The MAAP is a cloud platform designed to process and share data from NASA and ESA missions focused on biomass measurements. It provides scientists with tools to collaboratively discover, analyze, and generate insights from complex data.
The platform features a user-friendly environment for developing algorithms using Jupyter notebooks and then scaling these analyses in the cloud. Open-source and interoperable, the MAAP simplifies the transition from initial data exploration to large-scale processing.
You can learn more about the MAAP and see some examples on our documentation site.
Latest News
ESIP 2024
We will be at ESIP in July 2024! Come say hi. The MAAP Team has organized a session on Cross-Platform Interoperability for Scalable Computing in Open Science Analysis and Algorithm…
Towards global spaceborne lidar biomass: Developing and applying boreal forest biomass models for ICESat-2 laser altimetry data
Space-based laser altimetry has revolutionized our capacity to characterize terrestrial ecosystems through the direct observation of vegetation structure and the terrain beneath it. Data from NASA’s ICESat-2 mission provide the…
Advancing Data Fusion and Research Collaboration for Global Science Initiatives
Sujen Shah will present a poster highlighting several science applications of the MAAP Platform at AGU 2023. In this presentation, we will delve into the remarkable ways in which various…
Read More Advancing Data Fusion and Research Collaboration for Global Science Initiatives