Using geometric and radiative transfer models to estimate vegetation properties for wildfire prevention and mitigation

Glenn Healey; Kunchao Xu

doi:10.1117/12.2677184

20 October 2023 Using geometric and radiative transfer models to estimate vegetation properties for wildfire prevention and mitigation

Glenn Healey, Kunchao Xu

Author Affiliations +

Proceedings Volume 12688, Imaging Spectrometry XXVI: Applications, Sensors, and Processing; 1268806 (2023) https://doi.org/10.1117/12.2677184
Event: SPIE Optical Engineering + Applications, 2023, San Diego, California, United States

Abstract

Live fuel moisture and chlorophyll content plays an important role in predicting wildfire ignition and propagation probabilities. We combine geometric and radiative transfer models to characterize the spectral properties of vegetation regions that are observed in visible through short-wave infrared (VNIR/SWIR) hyperspectral images over a wide range of conditions. Leaf spectral reflectance models that depend on moisture and chlorophyll content are combined with MODTRAN atmospheric models to predict sensor radiance spectra. These spectra are used as input to machine learning methods to generate algorithms for estimating fuel characteristics. We demonstrate properties of the models and algorithms using a database of model remote sensing data. We show that this approach provides accurate estimates of vegetation moisture and chlorophyll content.

Citation Download Citation

Glenn Healey and Kunchao Xu "Using geometric and radiative transfer models to estimate vegetation properties for wildfire prevention and mitigation", Proc. SPIE 12688, Imaging Spectrometry XXVI: Applications, Sensors, and Processing, 1268806 (20 October 2023); https://doi.org/10.1117/12.2677184

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available