Applications

As part of ArcGIS for Planetary Computer, Esri is bringing virtual ArcGIS Pro machines to the cloud, providing access to hundreds of ready-to-use analysis tools with an intuitive user experience. From interactive suitability modeling to AI for predictive analytics, these preconfigured virtual machines exploit the expansive collection of analysis-ready data in Planetary Computer and capture actionable insights.

Esri is leveraging the annual Sentinel-2 Land Use/Land Cover (LULC) data hosted on the Planetary Computer and ArcGIS Living Atlas of the World in an intuitive and interactive web-mapping application. Deriving and disseminating insights from LULC data is invaluable in making informed and sustainable land management decisions. The Sentinel-2 Land Cover Explorer leverages a variety of capabilities, including dynamic visual and statistical change analysis, to begin unlocking such insights.

Impact Observatory used the Planetary Computer to build a global land use and land cover map at 10-meter resolution, by applying machine learning tools to satellite imagery. The resulting map—which is now publicly available on the Planetary Computer—will support ecosystem monitoring and land use planning.

Imazon, in partnership with Fundo Vale, is using satellite imagery from the Planetary Computer to identify areas of the Brazilian Amazon that are at risk of deforestation, based on topography, land cover, and indicators of human settlement. The resulting risk predictions are presented via PrevisIA, an online platform that enables policy-makers to protect critical rainforest ecosystems.

The Analytics Lab team at Conservation Science Partners (CSP) is using the Planetary Computer to monitor forest change, habitat connectivity, and the impacts of human land use across the U.S., providing a range of project partners and stakeholders with the data they need to make better conservation decisions in near real time.

The Nature Conservancy is using the Planetary Computer to protect and manage land, oceans, and biodiversity. In partnership with Microsoft and with development support from Vizzuality, TNC is accelerating conservation with Marxan, a cloud-based platform for data-driven spatial planning.

CarbonPlan is leveraging Planetary Computer resources to enable more transparent and scientifically rigorous evaluation of forest-based climate solutions. By shining a data-driven light on past and future carbon offset projects, this enables procurement programs to favor the highest-quality outcomes.

Development Seed is using the Planetary Computer to accelerate the critical work of the environmental scientists tasked with mapping the world's land use. By combining Earth observation data and machine learning, this work is helping scientists spend more time planning conservation, and less time annotating imagery.