Up to 30% of bird diversity hotspots, places where large numbers of different bird species occur, in the western United ...

Abstract: Agricultural remote sensing community is increasingly focusing on enhancing crop mapping accuracy by improving data-driven machine-learning model structures, yet ignoring impact of ...

This repository contains codes and sample notebooks for downloading and processing the 2024 SWOT SSH mapping data challenge. Note that this data challenge is a somewhat extended version of the data ...

We collected child welfare data in 21 states to report on the consequences of faulty drug tests for pregnant women, including referrals to law enforcement.

Seabed 2030 aims to map the entirety of the ocean floor by 2030, but is it a possible endeavour – and what have they found so far?

Without context, manufacturing data is worthless. Here's what to consider to turn digital junkyards into gold nugget insights.

Every online store generates a steady stream of information. Customer browsing behavior, cart activity, payment and shipping details, product inventory ...

But do you know if there are major climate polluters near you? Thanks to several publicly available mapping tools, it’s never been easier to find out. As environmental protections are being rolled ...

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Abstract: Large-scale crop mapping not only requires high-quality remote sensing data, but also has high requirements for multisource data organization and interpretation. How to make full use of ...