Paper Info
Title
Constructing and analyzing a 32-years climate data record of remotely sensed soil moisture
Abstract
Satellite observations from active and passive microwave sensors have been successfully used to infer the status of soil water at a global scale. The individual instruments that can be used for this purpose cover a period of more than 30 years. Combining the separate missions into a single homogenized dataset would provide a unique opportunity to study the dynamics of soil moisture over space and time. This study presents a recently developed method for combining global soil moisture datasets with different specifications into a merged data record. The approach profits from the advantages of the various products and retrieval techniques while explicitly addressing the uncertainties related to vegetation density. Initially, products from two active and four passive microwave mission were combined. The merged dataset was analyzed with respect to trends and connects with various climate modes.
Year
DOI
Venue
2012
10.1109/IGARSS.2012.6350978
Geoscience and Remote Sensing Symposium
Keywords
Field
DocType
atmospheric techniques,climatology,data analysis,microwave measurement,moisture measurement,remote sensing,soil,vegetation,active microwave mission,active microwave sensor,climate data record,climate mode,data analysis,data construction,global soil moisture dataset,passive microwave mission,passive microwave sensor,remotely sensed soil moisture,satellite observation,single homogenized dataset,soil moisture dynamics,soil water status,time 32 yr,vegetation density,climate data record,merging,microwave remote sensing,radiometer,scatterometer,soil moisture
Meteorology,Vegetation,Satellite,Microwave remote sensing,Computer science,Remote sensing,Scatterometer,Water content,Merge (version control),Radiometer,Soil water
Conference
ISSN
ISBN
Citations 
2153-6996 E-ISBN : 978-1-4673-1158-8
978-1-4673-1158-8
0
PageRank 
References 
Authors
0.34
2
4
Name
Order
Citations
PageRank
Wouter Dorigo116721.85
W. Wagner211413.79
Bauer-Marschallinger, B.300.34
Daniel Chung440.80