6 citations · 8 across the 12 of their papers we have counts for
12 papers
Detecting Brick Kiln Infrastructure at Scale: Graph, Foundation, and Remote Sensing Models for Satellite Imagery Data
Usman Nazir, Xidong Chen, Hafiz Muhammad Abubakar +5
Brick kilns are a major source of air pollution and forced labor in South Asia, yet large-scale monitoring remains limited by sparse and outdated ground data. We study brick kiln d…
2022 Flood Impact in Pakistan: Remote Sensing Assessment of Agricultural and Urban Damage
Aqs Younas, Arbaz Khan, Hafiz Muhammad Abubakar +4
Pakistan was hit by the world's deadliest flood in June 2022, causing agriculture and infrastructure damage across the country. Remote sensing technology offers a cost-effective an…
Data-Driven Approach to assess and identify gaps in healthcare set up in South Asia
Rusham Elahi, Zia Tahseen, Tehreem Fatima +6
Primary healthcare is a crucial strategy for achieving universal health coverage. South Asian countries are working to improve their primary healthcare system through their country…
Mending of Spatio-Temporal Dependencies in Block Adjacency Matrix
Osama Ahmad, Omer Abdul Jalil, Usman Nazir +1
In the realm of applications where data dynamically evolves across spatial and temporal dimensions, Graph Neural Networks (GNNs) are often complemented by sequence modeling archite…
Improved flood mapping for efficient policy design by fusion of Sentinel-1, Sentinel-2, and Landsat-9 imagery to identify population and infrastructure exposed to floods
Usman Nazir, Muhammad Ahmad Waseem, Falak Sher Khan +4
A reliable yet inexpensive tool for the estimation of flood water spread is conducive for efficient disaster management. The application of optical and SAR imagery in tandem provid…
Feature Selection on Sentinel-2 Multi-spectral Imagery for Efficient Tree Cover Estimation
Usman Nazir, Momin Uppal, Muhammad Tahir +1
This paper proposes a multi-spectral random forest classifier with suitable feature selection and masking for tree cover estimation in urban areas. The key feature of the proposed…
Analyzing the Knock-on Impacts of 2022 Floods on Rabi 2023 Using Remote Sensing and Field Surveys
Mohammad Sohail, Usman Nazir, Jawairia Ahmad +3
While the world's attention is focused on immediate relief and rescue operations for the affectees of the current floods in Pakistan, knock-on effects are expected to play further…
Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA) for Remote Land-use Change Detection
Usman Nazir, Wadood Islam, Sara Khalid +1
Land-use monitoring is fundamental for spatial planning, particularly in view of compound impacts of growing global populations and climate change. Despite existing applications of…
Mitigating climate and health impact of small-scale kiln industry using multi-spectral classifier and deep learning
Usman Nazir, Murtaza Taj, Momin Uppal +1
Industrial air pollution has a direct health impact and is a major contributor to climate change. Small scale industries particularly bull-trench brick kilns are one of the key sou…
Detection of Illegal Kiln Activity During SMOG Period
Usman Nazir, Muhammad Awais Ather, Murtaza Taj
Brick Kilns are known to be a leading cause of air pollution. The toxins and gaseous emissions from brick kilns leads to SMOG. It is a mixture of invisible toxic gases such as carb…
Survey of Image Based Graph Neural Networks
Usman Nazir, He Wang, Murtaza Taj
In this survey paper, we analyze image based graph neural networks and propose a three-step classification approach. We first convert the image into superpixels using the Quickshif…
Tiny-Inception-ResNet-v2: Using Deep Learning for Eliminating Bonded Labors of Brick Kilns in South Asia
Usman Nazir, Numan Khurshid, Muhammad Ahmed Bhimra +1
This paper proposes to employ a Inception-ResNet inspired deep learning architecture called Tiny-Inception-ResNet-v2 to eliminate bonded labor by identifying brick kilns within "Br…