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
Access publications citing NASA Earth science data.
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| Title | Year Sort ascending | Author | Topic | Dataset |
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| Lower Atmospheric Drivers of Upper Atmospheric DaytoDay Variability Over Alaska in Arctic 20182019 Winter | Phillips, Sophie R., Bossert, Katrina, Kumari, Komal, Becker, Erich, Frissell, Nathaniel, Harvey, V. Lynn | 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 | ||
| MACH: A Multi-Attribute Catchment Hydrometeorological dataset | Sink, Katharine, Brikowski, Tom | Vegetation Index, Normalized Difference Vegetation Index (NDVI) | ||
| Machine learning assessment of aerosol and meteorological impacts on atmospheric boundary layer height in eastern China: Highlighting the role of aerosol ... | Tian, Yunhang, Wang, Yuying, Lu, Chunsong, Zhu, Bin, Yang, Yuanjian, Yan, Xing, Wang, Nan, Han, Zhanghanshu | Aerosols, Aerosol Extinction, Aerosol Optical Depth/Thickness, Angstrom Exponent, Aerosol Particle Properties, Carbonaceous Aerosols, Dust/Ash/Smoke, Organic Particles, Sulfate Particles, Sulfur Oxides, Sulfur Compounds, Sulfate, Sulfur Dioxide, Sulfur Oxides, Particulate Matter, Dimethyl Sulfide, Black Carbon, Sea Salt, PARTICULATE MATTER (PM 2.5), PARTICULATE MATTER (PM 1.0), PARTICULATE MATTER (PM 10) | ||
| Machine learning reveals hidden bias in ERA5 cloud heights over Earth's third pole | Zhao, W., Wang, Y. N., Pan, Y. B., Pan, L. J., Bi, Y. H., Wu, X., Tian, Y. F., Qiu, Y. H., Wang, T. Q., Lu, D. R. | Cloud Types, Cloud Properties, Cloud Liquid Water/Ice, Land Use/Land Cover Classification | ||
| Machine learning technique for net ecosystem exchange of carbon dioxide simulation and assessment: a regional analysis of Japanese islands | Gorbarenko, Artem, Gorbarenko, Elizaveta, Mikhailov, Dmitry, Vlasov, Alexander, Saeed, Muhammad | Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Photosynthesis, Primary Production, Vegetation Productivity |
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| Machine Learning-Based Geospatial Risk Modeling of Global Avian | Jindal, Mehak, Lim, Samsung, MacIntyre, C. Raina | Terrain Elevation, Digital Elevation/Terrain Model (DEM), Topographical Relief Maps | ||
| Macrolitter accumulation in tidal marsh wrack deposits in a large | Garces-Ordonez, Ostin, Canals, Miquel, Noyce, Genevieve L., Rovai, Andre, Collin, Rachel, Thiel, Martin | Intertidal Zone, Wetlands, Sea Level Rise, Tidal Height, Coastal Elevation | ||
| Major fires in Indonesian Borneo are possible under all ENSO phases | Lam, Timothy, Catto, Jennifer L., Kay, Gillian, Dunstone, Nick, Barciela, Rosa, Harper, Anna B. | Canopy Characteristics, Digital Elevation/Terrain Model (DEM), Lidar | ||
| Making a Dust Source Map: Can We Build, Implement, and Learn From a Reflectance Derived Sediment Supply Map in the Unified Forecast System (UFS)? | Faber, E., Baker, B., Rocha Lima, A., Schepanski, K. | Reflectance | ||
| Managed rainforests support higher carbon density and sequestration in the Congo Basin | Sagang, Le Bienfaiteur, Dalagnol, Ricardo, White, Lee, George-Chacon, Stephanie, Favrichon, Samuel, Li, Shuang, Wagner, Fabien, Liu, Zhihua, Zhang, Dafeng, Ngomanda, Alfred, Medjibe, Vincent, Sonke, Bonaventure, Barbier, Nicolas, Ordway, Elsa M., Saatchi, Sassan | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Forests, Evergreen Vegetation, Deciduous Vegetation, Shrubland/Scrub, Biomass, Grasslands, LIDAR WAVEFORM, Terrestrial Ecosystems, Plant Characteristics, Terrain Elevation | ||
| Mapping crop types in smallholder mono- and intercropping systems with multi-sensor data in regions with multiple growing cycles | Akinyemi, Felicia O., Rufin, Philippe, Ibrahim, Esther Shupel, Hostert, Patrick, Ogunsumi, Lucia O., Egbetokun, Olugbenga A., Ifejika Speranza, Chinwe | Land Use/Land Cover Classification | ||
| Mapping four decades of change: Deep learning and Google Earth Engine | Tahmi, Sadiq, Rui, Xiaoping, Guechi, Imen, Hannache, Faris, Wang, Xuege, Chebika, Housseyn | Land Use/Land Cover Classification | ||
| Key Driving Factors of Ecosystem Resilience Under Drought Stress in the Dongjiang River Basin, China | Huang, Qiang, Luo, Xiaoshan, Ouyang, Liao, Yuan, Shuyun, Li, Peng | Land Use/Land Cover Classification | ||
