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 CMS Data
List of peer-reviewed publications that cite using CMS data.
Filters
| Title | Year Sort ascending | Author | Topic | Dataset |
|---|---|---|---|---|
| DeepAir: Deep learning and satellite imagery to estimate high-resolution PM2. 5 at scale | Guo, Wenxuan, Hu, Zhaoping, Jin, Ling, Xu, Yanyan, Gonzalez, Marta C | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Fossil Fuel Burning, Atmospheric Carbon Dioxide | ||
| Detecting Burned Vegetation Areas by Merging Spectral and Texture Features in a ResNet Deep Learning Architecture | Fan, Jiahui, Yao, Yunjun, Li, Yajie, Zhang, Xueyi, Chen, Jiquan, Fisher, Joshua B., Zhang, Xiaotong, Jiang, Bo, Liu, Lu, Xie, Zijing, Zhang, Luna, Qiu, Fei | Burned Area, Fire Dynamics, Fire Occurrence | ||
| Events Evaluating the Deterioration Risk of Cultural Heritage Building by CFD SimulationA Case Study of Chaotian Temple in Taiwan | Liao, Chia-Yu, Lee, Meng-Chieh Jeffrey, Tsai, Y.L. | Biomass, Canopy Characteristics, Vegetation Cover | ||
| Hybrid vegetation-seawall coastal systems for wave hazard reduction: analytics for cost-effective design from optimized features | Amini, Erfan, Marsooli, Reza, Moazeni, Somayeh, Ayyub, Bilal M. | Wetlands, Accretion, Tidal Range, Sea Level Rise, Land Use/Land Cover Classification, Tidal Height, Inundation, Coastal | ||
| High-resolution aboveground biomass mapping: the benefits of biome-specific deep learning models | Perpinya-Valles, Marti, Cendagorta-Galarza, Daniel, Ameztegui, Aitor, Huertas, Claudia, Escorihuela, Maria Jose, Romero, Laia | Forests, Evergreen Vegetation, Deciduous Vegetation, Shrubland/Scrub, Biomass, Grasslands, LIDAR WAVEFORM, Canopy Characteristics, Decomposition, Crown | ||
| Natural forests of the worlda 2020 baseline for deforestation and degradation monitoring | Neumann, Maxim, Raichuk, Anton, Jiang, Yuchang, Rey, Melanie, Stanimirova, Radost, Sims, Michelle J., Carter, Sarah, Goldman, Elizabeth, Anderson, Keith, Poklukar, Petra, Tarrio, Katelyn, Lesiv, Myroslava, Fritz, Steffen, Clinton, Nicholas, Stanton, Charlotte, Morris, Dan, Purves, Drew | Vegetation Cover, Forests, Canopy Characteristics, Biomass, Land Use/Land Cover Classification | ||
| Observation and Simulation of Methane Plumes During the Morning Boundary | Hu, XiaoMing, Honeycutt, Wesley T., Wang, Chenghao, Weng, Binbin, Zhou, Bowen, Xue, Ming | Wetlands, Methane, Emissions | ||
| Navigating the Future: Intelligent Ship Detection through Multisensor Imagery and Deep Learning | Das, Shreya | Biomass, Canopy Characteristics, Vegetation Cover | ||
| Non-parametric spatiotemporal trends in fire: An approach to identify | Karami, Peyman, Tavakoli, Sajad | Burned Area, Fire Dynamics, Fire Occurrence | ||
| Permanence risks limit blue carbon financing strategies to safeguard Southeast Asian mangroves | Kwan, Valerie, Friess, Daniel A., Sarira, Tasya Vadya, Zeng, Yiwen | Coastal, Biomass, Wetlands, Canopy Characteristics | ||
| Orbital river gauge from optical and passive microwave radiometry. A comparison of capabilities | Kugler, Zsofia, Horvath, Viktor Gyozo | Biomass, Canopy Characteristics, Vegetation Cover | ||
