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的个人主页 http://shi.buaa.edu.cn/FAISALMUMTAZ/zh_CN/index.htm
Dr. Faisal Mumtaz is a researcher in Environmental Monitoring at Regional Center for Space Science and Technology Education in Asia and the Pacific (RCSSTEAP), affiliated to United Nations. He received his PhD in Cartography and GIS from the Aerospace Information Research Institute, Chinese Academy of Sciences (AIR-CAS). Dr. Mumtaz serves as Project Coordinator for Asia-Oceania ecosystem monitoring initiative under China’s National Key Research and Development Program, and he holds coordination and leadership roles in international Earth observation cooperations, including AOGEO and GEO.
His research focuses on vegetation remote sensing and geospatial analytics for Earth system and human–environment studies. He integrates multiple data streams, including ground observations, reanalysis products, and remote-sensing datasets, to quantify and interpret vegetation dynamics and phenology, ecosystem quality, urban thermal environmental effects, and human settlement change. His broader work spans spatiotemporal analysis and scenario-based modeling of land-use and land-cover transitions, biomass- and carbon-related processes, and environmental change attribution, with an emphasis on interacting drivers such as urbanization, agricultural expansion, and climate variability.
Dr. Mumtaz has published more than 70 SCI-indexed papers in well-regarded international journals and has completed over 300 peer reviews for a wide range of SCI journals. He contributes extensively to scholarly publishing and editorial service as an Associate Editor for npj Heritage Science, npj Thermal Science and Engineering, and Frontiers in Sustainable Cities, and as an Editorial Board Member for Discover Sustainability, Discover Cities, Discover Forests, and Scientific Reports. He also serves in editorial and reviewer roles for leading publishers, including Elsevier and Springer Nature.
Research Interests:
Vegetation remote sensing and phenology; Ecosystem quality assessment and sustainability; Spatio-temporal geospatial analysis and Earth system modeling.
Mumtaz, F., Li, J., Liu, Q., Dong, Y., Liu, C., Gu, C., . . . Li, G. (2025). A comprehensive framework for evaluating ecosystem quality changes and human activity contributions in Inner Mongolia and Xinjiang, China. Land Use Policy, 151, 107494. doi: https://doi.org/10.1016/j.landusepol.2025.107494
Mumtaz, F., Li, J., Liu, Q., et al. (2023). Spatio-temporal dynamics of land use transitions associated with human activities over Eurasian Steppe: Evidence from improved residual Analysis. Science of the Total Environment, 905, 166940. DOI: https://doi.org/10.1016/j.scitotenv.2023.166940
Mumtaz, F.; Li, J.; Liu, Q.; Tariq, A.; Arshad, A.; Dong, Y.; Zhao, J.; Bashir, B.; Zhang, H.; Gu, C.; Liu, C. (2023). Impacts of Green Fraction Changes on Surface Temperature and Carbon Emissions: Comparison under Forestation and Urbanization Reshaping Scenarios. Remote Sensing, 15, 859. DOI: https://doi.org/10.3390/rs15030859
Mumtaz, F., Arshad, A., Mirchi, A., Aqil, T., Dakang, W., & Tao Y (2021). Impacts of Reduced Deposition of Atmospheric Nitrogen on Coastal Marine Ecosystem During Substantial Shift in Human Activities in the 21st Century. Geomatics Natural Hazards & Risk, 12(1), 2023-2047. Doi: 10.1080/19475705.2021.1949396
Mumtaz, F., Tao, Y., de Leeuw, G., Zhao, L., Fan, C., Elnashar, A., Naeem, S. (2020). Modeling Spatio-temporal Land Transformation and Its Associated Impacts on land Surface Temperature (LST). Remote Sensing, 12(18), 2987. Doi: 10.3390/rs12182987
Mumtaz, F* et al (2022).
