lt( 'CLOUDY_PIXEL_PERCENTAGE', 30)) // Apply date filter on the results var filtered2 = filtered1. bounds(geometry)) // Let's apply all the 3 filters together on the collection // First apply metadata fileter var filtered1 = s2. date( '', '')) // Filter by location var filtered = s2. lt( 'CLOUDY_PIXEL_PERCENTAGE', 30)) // Filter by date var filtered = s2. ImageCollection( 'COPERNICUS/S2_HARMONIZED') // Filter by metadata var filtered = s2. You can also use the drawing tools toĪfter applying the filters, you can use the size()įunction to check how many images match the filters. Images with a bounding box, location or geometry using theĮe.Filter.bounds(). Filter by location: You can select the subset of.Particular date range using filters such as Filter by date: You can select images in a.Image metadata using filters such as ee.Filter.eq(),Įe.Filter.lt() etc.
Filter by metadata: You can apply a filter on the.We will learn about 3 main types of filtering techniques Select aįilter and then run the filter() function with the filter There are many types of filter functions, look atĮe.Filter. We use filters to select theĪppropriate images. TheĮntire collections are not very useful. The collection contains all imagery ever collected by the sensor. The X and Y coordinates with the coordinates of your city and click (longitude), Y coordinate (latitude) and Zoom Level parameters. Map.setCenter() which sets the viewport to a specific
#MASK IMAGE TOOL IN POWERPOINT 2017 CODE#
In the code snippet, You will see a function Click Run and you will see the image tiles load in Click theĬopy Code Sample button and paste the code into theĬode editor. Is a great starting point for your work with this dataset.
Level 1C page and see Explore in Earth Engine section toįind the code snippet to load and visualize the collection. Sentinel-2 Level 1C dataset and you will find its id You can load a collection by searching the Earth Engineĭata Catalog for the ImageCollection ID. Most datasets in Earth Engine come as a ImageCollection.Īn ImageCollection is a dataset that consists of images takes atĭifferent time and locations - usually from the same satellite or data
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