| Synthesis of a National Soil Dataset Across Productive Land in Mexico: | ArroyoCruz, Carlos E., Prado, Blanca, Kolb, Melanie, MoraPalomino, Lucy Natividad, ToddBrown, Katherine, Guevara, Mario | Soil Organic Carbon (SOC), Soil Bulk Density, Organic Matter | ||
| State of Wildfires 2024-2025 | Kelley, Douglas I., Burton, Chantelle, Di Giuseppe, Francesca, Jones, Matthew W., Barbosa, Maria L. F., Brambleby, Esther, McNorton, Joe R., Liu, Zhongwei, Bradley, Anna S. I., Blackford, Katie, Burke, Eleanor, Ciavarella, Andrew, Di Tomaso, Enza, Eden, Jonathan, Ferreira, Igor Jose M., Fiedler, Lukas, Hartley, Andrew J., Keeping, Theodore R., Lampe, Seppe, Lombardi, Anna, Mataveli, Guilherme, Qu, Yuquan, Silva, Patricia S., Spuler, Fiona R., Steinmann, Carmen B., Torres-Vazquez, Miguel Angel, Veiga, Renata, van Wees, Dave, Wessel, Jakob B., Wright, Emily, Bilbao, Bibiana, Bourbonnais, Mathieu, Gao, Cong, Di Bella, Carlos M., Dintwe, Kebonye, Donovan, Victoria M., Harris, Sarah, Kukavskaya, Elena A., N'Dri, Aya Brigitte, Santin, Cristina, Selaya, Galia, Sjostrom, Johan, Abatzoglou, John T., Andela, Niels, Carmenta, Rachel, Chuvieco, Emilio, Giglio, Louis, Hamilton, Douglas S., Hantson, Stijn, Meier, Sarah, Parrington, Mark, Sadegh, Mojtaba, San-Miguel-Ayanz, Jesus, Sedano, Fernando, Turco, Marco, van der Werf, Guido R., Veraverbeke, Sander, Anderson, Liana O., Clarke, Hamish, Fernandes, Paulo M., Kolden, Crystal A. | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Fire Dynamics | ||
| The Long-Run Dynamic Impact of Light Rail Construction on Regional On-Road CO 2 Emissions per Capita |
Credit, Kevin | Fossil Fuel Burning, Atmospheric Carbon Dioxide | ||
| Separating and quantifying facility-level methane emissions with overlapping plumes for spaceborne methane monitoring | Pang, Yiguo, Tian, Longfei, Hu, Denghui, Gao, Shuang, Liu, Guohua | Methane, Emissions, Urban Areas, Infrastructure | ||
| TorchGeo: Deep Learning With Geospatial Data | Stewart, Adam J., Robinson, Caleb, Corley, Isaac A., Ortiz, Anthony, Lavista Ferres, Juan M., Banerjee, Arindam | Coastal, Biomass, Wetlands, Canopy Characteristics | ||
| Toward improving our understanding on land surface interactions using geoinformatics: the expected contribution of LISTEN-EO project | Petropoulos, George P., Detsikas, Spyridon E., Lekka, Christina | Atmospheric Carbon Dioxide, Carbon Dioxide | ||
| Underestimated Carbon Losses as Dissolved Organic Carbon in Forested | Liu, Dong, Chang, Ruiying, Zhao, Hongyu, Wang, Tao, Yang, Yuan, Pan, Ming, Tang, Haiping | Photosynthesis, Primary Production, Vegetation Productivity, Autotrophic Respiration (ra), Heterotrophic Respiration (rh) | ||
| What can we learn about tropospheric OH from satellite observations of methane? | Penn, Elise, Jacob, Daniel J., Chen, Zichong, East, James D., Sulprizio, Melissa P., Bruhwiler, Lori, Maasakkers, Joannes D., Nesser, Hannah, Qu, Zhen, Zhang, Yuzhong, Worden, John | Carbonaceous Aerosols, Nitrogen Oxides, Particulates, Hydrogen Cyanide, Emissions, Non-methane Hydrocarbons/Volatile Organic Compounds, Particulate Matter, Fire Occurrence, Nitrogen Oxides, Sulfur Dioxide, Carbon And Hydrocarbon Compounds, Wetlands, Methane | ||
