Level up Google Earth Engine with Kepler.gl
Explore, filter, and beautify your GEE results with the WebGL empowered Kepler.gl
2022 is a year full of climate disasters. Heat waves, droughts, wildfires, and floods have wreaked havoc across the globe. Immediate actions are needed. And informed actions need data, which includes the regional climate, vegetation, primary productivity, and land use. We can find such data in satellite imagery. And when we talk about satellite imagery nowadays, we think of Google Earth Engine first.
In my previous articles, I showed how to use Google Earth Engine to generate time series reports for a user-defined region. These web apps collect data about the regional land use land cover (LULC), vegetation, and climate. They present the results as line charts and thumbnails. Because they run on the Google Cloud, neither data nor software download is necessary. However, these apps are not perfect. Firstly, data export is difficult. That is, in order to download the time series data, users must open the detailed view of the line chart and click the download button. And the thumbnail data is not downloadable. Secondly, users cannot inspect the details on the map visualization because it is not interactive. Thirdly, users can neither search with a coordinate nor choose a period nor change the scale. Lastly…
