Generate single-band (grayscale), multispectral, or hyperspectral imagery; Simulate active sensing (e.g. LiDAR) and evolving RF / radar capabilities; Design and test imaging system architectures; ...

Abstract: Spectral mixture analysis has been an important research topic in remote sensing applications, particularly for hyperspectral remote sensing data processing. On the basis of linear spectral ...

Abstract: In land-use classification of hyperspectral remote sensing (RS) images, traditional classification methods often experience large amount of datasets and low efficiency. To solve these ...

BEIJING, July 4 (China Economic Net) - A robot working in a kiwifruit orchard may be one of the clearest images of how artificial intelligence is reaching China’s farms.

Studying the scale and intensity of previous fires can help us to detect thermal hotspots earlier and support faster, smarter ...

BIT Mesra has launched 'HimClimX', an AI-powered platform designed for Himalayan climate intelligence and visualisation. It integrates over a century of climate data to offer trend analysis, anomaly ...

A laser survey originally flown to track deforestation across southern Mexico has led scientists to detect traces of an ...

When climbers reached the crown of a massive Taiwania cryptomerioides fir deep in Taiwan’s Da’an River valley and dropped a ...

For the classification and zoning study of crops at Jianshan Farm, data were acquired by integrating Sentinel-2 optical satellite imagery with Sentinel-1 radar satellite imagery. Different crop ...

Rivers are among the most important drinking water sources in the world but they remain difficult to monitor ...

Telecommunications, transport, weather forecasting and countless other services now depend on satellite systems. Dr Stavros ...