Assessing vegetation function with imaging spectroscopy

JA Gamon, B Somers, Z Malenovský… - Surveys in …, 2019 - Springer
Healthy vegetation function supports diverse biological communities and ecosystem
processes, and provides crops, forest products, forage, and countless other benefits …

[HTML][HTML] Reviewing the Spectral Variation Hypothesis: Twenty years in the tumultuous sea of biodiversity estimation by remote sensing

M Torresani, C Rossi, M Perrone, LT Hauser… - Ecological …, 2024 - Elsevier
Twenty years ago, the Spectral Variation Hypothesis (SVH) was formulated as a means to
link between different aspects of biodiversity and spatial patterns of spectral data (eg …

Remote sensing of terrestrial plant biodiversity

R Wang, JA Gamon - Remote Sensing of Environment, 2019 - Elsevier
Biodiversity is essential to healthy ecosystem function, influencing productivity and
resilience to disturbance. Biodiversity loss endangers essential ecosystem services and …

Assessing spring phenology of a temperate woodland: A multiscale comparison of ground, unmanned aerial vehicle and Landsat satellite observations

EF Berra, R Gaulton, S Barr - Remote sensing of environment, 2019 - Elsevier
The monitoring of forest phenology in a cost-effective manner, at a fine spatial scale and
over relatively large areas remains a significant challenge. To address this issue, unmanned …

The spatial sensitivity of the spectral diversity–biodiversity relationship: an experimental test in a prairie grassland

R Wang, JA Gamon, J Cavender‐Bares… - Ecological …, 2018 - Wiley Online Library
Remote sensing has been used to detect plant biodiversity in a range of ecosystems based
on the varying spectral properties of different species or functional groups. However, the …

Remote sensing of biodiversity: Soil correction and data dimension reduction methods improve assessment of α-diversity (species richness) in prairie ecosystems

H Gholizadeh, JA Gamon, AI Zygielbaum… - Remote Sensing of …, 2018 - Elsevier
Hyperspectral data, with their detailed spectral information at different wavelengths, offer
multiple ways to assess biodiversity. One approach, known as the “spectral variation …

Harnessing plant spectra to integrate the biodiversity sciences across biological and spatial scales

J Cavender-Bares, JA Gamon, SE Hobbie… - American Journal of …, 2017 - JSTOR
Leaf reflectance itself integrates within-and between-species differences in morphology,
foliar chemistry, life history strategies, and responses to environmental variation. As a …

Detecting prairie biodiversity with airborne remote sensing

H Gholizadeh, JA Gamon, PA Townsend… - Remote Sensing of …, 2019 - Elsevier
This study assessed the application of airborne imaging spectroscopy to monitor α-diversity
in restored grassland plots. The study site was located within the Central Platte River …

Seasonal variation in the NDVI–species richness relationship in a prairie grassland experiment (Cedar Creek)

R Wang, JA Gamon, RA Montgomery, PA Townsend… - Remote Sensing, 2016 - mdpi.com
Species richness generally promotes ecosystem productivity, although the shape of the
relationship varies and remains the subject of debate. One reason for this uncertainty lies in …

[HTML][HTML] A Global 250-m Downscaled NDVI Product from 1982 to 2018

Z Ma, C Dong, K Lin, Y Yan, J Luo, D Jiang, X Chen - Remote Sensing, 2022 - mdpi.com
Satellite-based normalized difference vegetation index (NDVI) time series data are useful for
monitoring the changes in vegetation ecosystems in the context of global climate change …