Dr. Lingmei Jiang Profile

Dr. Lingmei Jiang

at Beijing Normal Univ

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Publications (6)

SPIE Journal Paper | 19 December 2014

Validation of ice mapping system snow cover over southern China based on Landsat Enhanced Thematic Mapper Plus imagery

Xiyu Chen, Lingmei Jiang, Juntao Yang, Jinmei Pan

JARS, Vol. 8, Issue 01, 084680, (December 2014) https://doi.org/10.1117/12.10.1117/1.JRS.8.084680

KEYWORDS: Snow cover, Clouds, MODIS, Landsat, Remote sensing, Satellites, In situ metrology, Reflectivity, Satellite imaging, Earth observing sensors

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Proceedings Article | 8 November 2014 Paper

Snow cover mapping over China using FY-2 and MTSAT-2 data

Juntao Yang, Lingmei Jiang, Shuang Yan

Proceedings Volume 9260, 92603H (2014) https://doi.org/10.1117/12.2069054

KEYWORDS: Snow cover, Satellites, Imaging systems, Calibration, Clouds, Reflectivity, Infrared radiation, Associative arrays, Meteorology, Temporal resolution

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Proceedings Article | 8 November 2014 Paper

Simulation of microwave brightness temperature over heterogeneous land surface using L-MEB model in HIWATER

Shuang Yan, Lingmei Jiang, Juntao Yang, Xiaokang Kou

Proceedings Volume 9260, 92600Q (2014) https://doi.org/10.1117/12.2069374

KEYWORDS: Soil science, Polarization, Vegetation, Microwave radiation, L band, Data modeling, Calibration, Sensor networks, Dielectric polarization, Reflectivity

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Proceedings Article | 8 November 2014 Paper

A new method to inverse soil moisture based on thermal infrared and passive microwave remote sensing

Zhuang Zhou, Xiaokang Kou, Shaojie Zhao, Lingmei Jiang

Proceedings Volume 9260, 926026 (2014) https://doi.org/10.1117/12.2069373

KEYWORDS: Soil science, Microwave radiation, Thermography, Infrared radiation, Infrared sensors, Remote sensing, Microwave remote sensing, Data modeling, Temperature metrology, Thermal modeling

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SPIE Journal Paper | 3 September 2014

Soil temperature independent algorithm for estimating bare surface soil moisture

Tao Zhang, Lingmei Jiang, Tianjie Zhao, Yunqing Li, Zhongjun Zhang

JARS, Vol. 8, Issue 01, 083558, (September 2014) https://doi.org/10.1117/12.10.1117/1.JRS.8.083558

KEYWORDS: Soil science, Algorithm development, Surface roughness, Microwave radiation, Dielectric polarization, Data modeling, Temperature metrology, Databases, Polarization, Terbium

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In this study, a bare surface soil moisture retrieval algorithm independent of the soil temperature is developed for use with advanced microwave scanning radiometer-Earth observing system measurements. The quasiemissivity is parameterized as the ratio of the brightness temperature in the other channels to that in the 36.5 GHz vertical (V-) polarization in order to correct the soil temperature effects in the estimation of soil moisture. To analyze the surface roughness effect on quasiemissivity, a simulation database covering a large range of soil properties is generated. The advanced integral equation model (AIEM) is used to simulate the soil emissivities at different frequencies. The parameters describing the soil roughness effect on quasiemissivity at two polarizations are found to be expressed by a linear function. Using this relationship and the quasiemissivity at two polarizations, the surface roughness effect is minimized in the estimation of the soil moisture. Thus, soil moisture can be estimated using the brightness temperatures at a given frequency in the V- and horizontal (H-) polarizations and at 36.5 GHz of V-polarization. Compared with the data simulated using AIEM, the algorithm has a root-mean-square error (RMSE) of approximately 0.009 cm3/cm3 for the volumetric soil moisture. For validation, a controlled field experiment is conducted using a truck-mounted multifrequency microwave radiometer. Moreover, the experimental data acquired from the Institute National de Recherches Agronomiques (INRA) field experiment are also used to evaluate the accuracy of the algorithm. The RMSE is approximately 0.04 cm3/cm3 for these two experimental data. In order to analyze the performance or capability of this algorithm using satellite data, the soil moisture derived from WindSat data using this algorithm is compared to the Murrumbidgee soil moisture monitoring network dataset. These results indicate that the newly developed inversion technique has an acceptable accuracy and is expected to be useful for application for bare surface soil moisture estimation.

Proceedings Article | 29 December 2008 Paper

Global simulation of microwave brightness temperature based on satellite observation

Xiuli Fu, Ying Guo, Lingmei Jiang

Proceedings Volume 7285, 72855A (2008) https://doi.org/10.1117/12.815716

KEYWORDS: Microwave radiation, Radiative transfer, Satellites, Scattering, Soil science, Data modeling, Earth observing sensors, Vegetation, Atmospheric modeling, Interfaces

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