Wenze Yang

TL;DR: Huete et al. as discussed by the authors analyzed Amazon vegetation phenology at multiple scales with MODIS satellite measurements from 2000 to 2005, and found that canopy photosynthesis measured from eddy flux towers in both a rainforest and forest conversion site confirm their interpretation of satellite data, and suggest that basinwide carbon fluxes can be constrained by integrating remote sensing and local flux measurements.

TL;DR: There are reported seasonal swings in green leaf area of ≈25% in a majority of the Amazon rainforests, which may be critical to initiation of the transition from dry to wet season, seasonal carbon balance between photosynthesis gains and respiratory losses, and litterfall nutrient cycling in moist tropical forests.

TL;DR: In this paper, the performance of four major global leaf area index (LAI) products at 1/11.2° spatial sampling and a monthly time step was investigated. And the results showed that the CAI values agree better over croplands and grasslands than over forests.

TL;DR: This paper summarizes the experience of several collaborating investigators on validation of MODIS LAI products and suggests three key factors that influence the accuracy of LAI retrievals that are suggested from the model used to build the look-up tables accompanying the algorithm.

TL;DR: Results indicate that the ability to generate consistent long-term remote sensing records is dependent on both consistent sensing scenarios (spectral bands, view angle distributions, geolocation error) as well as consistent compositing approaches.