Remote sensing of woody shrub cover in desert grasslands using MISR with a geometric-optical canopy reflectance model

Chopping, Mark; Su, Lihong; Rango, A.; Martonchik, John V.; Peters, Debra P. C.; Laliberte, Andrea S.

doi:10.1016/j.rse.2006.04.023

Cited by 66 publications

(52 citation statements)

References 37 publications

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“…The simple geometric model (SGM), a GO model incorporating a dynamic background and a crown volume scattering term, was used (Chopping et al, 2006(Chopping et al, , 2008. It is formulated as Eq.…”

Section: Methodsmentioning

confidence: 99%

“…To estimate the brightness and shape of the background response, linear multiple regression at a number of calibration sites was used, the independent variables being the LiSparseRossThin BRDF model isotropic (iso), geometric (geo), and volume scattering (vol) kernel weights plus the blue (B), green (G), and near-infrared (NIR) BRFs from the MISR An (nadirviewing) camera (Chopping et al, 2006(Chopping et al, , 2008. The kernel weights were obtained by adjusting the LiSparse-RossThin BRDF model against MISR red band bidirectional reflectance factors (BRFs) in all nine cameras using the Algorithm for Modeling Bidirectional Reflectance Anisotropies of the Land Surface (AMBRALS) code (Strahler et al, 1996), with the objective the minimization of absolute Root Mean Square Error (RMSE).…”

Section: Methodsmentioning

confidence: 99%

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Large area mapping of southwestern forest crown cover, canopy height, and biomass using the NASA Multiangle Imaging Spectro-Radiometer

Chopping

Moisen

et al. 2008

Remote Sensing of Environment

131

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A rapid canopy reflectance model inversion experiment was performed using multi-angle reflectance data from the NASA Multi-angle Imaging Spectro-Radiometer (MISR) on the Earth Observing System Terra satellite, with the goal of obtaining measures of forest fractional crown cover, mean canopy height, and aboveground woody biomass for large parts of south-eastern Arizona and southern New Mexico (N200,000 km 2 ). MISR red band bidirectional reflectance estimates in nine views mapped to a 250 m grid were used to adjust the Simple Geometric-optical Model (SGM). The soil-understory background signal was partly decoupled a priori by developing regression relationships with the nadir camera blue, green, and nearinfrared reflectance data and the isotropic, geometric, and volume scattering kernel weights of the LiSparse-RossThin kernel-driven bidirectional reflectance distribution function (BRDF) model adjusted against MISR red band data. The SGM's mean crown radius and crown shape parameters were adjusted using the Praxis optimization algorithm, allowing retrieval of fractional crown cover and mean canopy height, and estimation of aboveground woody biomass by linear rescaling of the dot product of cover and height. Retrieved distributions of crown cover, mean canopy height, and aboveground woody biomass for forested areas showed good matches with maps from the United States Department of Agriculture (USDA) Forest Service, with R 2 values of 0.78, 0.69, and 0.81, and absolute mean errors of 0.10, 2.2 m, and 4.5 tons acre -1 (10.1 Mg ha -1 ), respectively, after filtering for high root mean square error (RMSE) on model fitting, the effects of topographic shading, and the removal of a small number of outliers. This is the first use of data from the MISR instrument to produce maps of crown cover, canopy height, and woody biomass over a large area by seeking to exploit the structural effects of canopies reflected in the observed anisotropy patterns in these explicitly multiangle data.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Large area mapping of southwestern forest crown cover, canopy height, and biomass using the NASA Multiangle Imaging Spectro-Radiometer

Chopping

Moisen

et al. 2008

Remote Sensing of Environment

131

View full text Add to dashboard Cite

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“…This allowed regression of each of the four Walthall model parameters on the six independent variables. Initial tests of this approach by modeling MISR data over a 5 km 2 area were reasonably successful (R 2 = 0.78, RMSE = 0.013, N = 3969 [Chopping et al, 2006a]). Experiments using the Compact High Resolution Imaging Spectroradiometer on the European Space Agency's Proba-1 platform produced similar results [Chopping et al, 2006b].…”

Section: Methodsmentioning

confidence: 96%

Mapping woody plant cover in desert grasslands using canopy reflectance modeling and MISR data

