National Aeronautics and Space Administration

Below is a select list of VIIRS peer reviewed publications.

Aware of peer reviewed publications we might want to include? Feel free to send us the reference.

George A. Riggs and Dorothy K. Hall, 2020, Continuity of MODIS and VIIRS Snow Cover Extent Data Products for Development of an Earth Science Data Record, Remote Sens., 12, 3781

Dorothy K. Hall, George A. Riggs, Nicolo E. DiGirolamo, and Miguel O. Román, 2019, Evaluation of MODIS and VIIRS cloud-gap-
  filled snow-cover products for production of an Earth science data record, Hydrol. Earth Syst. Sci., 23, 5227–52

Moon, M., Zhang, X, Henebry, G.M., Liu, L., Gray, J.M., Melaas, E.K., Friedl, M.A., 2019, Long-term continuity in land surface
  phenology measurements: A comparative assessment of the MODIS land cover dynamics and VIIRS land surface phenology
  products, Remote Sensing of Environment, 226, 74-92, https://doi.org/10.1016/j.rse.2019.03.034

Stokes, EC and KC Seto. 2019. "Characterizing and measuring urban landscapes for sustainability." Environmental Research Letters,   14 (04): 5002 [10.1088/1748-9326]

Zhu, Z, Y Zhou, KC Seto, EC Stokes, C Deng, STA Pickett, H Taubenbock. 2019. "Understanding an urbanizing planet: Strategic   directions for remote sensing." Remote Sensing of Environment, 228: 164--182 [https://doi.org/10.1016/j.rse.2019.04.020]

Jarchow CJ, Didan K, Barreto-Muñoz A, Nagler PL, Glenn EP. Application and Comparison of the MODIS-Derived Enhanced   Vegetation Index to VIIRS,Landsat 5 TM and Landsat 8 OLI Platforms: A Case Study in the Arid Colorado River Delta, Mexico.   Sensors. 2018 May 13;18(5):1546.

Zhang, X., Jayavelu, S., Liu, L., Fried, M., Henebry, G., Liu, Y., Schaaf, C., Richardson, A., Gray, J. (2018). Evaluation of land   surface phenology from VIIRS data using time series of Phenocam imagery. Agriculture and Forest Meteorology, Volumes
  256–257, 15 June 2018, Pages 137-149.

Zhang, X., Liu, L., Liu, Y., Jayavelu, S., Wang, J., Moon, M., Henebry, G.M., Friedl, M.A., Schaaf, C.B., (2018). Generation and   evaluation of the VIIRS land surface phenology product, Remote Sensing of Environment, Volume 216, 2018, Pages 212-229, ISSN   0034-4257, https://doi.org/10.1016/j.rse.2018.06.047.

Xu, B., Park, T., Yan, K., Chen, C., Zeng, Y., Song, W., Yin, G., Li, J., Liu, Q., Knyazikhin, Y. and Myneni, R.B. (2018). Analysis of   Global LAI/FPAR Products from VIIRS and MODIS Sensors for Spatio-Temporal Consistency and Uncertainty from 2012-2016.   Forests, doi:10.3390/f9020073

Román, M.O., Wang, Z., Sun, Q., Kalb, V., Miller, S.D., Molthan, A., Schultz, L., Bell, J., Stokes, E.C., Pandey, B. and Seto, K.C.,
  et al. 2018. NASA's Black Marble nighttime lights product suite. Remote Sensing of Environment, 210, pp.113-143,   DOI:10.1016/j.rse.2018.03.017.

Yan, K., T. Park, C. Chen, B. Xu, W. Song, B. Yang, Y. Zeng, Z. Liu, G. Yan, Y. Knyazikhin, and R. B. Myneni (2018). Generating   Global Products of LAI and FPAR From SNPP-VIIRS Data: Theoretical Background and Implementation, IEEE Transactions on   Geoscience and Remote Sensing, doi:10.1109/TGRS.2017.2775247.

Skakun, S., Justice, C. O., Vermote, E. L-C. Roger (2018). Transitioning from MODIS to VIIRS: an analysis of inter-consistency of   NDVI data sets for agricultural monitoring. International Journal of Remote Sensing. 39. 971-992. 10.1080/01431161.2017.1395970.

Miura, T., Muratsuchi, J., Vargas, M., Assessment of cross-sensor vegetation index compatibility between VIIRS and MODIS using   near-coincident observations, J. Appl. Remote Sens. 12(4), 045004 (2018), doi: 10.1117/1.JRS.12.045004.

Hulley, G.C., Malakar, N., Islam, T., Freepartner R.J. (2017). NASA's MODIS and VIIRS Land Surface Temperature and Emissivity   Products: A Long-Term and Consistent Earth System Data Record, IEEE Journal of Applied Earth Observations and Remote   Sensing, December, 2017. doi: 10.1109/JSTARS.2017.2779330

Zhang, X., L. Liu, D. Yan (2017). Comparisons of Global Land Surface Seasonality and Phenology Derived from AVHRR, MODIS and   VIIRS Data, Journal of Geophysical Research: Biogeosciences, DOI: 10.1002/2017JG003811.

