Gathering and annotating this data manually is time- and cost-prohibitive, making citizen engagement critical to data collection. AI for Earth Grants provide access to Microsoft resources to support projects that change the way people and organizations monitor, model, and manage Earth’s natural systems The Azure compute credit grant provides you with Azure credits worth up to $15,000 (depending on your project scope and needs). Azure Open Datasets can consume hundreds of terabytes of resources, so it's best to perform large-scale processing in the same Azure datacenter where you store the data. Open Datasets are also available through the Azure Machine Learning UI and SDK. The public Species Classification API helps automate citizen-scientist observations by identifying plants and animals in images from over 5000 species. Species observations come from biologists and citizen scientists. Jupyter is an open-source project that enables combining markdown prose, executable code, and graphics onto a single canvas called a notebook. The earth currently faces urgent and accelerating environmental challenges. Climate change, biodiversity and habitat loss, pollution, … You can share or request other public datasets through Azure Open Datasets. Have a Microsoft or Azure DevOps organizational account. You can access them from any Python environment, with or without Spark. The land cover classification image shows areas classified into water, forest, field, or built coverage. The Species Classification API version in the demo notebook might misidentify some species. With an Azure account, you can access Open Datasets through the Azure portal or through APIs. Technology may have contributed to many of these issues, but we need technology to be able to conceptualize or solve them. For more than a year now, he has been leading an elite global research team for AI for Earth – a five-year, US$50 million Microsoft initiative that supports, and partners with, environmental groups and researchers. AI for Earth. AI for Earth supports organizations that are applying AI to environmental challenges, by helping them harness the full power of cloud computing. Notebooks are an excellent way for data scientists and AI engineers to share and collaborate in the cloud. Microsoft has made 137 “AI for Earth” grants to individuals and organizations in 47 countries, helping them use artificial intelligence to protect the planet in the areas of agriculture, biodiversity, … You can analyze and make decisions based on the land cover predicted in the image. Azure Open Datasets are free, curated public datasets that help you train machine learning models and enrich predictive solutions. The public Land Cover Mapping API can take a supplied TIFF or JPEG 1 meter-resolution aerial or satellite image, or any United States latitude and longitude data, and return an image file showing land cover classifications. Depending on project need, the grants can award Microsoft Azure cloud computing resources (including AI tools) and/or data labeling services. SilviaTerra used the Land Cover Mapping API to help develop a high-resolution inventory for every forested acre in the continental US. The Freshwater Trust and Upstream Tech developed BasinScout® Platform to help identify the best places to improve groundwater and surface water quantity and quality. The datasets cover public-domain weather, census, holidays, public safety, and location data. Join hundreds of grantees and empower your work with an AI for Earth grant. We develop open-source tools, models, infrastructure, data, and APIs to accelerate technology development for environmental sustainability. Wild Me used the Species Classification API, computer vision, and deep learning algorithms to create the open-source Wildbook platform. At regular intervals, Open Datasets pulls data from the sources, such as by an FTP connection to the National Oceanic and Atmospheric Administration (NOAA). Open Datasets also provides Azure Notebooks and Azure Databricks notebooks you can use to connect data to Azure Machine Learning and Azure Databricks. AI for Earth puts Microsoft cloud and AI tools in the hands of those working to solve global environmental challenges. Scientists can use the aggregated data to help inform conservation decisions. Climate change, biodiversity and habitat loss, pollution, overpopulation, and food and fresh water shortages need quick and comprehensive mitigation, but can seem so overwhelming that philosopher Timothy Morton calls them hyperobjects, entities so vast and distributed that they're difficult to fully define or comprehend. The API has a single endpoint that takes an image as input and returns a predicted species and the confidence of the prediction. Basemap plots tree coverage, tree species and size, tree value, carbon sequestration, and habitat suitability, delivering insight to forest stakeholders from governments and conservation groups to large and small landowners. Microsoft is committed to preserving Earth’s ecosystems and will be creating a Planetary Computer to build an interconnected environmental network of data and tools.

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