Life on Land


Research Projects





Water, Energy, and Environment for Sustainability (IC-WEES) 2021

The International Conference on Water, Energy, and Environment for Sustainability (IC-WEES) 2021 is a flagship conference of National University of Sciences and Technology (NUST),Pakistan. Atta-ur-Rahman School of Applied Biosciences (ASAB) organized it with a priority theme “Biotechnologies for Environment, Health and Agriculture, aiming to bring diverse research groups to exchange and share their experience and provide sustainable solutions based on biotechnological approaches in the field of health, agriculture, and environment. Advances in biotechnology and its applications in environment, health and agriculture hold promises for improving human lives by providing effective diagnostics, disease prevention and treatment measures, enhancing crop productivity, nutritional value and protecting the environment through bioremediation, waste management and resource recovery.

Birdify - Environmental Project for the Protection of Birds in Urban Areas

Nustians provide better shelter facilities for birds in urban areas as their population is decreasing rapidly. Birds play an important role in life’s food-chain around us. Their presence is beneficial in many ways, both psychologically as well as physically. Different birds’ nests were planted on trees and walls in schools and madrassas, and sessions were also held with kids to spread awareness. Due to the pandemic, team members performed this activity in their hometown.

Forest Monitoring and Change Detection Using Remote Sensing Data

Detecting forest changes is very important for sustainable forest management. Changes in the forest area due to deforestation (such as forest fires or logging due to development activities) or afforestation, change the total forest area. In addition, this affects commercially available stocks climate change due to carbon emissions,  and biodiversity estimates of forest habitats, which are important for the management of forests’ disaster and policy making. The manual processing steps are fragile and error-prone and can produce incorrect segmentation results (i.e., under and over). Unlike traditional methods, in this project NUST researchers developed an end-to-end framework for estimating and analysing forest variability. In this case study, forest cover 15 districts of Pakistan and forest change maps spanning 2014 to 2020 are estimated where the main afforestation  activities were carried out during this period. The critical analysis showed improved forest cover in 14 of the 15 districts