Landsat NDVI time series reconstruction

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 synopsis

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.

Procedure from a recent peer-reviewed implementation

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.

1. NDVI time series reconstruction
   Calculated daily NDVI values from Landsat 5, 7, and 8 images using red and near-infrared bands. Applied cloud-scoring algorithm in Google Earth Engine to mask clouds with threshold score below 20. Used LSTM neural network to reconstruct continuous daily NDVI time series from sparse satellite observations, achieving training and validation adjusted R² of 0.65 for both ER-BT and ER-SP sites.
   Quantities: Daily NDVI reconstruction over 16-day Landsat return period, cloud score threshold of 20, adjusted R² of 0.65Duration: 1995-2017 for SNOTEL sites, 1999-2018 for East River Watershed analysisConditions: Cloud masking applied to remove atmospheric interference, temporal gaps filled using LSTM interpolation
   Equipment: Landsat 5 satellite, Landsat 7 satellite, Landsat 8 satellite, Google Earth Engine cloud computing platform

Typical Equipment

• Landsat 5 satellite
• Landsat 7 satellite
• Landsat 8 satellite
• Google Earth Engine cloud computing platform

Output Measurements

• daily NDVI values
• reconstructed vegetation index time series

Papers Using This Protocol (1)

Species Studied With This Protocol

Places Where Used