Forest change affects carbon flux through forest disturbance, management activities, growth, and restoration. These carbon flux estimates provide a basis for determining carbon credits critical to ...

Abstract: High-resolution (HR) remote sensing image change detection aims to identify surface changes; however, complex scenes and irregular object edges pose significant challenges to achieving ...

Abstract: Change Detection (CD) is a fundamental task in remote sensing image analysis, widely applied in fields such as municipal planning and vital signs monitoring. However, many existing methods ...

Multi-temporal Landsat satellite images were classified using the Random Forest algorithm to assess LULC transitions across elevation and slope gradients. The results revealed marked variations in ...

Augsenselab, a Thiruvananthapuram-headquartered quantum sensing and remote sensing startup, has raised $0.5 million in pre-seed funding from Emul Tek Private Limited, a 100 per cent subsidiary of ...

A new prediction method was tested with satellite remote sensing and species distribution data over 20 years in Andalusia, making possible the development of more dynamic and integrative ...

As global temperatures rise, ecosystems face new pressures and often multiple challenges simultaneously. This was the case in ...

This realization has prompted calls to integrate global freshwater ecosystem data, including traditional taxonomic and newer types of data (e.g., eDNA, remote sensing), to more comprehensively assess ...

Archaeologists are using artificial intelligence to investigate ancient artifacts and uncover the story of human culture.

ABSTRACT: Accurate canopy height estimation is critical for forest management and carbon monitoring in Zambia’s ecologically diverse landscapes. This study developed a high-resolution canopy height ...

Nearly five million acres have burned since Russia’s latest invasion in 2022, ignited by rocket fire, artillery shelling, and ...