Remote Sensing Applications in Agricultural, Earth and Environmental Sciences

Recent advancements in remote sensing technologies have enhanced the ability to detect, discriminate and map entities on the Earth's surface. Enhanced sensor fidelity now provides greater insight into the biophysical and ecological processes driving spatial variability, which offer capabilities that surpass those of earlier-generation sensors. The emergence of machine learning and deep learning frameworks complements these technological advancements, demonstrating greater predictive capability and output accuracy compared to conventional analytical approaches. These innovations reshape research across multiple scientific domains, developing new opportunities for precision agriculture, forestry, natural resource management, climate change monitoring, and broader agricultural, earth, and environmental sciences. By advancing methodological capabilities, remote sensing contributes directly to sustainable development goals, facilitating informed decision-making and improving understanding of human-environment systems under climate change. This Special Issue brings together a comprehensive review article and high-quality original research that explores cutting-edge remote sensing applications in agriculture, earth, and environmental sciences, with a particular emphasis on recent methodological and technological advances.