[HTML][HTML] Temporal upscaling of MODIS instantaneous FAPAR improves forest gross primary productivity (GPP) simulation

Y Zhang, Z Hu, J Wang, X Gao, C Yang, F Yang… - International Journal of …, 2023 - Elsevier
Gross primary productivity (GPP) is a measure of carbon uptake by terrestrial ecosystems for
carbon neutrality and serves as a key indicator for the Sustainable Development Goals. The …

[HTML][HTML] Evaluation of the monitoring capability of various vegetation indices and mainstream satellite band settings for grassland drought

X Zhu, Q Li, C Guo - Ecological Informatics, 2024 - Elsevier
In the context of global climate change and increasing human activities, grassland drought
has become increasingly severe and complex. The monitoring of grassland drought is …

Evaluating gross primary productivity over 9 ChinaFlux sites based on random forest regression models, remote sensing, and eddy covariance data

X Chang, Y Xing, W Gong, C Yang, Z Guo… - Science of The Total …, 2023 - Elsevier
Abstract Accurate modeling of Gross Primary Productivity (GPP) in terrestrial ecosystems is a
major challenge in quantifying the carbon cycle. Many light use efficiency (LUE) models …

[HTML][HTML] Greenhouse gas fluxes (CO2, N2O and CH4) of pea and maize during two cropping seasons: Drivers, budgets, and emission factors for nitrous oxide

R Maier, L Hörtnagl, N Buchmann - Science of the Total Environment, 2022 - Elsevier
Agriculture contributes considerably to the increase of global greenhouse gas (GHG)
emissions. Hence, magnitude and drivers of temporal variations in carbon dioxide (CO 2) …

On the potential of Sentinel-2 for estimating Gross Primary Production

DE Pabon-Moreno, M Migliavacca… - … on Geoscience and …, 2022 - ieeexplore.ieee.org
Estimating gross primary production (GPP), the gross uptake of CO 2 by vegetation, is a
fundamental prerequisite for understanding and quantifying the terrestrial carbon cycle. Over …

A water stress factor based on normalized difference water index substantially improved the accuracy of light use efficiency model for arid and semi-arid grasslands

L Ding, Z Li, K Xu, M Huang, B Shen, L Hou… - Journal of …, 2024 - Elsevier
High-accuracy simulation of gross primary productivity (GPP) is crucial for the monitoring
and evaluation of the ecosystem services and the adaptive management of grassland. The …

[HTML][HTML] NIRvP as a remote sensing proxy for measuring gross primary production across different biomes and climate zones: Performance and limitations

S Chen, L Sui, L Liu, X Liu, J Li, L Huang, X Li… - International Journal of …, 2023 - Elsevier
The product of near-infrared radiation reflected by vegetation (NIR v) and PAR (NIR v P) is a
promising proxy for the remote estimation of gross primary production (GPP). However, the …

Inter-comparisons of mean, trend and interannual variability of global terrestrial gross primary production retrieved from remote sensing approach

J Dong, L Li, Y Li, Q Yu - Science of the Total Environment, 2022 - Elsevier
Many models were established to estimate gross primary production (GPP) of terrestrial
ecosystems based on vegetation light use efficiency (LUE). Analysing the spatial-temporal …

Long-term dynamics of peak photosynthesis timing and environmental controls in the Tibetan Plateau monitored by satellite solar-induced chlorophyll fluorescence

Z Tu, Y Sun, C Wu, Z Ding, X Tang - International Journal of Digital …, 2024 - Taylor & Francis
Vegetation phenological metrics have attracted increasing attentions during recent years.
However, compared with the peak greenness timing (PGT), the peak photosynthesis timing …

Retrieving decametric-resolution leaf chlorophyll content from GF-6 WFV by assessing the applicability of red-edge vegetation indices

C Gu, J Li, Q Liu, H Zhang, L Liu, F Mumtaz… - … and Electronics in …, 2023 - Elsevier
Accurate and timely retrieval of leaf chlorophyll content (LCC) at fine spatial scales is crucial
for monitoring plants' photosynthetic capacity and nutritional status. The wide field-of-view …