Farhan Mustafa

ORCID: 0000-0002-8827-7308
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About
Contact & Profiles
Research Areas
  • Atmospheric and Environmental Gas Dynamics
  • Atmospheric chemistry and aerosols
  • Atmospheric Ozone and Climate
  • Air Quality Monitoring and Forecasting
  • Remote Sensing in Agriculture
  • Spectroscopy and Laser Applications
  • Hydrocarbon exploration and reservoir analysis
  • Irrigation Practices and Water Management
  • Research in Cotton Cultivation
  • Land Use and Ecosystem Services
  • Health, Environment, Cognitive Aging
  • Hydrology and Drought Analysis
  • Plant responses to water stress
  • Climate variability and models
  • Atmospheric aerosols and clouds
  • FinTech, Crowdfunding, Digital Finance
  • Calibration and Measurement Techniques
  • Workplace Spirituality and Leadership
  • Optical Polarization and Ellipsometry
  • Solar Radiation and Photovoltaics
  • Conservation, Biodiversity, and Resource Management
  • Remote Sensing and LiDAR Applications
  • COVID-19 impact on air quality
  • Advanced Optical Sensing Technologies
  • Rice Cultivation and Yield Improvement

University of Hong Kong
2023-2025

Hong Kong University of Science and Technology
2023-2025

Guangzhou HKUST Fok Ying Tung Research Institute
2023-2024

Nanjing University of Information Science and Technology
2020-2022

China Meteorological Administration
2020-2022

Indian Institute of Technology Roorkee
2022

Ras al-Khaimah Medical and Health Sciences University
2018

Drought is an intricate atmospheric phenomenon with the greatest impacts on food security and agriculture in South Asia. Timely appropriate forecasting of drought vital reducing its negative impacts. This study intended to explore performance evaporative stress index (ESI), vegetation health (VHI), enhanced (EVI), standardized anomaly (SAI) based satellite remote sensing data from 2002–2019 for agricultural assessment Afghanistan, Pakistan, India, Bangladesh. The spatial maps were generated...

10.3390/rs13112059 article EN cc-by Remote Sensing 2021-05-23

The substantial reliance of South Asia (SA) to rain-based agriculture makes the region susceptible food scarcity due droughts. Previously, most research on SA has emphasized meteorological aspects with little consideration agrarian drought impressions. insufficient amount in situ precipitation data across also hindered thorough investigation sector. In recent times, models, satellite remote sensing, and reanalysis products have increased data. Hence, soil moisture, precipitation, terrestrial...

10.3390/rs13163294 article EN cc-by Remote Sensing 2021-08-20

Accurate knowledge of the carbon budget on global and regional scales is critically important to design mitigation strategies aimed at stabilizing atmospheric dioxide (CO2) emissions. For a better understanding CO2 variation trends over Asia, in this study, column-averaged dry air mole fraction (XCO2) derived from National Oceanic Atmospheric Administration (NOAA) CarbonTracker (CT) was compared with that Greenhouse Gases Observing Satellite (GOSAT) September 2009 August 2019 Orbiting Carbon...

10.3390/rs12152498 article EN cc-by Remote Sensing 2020-08-04

Carbon dioxide (CO2) is the most important greenhouse gas and several satellites have been launched to monitor atmospheric CO2 at regional global scales. Evaluation of measurements obtained from these against accurate precise instruments crucial. In this work, aircraft were carried out over Qinhuangdao, China (39.9354°N, 119.6005°E), on 14, 16, 19 March 2019 validate Greenhous gases Observing SATellite (GOSAT) Orbiting Observatory 2 (OCO-2) retrievals. The airborne in situ mounted a research...

10.3390/rs13050899 article EN cc-by Remote Sensing 2021-02-27

Abstract. Atmospheric carbon dioxide (CO2) is the most significant greenhouse gas, and its concentration continuously increasing, mainly as a consequence of anthropogenic activities. Accurate quantification CO2 critical for addressing global challenge climate change designing mitigation strategies aimed at stabilizing emissions. Satellites provide effective way to monitor in atmosphere. In this study, we utilized column-averaged dry-air mole fraction CO2, i.e., XCO2 retrieved from monitoring...

10.5194/amt-14-7277-2021 article EN cc-by Atmospheric measurement techniques 2021-11-18

This study investigates spatiotemporal changes in air pollution (particulate as well gases) during the COVID-19 lockdown period over major cities of Bangladesh. The investigated aerosol optical depth (AOD) from Moderate Resolution Imaging Spectroradiometer (MODIS) onboard Terra and Aqua satellites, PM2.5 PM10 Copernicus Atmosphere Monitoring Service (CAMS), NO2 O3 TROPOMI-5P, March to June 2019–2020. Additionally, subtypes Cloud-Aerosol Lidar Infrared Pathfinder (CALIPSO) were used explore...

10.3390/rs13050877 article EN cc-by Remote Sensing 2021-02-26

Developments in mid-infrared Differential Absorption Lidar (DIAL), for gas remote sensing, have received a significant amount of research recent years. In this paper, high repetition rate tunable DIAL, mounted on mobile platform, has been built long range detection plumes. The lidar uses solid-state optical parametric oscillator laser, which can emit laser pulse with 500 Hz and between the band from 2.5 μm to 4 μm. A monitoring channel used record energy real-time correct signals....

10.3390/s20082211 article EN cc-by Sensors 2020-04-14

Estimating spatiotemporal maps of greenhouse gases (GHGs) is important for understanding climate change and developing mitigation strategies. However, current methods face challenges, including the coarse resolution numerical models, gaps in satellite data, making it essential to improve estimation GHGs. This study aims develop an advanced technique produce high-fidelity (1 km) CO2 CH4 over Arabian Peninsula, a highly vulnerable region change. Using XGBoost, columnar carbon dioxide (XCO2)...

