Zoe Pierrat
Biographic Data
| ID | 7992940 |
|---|---|
| NAME | Zoe Pierrat |
| GIVEN NAMES | Zoe |
| FAMILY NAME | Pierrat |
| SIGNATURE | PIERRAT Z |
| AFFILIATIONS | University of California, Los Angeles |
| ORCID | 0000-0002-6726-2406 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Forests for forests
Remote sensing is a powerful tool for understanding and scaling measurements of plant carbon uptake via photosynthesis, gross primary productivity (GPP), across space and time. The success of remote sensing measurements can be attributed to their ability to capture valuable information on plant structure (physical) and function (physiological), both of which impact GPP. However, no single remote sensing measure provides a universal constraint on …
Evaluating photosynthetic activity across Arctic-Boreal land cover types using solar-induced fluorescence
Photosynthesis of terrestrial ecosystems in the Arctic-Boreal region is a critical part of the global carbon cycle. Solar-induced chlorophyll Fluorescence (SIF), a promising proxy for photosynthesis with physiological insight, has been used to track gross primary production (GPP) at regional scales. Recent studies have constructed empirical relationships between SIF and eddy covariance-derived GPP as a first step to predicting global GPP. However…
Spatial covariation between solar-induced fluorescence and vegetation indices from Arctic-Boreal landscapes
The Arctic-Boreal Zone (ABZ) is characterized by spatially heterogeneous vegetation composition and structure, leading to challenges for inferring patterns in vegetation productivity. A mechanistic understanding of the patterns and processes underlying spectral remote sensing observations is necessary to overcome these challenges. Solar-induced chlorophyll fluorescence (SIF), near-infrared reflectance of vegetation (NIRv), and chlorophyll/caroten…
No prominent works on this page.
Spatial covariation between solar-induced fluorescence and vegetation indices from Arctic-Boreal landscapes
The Arctic-Boreal Zone (ABZ) is characterized by spatially heterogeneous vegetation composition and structure, leading to challenges for inferring patterns in vegetation productivity. A mechanistic understanding of the patterns and processes underlying spectral remote sensing observations is necessary to overcome these challenges. Solar-induced chlorophyll fluorescence (SIF), near-infrared reflectance of vegetation (NIRv), and chlorophyll/caroten…
Forests for forests
Remote sensing is a powerful tool for understanding and scaling measurements of plant carbon uptake via photosynthesis, gross primary productivity (GPP), across space and time. The success of remote sensing measurements can be attributed to their ability to capture valuable information on plant structure (physical) and function (physiological), both of which impact GPP. However, no single remote sensing measure provides a universal constraint on …
Evaluating photosynthetic activity across Arctic-Boreal land cover types using solar-induced fluorescence
Photosynthesis of terrestrial ecosystems in the Arctic-Boreal region is a critical part of the global carbon cycle. Solar-induced chlorophyll Fluorescence (SIF), a promising proxy for photosynthesis with physiological insight, has been used to track gross primary production (GPP) at regional scales. Recent studies have constructed empirical relationships between SIF and eddy covariance-derived GPP as a first step to predicting global GPP. However…
Atmospheric sciences (3 works) · Boreal ecosystem (3 works) · Environmental Science (3 works) · Geology (3 works) · Arctic (2 works) · Atmospheric and Environmental Gas Dynamics (2 works) · Boreal (2 works) · Ecology (2 works) · Ecosystem (2 works) · Forestry (2 works)