Like the title says we are stepping up our figures game in our office, we do environmental due diligence and remediation. Just bought a trimble da2 catalyst and looking at what software to run to generate the best figures. Any suggestions?

I need western Sydney GIS data for different use cases like:

• Land use and structure

• Street Hierarchy Map

• Zoning

• Height of building

• Floor Space Ratio

and many other types of data, but I'm doing research for 2 weeks now and not able to find the latest and valid data.

Can anyone please guide me? It's very Urgent Please.

Been working on 'Rasteret' since the last 2 months, its out now as an early beta release.

More details in blog, but here's a sneek peak - its faster than that "popular web-based geo platform, which shall not be named" 😉 for time-series querying - https://blog.terrafloww.com/rasteret-a-library-for-faster-and-cheaper-open-satellite-data-access/

Open to feedback and contributions, there is much more exciting work to do!

If you like it and want to follow its developments, ⭐ it on Github - https://github.com/terrafloww/rasteret

Anyone used a data labeling tool like this: https://youtu.be/xyoUZL1XkZ4?si=Uuq-ByjmrumZU-iT or something similar? Would love to hear your experience and how useful it was and if you have any specific recommendation

PS: I'm new here, I'm sorry if this is not very relevant here, please let me know if that's the case

Is there any availability in freelance work related to GIS in order to build up a resume while going to school? Or is there some kind of portfolio I could make of projects I've worked on just for fun?

I'm a GIS student wondering where to look for the highest paying Geospatial jobs.

What industries? Companies? Govt jobs?

I did a GIS internship last summer and a full time coworker, recent grad, wasn't making much money so wondering where to look and explore employment after I graduate

Thanks

Hello,

I am working on a project that requires the transmit power ranges for all the different BeiDou satellites. Additionally, I am looking for publicly available information that maps individual satellite IDs to their corresponding models. For example, I would like to determine the exact model (e.g., BDS-2 or BDS-3) of a satellite based on its ID number, similar to identifying the model of a GPS satellite using its ID.

If anyone knows of resources, databases, or datasets that could help with this, I would greatly appreciate your assistance.

Thank you in advance!

Does anyone have a promo code they could share for Geo Week?

https://www.geo-week.com/?gad_source=1&gclid=CjwKCAiAp4O8BhAkEiwAqv2UqMq0pzxI8LB660jefwEBsXWE0UGb1ZtOx0GRM56bm2tyVjJCTsOqhxoCNncQAvD_BwE

Hello,

I'm working with a spreadsheet of average pixel values for ~50 different polygons (is geospatial data). Each polygon has an associated standard deviation and a unique pixel count. Below are five rows of sample data (taken from my spreadsheet):

Most of the STD values are on the order of 10^-3, as you can see from 4 of them here. But when I go to calculate the average standard deviation for the spreadsheet, I end up with a value more on the order of 10^-5. It doesn't really make sense that it would be a couple orders of magnitude smaller than most of the actual standard deviations in my data, so I'm wondering if anyone has a good workflow for calculating an average standard deviation from this type of data that better reflects the actual values. Thanks in advance.

Working on a new geospatial application with a SQL server database. We are storing different polygons from across North America to cover delivery areas. For speed we're looking at switching to geometry. However at times we may need the accuracy of geography. Does anyone store both? And are their risks to converting all the polygons to geometry for calculations and lat long lookups? Thanks in advance!

https://preview.redd.it/x60n11tji67e1.jpg?width=4032&format=pjpg&auto=webp&s=631098a86cec52fd9c1371d0ab7e803f24748711

This year, I worked extensively with georeferenced audio data, exploring the soundscapes of Poland's middle Pilica River basin.

After capturing around 2,200 hours of audio samples using AudioMoth devices, I became increasingly convinced of the immense value in integrating soundscape data into multimodal geospatial analysis.

If you're curious, grab your headphones and check out my latest blog post

https://preview.redd.it/k7b21vtej67e1.jpg?width=1500&format=pjpg&auto=webp&s=3f60bf18d1cbe9aaccff89f0c9510e3e4b35f58a

Hi everyone,

My wife and I are looking to move home soon - life has led us to living in an area that is far from our jobs and family. Essentially we live near old jobs that we no longer work in.

Based on this we are looking to move but are hoping to be in between out job location and family. We would like to work out what areas would be within 30 minutes of Sunbury on Thames (post code TW16) and one hour of Kent (post code DA11). Could anyone support this ask? Would be very grateful.

Thank you!

https://i.redd.it/w66u7rz4ad5e1.gif

Creating 3D Terrain Maps from GeoTIFF Files with Three.js

I'm a complete newbie in geospatial analysis and want to learn it through. I've heard often enough that data-labeling is the most tedious and time taking task in this space and wanted to do a project in the same to learn it. Any suggestions where to begin and what could be an interesting thing to do? Please share some links from where I could begin. Also, would a labeling project be a good place to begin in the first place?

PS: My final aim is to start building a copilot for GIS. I know there are somewhat successful attempts at making copilots for things like CAD etc, NOT something that does everything itself but makes everyday life easier. What would the starting point for a copilot for GIS?

Hi all! I work at a tech startup and am new to the GIS world. We're trying to get more insight into the geospatial space so I put together a brief survey to get some feedback on geospatial pain points/challenges. I'm also curious as to what some of the best learning sources and communities to integrate into are? I know of some Coursera courses that are often recommended but open to any other sources!