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Disambiguation of "Morisette, Jeffrey T."

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Multitemporal and multisensor image registration.

, , , , , , and . Image Registration for Remote Sensing, Cambridge University Press, (2011)

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T. Ertl

T. Vietor

T. Maier

T. Maier

T. Maier

 

Other publications of authors with the same name

Evaluation of integrating the invasive species forecasting system to support national park service decisions on fire management activities and invasive plant species control., , , , , , , , , and 3 other author(s). IGARSS, page 2465-2468. IEEE, (2007)A study of the sensitivity of automatic image registration algorithms to initial conditions., , , , , , , , and . IGARSS, page 1390-1393. IEEE, (2004)Data Management Challenges in Species Distribution Modeling., , , and . IEEE Data Eng. Bull., 36 (4): 31-40 (2013)Vegetation Phenology Metrics Derived from Temporally Smoothed and Gap-Filled MODIS Data., , , , , , and . IGARSS (3), page 593-596. IEEE, (2008)Evaluation of the representativeness of networks of sites for the global validation and intercomparison of land biophysical products: proposition of the CEOS-BELMANIP., , , , , , , , , and 1 other author(s). IEEE Trans. Geoscience and Remote Sensing, 44 (7-1): 1794-1803 (2006)Image Registration and Fusion Studies for the Integration of Multiple Remote Sensing Data., , , , , , , , , and . ICASSP (5), page 1189-1192. IEEE, (2006)Evaluation of the consistency of long-term NDVI time series derived from AVHRR, SPOT-vegetation, SeaWiFS, MODIS, and Landsat ETM+ sensors., , , , and . IEEE Trans. Geoscience and Remote Sensing, 44 (7-1): 1787-1793 (2006)Monitoring land surface albedo and vegetation dynamics using high spatial and temporal resolution synthetic time series from Landsat and the MODIS BRDF/NBAR/albedo product., , , , , , , , , and 4 other author(s). Int. J. Applied Earth Observation and Geoinformation, (2017)Improving access to MODIS biophysical science products for NACP investigators., , , , and . IGARSS, page 1012-1015. IEEE, (2007)A Cross Comparison of Spatiotemporally Enhanced Springtime Phenological Measurements From Satellites and Ground in a Northern U.S. Mixed Forest., , , , , , , and . IEEE Trans. Geoscience and Remote Sensing, 52 (12): 7513-7526 (2014)