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Planet Labs outlines three methods to access and integrate satellite imagery into workflows: web apps, APIs, and GIS plugins, with options for custom automation and real-time data feeds.
Planet Labs explains how satellite mosaics stitch near-daily imagery to create cloud-free, uniform maps for large-scale analysis and monitoring.
Planet Labs Co-Founder Robbie Schingler outlined Planetary Intelligence at TED, describing how AI and satellite data enable real-time global monitoring to support decision-making and environmental adaptation.
Planet Labs and Rwanda’s government launched a national satellite data program to support agriculture, urban planning, disaster response, and education using daily imagery feeds.
Earth observation analytics convert vast satellite imagery into actionable intelligence using AI, machine learning, and spatial processing, enabling automated detection of objects, changes, and patterns at scale.
Planet Labs explains the three core characteristics of satellite imagery resolution—spatial, temporal, and spectral—and their trade-offs for different use cases.
Satellite imagery provides near-daily Earth observation data to support decision-making across agriculture, insurance, energy, infrastructure, and government sectors by enabling real-time monitoring of change.
Historical satellite imagery from Planet Labs’ 10+ year archive enables agencies to detect global changes, validate threats, and accelerate decision-making by comparing past and present conditions.
Planet Labs has introduced Model Context Protocol (MCP) servers to enable AI clients to interact with its documentation and platform tools via natural language prompts.
Planet Labs has launched Planet University, a free online training platform offering over 100 courses on Earth observation and its satellite data products, accessible to all users.
Planet Labs opened a London office to strengthen its UK presence, leveraging local expertise and infrastructure to support national security, sustainability, and economic goals through satellite data.
Planet Labs and SatAgro partner to provide near-daily satellite insights for farmers, enabling precision agriculture to optimize margins and reduce input costs across varying field sizes.
Governments face operational challenges enforcing new environmental policies due to outdated monitoring systems. Planet Labs proposes near-daily satellite data and AI analytics to detect policy infringements, prioritize...
Planet Labs introduces an AI-driven geospatial tool in private beta, enabling natural language queries to detect deforestation and other land-use changes in near real time using its satellite imagery archive.
Farmdar uses AI-driven satellite analytics from Planet Labs to deliver 95% accurate sugarcane yield predictions, addressing long-standing inaccuracies in manual sampling and public satellite data for millers.
Planet Labs introduces satellite-based wildfire risk monitoring to help governments track vegetation changes and prioritize mitigation before fires ignite, addressing gaps in traditional response-focused strategies.
Will Marshall proposes Planetary Intelligence (PI), a new AI framework using real-time Earth observation data to address physical-world challenges in security, sustainability, and disaster response.
Planet Labs has launched an agentic geospatial AI tool in private beta, enabling users to query satellite imagery using natural language to detect construction sites and other changes without requiring GIS expertise.
Mahindra and Mahindra is using Planet’s satellite imagery to shift India’s sugarcane harvests from calendar-based to maturity-based scheduling, aiming to improve sugar recovery and mill profitability amid declining...
Planet Labs and FarmQA have partnered to enable precision agronomy at scale using near-daily satellite imagery, helping growers optimize inputs and improve margins amid rising costs and commodity price volatility.
Planet Labs has launched Planet SuperRes, an AI-enhanced technology that upgrades its daily satellite imagery from 3 meters to 2 meters resolution, improving visibility of small features like trees and rooftops for...