THIS: next-generation infrared heterodyne spectrometer for remote sensing

Author(s):  
Daniel Wirtz ◽  
Guido Sonnabend ◽  
Rudolf Schieder
2003 ◽  
Vol 37 (3) ◽  
pp. 142-157 ◽  
Author(s):  
John D. Cunningham ◽  
Don Chambers ◽  
Curtiss O. Davis ◽  
Andrew Gerber ◽  
Rosalind Helz ◽  
...  

The next generation of U.S. polar orbiting environmental satellites, are now under development. These satellites, jointly developed by the Department of Defense (DoD), the Department of Commerce (DOC), and the National Aeronautics and Space Administration (NASA), will be known as the National Polar-orbiting Operational Environmental Satellite System (NPOESS). It is expected that the first of these satellites will be launched in 2010. NPOESS has been designed to meet the operational needs of the U.S. civilian meteorological, environmental, climatic, and space environmental remote sensing programs, and the Global Military Space and Geophysical Environmental remote sensing programs. This system, however, did not meet all the needs of the user community interested in operational oceanography (particularly in coastal regions). Beginning in the fall of 2000, the Integrated Program Office (IPO), a joint DoD, DOC, and NASA office responsible for the NPOESS development, initiated the Ocean Observer Study (OOS). The purpose of this study was to assess and recommend how best to measure the missing or inadequately sampled ocean parameters. This paper summarizes the ocean measurement requirements documented in the OOS, describes the national need to measure these parameters, and describes the satellite instrumentation required to make those measurements.


2012 ◽  
Author(s):  
Richard W. Tarde ◽  
Michael G. Dittman ◽  
Geir E. Kvaran

2019 ◽  
Vol 56 (Special Issue) ◽  
pp. 92-105
Author(s):  
Rabi N Sahoo ◽  
C Viswanathan ◽  
Gopal Krishna ◽  
Bappa Das ◽  
Swati Goel ◽  
...  

Present paper deals with different components of next generation phenomics for characterizing rice genotypes for water deficit stress. Major sensors used in the study were non-imaging hyperspectal remote sensing, thermal imaging at ground platform and RGB and multispectral imaging sensors from drone platform. Different spectral indices were evaluated along with new proposed index and different multivariate models were studied for non-invasive estimation of relative water content (RWC) and sugar content in rice plant using spectral reflectance data collected in spectral range 350 to 2500 nm. Spectral data were further used for spectral discrimination of rice genotypes. Crop water stress index derived from thermal images acquired for rice genotypes could well characterize the drought resistant and sensitive genotypes. Initial study on field phenotyping through drone remote sensing using multispectral and RGB sensor was also explored to capture differential response of genotypes, trait and heat map mapping. All developed protocols as reliable alternative to conventional methods are fast, economic and non-invasive and in use in plant phenomics centre for high throughput plant phenotyhping for water deficit stress studies.


2001 ◽  
Author(s):  
Steve Watchorn ◽  
Fred L. Roesler ◽  
John M. Harlander ◽  
Kurt P. Jaehnig ◽  
Ronald J. Reynolds ◽  
...  

Author(s):  
L.N. Phong ◽  
J. Lee ◽  
W. Zheng ◽  
T.D. Pope ◽  
C. Alain ◽  
...  

2009 ◽  
Author(s):  
Fraser Williamson ◽  
Linda Marchese ◽  
Georges Baldenberger ◽  
François Châteauneuf ◽  
Francis Provencal ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document