| Wildland and Forest Fire Emissions on Federally Managed Land in the United States, 20012021 | Hoover, Coeli M., Smith, James E. | Emissions, Forest Fire Danger Index, Fire Models, Wildfires, Forest Fire Science | ||
| Using hydrological modelling to improve the Fire Weather Index system | Mortelmans, J., Apers, S., De Lannoy, G. J. M., Veraverbeke, S., Field, R. D., Andela, N., Page, S. E., Bechtold, M. | Burned Area, Fire Dynamics, Fire Occurrence | ||
| The utility of dynamic forest structure from GEDI lidar fusion in tropical mammal species distribution models | Burns, Patrick, Kaszta, Zaneta, Cushman, Samuel A., Brodie, Jedediah F., Hakkenberg, Christopher R., Jantz, Patrick, Deith, Mairin, Luskin, Matthew Scott, Ball, James G. C., Mohd-Azlan, Jayasilan, Burslem, David F. R. P., Cheyne, Susan M., Haidir, Iding, Hearn, Andrew James, Slade, Eleanor, Williams, Peter J., Macdonald, David W., Goetz, Scott J. | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, LIDAR WAVEFORM, Terrain Elevation, Digital Elevation/Terrain Model (DEM) | ||
| The North American Greenhouse Gas Budget: Emissions, Removals, and | Poulter, Benjamin, MurrayTortarolo, Guillermo, Hayes, Daniel J., Ciais, Philippe, Andrew, Robbie M., Bastos, Ana, Byrne, Brendan, Butman, David, Canadell, Josep G., Chatterjee, Abhishek, Domke, Grant, Feldman, Andrew, Foster, Kelsey, Hunka, Neha, Jackson, Robert B., Kurz, Werner A., Lindquist, Ayia, Liu, Maodian, Luijkx, Ingrid, Mialon, Arnaud, Michalak, Anna M., Miller, John, Obermeier, Wolfgang A., Pan, Naiqin, Randerson, James T., Raymond, Peter A., Regnier, Pierre, Resplandy, Laure, RocherRos, Gerard, RodriguezFernandez, Nemesio, Rosentreter, Judith, SalazarNeira, Julio Cesar, Tank, Suzanne E., Tian, Hanqin, Vargas, Rodrigo, Villalobos, Yohanna, Wang, Jonathan A., Wei, Xinyuan, Wickland, Kimberly P., Williams, Christopher, WindhamMyers, Lisamarie, Woodall, Christopher, Ying, Qing, Zhang, Zhen | Autotrophic Respiration (ra), Heterotrophic Respiration (rh) | ||
| TROLL 4.0: representing water and carbon fluxes, leaf phenology, and intraspecific trait variation in a mixed-species individual-based forest dynamics modelPart 2 ... | Schmitt, Sylvain, Fischer, Fabian J., Ball, James G. C., Barbier, Nicolas, Boisseaux, Marion, Bonal, Damien, Burban, Benoit, Chen, Xiuzhi, Derroire, Geraldine, Lichstein, Jeremy W., Nemetschek, Daniela, Restrepo-Coupe, Natalia, Saleska, Scott, Sellan, Giacomo, Verley, Philippe, Vincent, Gregoire, Ziegler, Camille, Chave, Jerome, Marechaux, Isabelle | Lidar, Forest Composition/Vegetation Structure, Digital Elevation/Terrain Model (DEM), Canopy Characteristics, Litter Characteristics, Crown, Forests, Vegetation Species | ||
| Understand systemic risk from mangrove ecosystem through network analysis | Gong, Mimi, Yu, Ke, Huang, Qiang, A, Yinglan, Aczel, Miriam, Li, Ye, Ran, Maofang, Cheng, Yan, Li, Kaiji, Qu, Shen | Vegetation Cover, Estuary, Erosion, Normalized Difference Vegetation Index (NDVI), Erosion, Land Resources, Mangroves, Coastal, Anthropogenic/Human Influenced Ecosystems |