Retrieving photometric properties of desert surfaces in China using the Hapke model and MISR data

Wu, Yunzhao; Gong, Ping; Liu, Qiang; Chappell, Adrian

doi:10.1016/j.rse.2008.09.006

Cited by 36 publications

(27 citation statements)

References 38 publications

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“…As these are closer to 90 • than to the principal plane, this limits our ability to detect any effect the sand dunes might have. A study by Wu et al (2009) found that the presence of sand dunes in the Taklamakan Desert in China altered the MISR red band reflectance shape compared to a nearby dune-free area. However, when we applied the above approach to this same area (77-88 • E, 36-41 • N) we found positive correlations between the standard score for all cameras.…”

Section: Methodsmentioning

confidence: 99%

Accounting for the effects of sastrugi in the CERES clear-sky Antarctic shortwave angular distribution models

Corbett

2015

Atmos. Meas. Tech.

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Abstract. The Cloud and the Earth's Radiant Energy System (CERES) instruments on NASA's Terra, Aqua and Soumi NPP satellites are used to provide a long-term measurement of Earth's energy budget. To accomplish this, the radiances measured by the instruments must be inverted to fluxes by the use of a scene-type-dependent angular distribution model (ADM). For permanent snow scenes over Antarctica, shortwave (SW) ADMs are created by compositing radiance measurements over the full viewing zenith and azimuth range. However, the presence of small-scale wind blown roughness features called sastrugi cause the BRDF (bidirectional reflectance distribution function) of the snow to vary significantly based upon the solar azimuth angle and location. This can result in monthly regional biases between −12 and 7.5 Wm −2 in the inverted TOA (top-of-atmosphere) SW flux. The bias is assessed by comparing the CERES shortwave fluxes derived from nadir observations with those from all viewing zenith angles, as the sastrugi affect fluxes inverted from the oblique viewing angles more than for the nadir viewing angles. In this paper we further describe the clearsky Antarctic ADMs from Su et al. (2015). These ADMs account for the sastrugi effect by using measurements from the Multi-Angle Imaging Spectro-Radiometer (MISR) instrument to derive statistical relationships between radiance from different viewing angles. We show here that these ADMs reduce the bias and artifacts in the CERES SW flux caused by sastrugi, both locally and Antarctic-wide. The regional monthly biases from sastrugi are reduced to between −5 and 7 Wm −2 , and the monthly-mean biases over Antarctica are reduced by up to 0.64 Wm −2 , a decrease of 74 %. These improved ADMs are used as part of the Edition 4 CERES SSF (Single Scanner Footprint) data.

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Section: Methodsmentioning

confidence: 99%

Accounting for the effects of sastrugi in the CERES clear-sky Antarctic shortwave angular distribution models

Corbett

2015

Atmos. Meas. Tech.

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“…The Hapke model is a widely-used soil bi-directional reflectance model (Verhoef and Hapke, 2007;Wu et al, 2009). The model considers that the horizontal surface (z = 0) contains irregular soil particles with surfaces facing random directions and that the particle size is larger than the wavelength.…”

Section: Soil Brdf Model and Its Extensionmentioning

confidence: 99%

“…They claimed the new models, including the SOILSPECT model developed by Jaquemoud et al (1992), were more accurate than the Hapke model. Regarding model application, Chappell et al (2006) used the Hapke model for the directional modeling of soil radiation with heavy rain and wind erosion; Wu et al (2009) combined the Hapke model with MISR data to conduct a comparative analysis on the model parameters of different sandy land types in China's western desert areas, proving the model's good accuracy. In addition, Cooper et al (1985) used the Monte Carlo Computing Strategy to simulate soil surface radiation properties and found that a great number of calculations and probability statistics were necessary to obtain a stable pattern and that great uncertainties existed in the model parameter solution.…”

Section: Introductionmentioning

confidence: 99%

Extension of the Hapke bidirectional reflectance model to retrieve soil water content

Yang

Zhao

Huang

et al. 2011

Hydrol. Earth Syst. Sci.

