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Access publications citing NASA Earth science data.
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| Title | Year Sort ascending | Author | Topic | Dataset |
|---|---|---|---|---|
| Predicting current and future potential distribution of Changnienia amoena in China under global climate change | Liu, Xingjian, Sun, Qimeng, Li, Tingting, Wang, Shuan, Shen, Jiahao, Sun, Yueqi, Li, Mimi | Land Use/Land Cover, Anthropogenic/Human Influenced Ecosystems, Sustainability | ||
| 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 Freeze-Thaw States in Alaska Permafrost Landscapes using | Ahajjam, A., Soaper, M., Chance, R., Chandler, J., Pasch, T. | Heat Flux, Air Temperature, Skin Temperature, Specific Humidity, Water Vapor, Precipitation Rate, Snow/Ice, Evaporation, Latent Heat Flux, Latent Heat Flux, Sensible Heat Flux, Diffusion, Surface Winds, Wind Speed, U/V Wind Components, Wind Stress, Wind Stress, Surface Roughness, Planetary Boundary Layer Height, Ice Fraction, Atmospheric Radiation, Longwave Radiation, Shortwave Radiation, Radiative Flux, Radiative Forcing, Surface Radiative Properties, Albedo, Emissivity, Cloud Properties, Cloud Fraction, Cloud Optical Depth/Thickness, Skin Temperature, Sea Surface Skin Temperature, Geopotential Height, Altitude, Surface Temperature, Upper Air Temperature, Dew Point Temperature, Cloud Top Temperature, Atmospheric Winds, Surface Winds, Upper Level Winds, U/V Wind Components, Vertical Wind Velocity/Speed, Atmospheric Pressure, Sea Level Pressure, Cloud Top Pressure, Sea Level Pressure, Surface Pressure, Total Precipitable Water, Cloud Liquid Water/Ice, Atmospheric Water Vapor, Atmospheric Ozone, Oxygen Compounds, Boundary Layer Winds, Total Ozone, 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, Surface Water, Runoff Rate, Average Flow, Average Flow, Precipitation, Snow Depth, Snow Melt, Snow/Ice Temperature, Leaf Area Index (LAI), Leaf Area Index (LAI), Brightness Temperature, Transition Direction |
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| Predicting Future Built-Up Land Cover from a Yearly Time Series of Satellite-Derived Binary Urban Maps | ONeill, Francis D., Wayant, Nicole M., Becker, Sarah J. | Urban Lands, Land Use/Land Cover, Urbanization/Urban Sprawl, Infrastructure | ||
| Predicting future meteorological drought risk in mainland China using | Huang, Chenyao, She, Dunxian, Liu, Xinbo, Zhang, Yanjun, Wu, Yingying, Shi, Xinrong, Wei, Yiheng | Pasture, Cropland, Water Resources | ||
| Predicting oxygen-18 and deuterium over South America: local meteoric water lines for countries and biogeographical regions | Silva, Cesar de Oliveira Ferreira, Santarosa, Lucas Vituri, dos Santos, Vinicius, Manzione, Rodrigo Lilla, Gastmans, Didier | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | ||
| Predicting pavement cracking performance using laser scanning and geocomplexityenhanced machine learning | Chen, Chunjiang, Song, Yongze, Lv, Wenbo, Shemery, Ammar, Hampson, Keith, Yi, Wen, Zhong, Yun, Wu, Peng | Land Surface Temperature, Emissivity | ||
| Predicting Persistent Forest Fire Refugia Using Machine Learning Models | Christ, Sven, Kraaij, Tineke, Geldenhuys, Coert J., de Klerk, Helen M. | RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM) | ||
| 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) | ||
| Predicting pup-rearing habitat for Mexican wolves | Bassing, Sarah B., Oakleaf, John K., Cain, James W., Greenleaf, Allison R., Gardner, Colby M., Ausband, David E. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | ||
| Predicting regional-scale groundwater levels at high spatial resolution using spatial Random Forest models | Raza, Ahsan, Ryo, Masahiro, Ghazaryan, Gohar, Baatz, Roland, Main-Knorn, Magdalena, Inforsato, Leonardo, Nendel, Claas | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux | ||
| Predicting suitable habitats and carbon storage potential of mangroves: A case study in Zhanjiang, China | Lin, Zeyu, Su, Wenxiao, Cui, Xiaowei, Wei, Long, Feng, Jianxiang | Photosynthesis, Primary Production, Vegetation Productivity | ||
| 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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| Predicting the multiscale cloud and precipitation variability with a state-of-the-art ensemble forecast system | Bechtold, Peter, Janousek, Martin, Schrottle, Josef | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | ||
| Prediction of potential suitable habitats of Malania oleifera under future climate scenarios based on the MaxEnt model | Zhang, Ye, Li, Mimi, Zhang, Xiaoning, Qin, Zihai, Wang, Ping, Liu, Hailong | Land Use/Land Cover, Anthropogenic/Human Influenced Ecosystems, Sustainability | ||
| Predictive understanding of socioeconomic flood impact in data-scarce regions based on channel properties and storm characteristics: application in High Mountain ... | Khanam, Mariam, Sofia, Giulia, Rodriguez, Wilmalis, Nikolopoulos, Efthymios I., Lu, Binghao, Song, Dongjin, Anagnostou, Emmanouil N. | Digital Elevation/Terrain Model (DEM), Floods | ||
| Predictiveness and drivers of highly pathogenic avian influenza | Opata, Michael Rogo, Lavarello-Schettini, Andrea, Semenza, Jan C., Rocklov, Joacim | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | ||
| Preexisting phytoplankton biomass concentrations shape coastal plankton response to firegenerated ash leachate | Baetge, Nicholas, Halsey, Kimberly H., Hanan, Erin J., Behrenfeld, Michael J., Milligan, Allen J., Graff, Jason R., Hansen, Parker, Carlson, Craig A., Boiteau, Rene M., Arrington, Eleanor C., Comstock, Jacqueline, Halewood, Elisa R., Harvey, Elizabeth L., Nelson, Norman B., Opalk, Keri, Ver Wey, Brian | Reflectance, Absorption, Absorption | ||
| Preferential encroachment of high-quality cropland by urban expansion across China: Past trends and future projections | Sheng, Shuangqing, Song, Wei | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | ||
| Probabilistic Near-Real-Time Retrievals of Rain Over Africa Using Deep | Amell, Adria, Hee, Lilian, Pfreundschuh, Simon, Eriksson, Patrick | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Atmospheric Water Vapor | ||
| Probabilistic operating rules for Thika Dam in Kenya | Macharia, Racheal, Ndiritu, John, Gathenya, John M. | Geopotential Height, Altitude, Surface Temperature, Skin 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, Total Ozone | ||
| Probabilistic prediction of shallow landslides through a generalized linear mixed-effects model integrating geological and rainfall factors | Liao, Zhongzhen, Wu, Ruohan, Qi, Zhixin, Zheng, Zhiwen, Xin, Qinchuan, Gui, Hanliang, Li, Hongzhong | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | ||
| Probabilistic Seasonal Outlook of the Rainy Season over Southeast Asia by Monitoring its Onset | Misra, Vasubandhu, Brennan, Alice, Jayasankar, C. B., Rodgers, Joanna, Amarjeet | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain |