Spectranomics: Emerging science and conservation opportunities at the interface of biodiversity and remote sensing

By Gregory P. Asner, Roberta E. Martin. 2016

165 citations recorded by the source corpus.

Abstract With the goal of advancing remote sensing in biodiversity science, Spectranomics represents an emerging approach, and a suite of quantitative methods, intended to link plant canopy phylogeny and functional traits to their spectral-optical properties. The current Spectranomics database contains about one half of known tropical forest canopy tree species worldwide, and has become a forecasting asset for predicting aspects of plant functional and biological diversity to be remotely mapped and monitored with current and future spectral remote sensing technology. To mark ten years of Spectranomics, we review recent scientific outcomes to further stimulate engagement in the use of spectral remote sensing for biodiversity and functional ecology research. In doing so, we highlight three major emerging opportunities for the science and conservation communities based on Spectranomics.

Subfields: Analytical Chemistry, Ecological Modeling, Ecology

View Paper: https://www.semanticscholar.org/paper/4b0ace1aff5f766506f9eb7e90b91f92ff9973bb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Susan L. Ustin
2. Stephane Jacquemoud
3. Scott V. Ollinger

In Ecological Modeling

1. Barbara C. Schmid
2. Susan L. Ustin
3. Michael E. Schaepman
4. Stephane Jacquemoud

In Ecology

1. Susan L. Ustin
2. Michael E. Schaepman
3. Stephane Jacquemoud
4. Barbara C. Schmid
5. Scott V. Ollinger
6. Jan G. P. W. Clevers
7. Gregory P. Asner
8. M. Fischer

Citations in the corpus

• Mapping functional diversity using individual tree-based morphological and physiological traits in a subtropical forest (2021, background): “…such as individual tree detection from LiDAR or high-resolution orthophotos allow for estimating physiological traits or proxies of traits at the level of individual trees, thus avoiding mixing of different biological entities (Chadwick and Asner, 2016; Martin et al., 2018; Zhao et al., 2018).”
• How the Optical Properties of Leaves Modify the Absorption and Scattering of Energy and Enhance Leaf Functionality (2020, background): “2014a, b; Asner and Martin 2016; Féret et al.”