Maya Climate

Maya, what is the difference between a bounding box and a buffer area? ⬛ A bounding box defines the area of interest, helping you clip and manage datasets efficiently. 🔲 Buffers, on the other hand, create zones around specific features, aiding in proximity analysis. Want to dive deeper? Check out the full blog post in the comments.

Sharing nature-based carbon reports with your team or external partners is now easier than ever! 🔗 Check out our new report-sharing function, which allows users to share their fully customized geospatial reports. Find an open-access sample report in the comments.

Join us on October 4th for our next webinar, Geospatial Due Diligence 101 for Forest Carbon Projects.

Maya, what is the difference between vector and raster data? 🐝 Understanding different GIS data formats – vector or raster – can increase your understanding of geospatial datasets and help you to effectively manage your files. 🌍 This blog post explores key formats like GeoJSON, Shapefiles, and GeoTIFFs, guiding you on when and how to use them for your specific needs on the Maya platform. Read the full blog post in the comments.

Maya, which geospatial analyses can you generate reports from? 📚 Maya's analysis catalog gives you all the relevant information on datasets integrated into our Geospatial Copilot. Find the link in the comments. 🕵️♀️

Find Maya listed on the Taskforce on Nature-related Financial Disclosures (TNFD) Tools Catalogue! 🤩 Our Geospatial Copilot is now featured among tools that help organizations manage and report nature-related risks and opportunities. Curious about how it works? Check the comments for details. 🌳

🚀 Exciting Product Update! 🥁🐝 We’ve just launched our new AI-Supported Report Builder, and the results are crazy! One of the most requested features in Maya was the ability to combine different geospatial analyses from our automated reports into custom formats for easy sharing with team members or external parties. But we didn’t stop there. Our team added an AI Copilot that accesses all structured data from your analyses, helping you uncover unexpected correlations in the data. For example, in the video below, the copilot identified a correlation between fire and deforestation. Check out the video to see the new features in action. 🚀

Maya, how does Climate Asset Management speed up its investment screening process?⚡ "... Reports that previously would have taken days of manual research and analysis now come within minutes through Maya..." Read more on how Climate Asset Management leverages Maya's Geospatial Copilot to accelerate the investment screening of nature-based carbon projects in our latest customer success story. Link in the comments.

In her latest commentary, Ka Hei Chow compares the newly released JRC Tropical Moist Forest (TMF) dataset with Hansen Global Forest Change, focusing on their relevance to regulations like #EUDR and #REDD+.🌳 Check it out if you want to grasp the latest tools and data crucial for global forest monitoring and compliance.💡 Read her commentary here: https://lnkd.in/evSCH2W2

Maya, what's the drought risk in my Area Of Interest? 🏜️ Choose from several analysis jobs to assess historic drought conditions, such as the Palmer Drought Severity Index (PDSI)! The PDSI, as depicted below, takes precipitation and temperature into consideration to estimate drought. It estimates relative dryness and ranges from -10 (dry) to +10 (wet), with values below -3 representing a severe drought and below -4 an extreme drought. ➡️ Want to learn more about the analyses integrated into Maya? Check out our analysis catalog.