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

A lot can change in a year for Earth's forests and vegetation, as springtime and rainy seasons can bring new growth, while ...

We were able to identify the layout of the streets of this city, which was also a fascinating discovery,” Eduardo Neves, director of the University of São Paulo’s Museum of Archaeology and Ethnography ...

BHUBANESWAR: Forest fire has emerged as the latest threat to the lush, green expanse of Northeast India, often called the ‘Seven Sister States’. A new scientifi ...

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 ...

Unlike existing models that rely on expensive or infrequently collected data, BloomSense uses a cost-effective sensor ...

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 ...

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 ...

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 ...

For instance, a user interested in tracking deforestation might be interested in creating an alert for new logging roads in a given area (change detection and classification). Alternatively, the user ...

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 ...