Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Luqman Atique"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 5203-5213 (2022)
Earth's energy budget is a major force that drives global climate. The long-term pattern of land surface energy budget with pronounced biophysical effects on climate was normally ignored at a regional scale, particularly in Pakistan. In this article,
Externí odkaz:
https://doaj.org/article/61422607c1904557898b068974d8fa73
Autor:
Bo Su, Dongyu Wu, Miao Zhang, Muhammad Bilal, Yuying Li, Bai-Lian Li, Luqman Atique, Ziyue Zhang, Fares M. Howari
Publikováno v:
Atmosphere, Vol 12, Iss 2, p 225 (2021)
The spatio-temporal characteristics of particulate matter with a particle size less than or equal to 2.5 μm (PM2.5), particulate matter with a particle size less than or equal to 10 μm (PM10), meteorological parameters from September 2018 to Septem
Externí odkaz:
https://doaj.org/article/734c9dde3e734b3186ea71f7ab645490
Autor:
Miao Zhang, Bo Su, Muhammad Bilal, Luqman Atique, Muhammad Usman, Zhongfeng Qiu, Md. Arfan Ali, Ge Han
Publikováno v:
Remote Sensing, Vol 12, Iss 14, p 2183 (2020)
The vertically distributed aerosol optical properties are investigated over Pakistan utilizing the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Level 2 products from 2007 to 2014. For a better understanding of the spati
Externí odkaz:
https://doaj.org/article/88041e2dfd4b4cbfb0dddf5c2734a54a
Autor:
Bo Su, Hao Li, Miao Zhang, Muhammad Bilal, Minxia Wang, Luqman Atique, Ziyue Zhang, Chun Zhang, Ge Han, Zhongfeng Qiu, Md. Arfan Ali
Publikováno v:
Atmosphere, Vol 11, Iss 5, p 501 (2020)
The optical and physical characteristics of the aerosol vertical layers over Northeastern China (NEC) are investigated using the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Level 2 layer products from 2007 to 2014. To
Externí odkaz:
https://doaj.org/article/f7834f50ae2847149ecdd602db05b37a
Autor:
Miao Zhang, Jing Liu, Muhammad Bilal, Chun Zhang, Majid Nazeer, Luqman Atique, Ge Han, Wei Gong
Publikováno v:
Atmosphere, Vol 11, Iss 4, p 322 (2020)
Haze is an atmospheric phenomenon in which different types of particulates obscure the sky, and hence affect almost all human activities. Over a couple of recent decades, China has witnessed increasingly worse air quality as well as atmospheric hazin
Externí odkaz:
https://doaj.org/article/9f55daf2a84546659b03db6f8912f7c5
Autor:
Muhammad Bilal, Majid Nazeer, Janet E. Nichol, Max P. Bleiweiss, Zhongfeng Qiu, Evelyn Jäkel, James R. Campbell, Luqman Atique, Xiaolan Huang, Simone Lolli
Publikováno v:
Remote Sensing, Vol 11, Iss 11, p 1344 (2019)
Surface reflectance (SR) estimation is the most critical preprocessing step for deriving geophysical parameters in multi-sensor remote sensing. Most state-of-the-art SR estimation methods, such as the vector version of the Second Simulation of the Sa
Externí odkaz:
https://doaj.org/article/6e13d8ccc50e48728bb68e608212d5f6
Autor:
Abdul MALIK, Georgiy Stenchikov, Suleiman Mostamandi, Sagar Parajuli, Jos Lelieveld, George Zittis, Muhammad Sheraz Ahsan, Luqman Atique, Muhammad Usman
Publikováno v:
ESS Open Archive
