DocumentCode :
2141978
Title :
Error estimation in the acquisition of maize canopy hemispherical directional brightness temperature
Author :
Gu, XingFa ; Hanocq, Jean-Francois ; Marloie, Olivier ; Bruguier, Nadine ; Bosseno, Roland ; Yu, Tao ; Tian, Guoliang ; He, JianFeng ; Li, Xiaoying ; Legrand, Michel
Author_Institution :
CSE, INRA, Avignon
Volume :
6
fYear :
2004
fDate :
20-24 Sept. 2004
Firstpage :
4314
Abstract :
A field experiment has been performed from May to August in 1999 over a maize canopy at INRA Avignon branch in south France. Directional brightness temperature (DBT) features were extracted from thermal infrared (TIR) images captured by a TIR camera mounted upon a crane platform. Different from the method with a goniometer, another approach based on the different principles has been developed that the camera can view different part of the field to collect DBT of different angles by means of rotating to different directions instead of moving the camera to make it always focus on a defined sample area. After the description of the measurement method, the evaluation of data acquisition is presented, where the quality and limits of this measurement method are discussed. In this study, a compromise is made in sampling design based on the analysis of canopy heterogeneity and FOV effect. An example of acquiring hemispherical DBT under natural conditions was given at last. In the analysis of the measurement at 13:10 of local time on June 24, 1999, the results showed the spatial heterogeneity of field thermal radiance played as the most important role. Using the new sampling method, the total error for acquiring hemispherical DBT was about 1.4degC in maximum with 95% confidence, when the amplitude of directional variation was larger than 7degC. The errors changed with measurement conditions, which made it different for each measurement
Keywords :
atmospheric boundary layer; atmospheric temperature; data acquisition; geophysical techniques; infrared imaging; land surface temperature; AD 1999 05 to 08; FOV effect; INRA Avignon branch; TIR camera; canopy heterogeneity; data acquisition; data processing; error estimation; field thermal radiance; hemispherical directional brightness temperature; maize canopy; south France; temperature acquisition; thermal infrared images; Brightness temperature; Cameras; Cranes; Data acquisition; Error analysis; Feature extraction; Goniometers; Infrared imaging; Sampling methods; Time measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
Type :
conf
DOI :
10.1109/IGARSS.2004.1370091
Filename :
1370091
Link To Document :
بازگشت