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aolinto
/ MODISA_sst_grid.R
Last active
February 12, 2021 22:03
R script to extract Aqua MODIS SST statistics from a nc file based on a multi-feature shapefile
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| # Antonio Olinto Avila-da-Silva, Instituto de Pesca, Brasil | |
| # https://gist.github.com/aolinto/2099bbf7af343e2b9f919f5317c508b9 | |
| # script to process Aqua MODIS Sea Surface Temperature | |
| # files downloaded from https://oceancolor.gsfc.nasa.gov/cgi/l3 | |
| # Aqua MODIS Sea Surface temperature 11 µ daytime Monthly 4 km SMI images or | |
| # Aqua MODIS Sea Surface temperature 11 µ nigthtime Monthly 4 km SMI images | |
| # all .L3m_MO_SST_sst_4km.nc (daytime) or .L3m_MO_NST4_sst4_4km (nigthtime) | |
| # files must be in the working directory | |
| # the script will open each nc file to read date information | |
| # the script will also transform nc file to raster, read sst data |
aolinto
/ COPERNICUS_sss_pol.R
Last active
August 11, 2020 03:17
R script to extract COPERNICUS sea surface salinity data from a polygon
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| # Antonio Olinto Avila-da-Silva, Instituto de Pesca, Brasil | |
| # https://gist.github.com/aolinto/59e43cdbac3ff3e0cd5eb2eab5efcbc4 | |
| # script to process COPERNICUS Sea Surface Salinity | |
| # product MULTIOBS_GLO_PHY_REP_015_002 | |
| # nc file downloaded from | |
| # http://marine.copernicus.eu/services-portfolio/access-to-products/?option=com_csw&view=details&product_id=MULTIOBS_GLO_PHY_REP_015_002 | |
| # dataset-sss-ssd-rep-monthly sos variable | |
| # the script will transform nc file to stack raster, read sss data | |
| # for a given area, compute its statistics and write them into | |
| # a single csv file named COPERNICUS_sss.csv |
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| # https://oceancolor.gsfc.nasa.gov/forum/oceancolor/topic_show.pl?tid=3081 | |
| # https://oceancolor.gsfc.nasa.gov/cgi/l3 | |
| # Aqua MODIS Chlorophyll-a OCI Monthly 4 km | |
| wget -q --post-data="sensor=aqua&sdate=2002-01-01&edate=2018-07-31&dtype=L3m&addurl=1&results_as_file=1&search=A*L3m_MO_CHL_chlor_a_4km.nc" -O - https://oceandata.sci.gsfc.nasa.gov/api/file_search |wget -i - | |
| # Aqua MODIS Sea surface temperature 11 µ nighttime Monthly 4 km | |
| wget -q --post-data="sensor=aqua&sdate=2008-01-01&edate=2018-07-31&dtype=L3m&addurl=1&results_as_file=1&search=A*L3m_MO_NSST_sst_4km.nc" -O - https://oceandata.sci.gsfc.nasa.gov/api/file_search |wget -i - | |
| # Aqua MODIS Sea surface temperature 11 µ daytime Monthly 4 km |
aolinto
/ fishing_area.R
Created
August 24, 2018 13:25
Selects fishing area squares per trip and calculates their centroids
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| # ==================================================================== | |
| # Selects fishing area squares per trip and calculates their centroids | |
| # author: Antônio Olinto Ávila da Silva | |
| # creation: 2018-08-24 | |
| # last edition: 2018-08-24 | |
| # ==================================================================== | |
| # prepare workspace | |
| library(rgdal) | |
| library(rgeos) |
aolinto
/ MODISA_chl_pol.R
Last active
August 11, 2020 03:21
R script to extract Aqua MODIS Chlorophyll statistics from a nc file based on a polygon
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| # Antonio Olinto Avila-da-Silva, Instituto de Pesca, Brasil | |
| # https://gist.github.com/aolinto/b1414f94a0891d9e5d580d0436db8495 | |
| # script to process Aqua MODIS Clorophyll Concentration data | |
| # files downloaded from https://oceancolor.gsfc.nasa.gov/cgi/l3 | |
| # Aqua MODIS Clorophyll Concentration, OCI Algorithm Monthly 4 km SMI images | |
| # all .L3m_MO_CHL_chlor_a_4km.nc files must be in the working directory | |
| # the script will open each nc file to read date information | |
| # the script will also transform nc file to raster, read chl data | |
| # for a given area, compute its statistics and write them into | |
| # a single csv file named MODISA_chl.csv |
aolinto
/ MODISA_sst.R
Last active
January 4, 2023 16:57
R script to extract Aqua MODIS Sea Surface Temperature data from a nc file
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| # Antonio Olinto Avila-da-Silva, Instituto de Pesca, Brasil | |
| # ver 2016-05-17 | |
| # https://gist.github.com/aolinto/79e184f6c156c6ab21b3 | |
| # script to process Aqua MODIS Sea Surface Temperature | |
| # files downloaded from http://oceancolor.gsfc.nasa.gov/cgi/l3 | |
| # Aqua MODIS Sea Surface temperature 11 u daytime Monthly 9 km SMI images | |
| # all .L3m_MO_SST_sst_9km.nc files must be in the working directory | |
| # the script will open each nc file, read date, lon, lat and sst data, | |
| # then select data from specified area and write them into | |
| # a single csv file named MODISA_sst.csv |
erans
/ get_lat_lon_exif_pil.py
Created
May 20, 2011 21:16
Get Latitude and Longitude from EXIF using PIL
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| from PIL import Image | |
| from PIL.ExifTags import TAGS, GPSTAGS | |
| def get_exif_data(image): | |
| """Returns a dictionary from the exif data of an PIL Image item. Also converts the GPS Tags""" | |
| exif_data = {} | |
| info = image._getexif() | |
| if info: | |
| for tag, value in info.items(): | |
| decoded = TAGS.get(tag, tag) |