Delivery of Suomi National Polar-orbiting Partnership (Suomi NPP) satellite data products will cease on November 1, 2026. Data users should transition now to alternative products from NOAA-21 and NOAA-20.
Suomi NPP data announcement
Publications Citing Aqua Data
List of peer-reviewed publications that cite using Aqua data.
Filters
| Title | Year Sort ascending | Author | Topic | Dataset |
|---|---|---|---|---|
| Multi-Index Assessment and Machine Learning Integration for Drought Monitoring Using Google Earth Engine | Duan, Xulong, Aslam, Rana Waqar, Naqvi, Syed Ali Asad, Kucher, Dmitry E., Afzal, Zohaib, Raza, Danish, Zulqarnain, Rana Muhammad, Said, Yahia | Plant Phenology, Vegetation Index | ||
| PM 2.5 reduces the daytime/nighttime urban heat island intensity over | Feng, Zihao, Wang, Xuhong, Yu, Mengqianxi, Yuan, Yimei, Li, Bingqian | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity | ||
| PM2.5 | Chen, Deliang, Wu, Jian, Kong, Shaofei, Dong, Haoyu, Jiang, Weisi, Qi, Shihua | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | ||
| Policies that improved land conditions | Land Use/Land Cover Classification | |||
| Predictability of abrupt shifts in dryland ecosystem functioning | Bernardino, Paulo N., De Keersmaecker, Wanda, Horion, Stephanie, Oehmcke, Stefan, Gieseke, Fabian, Fensholt, Rasmus, Van De Kerchove, Ruben, Lhermitte, Stef, Abel, Christin, Van Meerbeek, Koenraad, Verbesselt, Jan, Somers, Ben | Land Use/Land Cover Classification, Evapotranspiration, Latent Heat Flux | ||
| Predicting Asthma Mortality in Argentina Using Remote Sensing Data and Machine Learning: RPIC Estudiantil 2025, 17 al 19 de septiembre de 2025, San Francisco, Cordoba | Coiman, Abraham, Garcia Ferreyra, Maria Fernanda, Andreo, Veronica | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | ||
| Predicting fire risk in colombia tropical savannas: A multi-scenario | Gonzalez, Tania Marisol, Gonzalez-Trujillo, Juan David, Elizalde, Maria Meza, Armenteras, Dolors | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | ||
| Predicting photosynthesisirradiance relationships from satellite remotesensing observations | Britten, Gregory L., Jonsson, Bror, Kulk, Gemma, Bouman, Heather A., Follows, Michael J., Sathyendranath, Shubha | Photosynthetically Active Radiation, Photosynthetically Active Radiation | ||
| Predicting piezometric levels in the Araripe Sedimentary Basin, Brazil, using regression and machine learning models | Lima, Mirelle T. V., Terra, Fabricio S., Silva, Juliana P. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | ||
| Pre-Fire Vegetation Conditions and Topography Shape Burn Mosaics of | Rietze, N., Heim, R. J., Troeva, E., SchaepmanStrub, G., Assmann, J. J. | Fire Dynamics, Surface Radiative Properties, Land Surface Temperature | ||
| Pre-Season Precipitation and Temperature Have a Larger Influence on | Zhang, Yuanyuan, Wang, Qingtao, Zhang, Xueyuan, Guo, Zecheng, Guo, Xiaonan, Ma, Changhui, Wei, Baocheng, He, Lei | Land Use/Land Cover Classification | ||
| Potential causal links of long-term PM <sub>2.5</sub> components | Wu, Gonghua, Wang, Shenghao, Wu, Wenjing, Benmarhnia, Tarik, Lin, Shao, Zhang, Kai, Romeiko, Xiaobo Xue, Gu, Haogao, Qu, Yanji, Xiao, Jianpeng, Deng, Xinlei, Lin, Ziqiang, Du, Zhicheng, Zhang, Wangjian, Hao, Yuantao | Particulate Matter, Particulates, Habitat Conversion/Fragmentation | ||
| Potential for bird-insect phenological mismatch in a tri-trophic system | Belitz, Michael W., Larsen, Elise A., Hurlbert, Allen H., Di Cecco, Grace J., Neupane, Naresh, Ries, Leslie, Tingley, Morgan W., Guralnick, Robert P., Youngflesh, Casey | Land Use/Land Cover Classification | ||
| Phytoplankton size structure in a subtropical area from ocean colour and | Oliveira, Andrea de Lima, Rudorff, Natalia, Sathyendranath, Shubha, Cortivo, Fabio Dall, Rodrigues, Silvana Vianna, Sudatti, Daniela, Kampel, Milton | Sea Surface Temperature | ||
