Estimating root mean square errors in remotely sensed soil moisture over continental scale domains

R.A.M. de Jeu, C. Draper, R. Reichle, V. Naeimi, R.M. Parinussa, W.W. Wagner

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Root Mean Square Errors (RMSEs) in the soil moisture anomaly time series obtained from the Advanced Scatterometer (ASCAT) and the Advanced Microwave Scanning Radiometer (AMSR-E; using the Land Parameter Retrieval Model) are estimated over a continental scale domain centered on North America, using two methods: triple colocation (RMSE.
Original languageEnglish
Pages (from-to)288-298
JournalRemote Sensing of Environment
Volume137
DOIs
Publication statusPublished - 2013

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