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 and remove plastic debris from freshwater environments like the ...

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 ...

Abstract: Recently, multi-modal large language models (MLLMs) have shown excellent reasoning capabilities in various fields. Most of the existing remote sensing MLLMs solve image-level text generation ...

LiDAR is an active remote sensing technology which plays a pivotal role in this project. Known for its ability to rapidly capture geospatial data, LiDAR uses laser light to measure distances and ...

This survey draws upon research findings in pixel-level image fusion for remote sensing, outlining primary research directions, such as image sharpening, multi-modal image fusion, and spatio-temporal ...

It is described as a synthetic aperture radar (SAR) remote sensing satellite ... China has a range of active solid rockets. These are the Long March 11, Jielong-1 and Jielong-3 from CASC, the ...

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

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A remote school in Enga Province has achieved top honors in the recently announced Grade 12 National Examinations. Pitipas Secondary School, located in Enga Province, was among the best-performing ...