An international research team has developed an index-based remote sensing method to see trends in the global development of ...

A new prediction method was tested with satellite remote sensing and species distribution data over 20 years in Andalusia, ...

Approximately 30% of global carbon dioxide (CO2) emissions are removed by terrestrial vegetation through photosynthesis.

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This study developed a high-resolution canopy height model by integrating multi-sensor remote sensing data—NASA’s GEDI LiDAR, ESA’s Sentinel-1 SAR, and Sentinel-2 optical imagery—using a Random Forest ...

Remote sensing AI foundation models, which are large, pre-trained models adaptable to various tasks, dramatically reduce the resources required to perform environmental monitoring, a central task for ...

What they are less eager to disclose is information about their environmental impact. In the absence of clear data, a number of estimates have circulated. However, a new study published in Cornell ...

Abstract: This paper analyzes the remote sensing evaluation factors of urban ecological environment basic quality, and builds the remote sensing evaluation model of urban ecological environment basic ...

Abstract: Remote sensing semantic segmentation has broad applications in critical fields such as urban planning and environmental monitoring. Semi-supervised semantic segmentation methods tackle the ...

The future trends in studies of environment and multi-dimensional global change are presented. The author declares that the research was conducted in the absence of any commercial or financial ...

Yaogan 40 Group 02 will "carry out electromagnetic environment detection and related technical tests." — China launches classified Yaogan remote sensing satellites (video) — Amazing satellite ...