Seagrass meadows are among the most productive coastal ecosystems on Earth, yet they are experiencing widespread decline due to anthropogenic pressures and ...

Table 1. Computational comparison of SR architectures. Additionally, computational overhead remains prohibitive for edge deployment. Existing efficient methods (Wang et al., 2024) require L sequential ...

Using seven decades of global research papers, NYU Tandon researchers found that China makes up 47% of publications in remote sensing — a science that uses specialized sensors to gather data from ...

1 School of Agriculture and Environmental Science, University of Southern Queensland, Toowoomba, Australia. 2 Irrigation and Water Management Division, Bangladesh Rice Research Institute (BRRI), ...

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Semantic segmentation of remote sensing images is pivotal for comprehensive Earth observation, but the demand for interpreting new object categories, coupled with the high expense of manual annotation ...

Abstract: Object detection is an important part of remote sensing image analysis to accurately identify key features in Earth observation data while minimizing resource usage. However, challenges such ...

Nina Haikara of University of Toronto News writes: Researchers from the University of Toronto’s John H. Daniels Faculty of Architecture, Landscape, and Design have conducted an in-depth analysis of ...

Automated textual description of remote sensing images is essential for applications such as environmental monitoring, urban planning, and disaster management. However, most existing methods only ...

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 ...