July 2022
Faculty and students presented a paper on Spatial Factor Analysis of Mobile IoT Data: A Case Study on PM Across India at the 42nd Annual IEEE International Geoscience and Remote Sensing Symposium (IGARSS-2022) held in Kuala Lumpur, Malaysia from 17 – 22 July, 2022. Research work as explained by the authors – Souradeep Deb, Ayush Dwivedi, Dr. Sachin Chaudhari and Dr. K S Rajan:
This paper proposes a novel methodology of analysing mobile Internet of Things (IoT) data by performing spatial and anthropogenic factor-based thematic interactions with it to retrieve interesting patterns that account for the data variation.
In order to test out this methodology, a study is conducted by collecting Particulate Matter (PM) data across India using a mobile IoT node, and look into the neighbouring spatial and anthropogenic factors such as human activities, settlement patterns and vegetation profile corresponding to each geo-location of the PM data. By performing the spatial factor analysis on the mobile IoT data, we evaluated the influence of human activities on PM10 levels, most significantly observed for 0<PM10<100, which highlights commercial and industrial zones as primary PM10 contributors. It is also observed that rural settlement regions witness lesser PM10 levels as compared to semi-urban and urban regions. The vegetation profile within 500 m and 1 km buffer zones around all the locations show limited influence over PM10 levels. This study shows the importance of mobile IoT deployment in accounting spatial variation as opposed to traditional stationary IoT deployment for pollution monitoring.
Website: https://www.igarss2022.org/