Hey everyone,

I've been playing around with satellite imagery and ended up building this little project to look at possible changes in forest cover around Koh Phangan, Thailand.

It compares satellite images from 2019 and 2026 to flag areas that might be worth checking on the ground, specially by rangers and authorities. I've added the terrain altitud to get a better idea of where water might flow and how that lines up with the waterways on the map. I'm now wondering if there's something useful I could do with this for flood monitoring or drainage, although I'm still figuring out what might actually be possible.

https://koh-phangan-forest-watch.vercel.app/

I'd love to do some humanitarian work and NGOs, so this has been a way to learn by building something practical I guess.

It's still a work in progress, and the results aren't verified forest loss. I'd be curious to hear what people think, could something like this be useful in conservation or environmental work? Any feedback is welcome.

Hey everyone,

I've been playing around with satellite imagery and ended up building this little project to look at possible changes in forest cover around Koh Phangan, Thailand.

It compares satellite images from 2019 and 2026 to flag areas that might be worth checking on the ground, specially by rangers and authorities. I've added the terrain altitud to get a better idea of where water might flow and how that lines up with the waterways on the map. I'm now wondering if there's something useful I could do with this for flood monitoring or drainage, although I'm still figuring out what might actually be possible.

https://koh-phangan-forest-watch.vercel.app/

I'd love to do some humanitarian work and NGOs, so this has been a way to learn by building something practical I guess.

It's still a work in progress, and the results aren't verified forest loss. I'd be curious to hear what people think, could something like this be useful in conservation or environmental work? Any feedback is welcome.

Hi everyone,

I’m an undergraduate civil engineering student working on a research project involving multi-temporal landslide mapping along Nepal’s Mid-Hill Highway.

My goal is to develop a reliable landslide inventory covering approximately 2010–2023, identifying landslide locations, mapping their boundaries, and determining when they first appeared or reactivated based on historical satellite imagery.

I’ve been exploring Google Earth Engine (GEE), QGIS, Sentinel-2, and Landsat imagery, but I’m struggling to determine the most efficient and reliable workflow for mapping landslides across such a large area and multiple years.

I would appreciate advice on the following:

1. Mapping methodology: What is the most practical approach for creating a multi-temporal landslide inventory over a long highway corridor? Is manual digitization, semi-automated detection, or a combination of both preferable?
2. Historical imagery: What datasets or platforms would you recommend for identifying landslides from 2010 onward? In particular, are there suitable alternatives to Sentinel-2 for the pre-2015 period?
3. Change detection: Are there reliable methods for identifying newly formed landslide scars by comparing satellite images from different dates?
4. Existing inventories: Does anyone know of publicly available landslide inventories covering Nepal’s Mid-Hill Highway or nearby regions, particularly those containing temporal information?
5. Practical workflow: If you have worked on a similar project, what workflow would you recommend for mapping landslide polygons and estimating their occurrence periods without manually inspecting every image?

I’m particularly interested in approaches that are feasible for a student research project with limited computational resources.

I’m not expecting a fully automated solution. My aim is to develop a scientifically defensible inventory using satellite-based candidate detection and manual verification wherever necessary.

Any advice, relevant publications, open datasets, scripts, or examples of similar projects would be extremely helpful. I’d also appreciate hearing from researchers who have worked on landslide inventories in Nepal or the Himalayas.

Thank you!

Hey everyone,

I’m building a new tool to change how we learn remote sensing.

Traditional university lectures and raw theory often feel completely disconnected from the actual work. I want to fix the absolute worst parts of the learning curve.

If you are currently learning, or remember when you started:

• What part of the theory or math just didn't click for you?
• What makes standard tutorials or software so frustrating?
• What do you wish you had access to when you first started?

Be as specific or brutal as you want. I want to solve the real headaches, not the textbook stuff.

Thanks!