Modeling Directional Brightness Temperature Over Mixed Scenes of Continuous Crop and Road: A Case Study of the Heihe River Basin

A new geometric optical model is proposed in this letter to simulate the directional brightness temperature (DBT) distribution over mixed scenes of continuous crop and road. The DBT distributions of the crop and road zones are separately calculated, and the road zone consists of a road and adjacent crop sides. A road distribution polar map is designed to show all of the roads of different lengths, widths, and orientations in the scene. The airborne multiangle data set of the thermal infrared band that was acquired during the Heihe Watershed Allied Telemetry Experimental Research experiment is used for validation. The results demonstrate that the proposed model can simulate the DBT of a heterogeneous scene (90 × 90 m2) with a root-mean-square error equal to 1.1 K and good trend similarity.

[1]  Qiang Liu,et al.  Modeling Directional Brightness Temperature of the Winter Wheat Canopy at the Ear Stage , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[2]  Qing Xiao,et al.  Unified Optical-Thermal Four-Stream Radiative Transfer Theory for Homogeneous Vegetation Canopies , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[3]  Wenhan Qin,et al.  Validating theoretical simulations of thermal emission hot spot effects on maize canopies , 2012 .

[4]  Wenjie Fan,et al.  A unified canopy bidirectional reflectance (BRDF) model for row ceops , 2012, Science China Earth Sciences.

[5]  D. S. Kimes,et al.  Remote sensing of row crop structure and component temperatures using directional radiometric temperatures and inversion techniques , 1983 .

[6]  Qing Xiao,et al.  Heihe Watershed Allied Telemetry Experimental Research (HiWATER): Scientific Objectives and Experimental Design , 2013 .

[7]  Guangjian Yan,et al.  Impact of sensor footprint on measurement of directional brightness temperature of row crop canopies , 2013 .

[8]  Chen Liang The Thermal Radiant Directionality of Continuous Vegetation , 2001 .

[9]  José A. Sobrino,et al.  Satellite-derived land surface temperature: Current status and perspectives , 2013 .

[10]  Jean-Pierre Lagouarde,et al.  Modelling Daytime Thermal Infrared Directional Anisotropy over Toulouse City Centre , 2010 .

[11]  Yongming Du,et al.  Evaluation of the VIIRS and MODIS LST products in an arid area of Northwest China , 2014 .

[12]  José A. Sobrino,et al.  Angular variation of thermal infrared emissivity for some natural surfaces from experimental measurements. , 1999, Applied optics.

[13]  Martha C. Anderson,et al.  A thermal-based remote sensing technique for routine mapping of land-surface carbon, water and energy fluxes from field to regional scales , 2008 .