This paper provides an overview of the recent developments in remote sensing technology
and machine learning algorithms for estimating important biophysical and biochemical …

Leaf area index (LAI) is an important vegetation parameter. Active light detection and
ranging (LiDAR) technology has been widely used to estimate vegetation LAI. In this study …

Recent remote-sensing-based global carbon, water and energy budgets over land still
include considerable uncertainties. Most existing flux products of terrestrial carbon, water …

With a growing number of Earth observation (EO) products available through operational
programmes such as the European Union's Copernicus, there is increasing emphasis on …

The Copernicus Global Land Service (CGLS) provides global time series of leaf area index
(LAI), fraction of absorbed photosynthetically active radiation (fAPAR) and fraction of …

Abstract Evaluation of vegetation structure and distribution simulations in Earth system
models (ESMs) is the basis for understanding historical reconstruction and future projection …

Leaf area index (LAI) is an important variable for characterizing vegetation structure.
Contemporary satellite-based LAI products with moderate spatial resolution, such as those …

The rapid economic development that the Hotan Oasis in **njiang Uygur Autonomous
Region, China has undergone in recent years may face some challenges in its ecological …

The objective of this study is to evaluate the performances of a semi-empirical approach
based on the Bayesian theory to retrieve Green Area Index (GAI) from multiple decametric …

Regional crop yield forecasting before harvest is critical for managing climate risk,
optimizing agronomic management, and making food trade policy. The advantage of remote …