Andrew E Suyker
Biographic Data
| ID | 6819848 |
|---|---|
| NAME | Andrew E Suyker |
| GIVEN NAMES | Andrew E |
| FAMILY NAME | Suyker |
| SIGNATURE | SUYKER A E |
| AFFILIATIONS | University of Nebraska–Lincoln |
| ORCID | 0000-0002-4394-1607 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
A physiological signal derived from sun-induced chlorophyll fluorescence quantifies crop physiological response to environmental stresses in the U.S. Corn Belt
Sun-induced chlorophyll fluorescence (SIF) measurements have shown unique potential for quantifying plant physiological stress. However, recent investigations found canopy structure and radiation largely control SIF, and physiological relevance of SIF remains yet to be fully understood. This study aims to evaluate whether the SIF-derived physiological signal improves quantification of crop responses to environmental stresses, by analyzing data at…
Radiance-based NIR v as a proxy for GPP of corn and soybean
Substantial uncertainty exists in daily and sub-daily gross primary production (GPP) estimation, which dampens accurate monitoring of the global carbon cycle. Here we find that near-infrared radiance of vegetation (NIR v,Rad ), defined as the product of observed NIR radiance and normalized difference vegetation index, can accurately estimate corn and soybean GPP at daily and half-hourly time scales, benchmarked with multi-year tower-based GPP at …
No prominent works on this page.
Radiance-based NIR v as a proxy for GPP of corn and soybean
Substantial uncertainty exists in daily and sub-daily gross primary production (GPP) estimation, which dampens accurate monitoring of the global carbon cycle. Here we find that near-infrared radiance of vegetation (NIR v,Rad ), defined as the product of observed NIR radiance and normalized difference vegetation index, can accurately estimate corn and soybean GPP at daily and half-hourly time scales, benchmarked with multi-year tower-based GPP at …
A physiological signal derived from sun-induced chlorophyll fluorescence quantifies crop physiological response to environmental stresses in the U.S. Corn Belt
Sun-induced chlorophyll fluorescence (SIF) measurements have shown unique potential for quantifying plant physiological stress. However, recent investigations found canopy structure and radiation largely control SIF, and physiological relevance of SIF remains yet to be fully understood. This study aims to evaluate whether the SIF-derived physiological signal improves quantification of crop responses to environmental stresses, by analyzing data at…
Agronomy (2 works) · Atmospheric sciences (2 works) · Environmental Science (2 works) · Photosynthesis (2 works) · Physics (2 works) · Plant Water Relations and Carbon Dynamics (2 works) · Remote Sensing in Agriculture (2 works) · Atmospheric and Environmental Gas Dynamics (1 work) · Biology (1 work) · Botany (1 work)