In the context of increasing attention to forest resource management and ecological protection, remote sensing technology, as an efficient and widely used monitoring tool, has made significant ...

The integration of Remote Sensing (RS) and Artificial Intelligence (AI) is rapidly reshaping agricultural practices, marking a significant step forward in how crops are monitored and managed. RS ...

The study aims to enhance resilience modeling and adaptation planning to safeguard these critical heritage sites. The ...

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 ...

Abstract: Accurate tropospheric delay forecasts are imperative for microwave-based remote sensing techniques, playing a pivotal role in early warning and forecasting of natural disasters such as ...

This course covers the practical and theoretical principles of remote sensing for observing the Earth from air and space. The course's primary focus is monitoring Earth's surface processes from ...

Then, a weighted layer was created using statistical models and machine learning techniques, refining the population data down to the census block (CB) level. Model validation used random sampling and ...

Remote sensing technology enables the aerial observation of terrestrial and marine features, with high-resolution images revealing diverse objects. Deep learning techniques have gained prominence for ...

David Herring, Science, Systems, and Applications, Inc.

The company headquarters for ARKA at 100 Wooster Heights Road in Danbury. Photo courtesy of ARKA DANBURY – Remote sensing ...

Technological advancements such as 3D scans based on drone images are helping archaeologists document Europe's heritage ...