The geomatics group studies the intricacies of bi-directional interactions between terrestrial ecosystems and the atmosphere. Our goal is to understand the climate vagaries corresponding to rapid urban sprawling, urban flooding, LULC and similar terrestrial phenomena. We include observations and models that can define and improve our adaptation strategies towards change in climate and ecosystems. The researchers are focused on urban simulations from historical and present data to forecast future climatic extremes and associated challenges. We also explore dynamics in the land cover and land surface processes, driven by both anthropogenic activities and natural causes. To achieve reliable outcomes with the highest accuracy, different models are used and developed. Data mining and geostatistical modelling of such multicriterial phenomena utilises remote sensing (Multi satellite data sets), in-situ observations, WRF-urban canopy model, numerical and machine learning techniques integrated with GIS datasets from softwares like ArcGIS, QGIS, Erdas, SNAP, ENVI, TerrSet, LUMPS, etc.