FOSS4G-Asia 2023 Seoul


Dr. Reshma Shrestha is Associate Professor/ Head of Department of Geomatics Engineering, at Kathmandu University. She holds PhD degree from the University of Twente, Netherlands. With more than 10 years of experience in the academic field, her research interest embedded in the application of geospatial technology, land management. She has publications in ISI index journal, peer reviewed, book chapters and conference proceedings and reviewer of Elsevier, and MDPI journals. She coordinated the FOSS4G-Asia 2021.


Implication of Open Street Map and Open Aerial Map for Sustainable Urban Agriculture: A Case study of Rooftop Farming in Banepa Municipality
Reshma, Narayan Thapa

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.

General Track(Talks, Online Talks, Lightning Talks, Workshops)
Circle Room