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
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 5.6 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.
From a World Event to the Satellite Scenes Over It: One API & MCP Workflow
A news event tells you what happened and where. Here is how to chain three API calls — query events, find where activity concentrates, then search the satellite scenes over that spot — and how an AI agent does the same over MCP.
Evidence-Based Event Intelligence: How Delta Signals Stays Source-Linked and Auditable
What makes an automated event feed trustworthy? Delta Signals is built for auditability — every signal links back to its original source, is corroborated across outlets, and carries a verified location you can check.
How to Give an AI Agent Live World-Event Awareness (MCP + REST API)
An AI agent's knowledge stops at its training cutoff. Here is how to ground it in today's geolocated world events with an event intelligence REST API and a Model Context Protocol (MCP) server — tools, resources, prompts, and one-command setup.
From News Feed to Intelligence Report: What Key Judgments and Confidence Add
A news feed lists what happened; an intelligence report assesses what it means. Here is what Key Judgments, analytic confidence, and an outlook are — and how to read a daily intelligence report built to professional analytic standards.
What Is Off-Nadir Satellite Imagery? Viewing Angle Explained
Off-nadir imagery is captured when a satellite looks sideways instead of straight down. This guide explains the off-nadir angle, how it degrades resolution, why it cuts revisit time from 16 days to under 1 day, and why SAR must always look off-nadir.
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.