Emerging trends in IoT and Drone technology are revolutionizing environmental monitoring through effective data collection and analysis. This research proposes a novel geospatial data sensing platform mounted on a Unmanned Aerial Vehicles to collect selected environmental parameters including moisture, temperature, and PM2.5. The designed platform is built using Arduino Mega micro controller, PM2.5 sensor, GPS sensor, and a DHT sensor enabling to collect geospatial data. The collected data is further stored on a SD card embedded within the designed platform. The stored data can be further processed and visualized using an open source GIS environment. For demonstration, the data is collected within a University campus located in Andhra Pradesh, India. The recorded data analysis shows that the mean temperature is 39.4°C with a variance of 9.2°C, mean humidity is 29.2% with a variance of 82.0%, and mean dust concentration is 143.6 mg/m3 with a variance of 5.3 mg/m3. The applications of the developed tool can be extended to various other potential applications such as precision agriculture, climate monitoring, and disaster management.