Optical vegetation indices for monitoring terrestrial ecosystems globally
Vegetation indices (VIs), which describe remotely sensed vegetation properties such as
photosynthetic activity and canopy structure, are widely used to study vegetation dynamics …
photosynthetic activity and canopy structure, are widely used to study vegetation dynamics …
Evolution of light use efficiency models: Improvement, uncertainties, and implications
Light use efficiency (LUE) models have been widely used to estimate terrestrial gross
primary production (GPP) at local, regional, and global scales, which is vital for …
primary production (GPP) at local, regional, and global scales, which is vital for …
Widespread and complex drought effects on vegetation physiology inferred from space
The response of vegetation physiology to drought at large spatial scales is poorly
understood due to a lack of direct observations. Here, we study vegetation drought …
understood due to a lack of direct observations. Here, we study vegetation drought …
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 …
[HTML][HTML] NIRVP: A robust structural proxy for sun-induced chlorophyll fluorescence and photosynthesis across scales
Sun-induced chlorophyll fluorescence (SIF) is a promising new tool for remotely estimating
photosynthesis. However, the degree to which incoming solar radiation and the structure of …
photosynthesis. However, the degree to which incoming solar radiation and the structure of …
Improved estimation of leaf chlorophyll content of row crops from canopy reflectance spectra through minimizing canopy structural effects and optimizing off-noon …
Leaf chlorophyll content (LCC), as an important indicator of photosynthetic capacity and
nitrogen status, has been non-destructively estimated from canopy reflectance spectra in …
nitrogen status, has been non-destructively estimated from canopy reflectance spectra in …
Assessing a soil-removed semi-empirical model for estimating leaf chlorophyll content
Leaf chlorophyll content (LCC) is an important indicator of foliar nitrogen status and
photosynthetic capacity. Compared to physical models, the generality of empirical models …
photosynthetic capacity. Compared to physical models, the generality of empirical models …
[HTML][HTML] Global datasets of leaf photosynthetic capacity for ecological and earth system research
The maximum rate of Rubisco carboxylation (V cmax) determines leaf photosynthetic
capacity and is a key parameter for estimating the terrestrial carbon cycle, but its spatial …
capacity and is a key parameter for estimating the terrestrial carbon cycle, but its spatial …
Retrieving SPAD values of summer maize using UAV hyperspectral data based on multiple machine learning algorithm
B Sudu, G Rong, S Guga, K Li, F Zhi, Y Guo, J Zhang… - Remote Sensing, 2022 - mdpi.com
Using unmanned aerial vehicle (UAV) hyperspectral images to accurately estimate the
chlorophyll content of summer maize is of great significance for crop growth monitoring …
chlorophyll content of summer maize is of great significance for crop growth monitoring …
A novel red‐edge spectral index for retrieving the leaf chlorophyll content
The leaf chlorophyll content (Chlleaf) is a crucial vegetation parameter in carbon cycle
modelling and agricultural monitoring at local, regional and global scales. The red‐edge …
modelling and agricultural monitoring at local, regional and global scales. The red‐edge …