Hello folks!

I am fairly new to all things geospatial, however my current employer has a need for someone to adopt our geospatial stack and I am looking to make improvements.

Currently we leverage a lot of Esri services and tools and those costs have ballooned, their m2 storage recent price hike, double costs for us.

Our current stack is as follows: Our android application does an address lookup with googleapis, then based on the gecoded response, we hit our Esri m2 storage for a shapefile that crosses with our response, in order to give us the shape of a particular building at an address.

Currently I was looking into moving away from Esri, and setup a AWS RDS postgres db with postgis extension and a geo server in front of it, since our android app uses the esri runtime sdk to talk to the wfs server from geoserver. This will then do the same thing where it will return a building shape depending on the address.

I've been reading a bit about geoparquet from overturemaps, and since we are already using overture, is there any way to simplify this process? Id love to not have to store hundreds of gigs of shapefiles in S3 and build out this postgis system and maintain it.

I have limited knowledge of duckdb, but would it be possible, to setup a duckdb server, query overture release for a geoparquet with few features and still return building shapes to the app through wfs?

Looking for some advice from people that are more well versed on this topic than I am.

Thanks in advance!

I'm thinking about developing an application that would be al a carte, Uber surge pricing.

It takes a businesses context (say ride sharing), a number of points on a map (in this case the lat and long of drivers and passengers), their operating areas (radius per point)

Then, returns analytics like price suggestions for riders.

This would be repurposable based on the business context input, say the client wanted to understand the implications of putting two species of plants within a given operating area, or vehicles in a fulfillment services (like DHL).

I’ve been having some difficult feelings lately, and I don’t really have anyone in my immediate circle—especially not anyone in the sciences—to talk to. So here I am, hoping for some words of support or a reality check.

I’m 36 and have spent my whole career in marketing as a content creator. After several years of existential crisis, I’ve felt a deep need to change careers.

I’ve always been fascinated by science but never seriously considered the possibility of being part of it. But in times of crisis, many things become questionable, including this long-standing limitation. That’s why I decided to try: I started auditing courses at a science university, curious to see how much of a latent scientist I might be. Well, it turns out, not all that much. Most of the classes I attend are difficult for me, as I often struggle with abstract concepts.

At the same time, I’m tech-savvy, have basic knowledge of Python and machine learning. That’s why one class in particular—remote sensing of the environment—feels suspiciously accessible.

It’s still early days, but I’ve already found myself imagining that this field could open an entirely new world to me—one I never thought I could be part of. Compared to this, my old career seems so bleak—I can’t imagine going back.

I see a community of people doing something meaningful, and I imagine myself playing my small humble role in it.

But is this fantasy I have at all realistic? The idea that it might be possible to focus very narrowly—to study remote sensing, machine learning, and bits of other related fields like spectrometry and geology, but only as they relate to remote sensing—and then find a job in the field without a science degree?

Am I kidding myself?

I’m not looking to take opportunistic shortcuts or avoid hard work, but I’m also honest about my situation: I don’t have 4–6 unpaid years to dedicate to a degree, nor do I think I have the kind of brain needed to fully master traditional science.

Thank you for taking the time to read this. Whether you have words of support or of realistic discouragement, I’d deeply appreciate your honest thoughts.

And here are some more specific questions:

• Has anyone here transitioned into a field like remote sensing without a scientific background?

• Do roles exist where such a narrow focus might be enough? If so, where should I look?

• Are there other specific areas in science I should explore if I pursue Earth remote sensing?

TL;DR: A humanitarian with experience in digital image processing and basic coding skills wants to transition into remote sensing. Wondering if it’s realistic to do so without a full science degree. Seeking advice and reality checks.

Keen to understand some popular options for building interactive maps for websites.

I've been using Plotly a fair bit, just in Jupyter Notebooks, and note they have 'Dash Open Source.' Looking around at various bits and pieces on the web and I note that lots of developers seemingly opt for Mapbox.

I am basically after a comprehensive, cost-effective stack that I can spin up data viz tools with (and in particular maps).

Mostly used to LAMP environments and have 'decent' HTML/CSS/JS skills.

Would love to hear some suggestions :)

Guys please help me find more presenters. The deadline to submit an abstract has been extended! You don’t need to be a pro speaker or have fancy slides—just bring your authentic self and your story. Introverts and first-timers are especially welcome!

New deadline: November 22

Submit here: https://www.esri.com/en-us/about/events/esri-energy-resources-gis-conference/get-involved/call-for-presentations

Conference date: April 29–May 1, 2025

Hi everyone! I just released a new YouTube tutorial on Deep Learning for Flood Mapping. In it, I discuss using U-Net for flood image segmentation and enhancing model interpretability with Grad-CAM. If you’re interested in geospatial analysis, machine learning, or explainable AI, this tutorial might interest you.

