Results 161 to 170 of about 4,017 (177)

Validation of Multiple Satellite Aerosol Optical Depth (AOD) Retrievals Using Ground-Based AERONET AOD Data over West Africa

Aerosol Optical Depth (AOD) is an essential parameter for understanding atmospheric aerosol distribution and its impact on climate and air quality. Satellite-based AOD retrievals play a crucial role in large-scale studies, but their accuracy necessitates validation against ground-based measurements.
Muawiya Sani, Rabia Salihu Said, Tijjani Bello Idrith, Sunusi Usman Yerima   +3 more
openaire   +1 more source

Seasonal variations for combined effects of landscape metrics on land surface temperature (LST) and aerosol optical depth (AOD)

Ecological Indicators, 2022
Mingjun Teng, Zhixiang Zhou
exaly  

Empirical Correlation Weighting (ECW) Spatial Interpolation Method for Satellite Aerosol Optical Depth Products by MODIS AOD over Northern China in 2016

Remote Sensing, 2023
Yang Wang, Pei Zhou, Meng Fan
exaly  

Meteorological and anthropogenic contributions to changes in the Aerosol Optical Depth (AOD) over China during the last decade

Atmospheric Environment, 2023
Gerrit De Leeuw, Hanqing Kang, Cheng Fan   +2 more
exaly  

Reconstructing MODIS aerosol optical depth and exploring dynamic and influential factors of AOD via random forest at the global scale

Atmospheric Environment, 2023
Xiaowei Zhu, Wencai Zhang, Dingming Zhang   +2 more
exaly  

Aerosol optical depth (AOD) and Ångström exponent of aerosols observed by the Chinese Sun Hazemeter Network from August 2004 to September 2005

Journal of Geophysical Research, 2007
Jinyuan Xin, Yuesi Wang, Zhanqing Li
exaly  

Exploring the spatial-temporal characteristics of the aerosol optical depth (AOD) in Central Asia based on the moderate resolution imaging spectroradiometer (MODIS)

Environmental Monitoring and Assessment, 2020
Shengtian Yang, Yang Shengtian, Xia Nan   +2 more
exaly  

To Detect Aerosols Optical Depth (AOD) Local Hotspot Region: Spatiotemporal Characteristics over Indian Regions

Aerosol Science and Engineering, 2023
Ranjitkumar Solanki, K. N. Pathak
openaire   +1 more source

Himawari-8 Aerosol Optical Depth (AOD) Retrieval Using a Deep Neural Network Trained Using AERONET Observations

Remote Sensing, 2020
Lu She, Hankui K Zhang, Zhengqiang Li
exaly  

Spatiotemporal fusion of multiple‐satellite aerosol optical depth (AOD) products using Bayesian maximum entropy method

Journal of Geophysical Research D: Atmospheres, 2016
Qingxin Tang, Yanchen Bo
exaly