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How to read geographic risk from satellite data — tutorials, case studies, and technical insights.
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Latest6 min read
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.
Aug 23, 2026
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SAR6 min
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.
Aug 23, 2026Read
monitoring7 min
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.
Aug 23, 2026Read
collection planning7 min
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.
Aug 23, 2026Read
SAR8 min
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.
Aug 3, 2026Read
MCP7 min
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.
Jul 15, 2026Read
MCP6 min
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.
Jul 15, 2026Read
API7 min
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.
Jul 11, 2026Read
Delta Signals6 min
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.
Jul 11, 2026Read
MCP7 min
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.
Jul 8, 2026Read
OSINT6 min
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.
Jul 8, 2026Read
off-nadir6 min
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.
Jul 7, 2026Read
All Articles
Browse the full archive of 149 articles.
- Auditing What an AI Told You: Keeping a Claim Ledger
- Layover and Shadow: How Much of a SAR Scene Is Actually Usable?
- Watching a Place: Measuring a Number vs Watching for Events
- When Can a Satellite Next Image This Place? Pass Prediction, Explained
- NISAR L-Band SAR vs Sentinel-1 C-Band: When Does Wavelength Decide the Answer?
- How to Connect an Event-Intelligence MCP Server to Claude, ChatGPT, Cursor, and the Command Line
- Build a Daily Situation-Briefing Agent with MCP Prompts and Area Watch
- From a World Event to the Satellite Scenes Over It: One API & MCP Workflow
- Evidence-Based Event Intelligence: How Delta Signals Stays Source-Linked and Auditable
- How to Give an AI Agent Live World-Event Awareness (MCP + REST API)
- From News Feed to Intelligence Report: What Key Judgments and Confidence Add
- What Is Off-Nadir Satellite Imagery? Viewing Angle Explained
- Can AI Read a Satellite Image? The Reasoning Layer Above Pixel Models
- Watching Mines, Tailings Dams, and Industrial Sites from Space: Environmental and Operational Risk
- Port Congestion and Supply-Chain Risk: What Satellites See That Shipping Data Misses
- Unsupervised Anomaly Detection in Satellite Time Series: When AI Learns 'Normal'
- What Is Geospatial OSINT? Turning Open Sources Into a Picture of the Ground
- Why This Sensor? How the Delta Agent Explains Its Imagery-Tasking Choices
- How Accurate Is Satellite Data? A Practical Guide to Validation and Uncertainty
- MODIS Satellite Data: The Daily, Decades-Long View of Earth
- A Field Guide to Free Satellite Data Sources: Sentinel-1, Sentinel-2, VIIRS, and NASA FIRMS
- Synthetic Aperture Radar (SAR): The Complete Guide
- The Landsat Program: A Complete Guide to 50+ Years of Earth Observation
- What Is a Situational Awareness Dashboard? Fusing Global Events With Satellite Imagery
- Harmonized Landsat Sentinel (HLS): One Consistent Time Series from Two Sensors
- Introducing Delta Signals: Geospatial Event Intelligence for Satellite Monitoring
- How to Choose the Right Satellite Index for Your Monitoring Goal
- Environmental Compliance Monitoring with Satellite Imagery
- Multi-Index Satellite Monitoring: Why One Sensor Is Never Enough
- Flood Monitoring with Sentinel-1 SAR Time Series: Tracking Inundation from Space
- Wildfire Recovery Monitoring: From Burn Scar to Regrowth
- Coastal Change Monitoring with NDWI and SAR Time Series
- Seasonal Crop Monitoring with NDVI Time Series: From Planting to Harvest
- Post-Disaster Recovery Monitoring with Satellite Time Series
- Forest Health Monitoring with NDVI and SAR Vegetation Indices
- Monitoring Water Surface Changes with NDWI and MNDWI Time Series
- Monitoring Economic Activity and Infrastructure with VIIRS Nighttime Light Time Series