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Abstract. Soil moisture links the hydrologic cycle and the energy budget of land surfaces by regulating latent heat fluxes. An accurate assessment of the spatial and temporal variation of soil moisture is important to the study of surface biogeophysical processes. Although remote sensing has proven to be one of the most powerful tools for obtaining land surface parameters, no effective methodology yet exists for in situ soil moisture measurement based on a Bidirectional Reflectance Distribution Function (BRDF) model, such as the Hapke model. To retrieve and analyze soil moisture, this study applied the soil water parametric (SWAP)-Hapke model, which introduced the equivalent water thickness of soil, to ground multi-angular and hyperspectral observations coupled with, Powell-Ant Colony Algorithm methods. The inverted soil moisture data resulting from our method coincided with in situ measurements (R 2 = 0.867, RMSE = 0.813) based on three selected bands (672 nm, 866 nm, 2209 nm). It proved that the extended Hapke model can be used to estimate soil moisture with high accuracy based on the field multi-angle and multispectral remote sensing data.

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“…For example, some initial values gave solutions with large RMSEs whilst some did not converge to a solution. Our results showed that interpretation of the photometric parameter values is highly dependent on the careful determination of the initial value [42]. The parameter constraints, definition of a physically meaningful value, and use of the smallest RMSE ensured that we acquired parameter values that were meaningful [43,44].…”

Section: Inversion Of Asymmetry Factormentioning

confidence: 82%

Inversion of the asymmetry factor for desert areas of China

Liu

2010

Sci. China Earth Sci.

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Deserts, which have high surface albedo and wide area, are important components of the earth system. It is very important for the research of surface radiation and energy balance to understand the anisotropic scattering of desert areas. The emergence and development of multi-angle remote sensing made possible the inversion of the anisotropic scattering of desert areas at the regional or global scale. Firstly, this paper explored the accuracy of the inversion of asymmetry factor using the Hapke model and the simulated single-and multi-phase MISR data. Based on the results, the asymmetry factor of representative surface of desert areas in northwestern China was retrieved. The values of the asymmetry factor retrieved from MISR data were compared with the values retrieved from the laboratory data. The results showed that the single-phase MISR data could be used for the inversion of asymmetry parameter of desert areas. The sign of the asymmetry parameter for the laboratory measurements was positive, which suggests that the surface of laboratory samples is forward scattering. The sign of the asymmetry parameter for MISR data was negative; that is, it is backscattering. The values of the asymmetry parameters retrieved from MISR data were related to the character of the land surface. At Loulan, where the surface was smoother than other sites, retrieved values exhibited the largest negative values of asymmetry factor, suggesting the strongest backscattering. The sand dune area of the Kumtag Desert, which has the greatest roughness, had only slightly negative asymmetry factor values. These findings indicated that at the sensor scale, a rough surface (e.g., dunes) does not necessarily mean more backscattering than a smooth surface. This finding has significant implications for empirical methods (e.g., using the normalized index of backward-scattered radiance minus forward-scattered radiance as an indicator of surface roughness), which should be used carefully for analyzing surface roughness from the remote sensing data. MISR, Hapke model, asymmetry parameter, inversion, Kumtag Desert, multi-angle remote sensing Citation:Deserts of the world have high surface albedo and wide area. Moreover, deserts affect global surface radiation and energy balance by means of the emission of mineral materials to the atmosphere and ocean. Hence, deserts play an important role in the evolution of the earth system [1][2][3][4]. The surface scattering of the desert areas is anisotropic. Numerous researches for anisotropic reflection of the desert and soils have been done due to its importance [5][6][7][8][9][10][11][12][13][14]. Irons and Nolin reviewed the research progress from the view of laboratory, field, and remote sensing [15,16]. Currently there are four kinds of models describing the bidirectional reflectance distribution function (BRDF): radiative transfer model [17][18][19][20][21], geometric optical model [22][23][24], computer simulation model [25], and empirical model [26]. The bidirectional reflectance model derived by Hapke rela...

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Retrieving photometric properties of desert surfaces in China using the Hapke model and MISR data

Cited by 36 publications

References 38 publications

Accounting for the effects of sastrugi in the CERES clear-sky Antarctic shortwave angular distribution models

Accounting for the effects of sastrugi in the CERES clear-sky Antarctic shortwave angular distribution models

Extension of the Hapke bidirectional reflectance model to retrieve soil water content

Inversion of the asymmetry factor for desert areas of China

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