Events

Amity School of Earth and Environmental Sciences organized online lecture on Some Advanced Applications of Remote Sensing” on 19^th June 2020.

The Main Objective of the event is to highlighted that in recent years, remote sensing techniques have emerged as a powerful and operational tool for producing large-area forest inventory data at a fine spatial resolution. In particular, with the fast development of 3D active systems (like laser scanning or SAR), the accurate monitoring and characterization of volumetric structures of vegetation can be made possible for wall to wall sampling based  regional or national forest inventories. Because the spatial extent and resolution size of a given sensor are inversely related, so far, large-area forest inventories that are based on remote sensing often rely on integrating multiple sources of data, which have different levels of detail in a multi-phase sampling framework. event presented insights into whole processing pipeline for remote sensing based precision forestry. In this pipeline, different sensor and field data are processed and evaluated together to drive important parameters (such as the pattern and extent of volumetric forest structures, species compositions, and the physiological conditions of single trees), so as to deliver a multi-scale quantitative representation of terrestrial ecosystems.

Dr. Reet Kamal Tiwari, Assistant Professor, Department of Civil Engineering Indian Institute of Technology, Ropar, India, Talked about the recent advances in active sensing technology have rendered new remote platforms that can provide higher signal penetration ability against volume-scattering objects as well as backscattering properties for illuminated object surfaces. These developments will certainly produce a series of exciting research findings and new applications for natural resource assessment in the forthcoming years. Moreover, it is currently an open research question (in both the remote sensing and forestry communities) how persistent and precise mapping of terrestrial ecosystems can be obtained in complex and dynamic environments.