r/remotesensing

I am currently doing my MS at a R1 university in the US, focused on applying Deep Learning models to UAV imagery (particularly on agricultural data). I have always worked on Computer Vision and robotics-related work. I got a PhD offer at a T10 university in the US, which is focused on applying ML models to detect plant diseases using remote sensing, and the degree is going to be in an agriculture-related department. As someone who has done his BS in CS and MS in EE, is it going to be a good decision to switch to a completely different department? My vision has always been to work towards industry-based research.

Hi everyone,

I'm a final-year engineering student, and over the past several months I've been developing an InSAR processing software. I thought this community would be the right place to share what I've built and get feedback from people who work with InSAR data.

What GeoInSAR is:

A full-featured InSAR processing software with a graphical interface, designed to make the entire processing chain accessible: from raw scenes to deformation maps. No command line required.

What it currently supports:

- Multi-constellation: Sentinel-1, TerraSAR-X, COSMO-SkyMed, ALOS-2

- PS-InSAR, SBAS, DS-InSAR and PS+DS in a single tool

- StaMPS and MintPy integrated (atmospheric corrections can be applied directly within the processing workflow)

- Multi-AOI and multi-temporal: multiple zones and periods processed sequentially within the same satellite footprint

- Integrated data access, direct download for Sentinel-1, pricing grids and order forms for other constellations (TSX, CSK, ALOS-2…)

- Automatic report generation built-in

- Full GUI, no command line, step-by-step guided workflow

- Integrated visualization: baseline graph, velocity maps, time series on an interactive map

What are the biggest pain points you face with existing InSAR tools?

Would a fully guided, GUI-based workflow actually change how you process data?

Is there interest in something like this in the Community?

Happy to answer questions, share screenshots or discuss technical choices.

Thanks for reading!

Arno

https://preview.redd.it/q9erclrstazg1.png?width=3125&format=png&auto=webp&s=18644cbacf32408a4dcdfa01cac02f63d6c78fc4

I do ML research and had to work on applied remote sensing for a project. My daily driver was NixOS for years, and this project required GDAL and a bunch of GIS libraries. Tried to get it working, eventually gave up and switched to Fedora just to move on with the project.

My use case was just creating datasets from KMLs/GeoJSONs. At the time I patched together a system that could do the job, but I'd wanted to turn it into a proper package for a while.

So I wrote mapcv. CLI + Python library, tile math and rasterization in Rust, no GDAL. It’s extremely lean and lightweight. The only non-trivial dependencies are numpy, shapely, and Pillow; the rest is just type stubs, a YAML parser, and CLI helpers.

Try it via PyPI:
pip install mapcv

Github: https://github.com/tahamukhtar20/mapcv
Docs: https://tahamukhtar20.github.io/mapcv

Just released v0.1.0. If you try it, feedback and questions are welcome. If you hit any issues, feel free to open one on the repo.

Hi everyone,
I’m looking for a PhD position in geoinformatics or remote sensing, based in Europe (EU citizen). My recent research interests include SAR/InSAR for critical infrastructure monitoring (railways, pipelines, energy grids), super-resolution techniques, and real-time drone imagery processing — strong focus on dual use.

What matters most to me in a supervisor is someone who is present, accessible, and genuinely supportive of a student who wants to learn — a decent person and an expert. A friend who works in academia recently told me something that stuck: with a good supervisor, the PhD flows naturally; with someone who is absent or difficult to work with, you’ll struggle and drag it out for years.

About me: I’m 27, a data engineering team lead at a company working with ESA on the Copernicus programme. I hold an MSc in Geodesy & Cartography (GIS specialisation) from Warsaw University of Technology and a postgrad in Big Data / ML. Day to day I work with Sentinel data and have some experience with VHRs. I build processing pipelines around GDAL, maintain STAC catalogues, and create user-facing APIs and QGIS plugins — all in a cloud-native environment I use daily. I code in Python, use k8s and nix, and I’m eager to pick up Rust or Go. I’ve presented at FOSS4G, ESA Living Planet Symposium, EGU and IAC, and I teach EO courses at AGH Kraków.

If you know of any open positions or could recommend a supervisor, I’d really appreciate it. Thanks!

I'm an MSc Data Science and Environmental Intelligence student at the University of Plymouth and I've been trying to get some work experience alongside my degree.

I landed a micro-internship with Babcock, went through the entire process, and at the very last stage they failed me on security clearance — no real reason given. As an international student I suspect that's just how it goes, but it's still gutting after putting in all that effort.

Now I'm back to square one and genuinely not sure where to look. I'm open to pretty much anything at this point:

- Data analyst / data science roles or internships

- Marine, environmental, or ocean-related** work (this is my main passion)

- Volunteering, shadowing, short placements — anything that gets me real experience ( I genuinely just want to learn)

I work with Python, R, QGIS, and have hands-on experience with environmental sensors from my coursework. I'm based in Plymouth so local is ideal but open to remote too.

Has anyone been in a similar situation? Any leads, advice, or even just knowing what kinds of places are worth approaching in Plymouth would mean a lot right now.

Thanks

Hi there,

I am really new and unexperienced to this and need some help on an issue. So I have hyperspectral data from a drone flight. The drone carried 2 sensors: VNIR and SWIR, both have the same resolution (10cm). Importing them in QGIS I found a slight displacement between both.
So my question is:

1. What is the best way/standard workflow to ensure that the pixels align and each pixel represents the same object in the real world. (No GCP are provided)

2. Also the number of rows and colomns mismatch:
   SWIR: X: 2.124 Y: 2.918
   VNIR: X: 2.110 Y: 2.913

3. I found to have missing data in my SWIR probably due to sensor errors (How do I handle those)?

I appreciate any help!
Thank you very much :)

Hello,

I have a BA in Environmental Studies and a certificate in Spacial Data Science, and I am currently employed in a remote sensing lab at my Alma Mater as a researcher. I am specialized in machine-learning, deep learning, and end-to-end model development in remote sensing—I also had a remote sensing fellowship during my education. I have a publication for review as a primary author as well as a secondary author for a publication in progress. Although I only have a BA I consider myself to have the qualifications of a Masters student given that I took the entire masters curriculum during my time as an undergrad.

I am looking to branch out of academic research and get a position in this field. For those of you who have found employment in the field, do you think that given my credentials, (especially the fact that I only have a BA), is finding a career realistic for me, or is getting a MA the way to go; and if so, what industries tend to hire remote sensing positions? I haven’t seen too many positions and haven’t heard back from any that I applied to. Any help or guidance is appreciated.

Hi, I'm super new to this. Ultimately I need an llm that pretty much only helps me with these specific uses, in remote sensing and calculus. I currently have a MacBook Pro M1 Pro with 32GB RAM and probably won't upgrade for a few years.

My main goal for this is to eventually stop contributing to the water and energy crisis being exacerbated by cloud-based Ilms like gemini and chatgbt. Especially because I use them so much with Remote Sensing software given that it's not intuitively designed. And it would be great to have calculus data at my disposal.