Researchers in China are promoting a new machine-learning model built from satellite images that can offer a “lightweight and ...

Unmanned aerial vehicles (UAVs), commonly known as drones, have revolutionized spatial data collection in recent years by offering flexible, low-cost platforms for aerial imagery and remote sensing.

Fox River is the main source of land-based pollutants that flows into the southern Green Bay of Lake Michigan. Evaluation of water quality is normally based on time consuming and expensive in situ ...

Advance Your GI Science Knowledge With MTU's Remote Sensing Certificate. Mountainous terrain, dense forests, swamps and wetlands, and coastal groves and mangroves. These are some examples of difficult ...

Analyze images and other data to solve problems across disciplines. Imagery and other data collected by satellites, crewed aircraft, and uncrewed aerial systems (UAS) are increasingly important for ...

In mapping and monitoring the environment, a major role is played by hyperspectral remote sensing. To detect wetland ecosystems impacted by oil, the information from hyperspectral imagery can be used.

Ramesh Sivanpillai, a remote-sensing scientist with the Wyoming Geographic Information Science Center (WyGISC) at the University of Wyoming, has been named a fellow of the American Society for ...

Cover; Half Title; Series; Title; Copyright; Contents; Preface; Editors; Contributors; Section I: Reference systems of planetary bodies; Chapter 1 A technical ...

This study is led by Prof. Guangsheng Zhou (State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences) and Prof. Hongrui Ren (Department of Geomatics, Taiyuan University of ...

Eye-safe lasers are especially important in parts of Industry and human life. Because the human eye cannot perceive these wavelengths, it can be harmed in a completely unconscious state. This ...