MatrixSpace delivers an advanced AI-enabled, portable C-UAS detection platform, addressing the urgent need for highly accurate counter drone capabilities. The MatrixSpace AI Platform provides ...

A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a ...

A perspective in the Journal of the Royal Society Interface argues that advances in AI, sensing technologies and modeling are ...

From wildlife movement research to fire ecology, M.S. in Biodiversity Data Analytics lecturer Jay M. Schoen explains how ...

Apple is exploring multispectral imaging technology for future iPhone cameras that could improve Visual Intelligence, enhance material detection, and boost image processing, according to a new supply ...

Harmful algal blooms (HABs) pose a growing threat to aquatic ecosystems, human health, and economies worldwide. Climate change and nutrient enrichment have driven an increase in both the size and ...

ABSTRACT: The study applied remote sensing techniques to detect dust deposits on photovoltaic solar panels in Kita, Mali, using the Google Earth Engine (GEE) platform. Sentinel-2 images (2021-2023) ...

The third Long March 7A rocket lifts off from Wenchang, Dec. 23, 2021, carrying two Shiyan-12 satellites. Credit: CASC/Liu Yan HELSINKI — Chinese spacecraft have imaged orbiting U.S. commercial and ...

The integration of artificial intelligence (AI) with remote sensing (RS) technologies is transforming modern agricultural monitoring, offering a new paradigm for accuracy, scalability, and efficiency ...

Abstract: This article introduces an uncrewed aerial vehicle (UAV)-based multispectral model, YOLO-SPAD, for rapid, nondestructive estimation of the relative chlorophyll content of tea leaves. This is ...

In this study, multispectral images were used to detect toxic blooms in Villarrica Lake in Chile, using a time series of water quality data from 1989 to 2024, based on the extraction of spectral ...