Importance of leaf area index and forest type when estimating photosynthesis in boreal forests

TL;DR: In this article, the authors used spectral and spatial information in remotely sensed images to map key biophysical and biochemical properties such as leaf area index (LAI) and leaf nitrogen content, coupled with meteorological data to drive process-based ecosystem simulation models which may be used to monitor the production of forests and the rates of exchanges of energy and matter with the atmosphere and hydrosphere.

TL;DR: In this paper , the relative ability of DAP and ALS in predicting canopy structural variables (i.e., canopy cover and leaf area index (LAI)) has not been sufficiently investigated by previous studies.

TL;DR: Remote sensing applications in monitoring poplars have increased rapidly in recent decades, with LiDAR, satellite, and ground-based sensors being used to study various biophysical parameters and health indicators.

TL;DR: This paper aims to simulate China's terrestrial NPP using a carbon-water coupled process model based on remote sensing, and explore tempo-spatial patterns of China'srestrial NPP and the mechanisms of its responses to various environmental factors.

TL;DR: Various aspects of the biochemistry of photosynthetic carbon assimilation in C3 plants are integrated into a form compatible with studies of gas exchange in leaves.

TL;DR: This book brings together a number of procedures developed for regression problems in current use and includes material that either has not previously appeared in a textbook or if it has appeared is not generally available.

TL;DR: In this paper, a two-stream approximation model of radiative transfer was used to calculate values of hemispheric canopy reflectance in the visible and near-infrared wavelength intervals.