| L. Duncanson a,* PM Montesano b,c,A. Neuenschwander d, A. | Duncanson, L., Montesano, P.M., Neuenschwander, A., Zarringhalam, A., Thomas, N., Minor, D.M., Wulder, M.A., White, J.C., Guenther, E., Feng, T., Leitold, V., Hancock, S., Armston, J., Puliti, S., Mandel, A.I., Shah, S., Silva, C., Purslow, M., Bruening, J., Breidenbach, J., Nsset, E., Saarela, S., Hunka, N., Kellner, J.R., Healey, S.P., Schepaschenko, D., Wallerman, J., Neigh, C.S.R., Carvalhais, N., Dubayah, R. | Land Use/Land Cover Classification, Reflectance, Biomass, Terrestrial Ecosystems, LIDAR WAVEFORM, Evergreen Vegetation, Shrubland/Scrub, Grasslands, Forests, Canopy Characteristics, Deciduous Vegetation |
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| Lagged climatic drivers of spongy moth (Lymantria dispar dispar) outbreaks revealed by satellite-based defoliation mapping | Scholl, Cameron J., Goodale, Christine L., Xu, Xiangtao | Maximum/Minimum Temperature, Precipitation Amount, Snow Water Equivalent, Vapor Pressure, Shortwave Radiation | ||
| Land Surface Temperature Shows Negligible Difference Between Inside and | Duan, Chunhui, Han, Cunbo, Hu, Wei, Liu, Jiawei, Ma, Yaoming | Albedo, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity, Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps |
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| Land use change-driven amplification of AOD over the Indo-Gangetic Plain | Singh, Rohit Kumar, Satyanarayana, A.N.V. | Aerosol Extinction, Aerosol Optical Depth/Thickness, Aerosol Optical Depth/Thickness, Aerosol Optical Depth/Thickness | ||
| Land-Ocean Contrast in Low-Cloud Adiabatic Fraction Modulated by Cloud | Lu, Xin, Zhu, Yannian, Rosenfeld, Daniel | Atmospheric Emitted Radiation, Emissivity, Optical Depth/Thickness, Radiative Flux, Reflectance, Transmittance, Clouds, Cloud Condensation Nuclei, Cloud Droplet Concentration/Size, Cloud Liquid Water/Ice, Cloud Optical Depth/Thickness, Cloud Precipitable Water, Cloud Asymmetry, Cloud Ceiling, Cloud Frequency, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Cloud Emissivity, Cloud Radiative Forcing, Cloud Reflectance, Cloud Types | ||
| Land-Ocean Pathways Linking Indo-Pacific Sea Surface Temperature | Jarugula, Sreelekha, Fournier, Severine, Reager, John, PascoliniCampbell, Madeleine | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Ocean Currents | ||
| Landsat observations reveal increasing trend in lake clarity on the | Wang, Shenglei, Zhang, Wenzhi, Tan, Zhangru, Spyrakos, Evangelos, Shi, Kun, Somasundaram, Deepakrishna, Wu, Zijun, Zhang, Fangfang, Li, Junsheng, Zhang, Bing | Reflectance | ||
| Landscape can play a role in the moisture content of temperate fuels | Ivison, Katy, Graham, Laura J., Little, Kerryn, Orpin, Alice, Kettridge, Nicholas | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | ||
| Landscape character assessment of Nigeria: A machine-assisted learning approach | Eneche, Patrick Samson Udama, Zeng, Yijian, Atun, Funda, Ujoh, Fanan, Pfeffer, Karin | Land Surface Temperature, Emissivity | ||
| Landslide susceptibility assessment in the Central Yunnan Plateau by assembling optimized statistical and machine learning models | Chen, Jieying, Li, Qin, Huang, Cheng, Hu, Xie, Shen, Zehao | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | ||
| Large Overestimation of Projected Western US Wildfire Burned Forest Area | Cheng, Yu, McColl, Kaighin A., Mickley, Loretta J., Feng, Xu | Longwave Radiation, Shortwave Radiation, Soil Heat Budget, Soil Heat Budget, Soil Temperature, Soil Temperature, Soil Infiltration, Soil Infiltration, Soil Moisture/Water Content, Surface Soil Moisture, Root Zone Soil Moisture, Soil Moisture/Water Content, Evaporation, Surface Water, Runoff Rate, Average Flow, Average Flow, Precipitation, Snow/Ice, Snow Depth, Snow Melt, Snow/Ice Temperature, Leaf Area Index (LAI), Leaf Area Index (LAI), Geopotential Height, Altitude, Surface Temperature, Upper Air Temperature, Dew Point Temperature, Air Temperature, Cloud Top Temperature, Atmospheric Winds, Surface Winds, U/V Wind Components, Upper Level Winds, U/V Wind Components, Vertical Wind Velocity/Speed, Atmospheric Pressure, Sea Level Pressure, Cloud Top Pressure, Sea Level Pressure, Surface Pressure, Specific Humidity, Total Precipitable Water, Cloud Liquid Water/Ice, Atmospheric Water Vapor, Atmospheric Ozone, Oxygen Compounds, Boundary Layer Winds, Skin Temperature | ||
| Large variability in satellite-based estimates of irrigation water use | Amali, Amali A, Foster, Timothy, Harris, Angela | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain |