Skakun, S., Justice, C., Vermote, E., & Roger, J.-C. (2018). Transitioning from MODIS to VIIRS: an analysis of inter-consistency of NDVI data sets for agricultural monitoring. International Journal of Remote Sensing, 39(4), 971–992.
Kussul, N., Lavreniuk, M., Shelestov, A., & Skakun, S. (2018). Crop inventory at regional scale in Ukraine: developing in season and end of season crop maps with multi-temporal optical and SAR satellite imagery. European Journal of Remote Sensing (in press), doi:10.1080/22797254.2018.1454265
Skakun, S., Franch, B., Vermote, E., Roger, J.-C., Becker-Reshef, I., Justice, C., & Kussul, N. (2017). Early season large-area winter crop mapping using MODIS NDVI data, growing degree days information and a Gaussian mixture model. Remote Sensing of Environment, 195, 244–258.
Skakun, S., Vermote, E., Roger, J.-C., & Justice, C. (2017). Multi-spectral misregistration of Sentinel-2A images: analysis and implications for potential applications. IEEE Geoscience and Remote Sensing Letters, 14(12). doi: 10.1109/LGRS.2017.2766448.
Skakun, S., Roger, J.-C., Vermote, E., Masek, J., & Justice, C. (2017). Automatic sub-pixel co-registration of Landsat-8 OLI and Sentinel-2A MSI images using phase correlation and machine learning based mapping. International Journal of Digital Earth, 10(12), 1253–1269.
Skakun, S., Vermote, E., Roger, J.-C., & Franch, B. (2017). Combined Use of Landsat-8 and Sentinel-2A Images for Winter Crop Mapping and Winter Wheat Yield Assessment at Regional Scale. AIMS Geosciences, 3(2), 163–186. doi:10.3934/geosci.2017.2.163.
Kussul, N., Lavreniuk, M., Skakun, S., & Shelestov, A. (2017). Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data. IEEE Geoscience and Remote Sensing Letters, 14(5), 778–782.
Shelestov, A., Kolotii, A., Skakun, S., Baruth, B., Lopez-Lozano, R., Yailymov, B. (2017). Biophysical parameters mapping within the SPOT-5 Take 5 initiative. European Journal of Remote Sensing, 50(1), 300–309. doi:10.1080/22797254.2017.1324743.
Shelestov, A., Lavreniuk, M., Kussul, N., Novikov, A., & Skakun S. (2017). Exploring Google Earth Engine Platform for Big Data Processing: Classification of Multi-Temporal Satellite Imagery for Crop Mapping. Frontiers in Earth Science, 5:17. doi:10.3389/feart.2017.00017.
Mira, M., Olioso, A., GallegoElvira, B., Courault, D., Garrigues, S., Marloie, O., Hagolle, O., Guillevic, P. C., and Boulet, G. (2016). Uncertainty assessment of surface net radiation derived from Landsat images. Remote Sensing of Environment, 175, 251–270.
Kussul N., Lemoine G., Gallego J., Skakun S., Lavreniuk M., Shelestov A. (2016) “Parcelbased Crop Classification in Ukraine Using Landsat8 Data and Sentinel1A Data”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, ​vol. 9, no. 6, pp. 2500–2508
Waldner F., de Abelleyra D., Veron S. R., Zhang M., Wu B., Plotnikov D., Bartalev S., Lavreniuk M., Skakun S., Kussul N., Le Maire G., Dupuy S., Jarvis I., Defourny P. (2016) “Towards a set of agrosystemspecific cropland mapping methods to address the global cropland diversity”, International Journal of Remote Sensing, ​vol. 37, no. 14, pp. 3196–3231
Vermote, E., Justice, C., Claverie, M., Franch, B. (2016) “Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product”, Remote Sensing of Environment - 185 (2016) 46–56.
