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 necessa...
| Main Author: | |
|---|---|
| Format: | Dataset |
| Language: | unknown |
| Published: |
Root
2023
|
| Subjects: | |
| Online Access: | https://dx.doi.org/10.48577/jpl.chtgtp https://dataverse.jpl.nasa.gov/citation?persistentId=doi:10.48577/jpl.CHTGTP |
| Summary: | 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/carotenoid index (CCI) show promise for tracking productivity and disentangling links to the activity and distribution of chlorophyll at coarse spatial scales (e.g., 0.5), but their effectiveness for studying mixed landscapes characteristic of the ABZ remains unclear. Here, we use airborne observations collected during NASA’s Arctic-Boreal Vulnerability Experiment to examine the spatial covariation between SIF, NIRv, and CCI at a scale (30 m) commensurate with the best available landcover products across interior Alaska. Additionally, we compare relationships among SIF and ... |
|---|