- Continuous Maritime Monitoring with SAR Ship Detection Time Series
- Satellite Anomaly Detection in Time Series Data: How It Works
- SAR Backscatter Time Series: Detecting Change with All-Weather Radar
- Vegetation Index Time Series Monitoring with Sentinel-2
- How to Monitor Any Area with Satellite Time Series: A Complete Guide
- Active Fire Monitoring with NASA FIRMS: Real-Time Hotspot Detection from Space
- SAR vs Optical Satellite Imagery: A Practical Guide to Choosing the Right Sensor
- Estimating Soil Moisture with SAR: Why Radar Sees What Optical Can't
- Geometric Correction and Orthorectification of Satellite Imagery
- GeoTIFF and Cloud-Optimized GeoTIFF: What's the Difference and Why It Matters
- SAR Coherence for Change Detection: Finding What Changed Without Optical Data
- SAR Speckle Noise: What It Is and How to Filter It Without Losing Information
- VV, VH, HH, HV: SAR Polarization Demystified
- Hyperspectral Remote Sensing: What 200+ Bands Reveal That Multispectral Can't
- InSAR: How Satellites Measure Millimeter Ground Movement from 700 km Up
- How to Choose the Right Satellite Data for Your Project
- CO₂ and Carbon Monitoring from Satellites: Measuring the Invisible
- Land Surface Temperature: Measuring Earth's Heat from Space
- Change Detection from Space: Three Approaches That Actually Work
- Water Quality Monitoring with Sentinel-2: From Turbidity to Algal Blooms
- Coastal Erosion Monitoring from Satellites: Tracking Shoreline Change
- Browser-Based WebGIS vs. Desktop GIS Software: When Each Approach Makes Sense
- Chlorophyll and Red Edge Bands: Sentinel-2's Secret Weapon for Crop Health
- Pansharpening: How to Get High-Resolution Multispectral Imagery
- SAVI: The Vegetation Index That Accounts for Bare Soil
- SAR-Optical Data Fusion: Getting More from Two Sensors Than Either Alone
- What Nighttime Lights Tell Us About Cities (And What They Don't)
- Deep Learning for Earth Observation: From CNNs to Semantic Segmentation
- Dealing with Clouds in Sentinel-2 Data: Masking Techniques That Work
- Satellite Image Compositing and Mosaicking: Creating Cloud-Free Views from Multiple Scenes
- Beyond True Color: Sentinel-2 Band Combinations Worth Knowing
- Sentinel-2 vs. Landsat 9: A Practical Comparison for Earth Observation
- False Color Composites: How to Read Satellite Images That Don't Look Real
- Free vs. Commercial Satellite Imagery: What You Actually Get for the Price Difference
- Satellite Archaeology: Discovering and Monitoring Cultural Heritage from Space
- How to Read a SAR Image: What Bright and Dark Actually Mean
- Sentinel-2: The Complete Guide to Europe's Free Multispectral Satellite
- Supply Chain Monitoring from Space: How Satellites Track Global Commerce
- Satellite Imagery for Agriculture: What Actually Works at Field Scale
- Maritime Vessel Detection from Satellite SAR and Optical Imagery
- Mapping Floods with SAR: A Practical Workflow from Search to Analysis
- Supervised vs Unsupervised Classification: Two Approaches to Mapping Land Cover
- Satellite Data for Precision Agriculture: Variable Rate Application and Yield Optimization
- Understanding NDVI: How to Monitor Vegetation Health from Space
- Satellite Monitoring of Mining Operations: Compliance, Environment, and Safety
- How Do Satellites Actually Capture Images? Pushbroom, Whiskbroom, and SAR
- Why SAR Can See Through Clouds (And Why That Matters More Than You Think)
- Satellite Data in Insurance: How Imagery Transforms Risk Assessment and Claims
- Five Common Mistakes Beginners Make with Satellite Imagery
- STAC Explained: The Standard That Makes Satellite Data Discoverable
- Radiometric Calibration: From Digital Numbers to Physical Measurements
- Machine Learning for Satellite Image Classification: From Random Forest to Deep Learning
- Four Types of Satellite Image Resolution That Actually Matter
- Digital Elevation Models Compared: SRTM, ALOS, Copernicus DEM, and When to Use Each
- Atmospheric Correction: Why Raw Satellite Images Need Processing
- Getting Started with Sentinel-1 SAR Imagery: A Beginner's Guide
- Open Data Cube: Managing and Analyzing Satellite Time Series at Scale