Pahlevan, N., Sarkar, S., Devadiga, S., Wolfe, R.E., Román, M., Vermote, E., Lin, G., 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, Vol. 55, No. 1, Jan 2017. DOI 10.1109/TGRS.2016.2604214
Franch, B., E. F. Vermote, I. Becker-Reshef, et al. (2015). "Improving the timeliness of winter wheat production forecast in the United States of America, Ukraine and China using MODIS data and NCAR Growing Degree Day information." Remote Sensing of Environment, 161: 131-148 [10.1016/j.rse.2015.02.014]
Franch, B., E. F. Vermote, J. A. Sobrino, and Y. Julien. (2014). "Retrieval of surface albedo on a daily basis: Application to MODIS data." IEEE Transaction on Geoscience and Remote Sensing, 52 (12): 7549-7558 [10.1109/TGRS.2014.2313842]
Nagol, J. R., E. Vermote, and S. D. Prince. (2014). "Quantification of Impact of Orbital Drift on Inter-Annual Trends in AVHRR NDVI Data." Remote Sens., 6 (7): 6680-6687 [10.3390/rs6076680]
Vermote, E., C. Justice, and I. Csiszar. (2014). "Early evaluation of the VIIRS calibration, cloud mask and surface reflectance Earth data records." Remote Sensing of Environment, 148: 134-145 [10.1016/j.rse.2014.03.028]
Yeo, I.-Y., M. Lang, and E. Vermote. (2014). "Improved Understanding of Suspended Sediment Transport Process Using Multi-Temporal Landsat Data: A Case Study From the Old Woman Creek Estuary (Ohio)." IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing, 7 (2): 636-647 [10.1109/JSTARS.2013.2265191]
Franch, B., E. F. Vermote, and M. Claverie. (2014). "Intercomparison of Landsat albedo retrieval techniques and evaluation against in situ measurements across the US SURFRAD network." Remote Sensing of Environment, 152: 627-637 [ doi:10.1016/j.rse.2014.07.019]
Franch, B., E. Vermote, J. A. Sobrino, and Fedele, E. (2013). "Analysis of directional effects on atmospheric correction." Remote Sensing of Environment, 128: 276-288 [10.1016/j.rse.2012.10.018]
Sobrino, J. A., B. Franch, R. Oltra-Carrio, E. Vermote, and E. Fedele. (2013). "Evaluation of the MODIS Albedo product over a heterogeneous agricultural area." International Journal of Remote Sensing, 34 (15): 5530-5540 [10.1080/01431161.2013.792968]
Ju, J., D. P. Roy, E. Vermote, J. Masek, and V. Kovalskyy. (2012). "Continental-scale validation of MODIS-based and LEDAPS Landsat ETM+ atmospheric correction methods." Remote Sensing of Environment, 122: 175-184 [10.1016/j.rse.2011.12.025]
Vermote, E. F., C. Justice, and F. Breon. (2009). "Towards a Generalized Approach for Correction of the BRDF Effect in MODIS Directional Reflectances." IEEE Trans. Geosci. Remote Sensing, 47 (3): 898-908 [10.1109/TGRS.2008.2005977]
Ellicott, E., E. F. Vermote, F. Petitcolin, and S. Hook. (2009). "Validation of a New Parametric Model for Atmospheric Correction of Thermal Infrared Data." IEEE Trans. Geosci. Remote Sensing, 47 (1): 295-311 [10.1109/TGRS.2008.2006182]
Vermote, E., E. Ellicott, O. Dubovik, et al. (2009). "An approach to estimate global biomass burning emissions of organic and black carbon from MODIS fire radiative power." J. Geophys. Res., 114 (D18): D18205 [10.1029/2008JD011188]
Kotchenova, S., E. F. Vermote, R. C. Levy, and A. I. Lyapustin. (2008). "Radiative transfer codes for atmospheric correction and aerosol retrieval: intercomparison study." Applied Optics, 47 (13): 2215 [10.1364/AO.47.002215]
Vermote, E., and S. Kotchenova. (2008). "Atmospheric correction for the monitoring of land surfaces." J. Geophys. Res., 113 (D23): D23S90 [10.1029/2007JD009662]
Vermote, E., J. Roger, A. Sinyuk, N. Saleous, and O. Dubovik. (2007). "Fusion of MODIS-MISR aerosol inversion for estimation of aerosol absorption." Remote Sens Environ, 107: 81-89.
Levy, R. C., R. C. Levy, S. Mattoo, E. F. Vermote, and Y. Kaufman. (2007). "Second-generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance." J Geophys Res, 112 (D13211): 21 pp [10.1029/2006JD007815]
Vermote, E. F., and N. Z. Saleous. (2006). "Calibration of NOAA16 AVHRR over a desert site using MODIS data." Remote Sens Environ, 105 (3): 214-220 [10.1016/j.rse.2006.06.015