I was watching the 2014 Japanese movie Wood Job about forestry. They mention using GIS and even use a Trimble device out in the field. Just sharing because I don't see GIS represented very often in media.

https://www.imdb.com/title/tt2964120/?_ssoLoop=1

Subtitle: Fixes the current glaring errors in Google Maps when viewed from the USA, showing: "Lake Ontario" incorrectly labeled as "Lake America", and others.

Install

Chrome: https://chromewebstore.google.com/detail/maps-region-switcher/fmbelciakdlpbepnbjefifbjaopmgcfd

Firefox: [pending approval]

Created by me, using AI in the capacity I typically do for all software projects now. Specifically, for subject matter research (comprising the majority of the AI interactions during initial development), code generation, code refactoring, and overall app architecture guidance. Source available here:

https://github.com/mfcallahan/maps-region-switcher

There's not much to this, it's a Chrome extension and Firefox add-in that allows the user to set the region used to render the map tiles. This affects the labels shown: in the USA, you may see obviously incorrect labels on geographic features like "Lake America" and "Gulf of America." Everyone knows these are wrong, despite Google's best efforts to change the lexicon of geography 🙄

This extension does have a more practical purpose too, it is actually pretty useful for seeing what your applications that implement Google Maps will look like from an international audience's perspective. Useful for testing and internationalization/localization of your apps which use Google Maps.

It works by creating two static declarativeNetRequest (a Chrome API used to block or modify network requests) rules rewrite the gl url query parameter on Google Maps urls, which is not normally surfaced to the user, with a guard rule preventing redirect loops. The extension contains no content scripts, and no DOM hooks.

Why this approach? Google Maps bakes basemap labels into a WebGL canvas from vector tiles. There is no DOM node to rewrite, so the obvious approaches like overlaying a replacement label or patching the tiles which intersect the feature, won't work (and won't stay within the Google Maps terms of use).

Setting the region instead produces Google's own rendering with correct font, halo, placement, line-breaking, at every zoom level and extent. It also modifies none of Google's content, which matters for both the Maps terms and Chrome extension store review.

100% FOSS, do whatever you want with this, including ignore it.

I used SRTM data to create SVG's like this one of a mountains elevation profile. Every major line represents 100m and the whole space is 10x10 km.

Here is the link I would love you to test it out: https://visitwhale.com/peak-contours/

I was laid off from my GIS Technician position at the end of July. I've been looking for and applying to jobs since, but haven't secured a position yet.

My state's annual GIS conference is next month, and I'm planning to go to network, catch up with friends and alumni, and learn more about the new developments in the area. However, the registration form asks for my 'Company/Organization/University'. This is a required part of the form, so I can't leave it blank. Any suggestions for what I should put in this space?

I graduated a little over a year ago in Geography with GIS emphasis and currently work as a cadastral mapper for my county. Im NOT a fan of the work I do, but I loved GIS when I studied it in school, especially the analytical aspect of the projects.

Im thinking of switching over to the mining sector and have gotten some advice to think about getting a geology or earth science minor. I would be going back for just the minor. Curious if anyone works in the mining field and if they’d recommend this course of action.

I dislike my current job enough that I don’t want to work government (civil or federal) any longer and I’m seriously considering a change into IT if the only GIS jobs available are only government.

I have been building MapToCraft, a browser interface around the open-source Arnis generator.

The workflow is: choose a real-world area on an interactive map, draw the area of interest, and let Arnis convert OpenStreetMap vectors—such as roads, building footprints, water, and land use—together with elevation data into Minecraft blocks. The result can be downloaded as a Java Edition ZIP or an experimental Bedrock .mcworld.

The goal is to remove the local installation and setup steps and make geographic area selection easier for people who want to experiment with the generated worlds.

Browser tool: https://maptocraft.com/ Arnis source (Apache-2.0): https://github.com/louis-e/arnis

From a GIS perspective, I would appreciate feedback on the area-selection interface, sensible area and scale limits, and how clearly the site communicates that the output is a game-world interpretation rather than a survey-accurate reconstruction. I would also be interested in geographic edge cases that would be useful to test.

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Hi everyone,

I’m a final-year Geomatics/Surveying Engineering student planning a capstone project on post-war urban reconstruction and resilient infrastructure in Khartoum, Sudan.

I’m considering two approaches:

Option A — 3D City Modeling + BIM/GIS

\- Extract buildings from satellite/aerial imagery using ML/DL (e.g., U-Net)

\- Create a LoD1/LoD2 3D city model

\- Integrate GIS with Civil 3D/BIM

\- Develop a framework for reconstructing underground utilities and drainage

Option B — SAR + Hydrology + BIM/GIS

\- Use Sentinel-1 SAR for flood/surface-change detection

\- Combine DEMs and rainfall data for hydrological/runoff modeling

\- Identify flood-prone areas and surface-water accumulation

\- Use the results to plan conceptual drainage corridors in Civil 3D

My questions:

1. Which option has stronger academic and professional value?

2. Is Option B too ambitious for an undergraduate project, or should I focus deeply on one pipeline?

3. What free/open datasets would you recommend (Sentinel, GEE, ERA5, DEMs, OSM, etc.) given the difficulty of field validation?

4. What would be a good way to include ML/DL without turning the project into an AI project?

I’d especially appreciate advice from professionals/researchers in GIS, remote sensing, surveying, hydrology, BIM, or post-disaster reconstruction.

My goal is to produce something technically realistic that could contribute to future reconstruction efforts in Sudan.

Thank you!

How do i get remote GIS projects to do. I am based in South Africa. I have experience in Spatial Data Analysis, Mobile programming, Web maps, Postgres/Postgis and cartography.