- Google Earth Engine for Satellite Analysis: Power and Limitations
- Spatial vs Temporal Resolution: The Fundamental Trade-Off in Satellite Imaging
- Modern WebGIS Architecture: How Browser-Based Mapping Platforms Work
- Forest Type Classification from Satellite Imagery: Mapping What Grows Where
- Mapping Tree Canopy Height from Space: LiDAR, SAR, and the Global Canopy Height Map
- Satellite Orbit Types: Sun-Synchronous, Polar, and Geostationary Explained
- Forest Degradation vs. Deforestation: Why Detecting Degradation Is Harder
- The Electromagnetic Spectrum in Remote Sensing: What Each Band Reveals
- Mapping Burn Severity After Wildfires: NBR and Satellite-Based Assessment
- Estimating Forest Biomass from Satellite Data: Carbon Stock Mapping from Space
- What Is Remote Sensing? A Plain-Language Guide for 2025
- Tracking Groundwater Depletion from Space: The GRACE Gravity Mission
- Estimating Evapotranspiration from Satellites: The Invisible Water Flux
- Wetland Mapping with Satellite Data: Combining SAR and Optical for Complex Ecosystems
- Monitoring Reservoir Water Levels from Space with Satellite Altimetry
- Population Estimation from Satellite Imagery: Counting People from Space
- Ground Subsidence Monitoring with InSAR: Detecting Sinking Cities from Space
- Solar Farm Detection and Mapping from Satellite Imagery
- Construction Monitoring from Satellite Imagery: Tracking Projects from Space
- Tracking Urban Sprawl with Satellite Time Series: How Cities Grow from Space
- Urban Heat Islands from Space: Mapping City Temperatures with Thermal Satellites
- Rapid Damage Mapping: The Satellite Workflow from Disaster to Decision
- Post-Disaster Infrastructure Assessment: Roads, Bridges, and Lifelines from Space
- Oil Spill Detection with SAR: How Radar Spots Pollution on the Ocean
- Volcanic Eruption Monitoring from Space: Detecting Unrest Before Disaster
- Landslide Detection and Monitoring with Satellite Data
- Hurricane and Typhoon Tracking with Satellites: From Formation to Landfall
- Earthquake Damage Assessment from Satellite Imagery: Rapid Response from Space
- Land Cover Change Detection: Methods for Tracking How Earth's Surface Evolves
- Air Quality from Space: How Satellites Map NO₂, PM2.5, and Other Pollutants
- Detecting Methane Emissions from Space: How Satellites Track an Invisible Gas
- Ocean Color Monitoring: What Satellite Sensors Reveal About Marine Ecosystems
- Mangrove Mapping with Satellite Imagery: Protecting Coastal Forests from Space
- Tracking Glacier Retreat from Space: Four Decades of Satellite Evidence
- Reference Layers: Adding Geographic Context to Satellite Imagery
- Coral Reef Monitoring from Space: Mapping Underwater Ecosystems with Satellites
- Sentinel-1 GRD vs RTC: Which SAR Product Should You Use?
- Deforestation Monitoring with Satellite Data: How We Track Forest Loss Globally
- Geological Mapping from Space: Iron Oxide and Clay Mineral Detection with Sentinel-2
- Early Detection of Crop Stress from Satellite Imagery: Before the Damage Is Done
- Choosing the Right Colormap for Satellite Data Visualization
- Snow and Ice Monitoring from Space: How NDSI Maps the Cryosphere
- Drought Monitoring with Satellite Data: Indices, Methods, and Early Warning
- Multi-Temporal SAR Color Composites: See Change in a Single Image
- Mapping Soil Properties from Satellite Imagery: What's Possible and What's Not
- Satellite Image Difference Analysis: A Step-by-Step Practical Guide
- Crop Yield Estimation from Satellite Data: Methods, Accuracy, and Limitations
- How to Upload and Analyze Your Own GeoTIFF in the Browser
- Irrigation Monitoring from Space: Tracking Water Use Across Farmland
- Crop Type Mapping with Satellite Imagery: Telling Wheat from Corn from Space
- Precision Agriculture with Satellite Imagery: A Practical Guide
- MNDWI and NDWI Explained: Mapping Water Bodies from Space
- Understanding SAR Backscatter Coefficient (σ⁰): What the Numbers Actually Mean
- EVI vs NDVI: When NDVI Isn't Enough for Vegetation Analysis
- Ascending vs Descending Orbits in SAR: Why It Matters More Than You Think