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Always make a tiny example before trying something on 325 layers of a zillion pixels: > r1 = raster(matrix(seq(32,212,len=12),3,4)) > r2 = raster(matrix(sample(seq(32,212,len=12)),3,4)) > r3 = raster(matrix(sample(seq(32,212,len=12)),3,4)) > s = stack(r1,r2,r3) > plot(s) Then you can do arithmetic on raster stacks and it works on a pixel-by-...


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Try this code. It creates a sorted csv (csv_sorted) and appends two new columns: 'time_seconds' and 'trip_id'. import pandas as pd import numpy as np def getSec(time): return sum(x * int(t) for x, t in zip([1, 60, 3600], reversed(time.split(":")))) # Read in csv my_file = r"C:\Users\Jon\Desktop\output2019_05_25-11.csv" csv = pd.read_csv(my_file, ...


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NDVI Time Series can be done with LandViewer via built in interface. 1.You would need to locate an area of your interest and mark it with AOI tool Hit “time series” analysis icon on the left and set parameters needed Once done you will be able to export the data wherever needed as multiple formats are support such as KML, geoJSON, CSV, SHP, WMS and more


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