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sshuair
awesome-gis
Developer Tools2019–2024
sshuair / awesome-gis

awesome-gis

😎Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more.

2Distinct people
2Mentions
0Explicit recommenders
5.6KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

😎Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year2 dated mentions

Observed mentions: 2019-10-06 09:23:17 UTC to 2024-02-11 04:27:07 UTC.

012019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC101
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC101

What Hacker News says

2 sources
I imagine it would - it seems to be a modern version evolved from ERMapper of the late 1980s | early 1990s that did exactly this kind of work. ERMapper was a program that could pipe in many raw input multi channel data files from satellite | aircraft | other sources along with an "algorithm" file that described what to do. One part of the task is to geo mosaic and merge data from seperate files together so that per output location there is an awareness of what cells are local to that output, the cell dimensions, type of data, channel, etc. The algorithm part is to (say) combine data from channels 3, 7, and 9 using a particular filter and to adjust (say) for rayleigh scattering. Such programs are geospatially aware spreadsheet programs that pipe in raw data an pipe out "cooked" or processed data. When the GeoColor scientific papers you lin
Read the rest
ked talk about the filtering operations they do on channel data they very likely are not "coding" in the sense of writing C code - but constructing "algorithms" by specifying which mathematics operations to perform on input channel data and writing that out in the algorithm file*. * Which a pre existing program (perhaps ERDAS Imagine) reads and applies to it's input data, the raw captures from the satellites. Yes, I wrote such things 35+ years ago, no I'm not in the field today and don't have a copy of ERDAS Imagine. I'm not sure what the state of art for open source geomosaic software is these days - something like https://github.com/sshuair/awesome-gis might help to wind your way into the right kinds of geopspatial forums to discuss further, get references, etc.
In Receiving weather satellite images using SatDump

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