Abstract: Deep learning-based high-resolution remote sensing for farmland extraction is a crucial method for obtaining large-scale farmland information. However, variations in crop types, growth ...

From smartphones and gaming consoles to electric SUVs, the devices that define modern life depend on a hidden supply chain of ...

NASA’s OPERA project delivers analysis-ready satellite data to federal agencies, supporting environmental monitoring, disaster response, infrastructure assessment, and agricultural management through ...

For decades, soil management has relied on sparse field sampling and averaged recommendations. While effective in relatively uniform landscapes, this approach breaks down in real-world fields where ...

Recently, micro/nanosatellites have become a significant trend in space with the rapid development of space technology, ...

A new type of lidar is allowing physicists to study cloud tops at a resolution 100 to 1,000 times higher than before.

The results show that the peak annual average non-photosynthetic vegetation coverage accounts for about 37 percent of China's total land area and is increasing significantly at a rate of 0.14 percent ...

In a significant milestone for its national space program, Iran is preparing for a coordinated launch of three domestically ...

A decade ago, biodiversity monitoring often required researchers to haul heavy equipment across rugged mountains and vast ...

Imaging technology has transformed how we observe the universe—from mapping distant galaxies with radio telescope arrays to ...

THE use of very high resolution (VHR) satellite imagery and remote sensing for monitoring farm-to-market roads (FMRs) has been found to be “accessible, efficient, and cost-effective,“ according to two ...

On the grasslands of north China's Inner Mongolia Autonomous Region, Wang Yongcai, an engineer, and his colleagues are constructing what they describe as one of China's most comprehensive grassland ...