Sonakshi Mehrotra and Anil Kumar The Kumbh Mela 2025 in Prayagraj, a grand spiritual and cultural congregation, presents unique challenges and opportunities for effective monitoring and management. With millions of pilgrims expected, temporal remote sensing technology offers a dynamic approach to track spatial and temporal changes, including land-use transformations, crowd density patterns, and infrastructure development. High-resolution satellite imagery like DOVE Continue Reading »

Soil erosion is a major land degradation problem and poses serious environmental and socio-economic crisis worldwide. The Himalayan hills and mountains are very fragile and being threatened by land degradation caused by soil erosion by water that poses serious challenges to the soil ecosystem services and sustainability of natural resources. Reliable estimate of long-term soil erosion rate of various land Continue Reading »

The power of earth observation, proximal sensing, in-situ observations and their interpretation has tremendously increased, enabling us to perceive the invisible and gain fresh insights into the past and our own identity. Various studies have demonstrated that RS has played a significant role towards archaeological research and in developing a broad understanding of the past. This is because of their Continue Reading »

Floods in Bihar are a common phenomenon during monsoon seasons starting from June to September. From the analysis of long term in-situ gauge data and historical satellite based observations it is well observed that June marks the onset of flooding which progressively increases in July and August months followed by a declining and progressive recession in flooding from mid-September. Gauge Continue Reading »

Generative AI or GenAI, also known as Generative Adversarial Networks (GANs), is a branch of artificial intelligence that focuses on generating new data that resembles a given training dataset. It involves training a generative model to create new samples that are similar in distribution to the original data, allowing it to generate realistic and novel outputs. In a typical generative Continue Reading »