Paper Info
Title
Developing a Global Data Record of Daily Landscape Freeze/Thaw Status Using Satellite Passive Microwave Remote Sensing
Abstract
The landscape freeze-thaw (F/T) state parameter derived from satellite microwave remote sensing is closely linked to the surface energy budget, hydrological activity, vegetation growing season dynamics, terrestrial carbon budgets, and land-atmosphere trace gas exchange. Satellite microwave remote sensing is well suited for global F/T monitoring due to its insensitivity to atmospheric contamination and solar illumination effects, and its strong sensitivity to the relationship between landscape dielectric properties and predominantly frozen and thawed conditions. We investigated the utility of multifrequency and dual polarization brightness temperature (Tb) measurements from the Special Sensor Microwave Imager (SSM/I) to map global patterns and daily variations in terrestrial F/T cycles. We defined a global F/T classification domain by examining biophysical cold temperature constraints to vegetation growing seasons. We applied a temporal change classification algorithm based on a seasonal thresholding scheme to classify daily F/T states from time series Tb measurements. The SSM/I F/T classification accuracy was assessed using in situ air temperature measurements from the global WMO weather station network. A single-channel classification of 37 GHz, V-polarization Tb time series provided generally improved performance over other SSM/I frequencies, polarizations and channel combinations. Mean annual F/T classification accuracies were 92.2 ±0.8 [SD] % and 85.0 ±0.7 [SD] % for respective SSM/I time series of P.M. and A.M. orbital nodes over the global domain and a 20-year (1988-2007) satellite record. The resulting database provides a continuous and relatively long-term record of daily F/T dynamics for the global biosphere with well-defined accuracy.
Year
DOI
Venue
2011
10.1109/TGRS.2010.2070515
IEEE T. Geoscience and Remote Sensing
Keywords
Field
DocType
temporal change classification algorithm,terrestrial carbon budget,climatology,radiometry,passive microwave remote sensing,time series measurement,surface energy budget,atmospheric techniques,earth system data record,hydrology,global data record of daily landscape freeze-thaw status,frequency 37 ghz,landscape dielectric properties,hydrological activity,hydrological techniques,special sensor microwave imager,freezing,air temperature measurement,melting,multifrequency brightness temperature measurement,atmospheric contamination effect,microwave measurement,solar illumination effect,biophysical cold temperature constraint,vegetation growing season dynamics,freeze/thaw,soil moisture active passive,biosphere,land surface temperature,making earth system data records for use in research environments,vegetation mapping,atmospheric boundary layer,soil,dual polarization brightness temperature measurement,single-channel classification,ad 1988 to 2007,time series,atmospheric temperature,seasonal thresholding scheme,land-atmosphere trace gas exchange,artificial neural network,seasonality,accuracy,air temperature,artificial neural networks,surface energy,meteorology,brightness temperature,growing season,temperature measurement,satellites,soil moisture,remote sensing,gas exchange
Microwave,Satellite,Brightness temperature,Weather station,Remote sensing,Atmospheric temperature,Radiometry,Special sensor microwave/imager,Temperature measurement,Mathematics
Journal
Volume
Issue
ISSN
49
3
0196-2892
Citations 
PageRank 
References 
23
1.56
7
Authors
4
Name
Order
Citations
PageRank
Youngwook Kim120916.43
John S. Kimball249050.16
Kyle McDonald3365.09
Joseph Glassy4443.69