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Parameterzing a multi-angular model of L-band microwave emissions from corn using matrix doubling algorithm

  • role： First author第一作者
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Research Center for Remote Sensing and GIS, and School of Geography, Beijing Normal University, Beijing 100875, China

  • Email：zhangqiangis@126.com
  • Introduction：张谦(1991—　)，男，硕士研究生， 研究方向为植被被动微波遥感。E-mail：zhangqiangis@126.com
ZHANG Qian1,  
  • role： Corresponding author通信作者
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Research Center for Remote Sensing and GIS, and School of Geography, Beijing Normal University, Beijing 100875, China

  • Email：chai@bnu.edu.cn
  • Introduction：柴琳娜(1980—　)，女，讲师，研究方向为植被被动微波遥感。E-mail：chai@bnu.edu.cn
CHAI Linna1*,  
  • Affiliation：

    Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, State Key Laboratory of Remote Sensing Science, Beijing 100101, China

SHI Jiancheng2

Resümee

Matrix Doubling (MD) algorithm is an analytical solution for radiation transfer equation. MD presents relative accuracy in simulating the vegetation canopy microwave signals because the algorithm considers the multi-scattering effects. However, MD is difficult to apply in retrieving work because of its complexity. In this regard, the development of a microwave vegetation emission model, which not only takes a simple form but also considers volume scattering, is of considerable interest.In this study, we present a parameterized multi-angular model of L-band microwave emission from corn. The model is derived using the MD algorithm. First, we validated the theoretical MD algorithm with in situ data obtained from the field experiment conducted in Huailai. A good agreement with experimental data lays a solid foundation for parameterization work. To start, we simulated the corn terrain emissions in both V and H polarization at 1.4 GHz by using the theoretical MD algorithm. The incident angles were set from 5°to 59° with 2° intervals in each band. The simulations covered a broad range of corn canopy and soil dielectric. Finally, the parameterized model related the total emissivity to the optical depth of the corn and the emissivity of ground. Moreover, this model provides a series of coefficients at different incident angles. The functions between the coefficient and incident angles were provided to determine the form of the model when the angle was set.The differences between the parameterized model and the theoretical model are minimal and have RMSE in the 10–3 range of the L-band. We also validated the parameterized model using airborne PLMR observations. The simulation error in three nonconsecutive days (June 7, June 26 and August 2) is within 10000 overall. This finding shows that the parameterization model is successful in the simulation of L-band microwave emissions from corn.The parameterization model not only presents a simple form but also exhibits high accuracy by including volume scattering. Moreover, unlike other semi-empirical models, the input of the parameterization model possesses physical meaning and is not based on prior knowledge. Therefore, the parameterization model is of significant importance in retrieval work. Meanwhile, the capability to simulate corn emission from the L-band at a broad angle range improves the possibility for model applications to data from satellite. However, owing to the coarse resolution of passive microwave remote sensing, the parameterization model requires further improvement to achieve universal applicability particularly in highly heterogeneous land surfaces.

Schlüsselwort

passive microwave;Matrix Doubling (MD);L-band;multi-angular;parameterization;corn

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