Knowledge graph centered on Landsat NDVI time series reconstruction with 60 nodes and 117 connections. Top connected: Spruce, climate change, snowpack persistence, leaf water content, Crested Butte.
Method to reconstruct continuous daily NDVI time series from sparse Landsat satellite observations using LSTM neural networks with cloud masking and gap-filling.
Synthesized from method descriptions across 1 paper using this protocol.
Steps below were extracted from the most recent peer-reviewed implementation of this protocol in the corpus — A deep learning hybrid predictive modeling (HPM) approach for estimating evapotranspiration and ecosystem respiration (2021), Hydrology and Earth Systems Science. Implementations in other papers (listed below) may differ.