Landsat

Long-term, medium spatial resolution annual land surface phenology with a Bayesian hierarchical model
We developed a new algorithm to produce long-term annual land surface phenology data at 30 m spatial reolution with pixel-wise uncertainty.
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Long-term, medium spatial resolution annual land surface phenology with a Bayesian hierarchical model
A history of the rehabilitation of mangroves and an assessment of their diversity and structure using Landsat annual composites (1987–2019) and transect plot inventories
Recently, there has been renewed interest in the ecosystem services of mangroves such as carbon sequestration or coastal protection, …
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Mapping leaf area index using spatial, spectral, and temporal information from multiple sensors
Leaf area index (LAI) is one of the most important biophysical parameters for modeling ecosystem processes such as carbon and water …
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