6 citations · 8 across the 12 of their papers we have counts for
6 papers · 1 filter
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major source of air pollution and forced labor in South Asia, yet large-scale monitoring remains limited by sparse and outdated ground data.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…
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…
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…
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…