F
Farhan Mustafa
Researcher at Nanjing University of Information Science and Technology
Publications - 16
Citations - 195
Farhan Mustafa is an academic researcher from Nanjing University of Information Science and Technology. The author has contributed to research in topics: Carbon dioxide in Earth's atmosphere & Computer science. The author has an hindex of 5, co-authored 11 publications receiving 48 citations.
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Journal ArticleDOI
Comparison of Multi-Year Reanalysis, Models, and Satellite Remote Sensing Products for Agricultural Drought Monitoring over South Asian Countries
Muhammad Shahzaman,Weijun Zhu,Irfan Ullah,Farhan Mustafa,Muhammad Bilal,Shazia Ishfaq,Shazia Nisar,Muhammad Arshad,Rashid Iqbal,Rana Waqar Aslam +9 more
TL;DR: In this paper, the relationship between soil moisture, precipitation, terrestrial water storage (TWS), and vegetation condition index (VCI) was evaluated using the annual national production of barley, maize, rice, and wheat by computing the yield anomaly index (YAI).
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Remote Sensing Indices for Spatial Monitoring of Agricultural Drought in South Asian Countries
Muhammad Shahzaman,Weijun Zhu,Muhammad Bilal,Birhanu Asmerom Habtemicheal,Farhan Mustafa,Muhammad Arshad,Irfan Ullah,Shazia Ishfaq,Rashid Iqbal +8 more
TL;DR: In this article, the authors explore the performance of the evaporative stress index (ESI), vegetation health index (VHI), enhanced vegetation index (EVI), and standardized anomaly index (SAI) based on satellite remote sensing data from 2002-2019 for agricultural drought assessment in Afghanistan, Pakistan, India, and Bangladesh.
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Multi-Year Comparison of CO2 Concentration from NOAA Carbon Tracker Reanalysis Model with Data from GOSAT and OCO-2 over Asia
Farhan Mustafa,Lingbing Bu,Qin Wang,Md. Arfan Ali,Muhammad Bilal,Muhammad Shahzaman,Zhongfeng Qiu +6 more
TL;DR: NOAA CT shows a good agreement with GOSAT and OCO-2 in terms of spatial distribution, monthly averaged time series, and seasonal climatology with small biases, suggesting that CO2 can be used from either of the datasets to understand its role in the carbon budget, climate change, and air quality at regional to global scales.
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Spatiotemporal Investigations of Multi-Sensor Air Pollution Data over Bangladesh during COVID-19 Lockdown
Zhongfeng Qiu,Md. Arfan Ali,Janet Elizabeth Nichol,Muhammad Bilal,Pravash Tiwari,Birhanu Asmerom Habtemicheal,Mansour Almazroui,Sanjit Kumar Mondal,Usman Mazhar,Yu Wang,Sajib Sarker,Farhan Mustafa,Muhammad Ashfaqur Rahman +12 more
TL;DR: In this paper, the authors investigated spatiotemporal changes in air pollution (particulate as well as gases) during the COVID-19 lockdown period over major cities of Bangladesh.
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High Repetition Rate Mid-Infrared Differential Absorption Lidar for Atmospheric Pollution Detection
TL;DR: A high repetition rate tunable mid-infrared DIAL, mounted on a mobile platform, has been built for long range remote detection of gas plumes, demonstrating that the system can be used for the real-time remote sensing of atmospheric pollution gas.