NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms

K Cawse-Nicholson, PA Townsend, D Schimel… - Remote sensing of …, 2021 - Elsevier
Abstract The 2017–2027 National Academies' Decadal Survey, Thriving on Our Changing
Planet, recommended Surface Biology and Geology (SBG) as a “Designated Targeted …

Vegetation demographics in Earth System Models: A review of progress and priorities

RA Fisher, CD Koven, WRL Anderegg… - Global change …, 2018 - Wiley Online Library
Numerous current efforts seek to improve the representation of ecosystem ecology and
vegetation demographic processes within Earth System Models (ESM s). These …

Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites

H Chu, X Luo, Z Ouyang, WS Chan, S Dengel… - Agricultural and Forest …, 2021 - Elsevier
Large datasets of greenhouse gas and energy surface-atmosphere fluxes measured with
the eddy-covariance technique (eg, FLUXNET2015, AmeriFlux BASE) are widely used to …

What is global photosynthesis? History, uncertainties and opportunities

Y Ryu, JA Berry, DD Baldocchi - Remote sensing of environment, 2019 - Elsevier
Quantifying global terrestrial photosynthesis is essential to understanding the global carbon
cycle and the climate system. Remote sensing has played a pivotal role in advancing our …

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 …

A roadmap for improving the representation of photosynthesis in Earth system models

A Rogers, BE Medlyn, JS Dukes, G Bonan… - New …, 2017 - Wiley Online Library
Accurate representation of photosynthesis in terrestrial biosphere models (TBM s) is
essential for robust projections of global change. However, current representations vary …

Monitoring biodiversity in the Anthropocene using remote sensing in species distribution models

CF Randin, MB Ashcroft, J Bolliger… - Remote sensing of …, 2020 - Elsevier
In the face of the growing challenges brought about by human activities, effective planning
and decision-making in biodiversity and ecosystem conservation, restoration, and …

Observing terrestrial ecosystems and the carbon cycle from space

D Schimel, R Pavlick, JB Fisher, GP Asner… - Global Change …, 2015 - Wiley Online Library
Terrestrial ecosystem and carbon cycle feedbacks will significantly impact future climate, but
their responses are highly uncertain. Models and tip** point analyses suggest the tropics …

A best-practice guide to predicting plant traits from leaf-level hyperspectral data using partial least squares regression

AC Burnett, J Anderson, KJ Davidson… - Journal of …, 2021 - academic.oup.com
Partial least squares regression (PLSR) modelling is a statistical technique for correlating
datasets, and involves the fitting of a linear regression between two matrices. One …

Monitoring plant functional diversity from space

W Jetz, J Cavender-Bares, R Pavlick, D Schimel… - Nature plants, 2016 - nature.com
The ability to view Earth's vegetation from space is a hallmark of the Space Age. Yet
decades of satellite measurements have provided relatively little insight into the immense …