Integrated Influencing Mechanism of Potential Drivers on Seasonal Variability of LST in Kolkata Municipal Corporation, India. Land, 11, 1461. DOI: https://doi.org/10.3390/land11091461
Mumtaz, F* et al (2024). Satellite-based rainwater harvesting sites assessment for Dera Ghazi Khan, Punjab, Pakistan. Environmental Science and Pollution Research DOI : 10.1007/s11356-024-34195-9
Mumtaz, F* et al (2025). Urban heat island dynamics in Rawalpindi: a 30-year remote sensing analysis and future projections. Scientific Reports, 15(1), 32760. DOI: https://doi.org/10.1038/s41598-025-13844-0
Mumtaz, F., Tao, Y., Bashir, W. A., Kareem, M., Gengke, W., Li, L., & Bashir, B. (2020). Transition of LULC and future predictions by using CA-Markov Chain Model (A case study of metropolitan city Lahore, Pakistan). Earth Sciences Malaysia, 4(2), 141-146. Doi: 10.26480/esmy.02.2020.141.146
Mumtaz, F., Tao, Y., Bashir, B., Ahmad, A., Li, L., & Hassan, U. H. (2020). The relationship between vegetation dynamics and land surface temperature by using different satellite imageries; A Case study of Metropolitan cities of Pakistan. North American Academic Research, 3, 1-15. Doi: 10.5281/zenodo.3923796
Mumtaz, F., Tao, Y., Bashir, B., Faiz H., Kareem M., Ahmad, A & Hassan, U. H. (2020). The Impact of the lockdown on air quality in result of COVID-19 pandemic over Hubei Province, China. Environment & Ecosystem Science, 2021. 05(01): p. 15-22. DOI: 10.26480/ees.01.2021.15.22
Gu, C., J. Li, Q. Liu, H. Zhang, A. Huete, H. Fang, L. Liu, F. Mumtaz, S. Lin, X. Wang, Y. Dong, J. Zhao, J. Bai, W. Yu, C. Liu and L. Guan (2025). "Deriving leaf-scale chlorophyll index (CIleaf) from canopy reflectance by correcting for the canopy multiple scattering based on spectral invariant theory."
Remote Sensing of Environment 322: 114692. DOI: https://doi.org/10.1016/j.rse.2025.114692
Bashir, B., Liang, D., Cai, R., Mumtaz, F., Kong, L., & Zou, Y. (2025). Spectral properties and remote sensing of snow algal blooms in the Antarctic Peninsula. Remote Sensing of Environment, 328, 114839. doi: https://doi.org/10.1016/j.rse.2025.114839
Zhang, H., Li, J., Gu, C., Guan, L., Wang, X., Mumtaz, F., . . . Yu, W. (2025). A high-resolution global leaf chlorophyll content product using the Sentinel-2 data. Scientific Data, 12(1), 1997. doi: 10.1038/s41597-025-05831-x
Liu C, Li J, Liu Q, Gao J, Mumtaz F, Dong Y, et al. (2023).Combined influence of ENSO and North Atlantic Oscillation (NAO) on Eurasian Steppe during 1982–2018. Science of the Total Environment 2023: 164735. Doi: 10.1016/j.scitotenv.2023.164735
Zhang, H., Li, J., Liu, Q., Lin, S., Huete, A., Liu, L., Croft, H., Clevers, J. G. P., Zeng, Y.,Wang, X., Gu, C., Zhang, Z., Zhao, J., Dong, Y., Mumtaz, F., & Yu, W. (2022). A novel red-edge spectral index for retrieving the leaf chlorophyll content. Methods in Ecology and Evolution, 00, 1–17. DOI: https://doi.org/10.1111/2041-210X.13994
Gu, C., J. Li, Q. Liu, H. Zhang, L. Liu, F. Mumtaz, Y. Dong, J. Zhao, X. Wang and C. Liu (2023). "Retrieving decametric-resolution leaf chlorophyll content from GF-6 WFV by assessing the applicability of red-edge vegetation indices." Computers and Electronics in Agriculture 215: 108455. DOI: https://doi.org/10.1016/j.compag.2023.108455
Huang, Y., Long, H., Jiang, Y., Feng, D., Ma, Z., & Mumtaz, F. (2024). Motivating factors of farmers' adaptation behaviors to climate change in China: A meta-analysis. Journal of Environmental Management, 359, 121105. https://doi.org/10.1016/j.jenvman.2024.121105
Wang, X., Li, J., Zhang, H., Liu, Q., Liu, L., Gu, C., Mumtaz, F., Zhao, J., Dong, Y., Bai, J., Chu, T., Liu, C., Guan, L., & Huang, W. (2024). Intercomparison and validation of five existing leaf chlorophyll content products over China. International Journal of Applied Earth Observation and Geoinformation, 130, 103930. doi: https://doi.org/10.1016/j.jag.2024.103930
Li, J., Zhang, H., López-Lozano, R., Weiss, M., Gu, C., Mumtaz, F., . . . Liu, X. (2025). Can 3D model improve the accuracy of leaf chlorophyll content estimation using UAV and sentinel-2 data? International Journal of Applied Earth Observation and Geoinformation, 143, 104810. DOI: https://doi.org/10.1016/j.jag.2025.104810
Bashir, B., Cai, R., Wang, S., Liang, D., Cao, C., Xu, M., Mumtaz, F.,. . . Ali, I. (2025). Understanding Vegetation Greening in the Mu Us and Thar Deserts: The Role of Climate Change and Human Interventions. Earth Systems and Environment. doi: 10.1007/s41748-025-00821-w
Naeem, M., Zhang, Y., Tian, X., Miao, P., Li, C., Mumtaz, F., . . . He, S. (2025). Assessing and predicting Bojiang lake area and LULC changes from 2000 to 2045.