Chopping

Laliberte

et al. 2006

Geophysical Research Letters

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[1] A simplified geometric-optical model (SGM) was inverted using red band reflectance data acquired at 275 m in nine viewing angles from the Multiangle Imaging SpectroRadiometer (MISR) flown on NASA's Terra satellite, to provide estimates of fractional woody plant cover for large areas (over 3519 km 2 ) in parts of the Chihuahuan Desert in New Mexico, USA. The use of the model in these semi-arid environments was enabled by the derivation of a priori estimates of the soil/understory background reflectance response. This was made possible by determining relationships between the kernel weights from a LiSparse-RossThin model adjusted against the same MISR data -together with spectral reflectance data derived from MISR's nadir-viewing camera -and the parameters of the Walthall model used to represent the background. Spatial distributions of retrieved fractional woody plant cover match those of % tree cover in the global MODIS Vegetation Continuous Fields product but also include shrubs. Good relationships were obtained with fractional shrub cover measured in pastures in the USDA, ARS Jornada Experimental Range but tree cover in higher elevation and riparian zones was dramatically overestimated as a result of the fixing of crown height and shape parameters. Citation: Chopping, M. J

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“…used a eight-parameter fit from Ahmad and Deering (1992) to characterize the bidirectional reflectance distribution function (BRDF) over clear land/desert. However, a kernel-based bidirectional model has proven to be effective in modeling the surface BRDF (Lucht et al, 2000;Chopping et al, 2008). Here we adopt the reciprocal RossThick-LiSparse model (Ross-Li; Roujean et al, 1992;Li and Strahler, 1992) to develop the reflectance over clear land/desert:…”

Section: Clear Skymentioning

confidence: 99%

Next-generation angular distribution models for top-of-atmosphere radiative flux calculation from CERES instruments: methodology

et al. 2015

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Abstract. The top-of-atmosphere (TOA) radiative fluxes are critical components to advancing our understanding of the Earth's radiative energy balance, radiative effects of clouds and aerosols, and climate feedback. The Clouds and the Earth's Radiant Energy System (CERES) instruments provide broadband shortwave and longwave radiance measurements. These radiances are converted to fluxes by using scene-type-dependent angular distribution models (ADMs). This paper describes the next-generation ADMs that are developed for Terra and Aqua using all available CERES rotating azimuth plane radiance measurements. Coincident cloud and aerosol retrievals, and radiance measurements from the Moderate Resolution Imaging Spectroradiometer (MODIS), and meteorological parameters from Goddard Earth Observing System (GEOS) data assimilation version 5.4.1 are used to define scene type. CERES radiance measurements are stratified by scene type and by other parameters that are important for determining the anisotropy of the given scene type. Anisotropic factors are then defined either for discrete intervals of relevant parameters or as a continuous functions of combined parameters, depending on the scene type. Significant differences between the ADMs described in this paper and the existing ADMs are over clear-sky scene types and polar scene types. Over clear ocean, we developed a set of shortwave (SW) ADMs that explicitly account for aerosols. Over clear land, the SW ADMs are developed for every 1 • latitude × 1 • longitude region for every calendar month using a kernel-based bidirectional reflectance model. Over clear Antarctic scenes, SW ADMs are developed by accounting the effects of sastrugi on anisotropy. Over sea ice, a sea-ice brightness index is used to classify the scene type. Under cloudy conditions over all surface types, the longwave (LW) and window (WN) ADMs are developed by combining surface and cloud-top temperature, surface and cloud emissivity, cloud fraction, and precipitable water. Compared to the existing ADMs, the new ADMs change the monthly mean instantaneous fluxes by up to 5 W m −2 on a regional scale of 1 • latitude × 1 • longitude, but the flux changes are less than 0.5 W m −2 on a global scale.

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Remote sensing of woody shrub cover in desert grasslands using MISR with a geometric-optical canopy reflectance model

Cited by 66 publications

References 37 publications

Large area mapping of southwestern forest crown cover, canopy height, and biomass using the NASA Multiangle Imaging Spectro-Radiometer

Large area mapping of southwestern forest crown cover, canopy height, and biomass using the NASA Multiangle Imaging Spectro-Radiometer

Mapping woody plant cover in desert grasslands using canopy reflectance modeling and MISR data

Next-generation angular distribution models for top-of-atmosphere radiative flux calculation from CERES instruments: methodology

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