FlexBRDF: A Flexible BRDF Correction for Grouped Processing of Airborne Imaging Spectroscopy Flightlines

2021 ◽  
Author(s):  
Natalie Queally ◽  
Zhiwei Ye ◽  
Ting Zheng ◽  
Adam Chlus ◽  
Fabian Schneider ◽  
...  
Keyword(s):  
Imaging Spectroscopy ◽  
Airborne Imaging

scholarly journals Imaging Spectroscopic Analysis of Biochemical Traits for Shrub Species in Great Basin, USA

2018 ◽  
Vol 10 (10) ◽  
pp. 1621 ◽  
Author(s):  
Yi Qi ◽  
Susan Ustin ◽  
Nancy Glenn
Keyword(s):  
Great Basin ◽  
Land Surface ◽  
Imaging Spectroscopy ◽  
Partial Least Square ◽  
Least Square ◽  
Partial Least Square Regression ◽  
Leaf Mass Per Area ◽  
Shrub Species ◽  
Biochemical Traits ◽  
Airborne Imaging

The biochemical traits of plant canopies are important predictors of photosynthetic capacity and nutrient cycling. However, remote sensing of biochemical traits in shrub species in dryland ecosystems has been limited mainly due to the sparse vegetation cover, manifold shrub structures, and complex light interaction between the land surface and canopy. In order to examine the performance of airborne imaging spectroscopy for retrieving biochemical traits in shrub species, we collected Airborne Visible Infrared Imaging Spectrometer—Next Generation (AVIRIS-NG) images and surveyed four foliar biochemical traits (leaf mass per area, water content, nitrogen content and carbon) of sagebrush (Artemesia tridentata) and bitterbrush (Purshia tridentata) in the Great Basin semi-desert ecoregion, USA, in October 2014 and May 2015. We examined the correlations between biochemical traits and developed partial least square regression (PLSR) models to compare spectral correlations with biochemical traits at canopy and plot levels. PLSR models for sagebrush showed comparable performance between calibration (R2: LMA = 0.66, water = 0.7, nitrogen = 0.42, carbon = 0.6) and validation (R2: LMA = 0.52, water = 0.41, nitrogen = 0.23, carbon = 0.57), while prediction for bitterbrush remained a challenge. Our results demonstrate the potential for airborne imaging spectroscopy to measure shrub biochemical traits over large shrubland regions. We also highlight challenges when estimating biochemical traits with airborne imaging spectroscopy data.

Drought response of urban trees and turfgrass using airborne imaging spectroscopy

2020 ◽  
Vol 240 ◽  
pp. 111646 ◽  
Author(s):  
David L. Miller ◽  
Michael Alonzo ◽  
Dar A. Roberts ◽  
Christina L. Tague ◽  
Joseph P. McFadden
Keyword(s):  
Imaging Spectroscopy ◽  
Urban Trees ◽  
Drought Response ◽  
Airborne Imaging

scholarly journals Comparative analysis of different retrieval methods for mapping grassland leaf area index using airborne imaging spectroscopy

2015 ◽  
Vol 43 ◽  
pp. 19-31 ◽  
Author(s):  
Clement Atzberger ◽  
Roshanak Darvishzadeh ◽  
Markus Immitzer ◽  
Martin Schlerf ◽  
Andrew Skidmore ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Imaging Spectroscopy ◽  
Area Index ◽  
Airborne Imaging

Airborne imaging spectroscopy to monitor urban mosquito microhabitats

2013 ◽  
Vol 137 ◽  
pp. 226-233 ◽  
Author(s):  
David R. Thompson ◽  
Manuel de la Torre Juárez ◽  
Christopher M. Barker ◽  
Jodi Holeman ◽  
Sarah Lundeen ◽  
...  
Keyword(s):  
Imaging Spectroscopy ◽  
Airborne Imaging

scholarly journals Monitoring of River Contamination Derived From Acid Mine Drainage Using Airborne Imaging Spectroscopy (HyMap Data, South-West Spain)

2014 ◽  
Vol 32 (1) ◽  
pp. 125-136 ◽  
Author(s):  
J. Buzzi ◽  
A. Riaza ◽  
E. García-Meléndez ◽  
V. Carrère ◽  
S. Holzwarth
Keyword(s):  
Acid Mine Drainage ◽  
Mine Drainage ◽  
Imaging Spectroscopy ◽  
River Contamination ◽  
Acid Mine ◽  
South West ◽  
Airborne Imaging
Sign in / Sign up

Export Citation Format

Share Document