Undergraduate RS student
Goal: First contact with SAR; wants intuition plus one full worked example.
Path: Home → Primer → Flood Case showcase → inquiry form for questions.
/ ISPRS CATCON 9 · JUDGES’ PACKET
Remote Sensing Teaching and Practice Platform for Flood Analysis and Student Interaction
A web-based teaching environment built around a real Sentinel-1 SAR flood case — every figure is a real model output, every step is reproducible, and students close the loop with guided inquiry.
Teach remote sensing the way it is actually practiced.
Traditional remote sensing courses show finished maps and finished equations. This platform teaches the workflow — the messy middle where raw satellite archives become decisions. We pick one real disaster event, one operational SAR pipeline, and one clearly-explained segmentation model, and we walk learners through it from L1C GRD to interpreted flood map without hiding the steps.
The purpose is three-fold: (1) give undergraduates an intuitive first contact with SAR; (2) give graduate students a reproducible end-to-end pipeline they can rerun and modify; (3) give instructors a self-contained case they can drop into a one-hour lecture.
Six functions, one teaching loop.
SAR physics primer
Ninety-second explainer pairing VV/VH/RGB imagery with backscatter intuition for first-time learners.
End-to-end flood case
Banda Aceh 2025-11-26 case from raw Sentinel-1 GRD through UNetRSMamba prediction to side-by-side comparison.
Walkable 6-stage pipeline
Scrollable `/pipeline` page with real commands, artefacts, TL;DR and check-yourself prompts per stage.
Interactive training replay
Scrubbable 50-epoch loss/IoU trajectory with milestone annotations and live prediction preview.
Student inquiry loop
Feedback form wired to Cloudflare Workers + D1 so classroom questions and data requests reach the teaching team.
Reproducible artefacts
Every image on the site is a real output; pipeline reruns with one command on the provided dataset.
Name, affiliation, country, email — as required by CATCON.
Contacts below are placeholders; replace with final details before the 2026-04-24 deadline.
RoleNameAffiliationCountryEmail
Principal Investigator · Team Lead Wei Yuan International Research Institute of Disaster Science (IRIDeS), Tohoku University Japan wei.yuan@tohoku.ac.jp
Ph.D. Candidate · Model & Data Engineering Zhongyuan Yang International Research Institute of Disaster Science (IRIDeS), Tohoku University Japan yang.zhongyuan.t2@dc.tohoku.ac.jp
Ph.D. Candidate · AI Methodology Weihang Ran OSCARS Lab, Graduate School of Information Science and Technology, The University of Tokyo Japan ran-weihang@g.ecc.u-tokyo.ac.jp
Browser is the whole client. The rest is optional.
For judges and learners (viewing)
- Browser
- Chrome 110+, Firefox 110+, Safari 16+, Edge 110+
- Screen
- Works from 360 px (mobile) to 4K desktop
- Network
- Any broadband; total page weight under ~10 MB
- JavaScript
- Required (ES2022)
- Account
- None — fully public, no sign-in
For reproducers (rebuilding)
- Frontend
- Nuxt 3 · Vue 3 · TailwindCSS · @nuxt/image
- Backend
- Cloudflare Workers · D1 SQLite
- Modelling
- Python 3.10 · PyTorch 2.x · SNAP 9 · rasterio
- Build
- Node 18+, pnpm or npm
- Deployment
- Cloudflare Pages (static) + Workers (API)
Why this is not just another course website.
- 01Built around a single real disaster case rather than a catalogue of toy datasets.
- 02Parameter sensitivity is taught as a first-class lesson: the same model, four input-clamp configs, four visibly different flood maps.
- 03Every figure on the site is a real model artefact — no stock images, no staged screenshots.
- 04The teaching loop closes with an inquiry form backed by Cloudflare Workers + D1, not a mailto link.
- 05Pipeline page exposes real shell commands and file layouts so students can rebuild the case at home.
Three personas, three entry paths through the platform.
Graduate / MSc student
Goal: Wants to reproduce the pipeline and understand parameter sensitivity.
Path: Pipeline page → Training replay → clone toolkit → run `reproduce-no-sar`.
Instructor preparing a lecture
Goal: Needs a self-contained case they can project and discuss in one session.
Path: Flood Case showcase → teaching-flow prompts → discussion questions.
Screenshots, demo video, and one-page summary for judges.
Items still tagged PLACEHOLDER below will be replaced with final screenshots and the demo video before the CATCON deadline.
Demo video
PLACEHOLDERDemo walkthrough video (≈ 90 s) will be embedded here.
public/submission/demo.mp4Screenshots (3–6)
PLACEHOLDER
One-page PDF summary
PLACEHOLDERcatcon9-summary.pdfSource:
competition/isprs-catcon-2026/pdf-summary-source.md