Deep learning and earth observation to support the sustainable development goals: Current approaches, open challenges, and future opportunities
The synergistic combination of deep learning (DL) models and Earth observation (EO)
promises significant advances to support the Sustainable Development Goals (SDGs). New …
promises significant advances to support the Sustainable Development Goals (SDGs). New …
What is global photosynthesis? History, uncertainties and opportunities
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 …
cycle and the climate system. Remote sensing has played a pivotal role in advancing our …
Machine learning-based global maps of ecological variables and the challenge of assessing them
The recent wave of published global maps of ecological variables has caused as much
excitement as it has received criticism. Here we look into the data and methods mostly used …
excitement as it has received criticism. Here we look into the data and methods mostly used …
[PDF][PDF] TRY plant trait database–enhanced coverage and open access
Plant traits—the morphological, anatomical, physiological, biochemical and phenological
characteristics of plants—determine how plants respond to environmental factors, affect …
characteristics of plants—determine how plants respond to environmental factors, affect …
[HTML][HTML] The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations
The terrestrial forest carbon pool is poorly quantified, in particular in regions with low forest
inventory capacity. By combining multiple satellite observations of synthetic aperture radar …
inventory capacity. By combining multiple satellite observations of synthetic aperture radar …
Global variation in the fraction of leaf nitrogen allocated to photosynthesis
Plants invest a considerable amount of leaf nitrogen in the photosynthetic enzyme ribulose-
1, 5-bisphosphate carboxylase-oxygenase (RuBisCO), forming a strong coupling of nitrogen …
1, 5-bisphosphate carboxylase-oxygenase (RuBisCO), forming a strong coupling of nitrogen …
Foliar functional traits from imaging spectroscopy across biomes in eastern North America
Foliar functional traits are widely used to characterize leaf and canopy properties that drive
ecosystem processes and to infer physiological processes in Earth system models. Imaging …
ecosystem processes and to infer physiological processes in Earth system models. Imaging …
Ecosystem traits linking functional traits to macroecology
As the range of studies on macroecology and functional traits expands, integration of traits
into higher-level approaches offers new opportunities to improve clarification of larger-scale …
into higher-level approaches offers new opportunities to improve clarification of larger-scale …
TRY–a global database of plant traits
Plant traits–the morphological, anatomical, physiological, biochemical and phenological
characteristics of plants and their organs–determine how primary producers respond to …
characteristics of plants and their organs–determine how primary producers respond to …
Species distribution modelling supports the study of past, present and future biogeographies
J Franklin - Journal of Biogeography, 2023 - Wiley Online Library
Species distribution modelling (SDM), also called environmental or ecological niche
modelling, has developed over the last 30 years as a widely used tool used in core areas of …
modelling, has developed over the last 30 years as a widely used tool used in core areas of …