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Improved frontend, displayed proper alerts,SRTM & Aster DEM included
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,109 +1,23 @@ | ||
| import gdal | ||
| import affine | ||
| import numpy as np | ||
| import rasterio | ||
| import utm | ||
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| urls = [ | ||
| './19971001/19971001_B1.TIF', | ||
| './19971017/19971017_B1.TIF', | ||
| './19971102/19971102_B1.TIF', | ||
| './19971118/19971118_B1.TIF', | ||
| './19981004/19981004_B1.TIF', | ||
| './19981020/19981020_B1.TIF', | ||
| './19981105/19981105_B1.TIF', | ||
| './19981121/19981121_B1.TIF', | ||
| './19981207/19981207_B1.TIF', | ||
| './19981223/19981223_B1.TIF', | ||
| './19991124/19991124_B1.TIF', | ||
| './19991226/19991226_B1.TIF', | ||
| './20081015/20081015_B1.TIF', | ||
| './20081031/20081031_B1.TIF', | ||
| './20081116/20081116_B1.TIF', | ||
| './20081202/20081202_B1.TIF', | ||
| './20081218/20081218_B1.TIF', | ||
| './20091102/20091103_B1.TIF', | ||
| './20091119/20091119_B1.TIF', | ||
| './20091205/20091205_B1.TIF', | ||
| './20101021/20101021_B1.TIF', | ||
| './20101106/20101106_B1.TIF', | ||
| './20101208/20101208_B1.TIF', | ||
| './20101224/20101224_B1.TIF', | ||
| './20111024/20111024_B1.TIF', | ||
| './20111109/20111109_B1.TIF', | ||
| './20171016/20171016_B1.TIF', | ||
| './20171101/20171101_B1.TIF', | ||
| './20171117/20171117_B1.TIF', | ||
| './20171203/20171203_B1.TIF', | ||
| './20171219/20171219_B1.TIF', | ||
| './20181003/20181003_B1.TIF', | ||
| './20181010/20181010_B1.TIF', | ||
| './20181019/20181019_B1.TIF', | ||
| './20181026/20181026_B1.TIF', | ||
| './20181104/20181104_B1.TIF', | ||
| './20181127/20181127_B1.TIF', | ||
| './20181222/20181222_B1.TIF' | ||
| ] | ||
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| def pixel2coord(col, row, a): | ||
| """Returns global coordinates to pixel center using base-0 raster index""" | ||
| xp = a[1] * col + a[2] * row + a[1]* 0.5 + a[2] * 0.5 + a[0] | ||
| yp = a[4]* col + a[5] * row + a[4]* 0.5 + a[5]* 0.5 + a[3] | ||
| return(xp, yp) | ||
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| # latitudes and longitude values of the rectangular region | ||
| lat1=29+(23/60)+(29/3600) | ||
| lng1=79+(27/60)+(58/3600) | ||
| lat2=29+(23/60)+(28/3600) | ||
| lng2=79+(27/60)+(9/3600) | ||
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| lat3=29+(22/60)+(45/3600) | ||
| lng3=79+(27/60)+(9/3600) | ||
| lat4=29+(22/60)+(44/3600) | ||
| lng4=79+(27/60)+(59/3600) | ||
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| [easting1,northing1,zoneNumber1,zoneLetter1] = utm.from_latlon(lat1, lng1) | ||
| [easting2,northing2,zoneNumber2,zoneLetter2] = utm.from_latlon(lat2, lng2) | ||
| [easting3,northing3,zoneNumber3,zoneLetter3] = utm.from_latlon(lat3, lng3) | ||
| [easting4,northing4,zoneNumber4,zoneLetter4] = utm.from_latlon(lat4, lng4) | ||
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| e=easting1-easting2 | ||
| n=northing2-northing3 | ||
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| imgNum = 3 | ||
| bandnum = [1,2,3,4,5,6,7] | ||
| year= 1 | ||
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| cube=np.full((1350,1350,20,7),None) | ||
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| for x in range(0,imgNum): | ||
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| img = gdal.Open(urls[x]) | ||
| imgGeoTransf = img.GetGeoTransform() | ||
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| row = img.RasterYSize | ||
| col = img.RasterXSize | ||
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| bandNo = int(urls[x][-5]) | ||
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| for i in range(0,row): | ||
| for j in range(0,col): | ||
| utm=pixel2coord(j,i,imgGeoTransf) | ||
| utmX=int(utm[0]) | ||
| utmY=int(utm[1]) | ||
| if((utmY>easting1 and utmY<easting2) and (utmX>northing1 and utmX<northing4)): | ||
| cube[utmX][utmY][year][bandNo]=img.GetRasterBand(1).ReadAsArray()[i][j] | ||
| print(cube[utmX][utmY][year][bandNo],end=' ') | ||
| else: | ||
| print('sed',end=' ') | ||
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| import json | ||
| import numpy as np | ||
| import datacube | ||
| import requests | ||
| import xarray | ||
| import pandas as pd | ||
| import geopy.distance | ||
| from osgeo import gdal,ogr | ||
| import datacube | ||
|
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| dc = datacube.Datacube() | ||
| lat = 10 | ||
| lng = 10 | ||
| query = { | ||
| 'time': ('1995-01-01', '2219-12-12'), | ||
| 'lat': (lat,lat), | ||
| 'lon': (lng,lng) | ||
| } | ||
| products = ['ls7_level1_usgs', 'ls5_level1_usgs'] | ||
| # find similarly named measurements | ||
| measurements = set(dc.index.products.get_by_name(products[0]).measurements.keys()) | ||
| for prod in products[1:]: | ||
| measurements.intersection(dc.index.products.get_by_name(products[0]).measurements.keys()) |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,21 @@ | ||
| import json | ||
| import numpy as np | ||
| import datacube | ||
| import requests | ||
| import xarray | ||
| import pandas as pd | ||
| import geopy.distance | ||
| from osgeo import gdal,ogr | ||
| import datacube | ||
|
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| dc = datacube.Datacube() | ||
| query = { | ||
| 'time': ('1995-01-01', '2219-12-12'), | ||
| 'lat': (lat,lat), | ||
| 'lon': (lng,lng) | ||
| } | ||
| products = ['ls7_level1_usgs', 'ls5_level1_usgs'] | ||
| # find similarly named measurements | ||
| measurements = set(dc.index.products.get_by_name(products[0]).measurements.keys()) | ||
| for prod in products[1:]: | ||
| measurements.intersection(dc.index.products.get_by_name(products[0]).measurements.keys()) |
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