NDLI: Modeling directional brightness temperature over a maize canopy in row structure

Content Provider	IEEE Xplore Digital Library
Author	Tao Yu Guoliang Tian Yonghong LV Legrand, M. Xingfa Gu Hanocq, J.-F. Bosseno, R.
Copyright Year	2003
Description	Author affiliation: LARSIS, IRSA, Beijing, China (Tao Yu; Guoliang Tian; Yonghong LV)
Abstract	A modeling study on the variations of directional brightness temperature (DBT) for row-structure crops was carried out with the help of the images captured by a large aperture thermal infrared camera over a maize canopy. The model assumes that the DBT is a function of component brightness temperatures and their directional fractions. The canopy has three brightness temperature components: sunlit soil, shaded soil and vegetation, each component has a unique temperature value. Component fractions in the scene of view depend on sun-view geometry and the distributions of gaps within and between plant rows. To describe canopy geometrical features, a system of porous hedgerows with rectangle cross-section has been used; the directional variations of gap fraction are described by Nilson function. The model demonstrates directional variations of DBT as a function of sun-viewing geometry and canopy geometrical structure as well as component brightness temperatures. In the simulation of DBT over a middle dense canopy near the noontime, the results reveal an evident row-direction-oriented hot stripe in the DBT polar map, where appeared the hot spot along the sun direction. The sensitivities of the model to the input parameters have been tested. Further validation analysis has also been conducted which demonstrates modeled DBT agreeing closely with field observations.
Starting Page	3308
Ending Page	3310
File Size	1436709
Page Count	3
File Format	PDF
ISBN	0780379292
DOI	10.1109/IGARSS.2003.1294765
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-07-21
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Brightness temperature Soil Geometry Crops Apertures Infrared imaging Cameras Vegetation mapping Layout Solid modeling
Content Type	Text
Resource Type	Article

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