September Product Update: Effortlessly Share Reports & Explore 5 New Analysis Jobs
We’re excited to announce the launch of a new feature – sharing links for your reports! With this enhancement, sharing your customized reports has never been easier.
But that’s not all – this update also brings 5 new analysis jobs. Discover 3 in-depth GLAD Land Cover analyses, dive into terrain and elevation insights, and explore population dynamics with our latest dataset integrations.
Plus, hear from Climate Asset Management on how they’re leveraging Maya to screen nature-based carbon projects.
Effortlessly Share Reports with Stakeholders 🔗
Sharing reports with your team or external partners is now easier than ever! You’re in control—decide who can access your report and set an expiration date for their access while benefiting from detailed report analytics.
Explore Our Expanding Suite of Datasets 📈
Explore the full analysis catalog here.
I. Select from 3 New GLAD Land Cover Analyses
We are excited to introduce 3 (!!!) new analysis jobs using the Global Land Cover and Land Use Change data from the Global Land Analysis & Discovery (GLAD) laboratory. The new GLAD Land Cover analyses include:
- Land Cover GLAD 24 Classes: Categorizes the world’s surface into 24 aggregated land cover classes.
- Land Cover GLAD 8 Classes: Simplifies the classification into 8 distinct land cover classes.
- Land Cover GLAD Wetlands: Focuses on differentiating between various wetland land cover classes for detailed insights.
Each analysis comes with a map, chart, and text commentary. But that's not all – we've added exciting new insights: A class transition chart that illustrates how land cover classes have transformed from 2000 to 2020. 🤯
II. Master Your Terrain ⛰️
This analysis uses the Copernicus Digital Elevation Model by the European Space Agency to display elevation and terrain data. This is perfect for answering questions such as whether an area is too steep for access or suitable for your next afforestation project.
III. Uncover Population Dynamics 🧍
Leverage population data from 1975-2030 to gain insights into population distribution over time and understand how many people will be impacted by your projects.
Delphine from Maya Climate 🧡