| Plant Phenology Index leveraging over conventional vegetation indices to | Marsh, Hanna, Jin, Hongxiao, Duan, Zheng, Holst, Jutta, Eklundh, Lars, Zhang, Wenxin | Land Use/Land Cover Classification | ||
| Predicting the Start of the Growing Season in Boreal Forest Under High and Low Emission Scenarios | Sun, Zhe, Zhao, Jianjun, Zhang, Hongyan, Wang, Yeqiao, Fan, LiangXian, Zhang, Zhengxiang, Guo, Xiaoyi, Ren, Zhoupeng, Xiong, Tao, Du, Wala, Wang, Meiyu, Deng, Mingyang | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI) | ||
| Prediction of aflatoxin contamination outbreaks in Texas corn using mechanistic and machine learning models | Castano-Duque, Lina, Avila, Angela, Mack, Brian M., Winzeler, H. Edwin, Blackstock, Joshua M., Lebar, Matthew D., Moore, Geromy G., Owens, Phillip Ray, Mehl, Hillary L., Su, Jianzhong, Lindsay, James, Rajasekaran, Kanniah | Reflectance, Albedo, Anisotropy | ||
| Prediction of gully erosion susceptibility through the lens of the | Han, Jeongho, Guzman, Jorge A., Chu, Maria L. | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Characteristics, Photosynthetically Active Radiation | ||
| Precipitation leads the long-term vegetation increase in the conterminous United States drylands | Chang, Yuhe, Winkler, Alexander J, Noori, Amirhossein, Knyazikhin, Yuri, Myneni, Ranga B | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Maximum/Minimum Temperature, 24 Hour Precipitation Amount, Snow Water Equivalent, Vapor Pressure, Shortwave Radiation | ||
| Precipitation-fire functional interactions control biomass stocks and | Williams, Mathew, Milodowski, David T., Smallman, T. Luke, Dexter, Kyle G., Hegerl, Gabi C., McNicol, Iain M., O'Sullivan, Michael, Roesch, Carla M., Ryan, Casey M., Sitch, Stephen, Valade, Aude | Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Primary Production, Gross Primary Production (gpp), Reflectance | ||
| Predicting suitable habitats for Asian elephant (Elephas maximus) in Tropical Asia under changing climatic scenarios | Abir, Kazi Al Muqtadir, Dey, Biplob, Redowan, Mohammad, Haque, Ashraful, Ahmed, Romel | Land Use/Land Cover Classification | ||
| Predicting the frequency of low cloud mesoscale morphologies in Southern Ocean extratropical cyclones using cloud controlling factors | Tong, Shuoyun, Wood, Robert, Yuan, Tianle | Atmospheric Ozone, Sea Level Pressure, Surface Pressure, Pressure Thickness, U/V Wind Components, U/V Wind Components, Potential Vorticity, Vertical Wind Velocity/Speed, Vertical Profiles, Upper Air Temperature, Air Temperature, Relative Humidity, Specific Humidity, Atmospheric Water Vapor, Cloud Liquid Water/Ice, Cloud Fraction, Altitude, Geopotential Height, Ozone Profiles, Surface Temperature, Skin Temperature, Atmospheric Winds, Surface Winds, Atmospheric Pressure, Total Precipitable Water, Oxygen Compounds, Boundary Layer Winds, Clouds, Deep Convective Cloud Systems |
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| Protected areas show substantial and increasing risk of wildfire globally | Resco de Dios, Victor, Cunill Camprubi, Angel, Campos-Arceiz, Ahimsa, Clarke, Hamish, He, Yingpeng, Zveushe, Obey K, Domenech, Rut, Ying, Han, Yao, Yinan | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | ||
| PSNet: A deep learning framework following hierarchical yield level | Zhong, Renhai, Xiong, Xingguo, Tian, Qiyu, Huang, Jingfeng, Zhu, Linchao, Yang, Yi, Lin, Tao | Reflectance, Anisotropy | ||
| pyVPRM: a next-generation vegetation photosynthesis and | Glauch, Theo, Marshall, Julia, Gerbig, Christoph, Botia, Santiago, Gakowski, Micha, Vardag, Sanam N., Butz, Andre | Reflectance, Photosynthesis, Primary Production, Vegetation Productivity |
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