Insights into the breeding and stocking of all known mahseer species through an integrated analysis of the scientific publications available on multiple databases, English newspapers published from their distribution range, and the social media (YouTube, Facebook, Xand Instagram) posts and the public engagement they received.
This study uncovers latent socio-environmental impacts of Uttarakhand’s massive Char Dham Expressway project. It introduces an innovative framework fusing machine learning with satellite monitoring to assess shifting household vulnerabilities and land-use nature along three segments of the corridor. By analysing pre-development, construction, and post-development phases, the findings show how excavation and infrastructure work directly disrupt local water bodies and agriculture-based livelihoods.
This paper presents a review of how Remote Sensing (RS) and Geographic Information Systems (GIS) have transformed archaeological and heritage research. Rather than organizing the field around sensors and technologies, the paper proposes a research-question-driven framework, examining how geospatial methods address problems such as feature detection, settlement systems, historical geography, site extent, heritage management, built heritage documentation, and archaeoastronomy.
Aishwarya Prashant Mhaske and Francesc Conesa examine the challenges of using legacy archaeological datasets for spatial research through a case study of Mature Harappan sites in eastern Kachchh. The study demonstrates how inconsistencies in legacy coordinates, duplicate site records, and uncertain cultural attributions can affect archaeological interpretation, and evaluates the complementary roles of remote sensing, historical maps, GIS, and field verification in critically reassessing these datasets.