Journal of Hydrology: Regional Studies, 58, 102216. doi: https://doi.org/10.1016/j.ejrh.2025.102216
Hussain, S., M. Mubeen, W. Nasim, F. Mumtaz, H. G. Abdo, R. Mostafazadeh and S. Fahad (2024). "Assessment of future prediction of urban growth and climate change in district Multan, Pakistan using CA-Markov method." Urban Climate 53: 101766. DOI: https://doi.org/10.1016/j.uclim.2023.101766
Chu, T.; Li, J.; Zhao, J.; Gu, C.; Mumtaz, F.; Dong, Y.; Zhang, H.; Liu, Q. Regional Analysis of Dominant Factors Influencing Leaf Chlorophyll Content in Complex Terrain Regions Using a Geographic Statistical Model. Remote Sensing. 2024, 16, 479. https://doi.org/10.3390/rs16030479
Tariq, A., Yan, J., Alexandre S,G., Khan, M.R., & Mumtaz, F,. (2022): Mapping of cropland, cropping patterns and crop types by combining optical remote sensing images with decision tree classifier and random forest, Geo-spatial Information Science, DOI: https://doi.org/10.1080/10095020.2022.2100287
Bashir, B., Cao, C., Naeem, S., Zamani Joharestani, M., Bo, X., Afzal, H., Mumtaz, F. (2020). Spatio-Temporal Vegetation Dynamic and Persistence under Climatic and Anthropogenic Factors. Remote Sensing 12(16), 2612. Doi: 10.3390/ rs12162612
Wang, D., Yu, T., Liu, Y., Gu, X., Mi, X., Shi, S., Ma, M., Chen, X., Zhang, Y., Liu, Q., Mumtaz, F., Zhan, Y. (2021). Estimating Daily Actual Evapotranspiration at a Landsat-Like Scale Utilizing Simulated and Remote Sensing Surface Temperature. Remote Sensing. 2021, 13, 225. Doi: 10.3390/ rs13020225
Tariq, A., Shu, H., Gagnon, AS., Li, Q., Mumtaz, F., Hysa, A., Siddique, MA. Munir, A., (2021). Assessing Burned Areas in Wildfires and Prescribed Fires with Spectral Indices and SAR Images in the Margalla Hills of Pakistan. Forests. Doi: 10.3390/f12101371
Ahmad A, SR Ahmad, G Hammad, T Aqil, Na Zhao*, Aslam RW and Mumtaz F. (2021). A Synthesis of Spatial Forest Assessment Studies Using Remote Sensing Data and Techniques in Pakistan. Forests, 2021. 12(9): p. 1211. Doi: 10.3390/f12091211
Chen, X.; Gu, X.; Zhan, Y.; Wang, D.; Zhang, Y.; Mumtaz, F.; Shi, S.; Liu, Q. (2022). The Impact of Central Heating on the Urban Thermal Environment Based on Multi- Temporal Remote Sensing Images. Remote Sensing, 14, 2327. DOI: https://doi.org/10.3390/rs14102327
Bashir, B.; Cao, C.; Xie, B.; Chen, Y.; Huang, Z.; Lin, X.; Gul, H.N.; Mumtaz, F.; Duerler, R.S.; Ahmad, A.; Hassan, T. (2022). Unfolding the Success of Positive Human Interventions in Combating Land Degradation. Forests, 13, 818. DOI: https://doi.org/10.3390/f13060818
Ahmad, N.; Ullah, S.; Zhao, N.; Mumtaz, F.; Ali, A.; Ali, A.; Tariq, A.; Kareem, M.; Imran, A.B.; Khan, I.A.; Shakir, M. (2023). Comparative Analysis of Remote Sensing and Geo- Statistical Techniques to Quantify Forest Biomass. Forests, 14, 379. DOI: https://doi.org/10.3390/f14020379
Liu, C.; Li, J.; Liu, Q.; Xu, B.; Dong, Y.; Zhao, J.; Mumtaz, F.; Gu, C.; Zhang, H. (2023). Global Comparison of Leaf Area Index Products over Water-Vegetation Mixed Heterogeneous Surface Network (HESNet-WV). Remote Sensing, 15, 1337. DOI: https://doi.org/10.3390/rs15051337
Li, L., Yu, T., Zhao, L., Zhan, Y., Zheng, F., Mumtaz, F. . . . Wang, C. (2019). Characteristics and trend analysis of the relationship between land surface temperature and nighttime light intensity levels over China. Infrared Physics & Technology, 97, 381-390. Doi: 10.1016/j.infrared.2019.01.018
