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Mapping the Spatial-Temporal Dynamics of Vegetation Response Lag to Drought in a Semi-Arid Region.

, , , , , and . Remote. Sens., 11 (16): 1873 (2019)

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A Novel Strategy to Reconstruct NDVI Time-Series with High Temporal Resolution from MODIS Multi-Temporal Composite Products., , , , , , , , , and . Remote. Sens., 13 (7): 1397 (2021)Forest Drought Response Index (ForDRI): A New Combined Model to Monitor Forest Drought in the Eastern United States., , , , , , , , , and 5 other author(s). Remote. Sens., 12 (21): 3605 (2020)Algorithm and Feature Selection for VegOut: A Vegetation Condition Prediction Tool., , and . Discovery Science, volume 5808 of Lecture Notes in Computer Science, page 107-120. Springer, (2009)Information Mining from Heterogeneous Data Sources: A Case Study on Drought Predictions., , , , , , and . Inf., 8 (3): 79 (2017)Mapping the Spatial-Temporal Dynamics of Vegetation Response Lag to Drought in a Semi-Arid Region., , , , , and . Remote. Sens., 11 (16): 1873 (2019)Towards Routine Mapping of Crop Emergence within the Season Using the Harmonized Landsat and Sentinel-2 Dataset., , , , , , , and . Remote. Sens., 13 (24): 5074 (2021)Detecting Spatiotemporal Changes of Corn Developmental Stages in the U.S. Corn Belt Using MODIS WDRVI Data., , and . IEEE Trans. Geosci. Remote. Sens., 49 (6-1): 1926-1936 (2011)Imaging Spectrometry and Fluorometry in Support of Flex: What Can We Learn from Multi-Scale Experiments?, , , , , , , , , and 5 other author(s). IGARSS, page 3931-3934. IEEE, (2018)PhenoCrop: An integrated satellite-based framework to estimate physiological growth stages of corn and soybeans., , , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2020)The Vegetation Outlook (VegOut): A New Tool for Providing Outlooks of General Vegetation Conditions Using Data Mining Techniques., and . ICDM Workshops, page 667-672. IEEE Computer Society, (2007)