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Remote sensing of terrestrial gross primary productivity: a review of advances in theoretical foundation, key parameters and methods
Accurately estimating gross primary productivity (GPP), the largest carbon flux in terrestrial
ecosystems, is crucial for advancing our understanding of global carbon cycle and …
ecosystems, is crucial for advancing our understanding of global carbon cycle and …
[HTML][HTML] Advances in high-resolution land surface satellite products: A comprehensive review of inversion algorithms, products and challenges
For many applications, raw satellite observations need to be converted to high-level
products of various essential environmental variables. While numerous products are …
products of various essential environmental variables. While numerous products are …
[HTML][HTML] Remotely sensed functional diversity and its association with productivity in a subtropical forest
Functional diversity is a critical component driving ecosystem functioning. Spatially explicit
data of plant functional traits and diversity are essential for understanding biodiversity effects …
data of plant functional traits and diversity are essential for understanding biodiversity effects …
Incorporating environmental variables into spatiotemporal fusion model to reconstruct high-quality vegetation index data
Restricted by the design of satellite sensors, the existing satellite-based normalized
difference vegetation index (NDVI) cannot simultaneously have a high temporal resolution …
difference vegetation index (NDVI) cannot simultaneously have a high temporal resolution …
The impact of land use and landscape pattern on ecosystem services in the Dongting lake region, China
Ecosystem services (ES) are directly affected by land use and land cover changes (LUCC);
however, the impacts of extended period LUCC on ES are poorly explored. Here, we …
however, the impacts of extended period LUCC on ES are poorly explored. Here, we …
A fine spatial resolution estimation scheme for large-scale gross primary productivity (GPP) in mountain ecosystems by integrating an eco-hydrological model with the …
Accurate estimation of mountain vegetation gross primary productivity (GPP) at fine spatial
resolutions offers opportunities to better understand mountain ecosystems' feedback to the …
resolutions offers opportunities to better understand mountain ecosystems' feedback to the …
The roles of environmental conditions in the pollutant emission-induced gross primary production change: Co-contribution of meteorological fields and regulation of its …
Anthropogenic emissions affect vegetation photosynthesis and carbon flux through
meteorological variations induced by aerosols and clouds. However, the insufficient …
meteorological variations induced by aerosols and clouds. However, the insufficient …
Multi-site assessment of the potential of fine resolution red-edge vegetation indices for estimating gross primary production
Gross primary production (GPP) models driven by fine resolution remote sensing data
characterize the spatial and temporal heterogeneities in plant photosynthesis, which is …
characterize the spatial and temporal heterogeneities in plant photosynthesis, which is …
A 30-m gross primary production dataset from 2016 to 2020 in China
Estimating gross primary production (GPP) of terrestrial ecosystems is important for
understanding the terrestrial carbon cycle. However, existed nationwide GPP datasets are …
understanding the terrestrial carbon cycle. However, existed nationwide GPP datasets are …
A dynamic-leaf light use efficiency model for improving gross primary production estimation
Accurate quantification of terrestrial gross primary production (GPP) is integral for enhancing
our understanding of the global carbon budget and climate change. The light use efficiency …
our understanding of the global carbon budget and climate change. The light use efficiency …