Chen, X., Gu, X., Liu, P., Wang, D., Mumtaz, F., Shi, S., . . . Zhan, Y. (2022). Impacts of inter-annual cropland changes on land surface temperature based on multi-temporal thermal infrared images. Infrared Physics & Technology, 122, 104081. DOI: 10.1016/j.infrared.2022.104081
Tariq, A., Mumtaz, F., Zeng, X., Baloch, M. Y. J., & Moazzam, M. F. U. (2022). Spatio- temporal variation of seasonal heat islands mapping of Pakistan during 2000–2019, using day-time and night-time land surface temperatures MODIS and meteorological stations data. Remote Sensing Applications: Society and Environment, 100779. DOI: https://doi.org/10.1016/j.rsase.2022.100779
Tariq, A., J. Yan, and F. Mumtaz (2022). Land change modeler and CA-Markov chain analysis for land use land cover change using satellite data of Peshawar, Pakistan. Physics and Chemistry of the Earth, Parts A/B/C,. 128: p. 103286. DOI: https://doi.org/10.1016/j.pce.2022.103286
Tariq, A., Mumtaz, F., Majeed, M., & Zeng, X. (2022). Spatio-temporal assessment of land use land cover based on trajectories and cellular automata Markov modelling and its impact on land surface temperature of Lahore district Pakistan. Environmental Monitoring and Assessment, 195, 114. DOI: https://doi.org/10.1007/s10661-022-10738-w
Tariq, A., & Mumtaz, F. (2023). Modeling spatio-temporal assessment of land use land cover of Lahore and its impact on land surface temperature using multi-spectral remote sensing data. Environmental Science and Pollution Research, 30, 23908-23924 DOI: https://doi.org/10.1007/s11356-022-23928-3
Tariq, A., & Mumtaz, F. (2023). A series of spatio-temporal analyses and predicting modeling of land use and land cover changes using an integrated Markov chain and cellular automata models. Environmental Science and Pollution Research DOI: https://doi.org/10.1007/s11356-023-25722-1
Shah, A., Yan, J., Ullah, I., Aslam, B., Tariq, A., Zhang, Lili and Mumtaz, F. (2021). Classification of Aquifer Vulnerability by Using the DRASTIC Index and Geo-Electrical Techniques. Water, 13(16), 2144. Doi: 10.3390/w13162144
Hu, P., Sharifi, A., Tahir, M. N., Tariq, A., Zhang, L., Mumtaz, F., et al. (2021). Evaluation of Vegetation Indices and Phenological Metrics Using Time-Series MODIS Data for Monitoring Vegetation Change in Punjab, Pakistan. Water, 13(18), 2550. Doi: 10.3390/w13182550
Majeed, M., Tariq, A., Anwar, M. M., Khan, A. M., Arshad, F., Mumtaz, F., et al. (2021). Monitoring of Land Use–Land Cover Change and Potential Causal Factors of Climate Change in Jhelum District, Punjab, Pakistan, through GIS and Multi-Temporal Satellite Data. Land, 10(10), 1026. Doi: 10.3390/land10101026
Liu, Q., Gu, X., Chen, X., Mumtaz, F., Liu, Y., Wang, C., . . . Zhan, Y. (2022). Soil Moisture Content Retrieval from Remote Sensing Data by Artificial Neural Network Based on Sample Optimization. Sensors, 22(4), 1611. DOI: 10.3390/s22041611
Iqbal, M.M.; Li, L.; Hussain, S.; Lee, J.L.; Mumtaz, F.; Elbeltagi, A.; Waqas, M.S.; Dilawar, A. (2022). Analysis of Seasonal Variations in Surface Water Quality over Wet and Dry Regions. Water, 14, 1058. DOI: https://doi.org/10.3390/w14071058
Hussain, S.; Lu, L.; Mubeen, M.; Nasim, W.; Karuppannan, S.; Fahad, S.; Tariq, A.; Mousa, B.G.; Mumtaz, F.; Aslam, M. (2022). Spatiotemporal Variation in Land Use Land Cover in the Response to Local Climate Change Using Multispectral Remote Sensing Data. Land, 11, 595. https://doi.org/10.3390/land11050595
