Sensor calibration and characterization relies on models, measurements, and analysis to provide the needed data to derive results. Coupled with the models, measurements and analysis are estimates of errors and uncertainties that show how well the results are understood.

Session Chair: David Pollock, University of Alabama in Huntsville

Schedule
2014
Wednesday, August 13th
2:55 PM

A Method Suitable for In-Flight Calibration of a UAV Hyperspectral Remote Sensor

Haiwei Li, Institute of Remote Sensing (RADI), Chinese Academy of Sciences (CAS)
Hao Zhang, Institute of Remote Sensing (RADI), Chinese Academy of Sciences (CAS)
Zhengchao Chen, Institute of Remote Sensing (RADI), Chinese Academy of Sciences (CAS)

2:55 PM
3:20 PM

Bidirectional Reflectance Distribution Function (BRDF) of Deep Convective Clouds (DCC) Derived from PARASOL Measurements and Compared to Radiative Transfer Computation and Model

Bertrand Fougnie, Centre National d’Etudes Spatiales (CNES)
David Doelling, NASA Langley Research Center
Audrey Crespin, CS-SI
Bruno Lafrance, CS-SI
Laurent Labonnote, Laboratoire d' Optique Atmosphérique (LOA)

3:20 PM
3:45 PM

Improved Algorithm for Water Vapor Retrieval and Field Calibration in the Channell 940-nm of Sun-photometer

Hao Zhang, Institute of Remote Sensing and Digital Earth (RAD), Chinese Academy of Sciences
Zhengchao Chen, Institute of Remote Sensing and Digital Earth (RAD), Chinese Academy of Sciences
Bing Zhang, Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences (CAS)
Changyun Chen, First Crustal Monitoring and Application Center, China Earthquake Administration

3:45 PM
4:10 PM

Improved Formulas for Synchrotron Radiation

Eric L. Shirley, National Institute of Standards and Technology

4:10 PM