Var saturationMask = lect('QA_RADSAT').eq(0) (See the Reducers section for more information about reducers). The length of the median can be calculated using the formula: m a 2 b 2 + 2 c 2 a 2 4. Each triangle has three medians, the point of intersection of the medians is called the centroid.
The 3 medians will divide the triangle into 6 equal triangles.
This will composite all the images in the collection to a single image representing, for example, the min, max, mean or standard deviation of the images. The median divides the triangle into two triangles of equal areas. Var qaMask = lect('QA_PIXEL').bitwiseAnd(parseInt('11111', 2)).eq(0) To composite images in an ImageCollection, use imageCollection.reduce (). Develop masks for unwanted pixels (fill, cloud, cloud shadow). Function for masking low-quality pixels Var l8Filt = l8.filterBounds(aoi).filterDate(startDate, endDate)
IMAGE OF MEDIAN GEOMETRY HOW TO
But there is some discrepancies and problematic patches in the composite which I don't know how to handle.įor comparison, I make 2 composite, one with GM and the other with classical median. There is a reducer in GEE to compute GM, ee.Reducer.geometricMedian, and I tried it on my image collection. This is another option (like median or medoid) for creating a composite for time series analysis (more detail on GM can be found in this paper). I am trying to make an image composite from Landsat 8 collection 2 based on Geometric Median (GM) algorithm.
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