Leaf area index (LAI) is a fundamental land surface parameter. Recently, several agencies have produced 1 km gridded LAI estimates over Canada. These products...
Accurate and precise detection of phenology events is needed to assess trends in seasonal vegetation development indicative of climate or other environmental...
Satellite remote sensing has the potential to contribute to plant phenology monitoring at spatial and temporal scales relevant for regional and global scale...
Snow albedo feedback (SAF) is important for global climate change, with strong regional impacts over northern continental areas. SAF calculated from the...
Retrieving biophysical parameters, such as the leaf area index (LAI) and the net primary productivity (NPP), from remote sensing imagery is very useful for...
This study evaluates the performance of a simple geometric-optics reflectance model, used in combination with multi-spectral clustering, to map spatial...
Leaf area index (LAI) is an important indicator of plant growth and biomass accumulation. LAI is often required as an input parameter in many models,...
Leaf area index (LAI) is identified as a Level 2b product to be derived from the Sentinel-2 (S2) Multispectral Imager (MSI) in support of user services [1]....
Leaf area index (LAI) is an important surface biophysical parameter as a measure of vegetation cover, vegetation productivity, and as an input to ecosystem...
The retrieval of canopy architectural parameters using off-the-shelf digital cameras with fish-eye lens is investigated. The technique used takes advantage of...
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