Data Source: Surface Area of Rivers and Lakes (SARL) retrieved from GEE community using Google Earth Engine Tools used: #QGIS

#30DayMapChallenge Day 20 – #Water I focused on visualizing spatio–temporal change at the convergence of the Ganga and Yamuna rivers at Prayagraj (the Triveni Sangam). #GIS #RemoteSensing #Hydrography #TemporalAnalysis #Cartography #India

Data Source: Google Satellite Imagery Tools used: #QGIS

Amazing thing about the AEP is that all straight lines drawn from the central point (Delhi) to any other point on the map represent the actual shortest distance on Earth! These are the Great Circle routes – the shortest, fastest path a plane or communication signal would take.

#30DayMapChallenge Day 19 – #Projections For the "Projections" theme, I decided to shift the entire global perspective by mapping the world using the Azimuthal Equidistant Projection (AEP), centered directly on Delhi. #GIS #Cartography #GreatCircle #Delhi #Geospatial #Mapping

Data Source: Global Average Wind Speeds by Month and Altitude using Living Atlas Tools used: #ArcGISOnline, #OpenshotVideoEditor

This map uses particle animation to turn raw atmospheric data into a mesmerizing, painterly visualization of air movement.

#30DayMapChallenge Day 17 – A new tool I finally crossed a major item off my #geospatial to-do list: making a dynamic flow map using ArcGIS Online! Inspired by @John_M_Nelson's iconic "Van Gogh" style tutorials, I visualized seasonal #windflow patterns over Indian subcontinent.

Data Source: Global mobile (cellular) network performance retrieved from GEE community using Google Earth Engine Tools used: #QGIS, #Python, #GoogleEarthEngine

The blue dots map the 610X610 mobile network cells that achieve Excellent Latency (<30 ms), the gold standard for real-time applications, cloud gaming, and robust video conferencing.

#30DayMapChallenge Day 16 – Cell Today’s #GIF visualizes a transformative moment in India's digital history: the rapid, widespread deployment of #5G and the resulting explosion of increased #connectivity. #GIS #Cellular #Latency #OoklaOpenData #Telecom #DigitalIndia #Geospatial

Special thanks to @rajbhagatt for inspiring the visualization idea! 😇 Data Source: NASA FIRMS (Fire Information for Resource Management System) November 1-12, 2025 retrieved using Google Earth Engine Tools used: #QGIS, #Python, #GoogleEarthEngine

#30DayMapChallenge Day 15 – #Fire Today's #GIF visualizes possible active fires showing stark signature of #stubbleburning after the rice harvest detected between November 1-12 across #Punjab, #Haryana, and adjacent parts of Pakistan. #GIS #RemoteSensing #FIRMS #AirPollution

Data Source: OpenStreetMap (OSM) 2025 Tools used: #QGIS, #Python

#30DayMapChallenge Day 14 – #OSM Today's #map celebrates the ultimate collaborative geospatial project: #OpenStreetMap, highlighting which states are the most connected per unit of area. #GIS #RoadDensity #Infrastructure #DataVisualization #Geospatial #MappingCommunity

Data Source: Harmonized Global Nighttime Lights (1992-2021) retrieved from GEE community in Google Earth Engine using #PyQGIS Tools used: #QGIS, Google Earth Engine, Microsoft PowerPoint

It was a beautiful claim, but now I know what it actually was. And thanks to open data, I was able to create similar night-lights map in under 10 minutes.

#30DayMapChallenge Day 13 – 10 Minute Map For years, I, like many others – remember seeing that mesmerizing, brightly lit satellite image of India that circulated online, often captioned as "India during Diwali." #GIS #DataLiteracy #10MinuteMap #NightLights #Geospatial

Data Source: Open Street Map 2025 Tools used: QGIS

It shows the geometric blueprint of a global city that is defined by its ability to move people and goods without friction.