Best Weather Intelligence Software in Japan

Google Earth Engine is a cloud-based platform for scientific analysis and visualization of geospatial datasets, providing access to a vast public data archive that includes over 90 petabytes of analysis-ready satellite imagery and more than 1,000 curated geospatial datasets. This extensive catalog encompasses over 50 years of historical imagery, updated daily, with resolutions as fine as one meter per pixel, featuring datasets such as Landsat, MODIS, Sentinel, and the National Agriculture Imagery Program (NAIP). Earth Engine enables users to analyze Earth observation data and apply machine learning techniques through its web-based JavaScript Code Editor and Python API, facilitating the development of complex geospatial workflows. The platform's integration with Google Cloud allows for large-scale parallel processing, empowering users to conduct comprehensive analyses and visualize Earth data efficiently. Additionally, Earth Engine offers interoperability with BigQuery.

Assess risk, understand markets, and make better decisions with the most powerful and comprehensive urban, climate, and community resilience data platform available anywhere. Assess existing conditions and land use down to the parcel level with granular urban, environmental, and mobility data. Analyze and intersect vulnerabilities, impacts, and policy interventions at the state, city, and neighborhood level. Evaluate the impacts of climate change and natural hazards on communities, resources, and infrastructure. Design the future with the next generation of urban and mobility planning using granular parcel, transport, and environmental data. Drive ESG reporting with effective, meaningful, data‑driven assessments of social and environmental impacts. Build more resilient and equitable communities with targeted climate, hazard, urban, and community vulnerability data.

One Concern has built a Digital Twin of the world around us, revealing hidden risks across the built and natural environments posed by natural disasters, extreme weather, and climate change. Our Digital Twin enables customers to uncover direct structural risks to their buildings, as well as risks posed to the external networks they depend on. The Digital Twin underpins our proprietary risk models, unlocking the resilience quotient – allowing us to probabilistically project business downtime in the face of unprecedented hazard events. One Concern helps customers to understand their property’s direct structural risk from climate, natural disasters, and extreme weather – as well as the networks the property depends on to remain operational. We identify downtime across multiple hazards and return periods, including the impact of climate change under the scenario of 1.5 degrees celsius temperature increase.