Blog
How to read geographic risk from satellite data — tutorials, case studies, and technical insights.
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.
Can AI Read a Satellite Image? The Reasoning Layer Above Pixel Models
There are two very different kinds of 'AI for satellite imagery' — pixel-level models that measure change, and a reasoning layer that explains what it means. Here is how they differ, where each is reliable, and why the honest answer to 'can AI read an image' is 'it depends what you mean by read.'
Watching Mines, Tailings Dams, and Industrial Sites from Space: Environmental and Operational Risk
Satellites monitor the industrial sites you cannot walk onto — mine footprints, tailings storage, refineries, and their surroundings — for environmental and operational risk. A practical guide to what open imagery resolves, which sensors and techniques matter, and how to keep a standing watch without code.
Port Congestion and Supply-Chain Risk: What Satellites See That Shipping Data Misses
AIS tracks the ships that broadcast. Satellites see the anchorage that fills up, the berths that sit idle, and the queue that forms before any delay reaches a schedule — a practical guide to reading port disruption from space for supply-chain and risk teams.
Unsupervised Anomaly Detection in Satellite Time Series: When AI Learns 'Normal'
How unsupervised methods flag change in a satellite time series without labelled training data — from the ±2σ rule to seasonal decomposition and isolation forests — and how to watch an area for anomalies without writing code.
What Is Geospatial OSINT? Turning Open Sources Into a Picture of the Ground
Geospatial OSINT builds intelligence about places and events from public sources — news signals, free satellite imagery, AIS, geotagged media — by geolocating, corroborating, and reading the imagery. Here is how the discipline works and how to do it without a GIS stack.
Why This Sensor? How the Delta Agent Explains Its Imagery-Tasking Choices
The Delta Agent now shows the GEOINT tradecraft behind every event it surfaces — why a given sensor fits, what to look for, and the confidence caveat — and lets you display Sentinel-1 SAR or Sentinel-2 optical in one click.
All Articles
Browse the full archive of 143 articles.
- 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 Mistakes I See 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