Baldwin, D., M. Tschudi, F. Pacifici, Y. Liu (2017). Validation of Suomi-NPP VIIRS sea ice concentration with very high-resolution   satellite and airborne camera imagery, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 130, August 2017, Pages   122-138, https://doi.org/10.1016/j.isprsjprs.2017.05.018.

Liu, Y., M. J.Hill, X. Zhang, Z. Wang, A. D.Richardson, K. Hufkens, G. Filippa, D. Baldocchi, S. Ma, J. Verfaillie, C. B. Schaaf (2017).   Using data from Landsat, MODIS, VIIRS and PhenoCams to monitor the phenology of California oak/grass savanna and open   grassland across spatial scales. Agricultural and Forest Meteorology, Volumes 237-238, 1 May 2017, Pages 311-325,   doi:10.1016/j.agrformet.2017.02.026.

Liu, Y., Wang, Z., Sun, Q., SanClements, M. (2017). Evaluation of the VIIRS BRDF, Albedo and NBAR products suite and an   assessment of continuity with the long term MODIS record. Remote Sensing of Environment. 201. 256-274.   10.1016/j.rse.2017.09.020.

Islam, T., Hulley, G.C., Malakar, N. K., Radocinski, R.G., Guillevic, P.C., and Hook, S.J. (2016). A Physics-Based Algorithm for the   Simultaneous Retrieval of Land Surface Temperature and Emissivity From VIIRS Thermal Infrared Data, IEEE Transactions on   Geoscience and Remote Sensing, Septermber 2016 (in press).

Pahlevan, N., Sarkar, S., Devadiga, S., Wolfe, R. E., Román, R.O., Vermote, E., Lin, G. and Xiong X. (2016). Impact of Spatial   Sampling on Continuity of MODIS-VIIRS Land Surface Reflectance Products: A Simulation Approach, IEEE Transactions on   Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2016.2604214

Campagnolo, M. L., Sun, Q., Liu, Y., Schaaf, C., Wang, Z., and Román, M. O. (2016). Estimating the effective spatial resolution of   the operational BRDF, albedo, and nadir reflectance products from MODIS and VIIRS, Remote Sensing of Environment, 175 (1)   (2016), pp. 52-64 http://dx.doi.org/10.1016/j.rse.2015.12.033

Román, M. O., and E. C. Stokes (2015). Holidays in lights: tracking cultural patterns in demand for energy services, Earth's Future,   3,doi:10.1002/2014EF000285

Sun, D., Li, S., Zheng, W., Croitoru, A., Stefanidis, A., & Goldberg, M. (2015). Mapping floods due to Hurricane Sandy using NPP   VIIRS and ATMS data and geotagged Flickr imagery. International Journal of Digital Earth, 1-15,   doi:10.1080/17538947.2015.1040474.

Ou, Jinpei, Xiaoping Liu, Xia Li, Meifang Li, and Wenkai Li (2015). Evaluation of NPP-VIIRS Nighttime Light Data for Mapping Global   Fossil Fuel Combustion CO2 Emissions: A Comparison with DMSP-OLS Nighttime Light Data, PLoS Onev. 10(9),   2015PMC4577086, doi: 10.1371/journal.pone.0138310.

Guillevic, P. C., Biard, J., Hulley, G. C., Privette, J. L., Hook, S. J., Olioso, A., Göttsche, F.-M., Radocinski, R., Román, M. O., Yu, Y.,   and Csiszar I. (2014). Validation of Land Surface Temperature products derived from the Visible Infrared Imager Radiometer Suite   (VIIRS) using ground-based and heritage satellite measurements. Remote Sensing of Environment, Volume 154, Pages 19-37.   doi:10.1016/j.rse.2014.08.013.

Vermote, E., Justice, C.O., Csiszar, I.A., (2014). Early evaluation of the VIIRS calibration, cloud mask and surface reflectance Earth   data records, Remote Sensing of Environment, Volume 148, 25 May 2014, Pages 134-145. doi: 10.1016/j.rse.2014.03.028

Schroeder, W., Oliva, P., Giglio, L., Csiszar, I.A., (2014). The New VIIRS 375m active fire detection data product: Algorithm   description and initial assessment. Remote Sensing of Environment, Volume 143, Pages 85-96. doi: 10.1016/j.rse.2013.12.008

Li, Hua, Sun, D., Yu, Y., Wang, H., Liu, Y., Liu, Q., Du, Y., Wang, H. Cao, B. (2014). Evaluation of the VIIRS and MODIS LST products   in an arid area of Northwest China. Remote Sensing of Environment, 142, 111-121, doi:10.1016/j.rse.2013.11.014.

Liang, Calvin K., Stephen Mills, Bruce I. Hauss, and Steven D. Miller (2014). Improved VIIRS Day/Night Band Imagery With Near   Constant Contrast Imagery With Near-Constant Contrast. IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, No. 11.

