Obtaining phytoplankton diversity from ocean color: a scientific roadmap for future development
To improve our understanding of the role of phytoplankton for marine ecosystems and global
biogeochemical cycles, information on the global distribution of major phytoplankton groups …
biogeochemical cycles, information on the global distribution of major phytoplankton groups …
A global moderate resolution dataset of gross primary production of vegetation for 2000–2016
Accurate estimation of the gross primary production (GPP) of terrestrial vegetation is vital for
understanding the global carbon cycle and predicting future climate change. Multiple GPP …
understanding the global carbon cycle and predicting future climate change. Multiple GPP …
Multi-scale evaluation of global gross primary productivity and evapotranspiration products derived from Breathing Earth System Simulator (BESS)
Several global gross primary production (GPP) and evapotranspiration (ET) remote sensing
products exist, mainly provided by machine-learning (eg MPI-BGC) and semi-empirical (eg …
products exist, mainly provided by machine-learning (eg MPI-BGC) and semi-empirical (eg …
Principles for satellite monitoring of vegetation carbon uptake
IC Prentice, M Balzarolo, KJ Bloomfield… - Nature Reviews Earth & …, 2024 - nature.com
Remote-sensing-based numerical models harness satellite-borne measurements of light
absorption by vegetation to estimate global patterns and trends in gross primary production …
absorption by vegetation to estimate global patterns and trends in gross primary production …
Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations
A Wolanin, G Camps-Valls, L Gómez-Chova… - Remote sensing of …, 2019 - Elsevier
Satellite remote sensing has been widely used in the last decades for agricultural
applications, both for assessing vegetation condition and for subsequent yield prediction …
applications, both for assessing vegetation condition and for subsequent yield prediction …
Satellite-derived LAI products exhibit large discrepancies and can lead to substantial uncertainty in simulated carbon and water fluxes
Understanding the terrestrial carbon and water cycles is crucial for mitigation and adaptation
for climate change. Leaf area index (LAI) is a key biophysical parameter in process-based …
for climate change. Leaf area index (LAI) is a key biophysical parameter in process-based …
Grassland canopy cover and aboveground biomass in Mongolia and Inner Mongolia: Spatiotemporal estimates and controlling factors
Temperate and semiarid grasslands comprise 80% of the land area on the Mongolian
Plateau and environs, which includes Mongolia (MG), and the province of Inner Mongolia …
Plateau and environs, which includes Mongolia (MG), and the province of Inner Mongolia …
Simulated net ecosystem productivity of subtropical forests and its response to climate change in Zhejiang Province, China
Net ecosystem productivity (NEP) is an important index that indicates the carbon
sequestration capacity of forest ecosystems. However, the effect of climate change on the …
sequestration capacity of forest ecosystems. However, the effect of climate change on the …
Land surface phenology of China's temperate ecosystems over 1999–2013: Spatial–temporal patterns, interaction effects, covariation with climate and implications for …
Phenology is an important indicator of ecosystem functioning and has played a significant
role in indicating plant productivity. Using 15-year SPOT-VGE data (1999–2013), we …
role in indicating plant productivity. Using 15-year SPOT-VGE data (1999–2013), we …
Regional crop gross primary productivity and yield estimation using fused landsat-MODIS data
Accurate crop yield assessments using satellite remote sensing-based methods are of
interest for regional monitoring and the design of policies that promote agricultural resiliency …
interest for regional monitoring and the design of policies that promote agricultural resiliency …