global-river-ice-dataset-from-Landsat | Google Earth Engine ) , JavaScript , JavaScript ( Google Earth

global-river-ice-dataset-from-Landsat is a JavaScript library typically used in Internet of Things (IoT) applications. global-river-ice-dataset-from-Landsat has no bugs, it has no vulnerabilities and it has low support. However global-river-ice-dataset-from-Landsat has a Non-SPDX License. You can download it from GitHub.

This GitHub repository includes Google Earth Engine (GEE) python/JavaScript scripts for calculating river ice and projecting future ice condition, R scripts for importing, cleaning, analyzing, and visualizing the data. Script that calculate one river ice extent value per Landsat image for >800,000 Landsat images (1984–2018). The python script automates the calculation, exporting the data one month per GEE task. GEE scripts/Download_landsat_river_ice_data_with_era_temp.py: Calculate global river ice extent dataset. GEE scripts/functions.py: contains functions used in the "GEE scripts/Download_landsat_river_ice_data_with_era_temp.py" script. The global river ice extent dataset was analyzed in R using the script "river ice analysis.Rmd". The river ice extent model was implemented on GEE to calculate future river ice condition using CMIP5 climate model simulations. The predicted river ice extent data were then downloaded to local computer and analyzed using R scripts "river ice analysis.Rmd". GEE scripts/Future annual river ice extent.js: Calculate the annual river ice extent from 2008 to 2100. GEE scripts/Future river ice extent comparing two periods.js: Calculate the ice duration and ice extent difference between the periods 2009–2029 and 2080–2100. GEE scripts/climate model SAT biases.js: Calculate SAT biases for all models in the CMIP5 simulations, used as justification for choosing the three models used in the paper.