EarthEnv
This platform provides global, remote-sensing supported environmental layers crucial for assessing biodiversity, ecosystems, and climate. It features a unique 1-km cloud cover dataset derived from 15 years of twice-daily MODIS satellite observations. The data offers insights into spatio-temporal cloud cover dynamics for ecological research and habitat mapping.
The Global 1-km Cloud Cover dataset from EarthEnv integrates 15 years of twice-daily remote sensing-derived cloud observations at a high 1-km resolution. These datasets are vital for understanding how cloud cover influences numerous ecological processes, including reproduction, growth, survival, and behavior of species.
The integration approach and evaluations of these datasets are detailed in the associated journal article: Wilson AM, Jetz W (2016) Remotely Sensed High-Resolution Global Cloud Dynamics for Predicting Ecosystem and Biodiversity Distributions. PLoS Biol 14(3): e1002415. The research highlights how fine-grain cloud cover dynamics can improve predictions of habitats, ecosystems, and species distributions compared to traditional interpolated climate data.
Available datasets for download include Cloud Forest Prediction, Inter-annual variability (SD), Intra-Annual variability (SD), Mean annual cloud cover, and monthly mean cloud cover for various months, all provided as GeoTIFF files. These resources expose previously undocumented global complexity in spatio-temporal cloud cover dynamics.
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