10.1038/s41598-024-84593-9 article EN cc-by-nc-nd Scientific Reports 2025-01-04

10.1109/tgrs.2025.3556309 article EN IEEE Transactions on Geoscience and Remote Sensing 2025-01-01

In this work, we extracted the near-surface CO2 concentration from Greenhous gases Observing SATellite (GOSAT) and National Oceanic Atmospheric Administration (NOAA) CarbonTracker model datasets for a temporal period of 8 years 2010 to 2017 study spatiotemporal distribution factors affecting it over five regions Asia including Central Asia, East South Southeast West Asia. The both satellite were first validated against ground-based observations obtained World Data Center Greenhouse Gases...

10.1109/tgrs.2022.3178125 article EN IEEE Transactions on Geoscience and Remote Sensing 2022-01-01

Water scarcity constrains global cotton production. However, partial root-zone drying (PRD) and mulching can be used as good techniques to save water enhance crop production, especially in arid regions. This study aimed evaluate the effects of for conservation an environment under PRD further assess osmotic adjustment enzymatic activities sustainable The was carried out 2 years field conditions using mulches (NM = no mulch, BPM black plastic mulch at 32 kg ha-1, WSM wheat straw 3 tons CSM...

10.1007/s11356-021-15259-6 article EN cc-by Environmental Science and Pollution Research 2021-07-30

Satellites are an effective source of atmospheric carbon dioxide (CO2) monitoring; however, city-scale monitoring CO2 through space-borne observations is still a challenging task due to the trivial change in concentration compared its natural variability and background concentration. In this study, we attempted evaluate potential space-based monitor changes at city scale simple data-driven analyses. We used column-averaged dry-air mole fraction (XCO2) from Carbon Observatory 2 (OCO-2)...

10.3390/rs14225882 article EN cc-by Remote Sensing 2022-11-20

Understanding the factors controlling spatial and temporal variability of atmospheric methane concentration (XCH4) is crucial for mitigating its impacts implementing emission reduction strategies. This study comprehensively investigates XCH4 driving (environmental, meteorological, anthropogenic activity) across Iran over 20 years, from 2003 to 2022. It combines multi-source satellite observations, advanced spatiotemporal modeling techniques, correlation analysis, machine learning algorithms....

10.1016/j.envc.2024.100946 article EN cc-by Environmental Challenges 2024-04-01

Clouds play an important role in the Earth's climate system; however, various observational methods describe clouds differently, leading to cloud products being described with different characteristics, and affecting our understanding of effects. To address this problem, study integrates into transfer-learning procedure a deep learning model determined Cloud Effective Radius (CER), Optical Thickness (COT), Top Height (CTH) from Himawari-8 thermal infrared measurements. The retrieval results...

10.1109/tgrs.2023.3318374 article EN IEEE Transactions on Geoscience and Remote Sensing 2023-01-01

Abstract. Accurate monitoring of atmospheric carbon dioxide (CO2) and its distribution is great significance for studying the cycle predicting future climate change. Compared to ground observational sites, airborne observations cover a wider area simultaneously observe variety surface types, which helps with effectively CO2 sources sinks. In this work, an experiment was carried out in March 2019 over Shanhaiguan area, China (39–41∘ N, 119–121∘ E). An integrated path differential absorption...

10.5194/amt-14-6601-2021 article EN cc-by Atmospheric measurement techniques 2021-10-13

Accurate monitoring of atmospheric carbon dioxide (CO2) is great significance for studying the cycle. Compared to ground observational sites, airborne observations cover a wider area, which help in effectively distribution CO2 sources and sinks. In this study, an campaign was carried out June July 2021 measure concentration over desert site, Dunhuang, located western China. The dry-air column-averaged mole fraction (XCO2) inversion results obtained from Atmospheric Carbon Dioxide Lidar...

10.3390/rs14205224 article EN cc-by Remote Sensing 2022-10-19

Water shortage is the main limitation for agricultural production in many parts of world. Drought or unavailability water may seriously limit plant growth as well yield. A pot experiment was carried out to evaluate effects various irrigation strategies, i.e., Full (FI), deficit (DI) and partial root-zone drying (PRD) on physiological, biochemical yield-related attributes cotton crop. Irrigation treatments started 60 days after planting lasted days. For FI DI, 100% 50% evapotranspiration (ET)...

10.1080/00103624.2021.1892720 article EN Communications in Soil Science and Plant Analysis 2021-03-19

Zika virus (ZIKV) disease has become a major public health concern. Although there are no reported cases of ZIKV in the United Arab Emirates (UAE), is potential risk transmission due to large expatriate population and high influx international travelers. This cross-sectional study was conducted assess knowledge among students medical sciences university UAE. Their assessed using specially designed, pretested, validated questionnaire. Of 500 respondents included final analysis, 314 (62.8%)...

10.4103/japtr.japtr_239_17 article EN cc-by-nc-sa Journal of Advanced Pharmaceutical Technology amp Research 2018-01-01

Freshwater resources are severely declining due to climate change. However, the use of water saving strategies is a prime objective this century. Many techniques have been developed cope core issue. Among them, Partial rhizosphere drying (PRD) being one effective approaches plays major role reduce harmful effects deficit stress. In PRD, divided in two equal halves, each portion irrigated alternate scheduling save 50% water. This study was designed evaluate performance five cotton varieties...

10.1080/00103624.2022.2070633 article EN Communications in Soil Science and Plant Analysis 2022-04-26
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