Browse a list of academic papers that cite data provided by NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS).
| Title | Year Sort ascending | Author | Topic | Dataset |
|---|---|---|---|---|
| Narrow margins: aerobic Performance and temperature tolerance of coral reef fishes facing extreme thermal variability | Vaughan, Grace O., Ripley, Daniel M., Mitchell, Matthew D., McParland, Dain, Johansen, Jacob L., Shiels, Holly A., Burt, John A. | Sea Surface Temperature | ||
| New particle formation dynamics in the central Andes: contrasting urban and mountaintop environments | Aliaga, Diego, Sinclair, Victoria A., Krejci, Radovan, Andrade, Marcos, Artaxo, Paulo, Blacutt, Luis, Cai, Runlong, Carbone, Samara, Gramlich, Yvette, Heikkinen, Liine, Heslin-Rees, Dominic, Huang, Wei, Kerminen, Veli-Matti, Koenig, Alkuin Maximilian, Kulmala, Markku, Laj, Paolo, Mardonez-Balderrama, Valeria, Mohr, Claudia, Moreno, Isabel, Paasonen, Pauli, Scholz, Wiebke, Sellegri, Karine, Ticona, Laura, Uzu, Gaelle, Velarde, Fernando, Wiedensohler, Alfred, Worsnop, Doug, Wu, Cheng, Xuemeng, Chen, Zha, Qiaozhi, Bianchi, Federico | 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 | ||
| Nighttime land surface temperature and thermal discomfort in a seasonally muggy climate | Muse, Nkosi, McNoldy, Brian D., Clement, Amy, Mach, Katharine J. | Land Surface Temperature, Emissivity |
|
|
| Nighttime lights reveal substantial spatial heterogeneity and inequality in post-hurricane recovery | Zheng, Qiming, Zeng, Yiwen, Zhou, Yuyu, Wang, Zhuosen, Mu, Te, Weng, Qihao | Land Use/Land Cover Classification | ||
| Near real-time satellite soil moisture estimation via residual learning | Sengupta, Soumita, Chu, Hone-Jay | Reflectance | ||
| Near-real-time vegetation monitoring and historical database (1981present) for the Iberian Peninsula and the Balearic Islands | Franquesa, Magi, Reig, Fergus, Arretxea, Manuel, Adell-Michavila, Maria, Halifa-Marin, Amar, Vilas, Daniel, Begueria, Santiago, Vicente-Serrano, Sergio M. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Vegetation Index | ||
| Net Primary Productivity Is Driven by Aridity Index and Phenological Phase in Forest Region of China | Cui, Qinghong, Xiao, Xiao, Hong, Zhujun, Ren, Siyuan, Wang, Bo | Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity, Plant Phenology, Enhanced Vegetation Index (EVI) |
|
|
| NearAutomated Estimate of City Nitrogen Oxides Emissions Applied to South and Southeast Asia | Lu, Gongda, Marais, Eloise A., Vohra, Karn, Horner, Rebekah P., Zhang, Dandan, Martin, Randall V., Guttikunda, Sarath | 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 | ||
| Necessity of incorporating realistic land surface parameters for trend analyses of potential evapotranspiration and drought | Sun, Shanlei, Zhang, Yifang, Mu, Mengyuan, Bi, Zaoying, Liu, Yi, Li, Jinjian, Zhou, Yang, Li, Xiaoyuan, Chen, Haishan | Land Use/Land Cover Classification, Land Use Classes, Vegetation Cover, Albedo | ||
| Negligible contribution from aerosols to recent trends in Earth's energy imbalance | Park, Chanyoung, Soden, Brian J. | Dust/Ash/Smoke, Carbonaceous Aerosols, Organic Particles, Sulfate Particles, Sulfur Oxides, Sulfur Compounds, Sulfate, Sulfur Dioxide, Sulfur Oxides, Dimethyl Sulfide, Aerosol Particle Properties, Particulate Matter, Aerosols, Surface Pressure, Pressure Thickness, Relative Humidity, Sea Salt, Black Carbon, Air Mass/Density, Aerosol Backscatter, Aerosol Extinction, Aerosol Optical Depth/Thickness, Angstrom Exponent, Aerosol Radiance, Cloud Condensation Nuclei, Nitrate Particles, Trace Gases/Trace Species, Atmospheric Emitted Radiation, Emissivity, Optical Depth/Thickness, 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 | ||
