You can also create image collections from individual images or merge existing collections. Each data source available on GEE has it’s own Image Collection and ID (for example, the Landsat 5 SR collection, or the GRIDMET meteorological data collection). Image CollectionsĪ stack or time series of images are called Image Collections. Here, we will leverage GEE to create a composite satellite image representing the peak growing season for a watershed of interest.

Google Earth Engine (GEE) is particularly well suited to these tasks.Ī static version of the code can be accessed here: * Exercise: Basic GEE Workflow However, cloudy skies during satellite overpass and other acquisition anomalies make certain scenes or pixels unusable.Ĥ55 Landsat scenes cover the United States:įor most regional-scale applications, you will need to combine multiple satellite images to fully cover your spatial extent and fill in missing data caused by clouds, etc. The edges of each path overlap, providing increased temporal frequency in these areas. Each scene is currently imaged every 16 days by Landsat 8, and every 16 days by Landsat 7 (approximately 45 times each year).

Global Landsat data is broken up in ~180 km 2 scenes, with unique path/row identifiers. Most satellite products are broken up into tiles for distribution. Overview: Satellite Imagery at Regional Scales Understand how to map functions across image collections Perform basic image manipulation, mosaicking, and visualization Learn how to access images based on filter criteria

Satellite images of earth