Ahmad, ., Zhang, J., Bashir, B., Mumtaz, F et al. Exploring vegetation trends and restoration possibilities in Pakistan by using Hurst exponent. Environ Sci Pollut Res 30, 91915–91928 (2023). DOI: https://doi.org/10.1007/s11356-023-28822-0
Hussan, H. U., Li, H., Liu, Q., & Mumtaz, F. (2024). Evaluation of Billion Tree Tsunami Project and Its Impacts on Land Surface Temperature: A Satellite Data-Based Investigation. Paper presented at the IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium. DOI: https://doi.org/10.1109/IGARSS53475.2024.10640950
Shi, S., Ma, Y., Bao, F., Mumtaz, F., (2021). A Satellite Data Based Detailed Study of the Aerosol Emitted from Open Biomass Burning in Northeast China. Atmosphere. 12(12):1700. Doi: 10.3390/atmos12121700
He, D., Zhou, X., Huang, X., Zhang, W., Tian, Q., Xu, N., Xi, Y., Tian, J., Mumtaz, F., (2022) Tempo-differentially selected growth-rate model development and improved extraction of remotely sensed phenology in the Qinghai-Tibet Plateau. J. Appl. Remote Sens. 16 (1), 01850, Doi: 10.1117/1.JRS.16.018501
Hussain, S.; Qin, S.; Nasim, W.; Bukhari, M.A.; Mubeen, M.; Fahad, S.; … Tariq, A.; Mousa, B.G.; Mumtaz, F.; Aslam, M. (2022). Monitoring the Dynamic Changes in Vegetation Cover Using Spatio-Temporal Remote Sensing Data from 1984 to 2020. Atmosphere, 13, 1609. DOI: https://doi.org/10.3390/atmos13101609
Monteiro, L.d.S.; Oliveira-Júnior, J.F.d.; Ghaffar, B.; Tariq, A.; Qin, S.; Mumtaz, F.; Kuriqi, A. (2022). Rainfall in the Urban Area and Its Impact on Climatology and Population Growth. Atmosphere, 13, 1610. DOI: https://doi.org/10.3390/atmos13101610
Wang, Z., Jiang, S., Xu, S., Zhang, J., Mumtaz, F., & Zhang, M. (2024). Spatial patterns and its influencing factors on villages around the Ji-shape bend of the Yellow River. Frontiers in Environmental Science, 12. doi: 10.3389/fenvs.2024.1477693
Muhammad B, Rehman AUR, Mumtaz F, Qun Y and Zhongkui J (2024). Estimation of above-ground biomass in dry temperate forests using Sentinel-2 data and random forest: a case study of the Swat area of Pakistan. Front. Environ. Sci. 12:1448648. doi: 10.3389/fenvs.2024.1448648
Arshad MJ, Ali S, Khan SN, Arshad A, Liu J, Mumtaz F, Waqas MM, Bashir B, Arshad RH (2024). Multispectral Assessment of Net Radiations Using Comprehensive Multi- Satellite Data. Water. 2024; 16(23):3378. DOI: https://doi.org/10.3390/w16233378
Liu, Q., Du, H., Zhan, Y., & Mumtaz, F. (2025). Soil Moisture Retrieval in North America with Passive Microwave and Auxiliary Data Based on Variable Spatial Optimization. Water, 17(11), 1604. DOI: https://doi.org/10.3390/w17111604
Government College University Faisalabad  学士学位
中国科学院大学  硕士学位
中国科学院大学  博士学位
GAT CONSULTANCY (PVT) LTD, LAHORE (PAKISTAN)
ASIA-PACIFIC SPACE COOPERATION ORGANIZATION (APSCO),
Aerospace Information Research Institute, Chinese Academy of Sciences Project Coordinator for Integrated remote sensing monitoring of ecosystem On-site
Secretary of Task Group 7(TG7) Environmental Monitoring and Protection (EMP) at Asia-Oceania Group on Earth Observations (AOGEO)
Point of Contact for Global Ecosystem and Environment Observation Analysis Research Cooperation (GEOARC) at Group on Earth Observations (GEO)