Are there any pixels over water in the mask?
As a result of this masking, all the pixels in the median composite that are over land (according to the Hansen et al. dataset) are visible, but those over water (or nodata) are transparent and will be excluded from any analysis you do on the maskedComposite image.
Can a water mask be made transparent in image2?
Any pixels in image2 that have the value 0 will be made transparent in image1. For example, suppose you would like to mask all the water pixels in the median composite. A water mask can be created using the dataset described by Hansen et al. (2013) which is in the Earth Engine data catalog.
Where can I find the water mask dataset?
A water mask can be created using the dataset described by Hansen et al. (2013) which is in the Earth Engine data catalog. (Learn more about the Hansen et al. dataset in this tutorial .)
How to reduce image collection to one image?
The following code uses reduce () to reduce the collection to one Image (here a median reducer is used simply for illustrative purposes): // Load an image collection, filtered so it’s not too much data. // Compute the median in each band, each pixel. // The output is an Image. Add it to the map.
How does masking work in Google Earth Engine?
Masking pixels in an image makes those pixels transparent and excludes them from analysis. Each pixel in each band of an image has a mask. Those with a mask value of 0 or below will be transparent. Those with a mask of any value above 0 will be rendered.
How to reduce imagecollection in Google Earth Engine?
// Load an image collection, filtered so it’s not too much data. // Compute the median in each band, each pixel. // The output is an Image. Add it to the map. This returns a multi-band Image, each pixel of which is the median of all unmasked pixels in the ImageCollection at that pixel location.