Kazushi Motomura
Remote sensing specialist · Founder of Off-Nadir Lab
Kazushi Motomura is a remote sensing specialist with over 10 years of experience in satellite data processing and AI. He founded Off-Nadir Lab, holds a Master's degree from the Department of Earth System Science and Technology in Kyushu University's Interdisciplinary Graduate School of Engineering Sciences, where his research was in satellite oceanography, and co-authored the "Object Detection" and "Super-Resolution" entries in the Remote Sensing Encyclopedia (Remote Sensing Society of Japan). He writes the Off-Nadir Delta blog on satellite imagery and event intelligence.
Education
Master's in Earth System Science and Technology, Kyushu University; research in satellite oceanography.
Experience
10+ years in satellite data processing and AI. Founder of Off-Nadir Lab.
Publication
Co-author, Remote Sensing Encyclopedia (Remote Sensing Society of Japan).
Recent Articles
Which Satellite Observation Would Actually Refute Your Hypothesis?
Most collection planning asks when a place can be imaged. The harder question is whether the image could change anyone's mind. Here is how to compute the diagnostic value of an observation before you pay for it.
Auditing What an AI Told You: Keeping a Claim Ledger
An AI answer that cannot be re-examined later is not evidence, it is a memory. Recording each claim with its evidence class and tracking how it was restated turns the output into something you can audit — including the times the system contradicted itself.
Layover and Shadow: How Much of a SAR Scene Is Actually Usable?
In relief, a large share of a SAR scene can be unmeasurable before you look at it. The geometry is arithmetic — slope against incidence angle — so it can be computed for a specific pass instead of guessed at.
Watching a Place: Measuring a Number vs Watching for Events
Continuous satellite monitoring splits into two jobs that get confused constantly — measuring a quantity over a polygon and watching an area for events. Which one you set up decides whether your watch says nothing or says too much.
When Can a Satellite Next Image This Place? Pass Prediction, Explained
How satellite access windows are predicted from public orbital elements, why a predicted window is not a guaranteed image, and how to decide between waiting for a free systematic pass and paying to task a commercial one.
NISAR L-Band SAR vs Sentinel-1 C-Band: When Does Wavelength Decide the Answer?
NISAR's L-band radar has a 24 cm wavelength against Sentinel-1's 5.55 cm. That single difference changes what the radar sees under vegetation, how coherence behaves, and which sensor answers your question.
How to Connect an Event-Intelligence MCP Server to Claude, ChatGPT, Cursor, and the Command Line
A setup guide for the Off-Nadir Delta MCP server: connect it to Claude, ChatGPT, Cursor, and VS Code with one-click OAuth, or from the command line with npx, Docker, or a bearer API key. Listed in the official MCP Registry, with a Python SDK on PyPI.
Build a Daily Situation-Briefing Agent with MCP Prompts and Area Watch
Turn an AI agent into a recurring OSINT analyst: use the Off-Nadir Delta MCP server's prompts to run a daily world briefing and watch an area of interest for change — grounded in live, sourced events.
Explore the Platform
Put the knowledge into practice — monitor any area with satellite imagery, free to start.
From headline to satellite evidence
One connected intelligence workflow across four surfaces — free to start, no GIS software or remote-sensing background required.