| Net primary productivity but not its remote-sensing proxies predict | Holzmann, Kim L., AlonsoAlonso, Pedro, CorreaCarmona, Yenny, Pinos, Andrea, Yon, Felipe, Lopera, Alejandro, Brehm, Gunnar, Keller, Alexander, SteffanDewenter, Ingolf, Peters, Marcell K. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | ||
| Multi-timescale evapotranspiration fusion: A novel autoencoder with automated machine learning-based approach for enhanced estimation accuracy | Ci, Mengtao, Hao, Xingming, Sun, Fan, Liang, Qixiang, Fan, Xue, Zhang, Jingjing, Xiong, Haibing, Xu, Jinfan, Guo, Xinran | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux | ||
| Multi-variable calibration of SWAT in a small experimental catchment area for afforestation scenario analyses | Nervi, Eliana, Alonso, Jimena, Baethgen, Walter, Birgand, Francois, Chescheir, George, Vervoort, R. Willem | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux | ||
| Multiple Impacts of Climate Change and Anthropogenic Activities on | Xie, Ge, Zhang, Yibo, Wang, Qing, Shi, Kun, Zhang, Yunlin, Zhou, Yongqiang, Qin, Boqiang, He, Junliang, Li, Na | Reflectance | ||
| Multiple modes in tropical tree cover: a multi-dimensional perspective | Bathiany, Sebastian, Kim, Eun Joo, Boers, Niklas | Land Use/Land Cover Classification, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover | ||
| Multiscale analysis of existing actual evapotranspiration products over | Etchanchu, Jordi, Demarty, Jerome, Dezetter, Alain, Farhani, Nesrine, Thiam, Pape Biteye, Allies, Aubin, Bodian, Ansoumana, Boulet, Gilles, Chahinian, Nanee, Diop, Lamine, Mainassara, Ibrahim, Ndiaye, Pape Malick, Ollivier, Chloe, Olioso, Albert, Roupsard, Olivier | Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Humidity, Evapotranspiration, Surface Winds, Rain, Precipitation Rate, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Water Equivalent, Runoff, Soil Heat Budget, Soil Heat Budget, Soil Temperature, Soil Infiltration, Soil Infiltration, 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), Land Use/Land Cover Classification |
|
|
| Multiscale spatial dependency of small mammal diversity patterns and | Onditi, Kenneth Otieno, Song, Wenyu, Chen, Zhongzheng, Li, Xueyou, Li, Quan, de la Sancha, Noe U., Musila, Simon, Jiang, Xuelong | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux | ||
| Multisource Remote Sensing and Machine Learning for Spatio-Temporal | Sukkar, Abdullah, Ozturk, Ozan, Abulibdeh, Ammar, Seker, Dursun Zafer | Land Surface Temperature, Emissivity | ||
| Pollen-based reconstruction of spatially-explicit vegetation cover over | Zhang, Pengchao, Luo, Yi, Liu, Dan, Wang, Xiaoyi, Wang, Tao | Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification | ||
| Possibilities of assessing the state of Lake Baikal surface water using Google Earth Engine | Boldanova, E.V., Baikal State University, Lenin Street, 11, Irkutsk, 664003, Russia | Land Surface Temperature, Emissivity | ||
| 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 | ||
| 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 | ||
| Potential of Using Physics with Artificial Intelligence: Physics-Infused Machine Learning and Neural Networks for Spatiotemporal Analysis of Hydro-climatic Events | Ahmed, Asib, Mahboob, Maisha | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) |
Frequently Asked Questions
Our online forum provides a space for users to browse thousands of FAQs about research needs, data, and data applications. You can also submit new questions for our experts to answer.
Submit Questions to Earthdata Forumand View Expert Responses