Shi, Kaifang, Chang Huang, Bailang Yu, Bing Yin, Yixiu Huang & Jianping Wu (2014). Evaluation of NPP-VIIRS night-time light   composite data for extracting built-up urban areas. Remote Sensing Letters Volume 5, Issue 4, 2014. DOI:   10.1080/2150704X.2014.905728.

Justice, C.O., Román, M.O., Csiszar, I., Vermote, E., Wolfe, R., Hook, S.J., Friedl, M., Wang, Z., Schaaf, C., Miura, T., Tschudi, M.,      Riggs, G., Hall, D.K., Lyapustin, A., Devadiga, S., Davidson, C., & Masuoka, E. (2013). Land and Cryosphere Products from Suomi   NPP VIIRS: Overview and Status. Journal of Geophysical Research-Atmospheres, 118, 1-13, doi:10.1002/jgrd.50771.

Elvidge, C. D., Zhizhin, Hsu, F., M., Baugh, K., (2013). VIIRS Nightfire: Satellite Pyrometry at Night. Remote Sens. 5, no. 9:
  4423-4449.doi:10.3390/rs5094423

Coen, J.L., & Schroeder, W. (2013). Use of spatially refined satellite remote sensing fire detection data to initialize and evaluate   coupled weather-wildfire growth model simulations. Geophysical Research Letters, doi:10.1002/2013GL057868.

Miura, T., Turner, J.P., & Huete, A.R. (2013). Spectral Compatibility of the NDVI Across VIIRS, MODIS, and AVHRR: An Analysis of   Atmospheric Effects Using EO-1 Hyperion. IEEE Transactions on Geoscience and Remote Sensing, 51, 1349-1359,   doi:10.1109/TGRS.2012.2224118.

Vargas, M., Miura, T., & Shabanov, N. (2013). An Initial Assessment of the Suomi NPP VIIRS Vegetation Index EDR. Journal of   Geophysical Research-Atmospheres,   doi:10.1002/2013JD020439.

Csiszar, I., Schroeder W., Giglio, L., Ellicott, E., Vadrev, K.P., Justice, C.O., and Wind, B. (2013), Active fires from the Suomi NPP   Visible Infrared Imaging Radiometer Suite: Product status and first evaluation results. J. Geophys. Res. Atmos., 119,   doi:10.1002/2013JD020453.

Li, Xi, Huimin Xu, Xiaoling Chen, and Chang Li (2013). Potential of NPP-VIIRS Nighttime Light Imagery for Modeling the Regional   Economy of China. Remote Sensing, 2013, 5(6), 3057-3081; doi:10.3390/rs5063057.

Cao, Changyong, Xi Shao, Sirish Uprety (2013). Detecting Light Outages After Severe Storms Using the S-NPP/VIIRS Day/Night   Band Radiances, IEEE Geoscience and Remote Sensing, Volume:10 Issue:6.

Wang, Dongdong, Shunlin Liang, Tao He, and Yunyue Yu (2013). Direct estimation of land surface albedo from VIIRS data:   Algorithm improvement and preliminary validation. Journal of Geophysical Research: Atmospheres, Vol. 118, 12,577-12,586,   doi:10.1002/2013JD020417.

Uprety, Sirish, Changyong Cao, Xiaoxiong Xiong, Slawomir Blonski, Aisheng Wu, and Xi Shao (2013). Radiometric Intercomparison   between Suomi-NPP VIIRS and Aqua MODIS Reflective Solar Bands Using Simultaneous Nadir Overpass in the Low Latitudes.   Journal of Atmospheric and Oceanic Technology 2013 30:12, 2720-2736.

Miller, Steven D., William Straka III, Stephen P. Mills, Christopher D. Elvidge, Thomas F. Lee, Jeremy Solbrig, Andi Walther, Andrew   K. Heidinger and Stephanie C. Weiss (2013). Illuminating the Capabilities of the Suomi National Polar-Orbiting Partnership   (NPP)  Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band. Remote Sensing, 5(12), 6717-6766;   doi:10.3390/rs5126717.

Wolfe, R.E., Lin, G., Nishihama, M., Tewari, K.P., Tilton, J.C., & Isaacman, A.R. (2013). Suomi NPP VIIRS prelaunch and on-orbit   geometric calibration and characterization. Journal of Geophysical Research: Atmospheres,doi:10.1002/jgrd.50873

Obata, K., Miura, T., Yoshioka, H., & Huete, A.R. (2013). Derivation of a MODIS-compatible enhanced vegetation index from visible   infrared imaging radiometer suite spectral reflectances using vegetation isoline equations. Journal of Applied Remote Sensing, 7,   073467-073467, doi:10.1117/1.JRS.7.073467.

Key, J.R., Mahoney, R., Liu, Y., Romanov, P., Tschudi, M., Appel, I., Maslanik, J., Baldwin, D., Wang, X., & Meade, P. (2013). Snow   and ice products from Suomi NPP VIIRS. Journal of Geophysical Research: Atmospheres, 2013JD020459,   doi:10.1002/2013JD020459.