ClimateEngine allows researchers and natural resource managers to analyze and visualize complex satellite and climate data, helping users understand change in Earth’s landscapes over time.
The Climate Engine App is a no-code solution for cloud computing and visualization of climate and satellite Earth Observation data designed for academic and non-commercial research.
Climate Engine tools use Google Earth Engine for processing of satellite and climate data on a web browser and features mapping of environmental monitoring datasets. With fully customizable spatial and temporal analyses, the Climate Engine App enables users to produce maps and time series summaries from these datasets.
It provides on-demand mapping and plotting of hundreds of climate and satellite variables, enabling real-time analysis and monitoring to provide early warning indicators of climate impacts, such as vegetation, drought, snowpack, wildfire, ecological stress, agricultural production, and more. Users can also download or share results instead of processing entire data archives locally.
- Visualize. Unprecedented access for visualizing and interacting with Earth observation datasets on the fly in your browser, with no additional software required. Provides capability for on-demand value, percentile, trend, and anomaly mapping.
- Analyze. Generate advanced charts to crunch the numbers on the fly. Plot types include time-series plots, two-variable time-series plots, summary time-series plots, and two-variable scatterplots. Additional capabilities include significance testing in mapping and charting.
- Export. You can do a lot with Climate Engine tools, but sometimes you just need the data somewhere else. You can export raster data as TIFF, PNG, and JPEG images and can export time-series data as CSV and XLSX data tables so that you can take your data into GIS, statistical software, and more.
- Share. Every map and chart you produce in the Climate Engine App can be easily shared by creating a short link. Short links are unique links that can be used to allow your colleagues, friends, or future self to access your data at a later point and to increase reproducibility of your analysis.