In this video, you’ll learn how to:

Apply U-Net for accurate flood image segmentation. Convolutional neural networks (CNNs) are used for high-resolution satellite imagery. Implement Grad-CAM to visualize and interpret what the model "sees" in the flood predictions. Work with a real-world Kaggle dataset featuring 290 annotated flood images.

🎥 Check it out here! https:

https://youtu.be/F_tTPpqmm38

I’d love to hear your feedback or answer any questions you might have. I hope you find this helpful!

#DeepLearning #FloodMapping #ExplainableAI #GradCAM #GeospatialAnalysis #MachineLearning

Hey r/geospatial,

Anvil Labs is hosting a free webinar where they'll go over some of the common challenges in drone operations and ways to optimize workflows, including managing 360° photos, orthomosaics, 3D models, thermal imagery, and more. It’s an interactive session, so you’re welcome to ask questions throughout.

Date: Wednesday, November 13, 2024
Time: 1:00 pm – 2:00 pm EST

Here’s what’s on the agenda:

• Introduction to Anvil Labs
• Common Challenges We’ve Seen
• Discuss Your Current Operations
• How We Can Help
• Live Demo
• Next Steps

Register here: https://lu.ma/y4fgqann

https://preview.redd.it/hfe1c4k5bj0e1.png?width=1080&format=png&auto=webp&s=61819ccfd5510c81b76ae22a14d7fb710a1c2c1a

Training sessions will be available in English and Spanish (disponible en español).

English (November 19 & 21): https://go.nasa.gov/3BefXOl

Spanish (7 y 9 de enero [January]): https://go.nasa.gov/47zcAxD

I’m currently seeking a job switch in the GIS domain but have faced challenges after 1.5 years. With over 8 years of experience as a GIS engineer, my work has primarily focused on generating maps for master planning projects. I’m eager to learn modern GIS tools to enhance my skill set.

I have expertise in web GIS visualization with Python, data engineering and workflow automation using Python, FME, ArcPy, and remote sensing through the Google Earth Engine Python API. Despite these skills, I’m struggling to find sufficient job opportunities.

What modern tools should I focus on to improve my marketability and salary? Additionally, what remote opportunities or roles should I target to work with cutting-edge technology in the GIS field and stay updated?

i need an app thats flexible, works on iOS and webapp (android as well not a requirement but a nice to have) is free and can use KML files any recommendations?

If you are interested in or use cloud-native geospatial formats, a virtual event on November 13th is an excellent opportunity to learn more and network with the people involved in these initiatives.

More info and registration:

https://cloudnativegeo.org/events/virtual-conference-2024/

Section, Township, Range, Land Lot, District... ***AND*** other forms of delineation at a similar scale.

I work for a civil engineering firm that requests to have this information displayed, when possible, on our construction drawings. IF the section, township, range are not available (like in colonial states)- I've been asked to include "whatever the local area uses". The problem is, I don't know what "other options" are available as delineating zones that are of a similar scale to "Section, Township, Range".

I'm looking for resources to better understand these topics. It would be nice to see some maps of the zones and some form of text document that breaks down what zones exist, where, and why they were chosen (so I have rules to apply to know when to use certain delineations).

*How do I find these zones? Are there departments that I can look at to see this information? Do I need to scour obscure government surveying websites to discover this information? Imagine you're told to setup a job in a state you've never worked in, where do you go to find this information? Is there a general workflow/procedure that could be follow?

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Hi all

I am currently making an interactive map using the leaflet package, and am trying to costuming the legends without using html widgets.

I have two questions-

1. can I change the size of the legends?

2. can I make it so that the legends for base layers are invisible unless the layer is activated?

Again- I am hoping to do this in base leaflet without using HTML widgets.

Thanks 🖤

When using a trackball in addition to a mouse in SOCET, there is a setting to where the the trackball only zooms and does not act as a true cursor. Does anybody know where the set this? I have spent close to an hour and cannot remember.

Training sessions will be available in English and Spanish (disponible en español).

English: https://go.nasa.gov/4gLSe8L

Spanish: https://go.nasa.gov/3TBb608

Hi everyone,

I’m currently working on a project to track global forest changes using segmentation techniques. My plan is to extract data from different parts of the world to analyze these changes over time.

I’ve read various papers, but I haven’t been able to find a usable dataset that fits my needs. Specifically, I’m looking for a source where I can obtain Landsat data or any other relevant datasets without having to manually download them for each specific region.

Additionally, I need time series data with full spectral bands. As a Computer Science student, working with remote sensing data is relatively new to me, so any guidance on where to find these datasets would be greatly appreciated.

Are there any repositories or platforms where I can access this data more efficiently?

Thank you for your help!

I am unsure if its worth taking non essential credits in my university by going back to take such classes before taking Calculus 2. I believe I could probably pass Calc 2 and then move to Linear Algebra and Calc 3 without taking a trigonometry class however my career aspirations lie in the intersection between data science, remote sensing, logistics and agriculture and I am unsure if I am making a mistake by rushing ahead without a stronger foundation