Yongming Du

State Key Laboratory of Remote Sensing Science

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Qinhuo Liu

Chinese Academy of Sciences

Biao Cao

Aerospace Information Research Institute

Heshun Wang

Earth System Science Interdisciplinary Center

Hua Li

China Southern Power Grid (China)

Qing Xiao

Aerospace Information Research Institute

Hua Li

Guangdong Institute for Drug Control

Li Li

Ministry of Agriculture and Rural Affairs

Qin Xiao

Hunan University

Jie Zou

Guangzhou University

Jing Li

Peking University

Cooperative Institutions

Chinese Academy of Sciences

State Key Laboratory of Remote Sensing Science

Aerospace Information Research Institute

University of Chinese Academy of Sciences

Institute of Remote Sensing and Digital Earth

Beijing Normal University

Minzu University of China

Nanjing University of Information Science and Technology

University of Electronic Science and Technology of China

Yunnan University

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Comparison of Five Slope Correction Methods for Leaf Area Index Estimation From Hemispherical Photography

IEEE Geoscience and Remote Sensing Letters (2015)

Biao Cao Yongming Du Jing Li Hua Li Li Li

We compare five slope correction methods developed by Walter et al., Montes et al., Schleppi et al., España et al., and Gonsamo et al. (referred to as WAL, MON, SCH, ESP, and GON, respectively) using artificial fisheye pictures simulated by graphics software and a lookup table (LUT) retrieval method. The LUT is built by simulating the directional gap fraction as a function of leaf area index (LAI) and average leaf inclination angle (ALIA) using the Poisson law. LAI and ALIA estimates correspond to the case of the LUT that provides the lowest root-mean-square error between the observed gap fractions after slope correction and the simulated ones. Three LAI values (1.5, 3.5, and 5.5), four ALIA values (26.8°, 45°, 57.5°, and 63.2°), and three slope angles (0°, 20°, and 50°) constituted 36 samples of random scenes. ESP is recommended because its results are accurate and independent on the leaf angle distribution (LAD), while GON only performs well for spherical LAD. The three other methods present less good performances with underestimation or overestimation of LAI and/or ALIA depending on the LAD, and the recommended order for them is MON, SCH, and WAL.

Lookup table

10.1109/lgrs.2015.2440438

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Investigating the Impact of Soil Moisture on Thermal Infrared Emissivity Using ASTER Data

IEEE Geoscience and Remote Sensing Letters (2014)

Heshun Wang Qing Xiao Hua Li Yongming Du Qinhuo Liu

This study investigates the effects of soil moisture (SM) on land surface emissivity (LSE) using the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) LSE data acquired in Heihe Watershed Allied Telemetry Experimental Research (HiWATER). Three bare surface sites with automatic meteorological stations that collected long-term SM data were chosen to evaluate the SM impact. The ASTER LSE retrieval was performed using the water vapor scaling method to improve the atmospheric correction results, and the validation results indicate that the emissivity uncertainties are better than 1%. The multitemporal LSE data reveal that there is an increase in the emissivity with increasing SM. A logarithmic linear relationship was established to describe the broadband emissivity dependence with SM over each site, with determination coefficients of 0.9429, 0.7705, and 0.4603. The modeled values calculated using coefficients derived in previous studies for samples with similar compositions yielded good agreements with ASTER broadband emissivities over two sites. The empirical model also shows that the diurnal variation in emissivity, particularly over one site, is so significant that it should not be neglected.

Radiometry

10.1109/lgrs.2014.2336912

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

IEEE Geoscience and Remote Sensing Letters (2014)

Biao Cao Qinhuo Liu Yongming Du Hua Li Heshun Wang

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

$(90\times 90\ \hbox{m}^{2})$

with a root-mean-square error equal to 1.1 K and good trend similarity.

10.1109/lgrs.2014.2333874

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Citations (20)