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Satellite-Derived Vegetation Index Product Intercomparison and Validation References

2021

Miura, T., Smith, C. Z., & Yoshioka, H. (2021). Validation and analysis of Terra and Aqua MODIS, and SNPP VIIRS    vegetation indices under zero vegetation conditions: A case study using Railroad Valley Playa. Remote Sensing of    Environment, 257, 112344. doi:10.1016/j.rse.2021.112344

2017 - 2018

Toté, C., E. Swinnen, S. Sterckx, S. Adriaensen, I. Benhadj, M. Iordache, L. Bertels, G. Kirches, K. Stelzer, W. Dierckx,    L. Van den Heuvel, D. Clarijs and F. Niro (2018). Evaluation of PROBA-V Collection 1: Refined Radiometry,    Geometry, and Cloud Screening, Remote Sensing, 10, 1375 doi:10.3390/rs10091375

Miura, T., Muratsuchi, J., & Vargas, M. (2018). Assessment of cross-sensor vegetation index compatibility between    VIIRS and MODIS using near-coincident observations. Journal of Applied Remote Sensing, 12(4), 045004-045012.    doi:10.1117/1.JRS.12.045004

Rankine, C., Sanchez-Azofeifa, G. A., Guzman, J. A., Espirito-Santo, M. M., & Sharp, I. (2017). Comparing MODIS and    near-surface vegetation indexes for monitoring tropical dry forest phenology along a successional gradient using    optical phenology towers. Environmental Research Letters, 12(10), 105007. doi:10.1088/1748-9326/aa838c

Toté, C., E. Swinnen, S. Sterckx, D. Clarijs, C. Quang and R. Maes (2017). Evaluation of the SPOT/VEGETATION    Collection 3 reprocessed dataset: Surface reflectance and NDVI, Remote Sensing of Environment 201, 219-233,    http://dx.doi.org/10.1016/j.rse.2017.09.010

2016

Wagle, P., Gowda, P. H., Xiao, X., & KC, A. (2016). Parameterizing ecosystem light use efficiency and water use    efficiency to estimate maize gross primary production and evapotranspiration using MODIS EVI. Agricultural and    Forest Meteorology, 222, 87-97. doi:10.1016/j.agrformet.2016.03.009

Gao, F., Anderson, M., Zhang, X., Yang, Z., Alfieri, J., Kustas, B., Mueller, R., Johnson, D. and Prueger, J. (2016).    Mapping crop progress at field scales through fusion of Landsat and MODIS imagery. Remote Sensing of    Environment. doi: 10.1016/j.rse.2016.11.004, 2016.

Marshall, M., Okuto, E., Kang, Y., Opiyo, E., & Ahmed, M. (2016). Global assessment of Vegetation Index and    Phenology Lab (VIP) and Global Inventory Modeling and Mapping Studies (GIMMS) version 3 products.    Biogeosciences, 13(3), 625-639. doi:10.5194/bg-13-625-2016

Nagler, P. L., Doody, T. M., Glenn, E. P., Jarchow, C. J., Barreto-Muñoz, A., & Didan, K. (2016). Wide-area estimates    of evapotranspiration by red gum (Eucalyptus camaldulensis) and associated vegetation in the Murray-Darling River    Basin, Australia. Hydrological Processes, 30(9), 1376-1387. doi:10.1002/hyp.10734

Obata, K., Miura, T., Yoshioka, H., Huete, A., & Vargas, M. (2016). Spectral cross-calibration of VIIRS Enhanced    Vegetation Index with MODIS: A case study using year-long global data. Remote Sensing, 8(1), 34.    doi:10.3390/rs8010034

2010 - 2015

Shabanov, N., Vargas, M., Miura, T., Sei, A., & Danial, A. (2015). Evaluation of the performance of Suomi NPP VIIRS    top of canopy vegetation indices over AERONET sites. Remote Sensing of Environment, 162(0), 29-44.    doi:10.1016/j.rse.2015.02.004

Kim, Y., Kimball, J. S., Didan, K., & Henebry, G. M. (2014). Response of vegetation growth and productivity to spring    climate indicators in the conterminous United States derived from satellite remote sensing data fusion. Agricultural    and Forest Meteorology, 194(0), 132-143.

Pinzon, E. J., & Tucker, J. C. (2014). A non-stationary 1981-2012 AVHRR NDVI3g time series. Remote Sensing,    6(8),6929-6960. doi:10.3390/rs6086929

Vargas, M., Miura, T., Shabanov, N., & Kato, A. (2013). An initial assessment of Suomi NPP VIIRS vegetation index    EDR. Journal of Geophysical Research-Atmospheres, 118, 1-16. doi:10.1002/2013JD020439

Becker-Reshef, I., Vermote, E., Lindeman, M. and Justice, C., 2010. A generalized regression-based model for    forecasting winter wheat yields in Kansas and Ukraine using MODIS data. Remote Sensing of Environment, 114(6),    pp.1312-1323.

2008 and earlier

Huete, A. R., Restrepo-Coupe, N., Ratana, P., Didan, K., Saleska, S. R., Ichii, K., Gamo, M. (2008). Multiple site tower    flux and remote sensing comparisons of tropical forest dynamics in Monsoon Asia. Agricultural and Forest    Meteorology, 148(5), 748-760. doi:10.1016/j.agrformet.2008.01.012

Miura, T., Yoshioka, H., Fujiwara, K., & Yamamoto, H. (2008). Inter-comparison of ASTER and MODIS surface    reflectance and vegetation index products for synergistic applications to natural resource and environmental    monitoring. Sensors, 8, 2480-2499. 

Gao, F., Morisette, J. T., Wolfe, R. E., Ederer, G., Pedelty, J., Masuoka, Ed., Myneni, R., Tan B. and Nightingale, J.    (2008). An algorithm to produce temporally and spatially continuous MODIS LAI time series, IEEE Geoscience and    Remote Sensing Letters. 5 (1):60-64.

Nagler, P. L., Scott, R. L., Westenburg, C., Cleverly, J. R., Glenn, E. P., & Huete, A. R. (2005). Evapotranspiration on    western U.S. rivers estimated using the Enhanced Vegetation Index from MODIS and data from eddy covariance and    Bowen ratio flux towers. Remote Sensing of Environment, 97(3), 337-351. doi:10.1016/j.rse.2005.05.011

Tucker, C. J. and Pinzon, J. E. and Brown, M. E. and Slayback, D. A. and Pak, E. W. and Mahoney, R. and Vermote,    E. F. and El Saleous, N. (2005) An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT    vegetation NDVI data, International Journal of Remote Sensing, 26:20, 4485-4498, DOI:
   10.1080/01431160500168686

Gao, X., Huete, A. R., & Didan, K. (2003). Multisensor comparisons and validation of MODIS vegetation indices at the    semiarid Jornada experimental range. IEEE Transactions on Geoscience and Remote Sensing, 41(10), 2368-2381.    doi:10.1109/TGRS.2003.813840

Huete, A., Didan, K., Miura, T., Rodriguez, E. P., Gao, X., & Ferreira, L. G. (2002). Overview of the radiometric and    biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 83(1-2), 195-213.    doi:10.1016/S0034-4257(02)00096-2


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