Satellite-Derived Vegetation Index Product Intercomparison and Validation References
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
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 Collectio, n 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
TotZØ, 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
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-Mu
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
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
Pinzon, JE, Brown, ME, Pierce, JF, Tucker, CJ, (2014). Chapter 11: EMD Correction of Orbital Drift Artifacts in Satellite Data Stream, In Hilbert-Huang Transform and Applications; Huang, NE and Shen SSP, eds. World Scientific, Hackensack NJ, USA, 167-186
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
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.
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
