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| import os | |
| import fire | |
| import h5py | |
| import glob | |
| import tqdm | |
| import numpy as np | |
| import pandas as pd | |
| # requires h5py, tqdm, fire, numpy, and pandas to run |
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| import math | |
| def dd2dms(dd): | |
| if dd < 0: | |
| degrees = math.ceil(dd) | |
| else: | |
| degrees = math.floor(dd) | |
| minutes = 60 * (dd%1) | |
| seconds = 60 * (minutes%1) |
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| #!/usr/bin/env python3 | |
| # -*- coding: utf-8 -*- | |
| """ | |
| vrg2timeseries.py, SERVIR-Mekong (2017-07-26) | |
| Downloads data from SERVIR-Mekong's Virtual Rain and Stream Gauge (VRSG) | |
| (vrsg-servir.adpc.net) and calculates a time series of the daily data over | |
| an area | |
| ______________________________________________________________________ |
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| import numpy as np | |
| def dd2meters(inPt,scale=0.1): | |
| """Function to convert decimal degrees to meters based on the approximation | |
| given by: https://en.wikipedia.org/wiki/Geographic_coordinate_system | |
| Args: | |
| inPt (list or array): A Y,X point provided in geographic coordinates | |
| in that order. |
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| #***************************************************************************** | |
| # FILE: grid_amsrL2Swath.py | |
| # AUTHOR: Kel Markert | |
| # EMAIL: [email protected] | |
| # MODIFIED BY: N/A | |
| # ORGANIZATION: UAH/ESSC | |
| # CREATION DATE: 02/10/2017 | |
| # LAST MOD DATE: 02/11/2017 | |
| # PURPOSE: This scripts takes LANCE L2 swath AMSR2 data from GHRC, grids the | |
| # data, and outputs a geotiff |
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| import datetime | |
| import xmltodict | |
| import numpy as np | |
| import pandas as pd | |
| """ | |
| XML metata data file is take from https://landsat.usgs.gov/landsat-bulk-metadata-service | |
| """ | |
| # Define input files |
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| import os | |
| import glob | |
| import urllib2 | |
| import numpy as np | |
| outFolder = "J:/africa_srtm/org_zip/" #change output path | |
| lats = np.arange(-35,33)#change lat bounds | |
| lons = np.arange(-18,52)#change lon bounds |
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