The global average temperature has increased significantly since the preindustrial era. Translating global warming into regional scales is crucial to formulate effective environmental and climate policies. A realistic assessment of regional climate c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9417a2fdff424e97e4062e30577e3422
https://hdl.handle.net/21.11116/0000-000D-3941-A
https://hdl.handle.net/21.11116/0000-000D-3941-A
Autor:
Luqman Atique, Usman Mazhar, Alaa Mhawish, Muhammad Bilal, Max Bleiweiss, Md. Arfan Ali, Zhongfeng Qiu, Yuan Shi, Yang Chen, Janet Elizabeth Nichol, Gerrit de Leeuw, Lunche Wang, Robert C. Levy, Majid Nazeer, Song Ke, Yu Wang
Publikováno v:
REMOTE SENSING OF ENVIRONMENT
Pakistan ranks third in the world in terms of mortality attributable to air pollution, with aerosol mass concentrations (PM2.5) consistently well above WHO (World Health Organization) air quality guidelines (AQG). However, regulation is dependent on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e26a69bea37eccaccd9a0b47f6cba0f
http://sro.sussex.ac.uk/id/eprint/100806/4/RSE-D-20-01489R2_TC_JN.pdf
http://sro.sussex.ac.uk/id/eprint/100806/4/RSE-D-20-01489R2_TC_JN.pdf
Autor:
Chun Zhang, Luqman Atique, Ge Han, Muhammad Bilal, Wei Gong, Majid Nazeer, Miao Zhang, Jing Liu
Publikováno v:
Atmosphere
Volume 11
Issue 4
Atmosphere, Vol 11, Iss 322, p 322 (2020)
Volume 11
Issue 4
Atmosphere, Vol 11, Iss 322, p 322 (2020)
Haze is an atmospheric phenomenon in which different types of particulates obscure the sky, and hence affect almost all human activities. Over a couple of recent decades, China has witnessed increasingly worse air quality as well as atmospheric hazin
Autor:
Max Bleiweiss, Luqman Atique, Muhammad Bilal, Janet Elizabeth Nichol, Xiaolan Huang, Simone Lolli, Majid Nazeer, James R. Campbell, Zhongfeng Qiu, Evelyn Jäkel
Publikováno v:
Remote Sensing, Vol 11, Iss 11, p 1344 (2019)
Remote sensing (Basel) 11 (2019): Art.1344-1–Art.1344-24. doi:10.3390/rs11111344
info:cnr-pdr/source/autori:Bilal, Muhammad; Nazeer, Majid; Nichol, Janet E.; Bleiweiss, Max P.; Qiu, Zhongfeng; Jäkel, Evelyn; Campbell, James R.; Atique, Luqman; Huang, Xiaolan; Lolli, Simone/titolo:A simplified and robust surface reflectance estimation method (SREM) for use over diverse land surfaces using multi-sensor data/doi:10.3390%2Frs11111344/rivista:Remote sensing (Basel)/anno:2019/pagina_da:Art.1344-1/pagina_a:Art.1344-24/intervallo_pagine:Art.1344-1–Art.1344-24/volume:11
Remote Sensing; Volume 11; Issue 11; Pages: 1344
Remote sensing (Basel) 11 (2019): Art.1344-1–Art.1344-24. doi:10.3390/rs11111344
info:cnr-pdr/source/autori:Bilal, Muhammad; Nazeer, Majid; Nichol, Janet E.; Bleiweiss, Max P.; Qiu, Zhongfeng; Jäkel, Evelyn; Campbell, James R.; Atique, Luqman; Huang, Xiaolan; Lolli, Simone/titolo:A simplified and robust surface reflectance estimation method (SREM) for use over diverse land surfaces using multi-sensor data/doi:10.3390%2Frs11111344/rivista:Remote sensing (Basel)/anno:2019/pagina_da:Art.1344-1/pagina_a:Art.1344-24/intervallo_pagine:Art.1344-1–Art.1344-24/volume:11
Remote Sensing; Volume 11; Issue 11; Pages: 1344
Surface reflectance (SR) estimation is the most critical preprocessing step for deriving geophysical parameters in multi-sensor remote sensing. Most state-of-the-art SR estimation methods, such as the vector version of the Second Simulation of the Sa