Integrating Artificial Intelligence (AI) techniques with remote sensing holds great potential for
revolutionizing data analysis and applications in many domains of Earth sciences. This …

Artificial intelligence (AI) plays a growing role in remote sensing (RS). Applications of AI,
particularly machine learning algorithms, range from initial image processing to high-level …

Remote sensing (RS) plays an important role gathering data in many critical domains (eg,
global climate change, risk assessment and vulnerability reduction of natural hazards …

In past years, we have witnessed the fields of geosciences and remote sensing and artificial
intelligence (AI) become closer. Thanks to the massive availability of observational data …

Artificial intelligence (AI) and machine learning (ML) have been applied to solve various
remote sensing problems. To fully leverage the power of AI and ML to tackle impactful …

Geographic spaces is a vast and complex system involving multiple elements and nonlinear
interactions of these elements, and rich in geographical phenomena, processes and …

Analyzing satellite images and remote sensing (RS) data using artificial intelligence (AI)
tools and data fusion strategies has recently opened new perspectives for environmental …

ABSTRACT Artificial Intelligence (AI) Machine Learning (ML) technologies, particularly Deep
Learning (DL), have demonstrated significant potential in the interpretation of Remote …

Change detection based on remote sensing (RS) data is an important method of detecting
changes on the Earth's surface and has a wide range of applications in urban planning …

In recent years, Earth system sciences are urgently calling for innovation on improving
accuracy, enhancing model intelligence level, scaling up operation, and reducing costs in …