Python script that can be used to generate latitude/longitude coordinates for GOES-16 full-disk extent.

Overview

goes-latlon

Python script that can be used to generate latitude/longitude coordinates for GOES-16 full-disk extent. 🌎 🛰️

The grid files can be accessed in this repository from the data directory.

Install

Clone the repository:

git clone https://github.com/uba/goes-latlon.git

Go to the source code folder:

cd goes-latlon

Install:

pip3 install -r requirements.txt

Usage

python generate-all.py

The script will generate latitude/longitude values for GOES-16 full-disk extent and save result to the data directory.

The result is a set of netCDF files for each spatial resolution (1.0, 2.0, 4.0 and 10 kilometers).

Basically, each file contains grids for latitude and longitude that is the same size as the data array in the GOES netCDF file (e.g. CMI array). netCDF file is encoded using int16 datatype, scale_factor and add_offset attributes.

  • data/goes16-full-disk-lat-lon-1.0km.nc
  • data/goes16-full-disk-lat-lon-2.0km.nc
  • data/goes16-full-disk-lat-lon-4.0km.nc
  • data/goes16-full-disk-lat-lon-10.0km.nc

Read Example

from netCDF4 import Dataset

# Define path to [lat,lon] grid file
path = './data/goes16-full-disk-lat-lon-2.0km.nc'

# Open using netCDF4 package
nc = Dataset(path)

# Get values
lat_values = nc.variables['lat'][:]
lon_values = nc.variables['lon'][:]

nc.close()

Data Preview

Latitudes - 2km (5424 x 5424) Longitudes - 2km (5424 x 5424)

Note: Currently GOES-16 satellite is positioned at longitude -75.0, latitude 0.0.

References

GOES-R SERIES PRODUCT DEFINITION AND USERS’ GUIDE (PUG) | https://www.goes-r.gov/products/docs/PUG-L2+-vol5.pdf - Session 4.2.8.1: Navigating from N/S Elevation Angle (y) and E/W Scanning Angle (x) to Geodetic Latitude (φ) and Longitude (λ)

Joshua Hrisko - GOES-R Satellite Latitude and Longitude Grid Projection Algorithm. https://makersportal.com/blog/2018/11/25/goes-r-satellite-latitude-and-longitude-grid-projection-algorithm

Geostationary Satellite View - https://proj.org/operations/projections/geos.html

Owner
Douglas Uba
Douglas Uba
🌐 Local tile server for viewing geospatial raster files with ipyleaflet

🌐 Local Tile Server for Geospatial Rasters Need to visualize a rather large raster (gigabytes) you have locally? This is for you. A Flask application

Bane Sullivan 192 Jan 04, 2023
Extract GoPro highlights and GPMF data.

Python script that parses the gpmd stream for GOPRO moov track (MP4) and extract the GPS info into a GPX (and kml) file.

Chris Auron 2 May 13, 2022
Read and write rasters in parallel using Rasterio and Dask

dask-rasterio dask-rasterio provides some methods for reading and writing rasters in parallel using Rasterio and Dask arrays. Usage Read a multiband r

Dymaxion Labs 85 Aug 30, 2022
LEOGPS - Satellite Navigation with GPS on Python!

LEOGPS is an open-source Python software which performs relative satellite navigation between two formation flying satellites, with the objective of high accuracy relative positioning. Specifically,

Samuel Low 50 Dec 13, 2022
prettymaps - A minimal Python library to draw customized maps from OpenStreetMap data.

A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

Marcelo de Oliveira Rosa Prates 9k Jan 08, 2023
Client library for interfacing with USGS datasets

USGS API USGS is a python module for interfacing with the US Geological Survey's API. It provides submodules to interact with various endpoints, and c

Amit Kapadia 104 Dec 30, 2022
Earthengine-py-notebooks - A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

earthengine-py-notebooks A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping Contact: Qiushen

Qiusheng Wu 1.1k Dec 29, 2022
Code and coordinates for Matt's 2021 xmas tree

xmastree2021 Code and coordinates for Matt's 2021 xmas tree This repository contains the code and coordinates used for Matt's 2021 Christmas tree, as

Stand-up Maths 117 Jan 01, 2023
Asynchronous Client for the worlds fastest in-memory geo-database Tile38

This is an asynchonous Python client for Tile38 that allows for fast and easy interaction with the worlds fastest in-memory geodatabase Tile38.

Ben 53 Dec 29, 2022
Ingest and query genomic intervals from multiple BED files

Ingest and query genomic intervals from multiple BED files.

4 May 29, 2021
Simple CLI for Google Earth Engine Uploads

geeup: Simple CLI for Earth Engine Uploads with Selenium Support This tool came of the simple need to handle batch uploads of both image assets to col

Samapriya Roy 79 Nov 26, 2022
Water Detect Algorithm

WaterDetect Synopsis WaterDetect is an end-to-end algorithm to generate open water cover mask, specially conceived for L2A Sentinel 2 imagery from MAJ

142 Dec 30, 2022
r.cfdtools 7 Dec 28, 2022
ESMAC diags - Earth System Model Aerosol-Cloud Diagnostics Package

Earth System Model Aerosol-Cloud Diagnostics Package This Earth System Model (ES

Pacific Northwest National Laboratory 1 Jan 04, 2022
Expose a GDAL file as a HTTP accessible on-the-fly COG

cogserver Expose any GDAL recognized raster file as a HTTP accessible on-the-fly COG (Cloud Optimized GeoTIFF) The on-the-fly COG file is not material

Even Rouault 73 Aug 04, 2022
An API built to format given addresses using Python and Flask.

An API built to format given addresses using Python and Flask. About The API returns properly formatted data, i.e. removing duplicate fields, distingu

1 Feb 27, 2022
The geospatial toolkit for redistricting data.

maup maup is the geospatial toolkit for redistricting data. The package streamlines the basic workflows that arise when working with blocks, precincts

Metric Geometry and Gerrymandering Group 60 Dec 05, 2022
Imperial Valley Geomorphology Map

Roughly maps the extent of basins, basin edges, and mountains in the Imperial Valley by grouping terrain classes from the Iwahashi et al. 2021 California terrian classification model.

0 Dec 13, 2022
Get Landsat surface reflectance time-series from google earth engine

geextract Google Earth Engine data extraction tool. Quickly obtain Landsat multispectral time-series for exploratory analysis and algorithm testing On

Loïc Dutrieux 50 Dec 15, 2022
A Python framework for building geospatial web-applications

Hey there, this is Greppo... A Python framework for building geospatial web-applications. Greppo is an open-source Python framework that makes it easy

Greppo 304 Dec 27, 2022