The latest articles on DEV Community by sanesh kumar (@sanesh_kumar_b5db9e5f0628). https://dev.to/sanesh_kumar_b5db9e5f0628 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F4033866%2F304b728b-5e15-4f8d-ba9c-7cb05153c96d.png https://dev.to/sanesh_kumar_b5db9e5f0628 en sanesh kumar Fri, 17 Jul 2026 14:04:40 +0000 https://dev.to/sanesh_kumar_b5db9e5f0628/how-ai-satellites-and-sensors-are-fixing-the-trust-problem-in-carbon-credits-2bgf https://dev.to/sanesh_kumar_b5db9e5f0628/how-ai-satellites-and-sensors-are-fixing-the-trust-problem-in-carbon-credits-2bgf <p>For years, carbon credits had a credibility problem. A project would claim it planted trees or reduced emissions, but verifying that claim meant slow, manual, and often unreliable paperwork — sometimes years behind the actual project on the groun<br> <a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2F7ysfh4o00wi3gwv6zi3h.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2F7ysfh4o00wi3gwv6zi3h.png" alt=" " width="800" height="533"></a>d.</p> <p>That's changing fast, and the fix is surprisingly technical.</p> <h2> The Old Way: Manual, Slow, Easy to Game </h2> <p>Traditional Measurement, Reporting, and Verification (MRV) relied on periodic site visits, self-reported data, and static reports. By the time a verifier signed off, conditions on the ground could have shifted entirely. This gap is exactly why "junk carbon credits" became a real term in climate journalism.</p> <h2> The New Way: Digital MRV (dMRV) </h2> <p>Digital MRV stacks a few technologies together to close that gap:</p> <ul> <li> <strong>Satellite imagery</strong> for continuous land-cover and biomass tracking</li> <li> <strong>IoT sensors</strong> for real-time emissions or soil/water data</li> <li> <strong>Drones</strong> for granular verification at project sites</li> <li> <strong>AI models</strong> to turn raw sensor/satellite data into verifiable impact metrics</li> </ul> <p>Instead of a snapshot every year or two, you get something closer to a live dashboard of a project's actual climate impact.</p> <h2> Why This Matters for Developers </h2> <p>This is a genuinely interesting data engineering problem: fusing multi-source geospatial data (satellite + drone + IoT) into a single verifiable pipeline, at scale, across dozens of countries and project types (reforestation, cookstoves, renewable energy, blue carbon). It touches computer vision, time-series analysis, and building trust into a data pipeline that regulators and buyers actually rely on.</p> <p>Companies like <a href="https://econetix.net" rel="noopener noreferrer">Econetix</a> are building exactly this kind of dMRV infrastructure — combining AI, satellite, and sensor data to bring real-time transparency to carbon markets, alongside managing a global portfolio of CORSIA and voluntary market carbon projects.</p> <h2> The Bigger Picture </h2> <p>As compliance markets (like CORSIA for aviation) grow stricter, and voluntary buyers get more skeptical after high-profile credit scandals, the infrastructure layer — not just the credits themselves — is becoming the differentiator. Whoever builds the most trustworthy, real-time verification stack wins credibility in a market that badly needs it.</p> <p><em>Curious how digital MRV works under the hood? Worth a deeper look at how <a href="https://econetix.net/project-monitoring-dmrv/" rel="noopener noreferrer">Econetix's dMRV platform</a> approaches this problem.</em></p> sustainability ai