This study introduces a comprehensive analysis of various soil-resistant vegetation indices (VIs) designed to mitigate the effects of soil moisture and soil type. It assesses the sensitivity of 32 VIs ...

Balancing nitrogen use is critical for maximizing crop yield while minimizing environmental and economic costs. A new approach integrates drone-based multispectral imaging with machine learning to ...

Florida is center stage for some of the most complex engineering and environmental challenges in the nation, from intensifying hurricanes to aging infrastructure.

Beijing Normal University professor led major R&D programmes and was instrumental in boosting China's food security with ...

Atmospheric pollution, characterized by complex aerosols and ozone, poses a significant global challenge to climate, environment, and public health.

Manifest includes organizations from 13 countries, spanning diverse missions -- communications, IoT, remote sensing, ...

The geographer is the first from UB to receive the honor, which recognizes exceptional contributions to the field through research, teaching or outreach.

The field of Earth Observation (EO) is continuously advancing with the development of new optical remote sensing techniques and instrument concepts. These ...

For decades, global soil moisture monitoring from space has depended on reference datasets. Satellite observations, while indispensable, are rarely used alone; instead, their retrieval algorithms are ...

Using drones makes detecting land mines safer. Using AI to fuse data from multiple types of sensors on the drones makes it more efficient.

Abstract: This paper develops a novel hybrid model based on Generative Adversarial Networks (GANs) and Differential Evolution (DE) to enhance remote sensing data and optimize resource assessment ...

With the transformation of the global energy structure and the pursuit of sustainable development, wind energy has received extensive attention as an important renewable energy source. Accurate and ...