The symposium would bring together experts from fields such as ecology, remote sensing, data science, and conservation biology to discuss how advanced remote sensing technologies—spanning from drone-based systems to satellite platforms—can be employed to quantify biodiversity and understand complex ecological interactions. Key topics would include: Remote sensing technologies such as drones which offer high-resolution data and flexibility in sampling small to medium-scale areas. Presentations would explore how drones are used for detailed habitat mapping, species monitoring, and vegetation analysis. Applications like measuring plant health, detecting animal presence will be discussed. Satellite systems such as Landsat, Sentinel, and commercial platforms (e.g., WorldView) provide large-scale, high-frequency data. We will discuss the role of satellite imagery in tracking global biodiversity patterns and large-scale ecological shifts. We will further discuss the integration of multiple platforms: There would be a focus on combining drone data with satellite data for a more comprehensive view of biodiversity interactions. We will focus on quantifying biodiversity. For instance using state of the art species distribution modelling. Presentations would explore how remote sensing data, coupled with machine learning and AI, can predict species distributions across large areas, even in remote or inaccessible regions. Lastly, we will discuss the quantification of biodiversity interactions. Ecological Interactions and network Analysis: Remote sensing data can help analyse interactions between species, including predator-prey relationships, pollination networks, and plant-animal interactions. By tracking habitat quality and spatial patterns, Lastly, we will have presentations that touch upon climate change and habitat shifts. Remote sensing can track how changing climatic conditions affect biodiversity. Presenters would discuss how satellite data is being used to monitor shifts in species distributions and the resulting ecological interactions due to temperature changes, drought, or extreme weather events.