We use cutting-edge remote sensing techniques to analyse large datasets, unlocking new knowledge for environmental monitoring and other fields. Our research group focuses on developing innovative ...

SkyEyeGPT SkyEyeGPT: Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language Model Arxiv2024 Paper link EarthGPT EarthGPT: A Universal Multi-modal Large Language Model ...

This repo is used for recording, and tracking recent Remote Sensing Temporal Vision-Language Models (RS-TVLMs). If you find any work missing or have any suggestions (papers, implementations, and other ...

A first-of-its-kind study from researchers at the University of Minnesota Twin Cities shows how remote sensing can help monitor ... technology that enhances the image quality and ...

Abstract: Current methods for salient object detection in optical remote sensing images (RSI-SOD) adhere strictly to the conventional supervised train-test paradigm, where models remain fixed after ...

Abstract: The precise identification of semantic changes in remote sensing images is of great significance in the domains of urban planning and disaster assessment. Nevertheless, current change ...

The group focuses on observing and modeling coastal processes including beach evolution, cliff erosion, and nearshore waves. CW3E provides water cycle science, technology and outreach to support ...

With recent technological advances, a variety of satellite-based monitoring systems are available to aid conservation ...

Offered by the Department of Earth Sciences at The Faculty of Science ...

This shift has occurred through two key avenues: first, the integration of bitcoin into public balance sheets as a treasury asset, and second, the success of U.S. spot-listed exchange-traded funds ...

An oxygen-sensing protein called hypoxia-inducible factor-1alpha, or HIF-1alpha, may contribute to worsening pulmonary arterial hypertension (PAH) and is a possible therapeutic target for people with ...