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Ten Ways Remote Sensing Can Contribute to Conservation, , , , , , , , , and 21 other author(s). Conservation Biology, (2014)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. Appl. Earth Obs. Geoinformation, (2017)Evaluation of the consistency of long-term NDVI time series derived from AVHRR, SPOT-vegetation, SeaWiFS, MODIS, and Landsat ETM+ sensors., , , , and . IEEE Trans. Geosci. Remote. Sens., 44 (7-1): 1787-1793 (2006)Data Management Challenges in Species Distribution Modeling., , , and . IEEE Data Eng. Bull., 36 (4): 31-40 (2013)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)Large seasonal swings in leaf area of Amazon rainforests, , , , , , , , , and 17 other author(s). Proceedings of the National Academy of Sciences, 104 (12): 4820--4823 (Mar 20, 2007)Tracking the rhythm of the seasons in the face of global change: phenological research in the 21st century, , , , , , , , , and 1 other author(s). Frontiers in Ecology and the Environment, 7 (5): 253--260 (2008)Earth science imagery registration., , , , , and . IGARSS, page 161-163. IEEE, (2003)Caveats for correlative species distribution modeling., , , , and . Ecol. Informatics, (2015)