The leaf chlorophyll content (LCC) is a vital parameter that indicates plant production, stress, and nutrient availability. It is critically needed for precision farming. There are several multispectral images available freely, but their applicabilit...

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