Assessment of Urban Heat Island (UHI) in Bengaluru Using Earth Observation Datasets.
Rapid urbanisation causes several issues, including the Urban Heat Island (UHI) effect, where urban areas experience significantly higher temperatures than their rural surroundings. This is due to several factors associated with urbanisation, including the replacement of vegetation with buildings, roads, and other impermeable surfaces that absorb and retain heat. Additionally, heat emissions from industries and […]
Modelling Agricultural Land Suitability based on Soil Properties
Suitability studies in Geographic Information Systems (GIS) play a vital role in spatial planning and resource management by assessing the appropriateness of a given area for specific land uses based on various criteria. These studies integrate multiple datasets and analytical techniques to evaluate how well certain locations meet predefined requirements, thus guiding decision-making in sectors […]
Simple Routing – Compute Distance, Duration And Shortest Path Along Road Between Two Points
Routing is an essential component of modern mapping and navigation systems, enabling users to find the shortest or most efficient path between two points on a road network. In this use case, routing was implemented to compute the distance, duration, and shortest path between points of interest in Varanasi, Uttar Pradesh. The ability to determine […]
Mapping Natural Drains From Contour Data
Natural drains act as channels that collect and transport surface water, influencing ecosystems. Mapping these natural drains is essential for understanding the flow of water across a landscape, which has wide-ranging applications in water resource management, flood risk assessment, and environmental protection. To generate natural drains, contour data available for Sirmaur, Himachal Pradesh in the […]
Flood Inundation Modelling
Flood inundation refers to the submergence of land areas due to rising water levels during extreme weather events, such as heavy rainfall or overflowing rivers. Accurate mapping of flood-prone areas is crucial for disaster preparedness, emergency response, and effective damage assessment. By predicting which regions are most likely to be inundated, authorities can develop early […]
A New Era of Data for Public Good: CDPG 2024 Symposium Highlights and Future Directions
The Symposium on Data for Public Good 2024 was a resounding success, bringing together thought leaders, practitioners, and innovators from across the globe to explore the transformative potential of data in addressing societal challenges. Held in JN Tata Auditorium, in IISc, on September 19-20, the symposium served as a vibrant platform for knowledge sharing, networking, […]
Land Use/Land Cover(LULC) Classification with Semi-Supervised Learning
Authors: Rakshit Ramesh,Yash Chandrashekhar Dixit INTRODUCTION Land Use Land Cover (LULC) classification is a vital process in remote sensing and geographic information systems. It categorizes Earth’s surface based on physical cover (e.g., forests, water, buildings) and human usage (e.g., agriculture, urban development, conservation). For instance, an area may have a land cover of ‘grass’ with […]
Exploring India’s Wind Patterns using data
India’s energy sector is significantly propelled by its robust indigenous wind power industry, which has demonstrated consistent and notable growth over time. Wind energy accounts for approximately 35% of the total renewable energy1 in the country. As of 2020, India ranked 4th in wind power and 5th in solar power globally2. Looking ahead, India has […]
Urban Sprawl along the Indian coastlines using Data
Urban sprawl around India’s coastline is a growing concern as the nation continues to urbanize rapidly. With an extensive coastline stretching approximately 7,500 kilometers1, encompassing the Bay of Bengal, the Indian Ocean, and the Arabian Sea, India’s coastal regions are home to numerous major cities and towns. This urban expansion is driven by economic opportunities, […]
Harvesting tomorrow with Farm Forensics: AI Revolutionizing Plant Disease Detection in Agriculture
Author: Joel Joy “If agriculture goes wrong, nothing else will have a chance to go right in the country”– M S Swaminathan, Indian agronomist and agricultural scientist Agriculture stands as the backbone of many economies worldwide, playing a vital role in ensuring food security and sustaining livelihoods. In India, agriculture is not only a significant […]