Jan 19, 2024 · To help design a sensor specific to the estimation of LCC, this study calibrated a semiempirical model based on the leaf area index-insensitive ...
To help design a sensor specific to the estimation of LCC, this study calibrated a semi-empirical model based on the leaf area index-insensitive chlorophyll ...
To help design a sensor specific to the estimation of LCC, this study calibrated a semiempirical model based on the leaf area index-insensitive chlorophyll ...
Feb 5, 2024 · Abstract—Leaf chlorophyll content (LCC) is an important indi- cator of nitrogen content, and therefore, the accurate monitoring.
Leaf chlorophyll content (LCC) is an important indicator of nitrogen content, and therefore, the accurate monitoring of LCC will benefit agronomists in ...
Leaf chlorophyll content (LCC) is an important indicator of nitrogen content, and therefore, the accurate monitoring of LCC will benefit agronomists in ...
This study proposed a chlorophyll-constrained semi-empirical model (CSE). The coefficients of the CSE model were determined from the simulated dataset based on ...
These findings have great potential for mapping crop water status over large regions with universal semi-empirical models and hyperspectral satellite imagery.
Remote sensing techniques have been widely used to estimate LCC from canopy reflectance spectra. However, there is no sensor specific to the estimation of LCC ...
The leaf chlorophyll content (LCC) is a critical index to characterize crop growth conditions, photosynthetic capacity, and physiological status.
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