Recent advances in validation of vegetation products have led to new ground based methods to assess the accuracy for small and large spatial footprint sensors. In addition to classical biophysical parameter retrieval (in particular Leaf Area Index (LAI)), current approaches combine photonvegetation interaction based methods for both, the remote sensing instrument and the ground measurements. An...

Leaf area index (LAI), the total one-sided surface area of leaf per ground surface area, is a key component of land surfacemodels. The authors investigate the influence of differing, plausible LAI prescriptions on heat, moisture, and carbon fluxes simulated by the Community Atmosphere Biosphere Land Exchange version 1.4b (CABLEv1.4b) model over the Australian continent. A 15-member ensemble mon...

Leaf area index (LAI) is one of the key biophysical variables required for crop modeling. Direct LAI measurements are time consuming and difficult to obtain for experimental and commercial fruit orchards. Devices used to estimate LAI have shown considerable errors when compared to ground-truth or destructive measurements, requiring tedious site-specific calibrations. The objective of this study...

Terrestrial vegetation plays an important role in the water, energy and carbon cycles at the land surface. Leaf Area Index (LAI), a measure of canopy structure, is an important biophysical parameter in ecosystem models which represent these cycles. However, field observations of LAI are rarely available at the resolution and coverage required for regionalor global-scale ecosystem modelling. Poo...

Leaf area index (LAI) of loblolly pine (Pinus taeda L.) trees of the southern United States varies almost twofold interannually; loblolly pine, essentially, carries two foliage cohorts at peak LAI (September) and one at minimum (March–April). Herein, we present an approach that may be site invariant to estimate monthly LAI for loblolly pine using point-in-time measurements from a LI-COR LAI-200...

The Leaf Area Index (LAI) is an important measure in many ecological applications because vegetation-atmosphere processes of the canopy, such as photosynthesis are controlled by the foliage and play an essential role in the carbon cycle. Therefore accurate determination of LAI is of great interest. Forest LAI is difficult to estimate due to the complex structure of the canopy and its high varia...

Inland surface models, which are used to evaluate the role of vegetation in the context of global climate change and variability, LAI and FAPAR play a key role, specifically with respect to the carbon and water cycles. The AVHRR-based LAI/FAPAR dataset offers daily temporal resolution, an improvement over previous products. This climate data record is based on a carefully calibrated and correct...

The study attempted to analyse the effects of age, pruning, and fertilizer application on tea yield and to derive a relation between yield and tea leaf area index (LAI). The study was motivated by the fact that tea yield has stagnated in Northeast India. To study the effects of age, pruning, and fertilizer application on tea yield, statistical analysis was applied to the data set collected at t...

The aim of this paper is to assess the latest version of the MODIS LAI/FPAR product (MOD15A2H), namely Collection 6 (C6). We comprehensively evaluate this product through three approaches: validation with field measurements, intercomparison with other LAI/FPAR products and comparison with climate variables. Comparisons between ground measurements and C6, as well as C5 LAI/FPAR indicate: (1) MOD...