Search Results
.agwat.2008.09.022 . 10.1016/j.agwat.2008.09.022 Kolassa , J. , P. Gentine , C. Prigent , F. Aires , and S. Alemohammad , 2017 : Soil moisture retrieval from AMSR-E and ASCAT microwave observation synergy. Part 2: Product evaluation . Remote Sens. Environ. , 195 , 202 – 217 , https://doi.org/10.1016/j.rse.2017.04.020 . 10.1016/j.rse.2017.04.020 Kolassa , J. , and Coauthors , 2018 : Estimating surface soil moisture from SMAP observations using a Neural Network technique . Remote
.agwat.2008.09.022 . 10.1016/j.agwat.2008.09.022 Kolassa , J. , P. Gentine , C. Prigent , F. Aires , and S. Alemohammad , 2017 : Soil moisture retrieval from AMSR-E and ASCAT microwave observation synergy. Part 2: Product evaluation . Remote Sens. Environ. , 195 , 202 – 217 , https://doi.org/10.1016/j.rse.2017.04.020 . 10.1016/j.rse.2017.04.020 Kolassa , J. , and Coauthors , 2018 : Estimating surface soil moisture from SMAP observations using a Neural Network technique . Remote
-infrared frequencies, whereas thick vegetation impedes microwave frequencies. Some ways of gap-filling satellite-based SCF include the more common spatiotemporal neighborhood persistence-based simple heuristic approaches, and modeling/data assimilation techniques. The temporal persistence techniques rely on the most recent clear sky observation ( Hall et al. 2010 ), while spatial techniques use the information from nearby clear sky pixels. These approaches work best over areas with seasonal snow packs and are
-infrared frequencies, whereas thick vegetation impedes microwave frequencies. Some ways of gap-filling satellite-based SCF include the more common spatiotemporal neighborhood persistence-based simple heuristic approaches, and modeling/data assimilation techniques. The temporal persistence techniques rely on the most recent clear sky observation ( Hall et al. 2010 ), while spatial techniques use the information from nearby clear sky pixels. These approaches work best over areas with seasonal snow packs and are
