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Publications Citing SeaWiFS Data
Browse a list of academic papers that cite data provided by NASA’s Sea-viewing Wide Field of View Sensor (SeaWiFS).
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| Title | Year Sort ascending | Author | Topic | Dataset |
|---|---|---|---|---|
| Air quality impacts of crop residue burning in India and mitigation | Lan, Ruoyu, Eastham, Sebastian D., Liu, Tianjia, Norford, Leslie K., Barrett, Steven R. H. | Particulate Matter, Particulates, Habitat Conversion/Fragmentation | ||
| Assessment of temporal shifting of PM2. 5, lockdown effect, and influences of seasonal meteorological factors over the fastest-growing megacity, Dhaka | Faisal, Abdullah-Al-, Kafy, Abdulla - Al, Abdul Fattah, Md., Amir Jahir, Dewan Md., Al Rakib, Abdullah, Rahaman, Zullyadini A., Ferdousi, Jannatul, Huang, Xiao | Population Size, Particulate Matter, Particulates | ||
| Effects of PM<inf>2.5</inf> concentration on mortality in China: A study based on city-level panel data | CHEN, Man, HUANG, Baishi, LIU, Ye | Particulate Matter, Particulates, Sustainability, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | ||
| Exploring the convergence patterns of PM2. 5 in Chinese cities | Wang, Yan, Gong, Yuan, Bai, Caiquan, Yan, Hong, Yi, Xing | Particulate Matter, Particulates, Sustainability | ||
| Scale Effects and Regional Disparities of Land Use in Influencing PM<SUB>2.5</SUB> Concentrations: A Case Study in the Zhengzhou Metropolitan Area, China | Yang, Dongyang, Meng, Fei, Liu, Yong, Dong, Guanpeng, Lu, Debin | Particulate Matter, Particulates, Habitat Conversion/Fragmentation | ||
| Pollution or innovation? How enterprises react to air pollution under | Sun, Yuting, Hu, Hanhui, Jin, Gang | Particulate Matter, Particulates, Habitat Conversion/Fragmentation | ||
| Factors affecting COVID-19 outbreaks across the globe: Role of extreme climate change | Nath, Debashis, Sasikumar, Keerthi, Nath, Reshmita, Chen, Wen | Population Size, Particulate Matter, Particulates | ||
| Air pollution slows down surface warming over the Tibetan Plateau | Jia, Aolin, Liang, Shunlin, Wang, Dongdong, Jiang, Bo, Zhang, Xiaotong | Particulate Matter, Particulates | ||
| Constraining Uncertainty in Aerosol Direct Forcing | WatsonParris, D., Bellouin, N., Deaconu, L. T., Schutgens, N. A. J., Yoshioka, M., Regayre, L. A., Pringle, K. J., Johnson, J. S., Smith, C. J., Carslaw, K. S., Stier, P. | Aerosol Optical Depth/Thickness, Angstrom Exponent, Optical Depth/Thickness | ||
| Merging regional and global aerosol optical depth records from major available satellite products | Sogacheva, Larisa, Popp, Thomas, Sayer, Andrew M., Dubovik, Oleg, Garay, Michael J., Heckel, Andreas, Hsu, N. Christina, Jethva, Hiren, Kahn, Ralph A., Kolmonen, Pekka, Kosmale, Miriam, de Leeuw, Gerrit, Levy, Robert C., Litvinov, Pavel, Lyapustin, Alexei, North, Peter, Torres, Omar, Arola, Antti | Aerosol Extinction, Aerosol Optical Depth/Thickness, Aerosol Optical Depth/Thickness, Angstrom Exponent, Optical Depth/Thickness, Aerosol Backscatter, Aerosol Extinction, Aerosol Particle Properties, Aerosol Radiance, Carbonaceous Aerosols, Cloud Condensation Nuclei, Dust/Ash/Smoke, Nitrate Particles, Organic Particles, Particulate Matter, Sulfate Particles, Trace Gases/Trace Species, Atmospheric Emitted Radiation, Emissivity, Radiative Flux, Reflectance, Transmittance, Atmospheric Stability, Humidity, Total Precipitable Water, Water Vapor Profiles, Cloud Condensation Nuclei, Cloud Droplet Concentration/Size, Cloud Liquid Water/Ice, Cloud Optical Depth/Thickness, Cloud Asymmetry, Cloud Ceiling, Cloud Frequency, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Cloud Emissivity, Cloud Radiative Forcing, Cloud Reflectance, Rain Storms, Atmospheric Ozone |
