Imagery and other data collected by satellites, manned aircraft, and Unmanned Aerial Systems (drones) is increasingly important for studying natural systems and human activities across scales, from ...

The sustainability project Remote Sensing for Floriculture (RS4F2), was launched on Friday, January 24, at the Dutch Landgoed ...

The optical imagery is rendered in RGB format, and the DSMs are stored with float precision ... building extraction and change detection”, in ISPRS Journal of Photogrammetry and Remote Sensing, in ...

"MineNetCD—A Benchmark for Global Mining Change Detection on Remote Sensing Imagery" is the title of a comprehensive study ...

Geologists use hyperspectral imagery to understand geologic structures or to locate important mineral deposits. Remote sensing is an interdisciplinary tool with increasing value in research and the ...

Scientists have produced the first remote sensing analysis of how water clouded by sediment in glacier meltwater moves on the ...

The automatic detection of vehicles from aerial imagery is of interest for various applications such as traffic management, parking surveillance, and urban planning. The airborne optical sensors ...

This first-of-its-kind integration of SAR and optical imagery addresses critical needs across sectors, including defence, ...

In a recent article published in the journal Remote Sensing, researchers presented a novel approach for detecting bare coal in open-pit mining areas using Landsat imagery. The increasing demand ...

/ Internship Remote sensing for impact monitoring internship-remote-sensing-for-impact-monitoring Internship Remote sensing for impact monitoring ...