Narayan Thapa
I'm a Geomatics Engineer and Kathmandu University graduate, committed to using geospatial technology to tackle climate change, land use, disasters, and agriculture. My expertise in remote sensing and GIS powers impactful projects, from monitoring to mapping and prediction, as well as optimizing agriculture. Collaborating with diverse teams, I contribute to evidence-based decisions for a sustainable world. Driven by environmental preservation, I aim to create lasting impact, enhancing resilience against evolving challenges.
Sessions
Open Street Map (OSM) is a collaborative and open-source platform that aims to create a detailed and freely accessible digital data of the world. The OSM data has been developed from approaches like Maxar and Bing Imagery helps to address the local level issues during the climate change and disaster. However, in densely populated urban area, the mentioned imagery resolution does not seem to fulfill the necessary resolution required to produce the digital data. In such a case the high resolution imagery is required. Hence, this study has adopted advanced approach of integrating high-resolution drone imagery, facilitated by OSM platform. The study is conducted in the Banepa Municipality of Nepal. With an aim of collecting the inventory of roof top which are feasible for farming, the concept of Volunteered Geographic Information System (VGIS) has been applied. A multi criteria analysis including Roof Shape, Tin Roof, Buildings Materials, Water tanks. Solar Panels, collected by VGIS technique, was used to extract suitable rooftop areas. Total number of houses in study area is 1055. The result shows 10.23 % (505.2 m2) are already adopting rooftop farming. Housing structure shows that 1.7 % are temporary, 54 % are concrete houses which include 16.68 % (Single flat roofs) and 37.25 % (double roofs), 16.1 % (with solar panels), and 47.86. % (with water tank). The preliminary analysis suggest that 54.02 % houses (approximately 48500 m2 ) are potential roof top farming areas identified by excluding Tin roof, water tank and solar panel areas. Having these data collected, the main aims of this study is to describe the methodological process and the strength and weakness identified during the process of developing the data inventory by OSM by integrating OAM. Finally, this study recommend the necessary intervention needed.