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| The impact of regional environmental amenity on skill aggregation across regions in developing countries: Evidence from air pollution in China | Chung, Seung-hun | Particulate Matter, Particulates | ||
| Bounding aerosol radiative forcing of climate change | Bellouin, N., Quaas, J., Gryspeerdt, E., Kinne, S., Stier, P., WatsonParris, D., Boucher, O., Carslaw, K. S., Christensen, M., Daniau, A.L., Dufresne, J.L., Feingold, G., Fiedler, S., Forster, P., Gettelman, A., Haywood, J. M., Lohmann, U., Malavelle, F., Mauritsen, T., McCoy, D. T., Myhre, G., Mulmenstadt, J., Neubauer, D., Possner, A., Rugenstein, M., Sato, Y., Schulz, M., Schwartz, S. E., Sourdeval, O., Storelvmo, T., Toll, V., Winker, D., Stevens, B. | Aerosol Optical Depth/Thickness, Angstrom Exponent, Optical Depth/Thickness | ||
| Performance of a simple reanalysis proxy for US cloudtoground lightning | Tippett, Michael K., Lepore, Chiara, Koshak, William J., Chronis, Themis, VantHull, Brian | Particulate Matter, Particulates | ||
| Stranded coal power assets in China: a case study of Jilin Province | Yuan, Jiahai, Guo, Xiaoxuan, Zhang, Weirong, Zhou, Jinghong, Qin, Chengju | Particulate Matter, Particulates | ||
| Characterizing and sourcing ambient PM2. 5 over key emission regions in China III: Carbon isotope based source apportionment of black carbon | Yu, Kuangyou, Xing, Zhenyu, Huang, Xiaofeng, Deng, Junjun, Andersson, August, Fang, Wenzheng, Gustafsson, Orjan, Zhou, Jiabin, Du, Ke | Particulate Matter, Particulates | ||
| City-level adult stroke prevalence in relation to remote sensing derived PM2.5 adjusting for unhealthy behaviors and medical risk factors | Hu, Z. | Particulate Matter, Particulates | ||
| NU-WRF Aerosol Transport Simulation over West Africa: Effects of Biomass Burning on Smoke Aerosol Distribution | Iguchi, Takamichi, Matsui, Toshihisa, Tao, Zhining, Kim, Dongchul, Ichoku, Charles M., Ellison, Luke, Wang, Jun | Aerosol Optical Depth/Thickness, Angstrom Exponent, Optical Depth/Thickness, AEROSOL ABSORPTION, UV Aerosol Index | ||
| What causes PM2. 5 pollution? Cross-economy empirical analysis from socioeconomic perspective | Ji, Xi, Yao, Yixin, Long, Xianling | Particulate Matter, Particulates | ||
| Valuing air quality in Indonesia using households' locational choices | Tan Soo, Jie-Sheng | Particulate Matter, Particulates | ||
| A geostatistical model for combined analysis of point-level and area-level data using INLA and SPDE | Moraga, Paula, Cramb, Susanna M., Mengersen, Kerrie L., Pagano, Marcello | Particulate Matter, Particulates | ||
| China's megaregion policy: Performance evaluation framework, empirical findings and implications for spatial polycentric governance | Su, Shiliang, Liu, Zebin, Xu, Yifan, Li, Jing, Pi, Jianhua, Weng, Min | Particulate Matter, Particulates | ||
| Global population exposed to fine particulate pollution by population increase and pollution expansion | Han, Lijian, Zhou, Weiqi, Li, Weifeng, Qian, Yuguo | Population Density, Population Size, Population Estimates, Particulate Matter, Particulates | ||
| The Aerosol Index and Land Cover Class Based Atmospheric Correction Aerosol Optical Depth Time Series 19822014 for the SMAC Algorithm | Jaaskelainen, Emmihenna, Manninen, Terhikki, Tamminen, Johanna, Laine, Marko | Aerosol Extinction, Aerosol Optical Depth/Thickness, Aerosol Optical Depth/Thickness, Angstrom Exponent, Optical Depth/Thickness, Aerosol Particle Properties, Turbidity, Aerosols, Aerosol Extinction, Air Quality, Particulates |
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| Extreme air pollution in global megacities | Marlier, Miriam E., Jina, Amir S., Kinney, Patrick L., DeFries, Ruth S. | Particulate Matter, Particulates | ||
| Spatial analysis of hazefog pollution in China | Li, Li, Tang, Dengli, Kong, Ying, Yang, Yuanhua, Liu, Dongjun | Particulate Matter, Particulates |
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