![]() ![]() ![]() Out = (outputVideo, description= 'dubai_video_andy2', dimensions = 720, framesPerSecond = 2, region=(, ,), maxFrames= 10000) Print "about to build video" #Export to video. def convertBit (image): return image.multiply( 512).uint8() # select the bands, we are going for true colour. ![]() Pathrow = path.filter(ee.Filter.eq( 'WRS_ROW', 43))Ĭlouds = pathrow.filter(ee.Filter.lt( 'CLOUD_COVER', 5)) Path = collection.filter(ee.Filter.eq( 'WRS_PATH', 160)) import eeĬollection = ee.ImageCollection( 'LANDSAT/LC8_L1T_TOA') mp4 file of all the Landsat 8 imagery (5% cloud cover) over the Dubai area in the UAE. The code is pretty much interchangeable to be honest, it is not too much effort to convert between languages.īelow is a Python script to produce a timelapse. My preference is for Python and I will use that in the example here. You have a choice with GEE – it’s JavaScript or Python. How to create your own time lapse imagery in Google Earth Engine Applications and data created with Services may not be sold or licensed for a fee. Services may not be used for sustained commercial purposes, but may be evaluated in a production environment. ![]() Services may only be used for development, research, or educational purposes. Remember to abide by the licensing terms.ġ.2 Limitations on Use. You want to look over the last year of Sentinel 1 data? You could download each acquisition and process each data set, but if you want to do this fast, Google Earth Engine is the perfect tool. I have written about Google Earth Engine before and I will certainly build on it in the future as this really is a brilliant evaluation tool for Earth Observation projects. Not only would the cost of this imagery but the physical computer processing power to process it would have made this project virtually impossible at the start of this decade. Whether it is the filtering for cloud free images ( some places are much cloudier than others), accounting for sensor failures (Landsat 7 ETM) or balancing the imagery there are plenty of challenges here. If you have ever worked with Satellite data you instantly have an appreciation of the effort involved here. ![]()
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