A high-accuracy method for filling voids on remotely sensed XCO2 surfaces and its verification

“…Tests show that the modified HASM can simulate the surface with high accuracy independently and the parallel version makes it possible to solve large area and high-resolution simulation. Since HASM is not only used in DEM construction but also widely used in other ecology fields (Zhao et al 2014b;Yue et al 2014), and lower simulation efficiency also creates problems in these other applications, it makes sense for subsequent work to focus on parallel algorithm research for the sparse sample point problem. …”

Section: Resultsmentioning

confidence: 99%

Parallel algorithm of a modified surface modeling method and its application in digital elevation model construction

et al. 2015

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High accuracy surface modeling (HASM) has been proved to be a superior method for surface simulation compared to classical interpolation methods. However, the fact that HASM is time consuming combined with its dependence on its driving field restricts its application in large area problems. This research develops a modified HASM which can get rid of the driving field in the surface simulation, and the parallel version of the modified HASM is also proposed with the purpose of improving its computational efficiency. Light detection and ranging (LIDAR) data are used as an optimum constraint to construct digital elevation model (DEM). Tests show that the modified HASM can perform surface simulation successfully without the driving field. And it also shows that the simulation accuracy of the modified HASM is almost the same as the old HASM and the classical interpolation methods when the sampling rate is larger than 0.5 %, while the modified HASM shows significantly increased simulation accuracy as the sampling rate decreases. This characteristic indicates that the modified HASM no longer relies on the driving field in the surface simulation. And it also improves the simulation accuracy compared to the old HASM and the classical interpolation methods. Tests of parallel efficiency show that the masterslave mode used in the parallel algorithm obtains a satisfactory result, indicating that the HASM can be applied to surface simulation of large area problems. And it also shows that the modified HASM would have great potential where applied in high-resolution DEM and digital surface model (DSM) construction from LIDAR data.

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“…HASM has been successfully applied to simulating surfaces of climate change (Yue et al 2013a, b;Zhao and Yue 2014;Zhao et al 2015), elevation (Yue et al 2007(Yue et al , 2010a(Yue et al , b, 2012Yue and Wang 2010), soil properties (Shi et al 2009(Shi et al , 2011 and the column-averaged dry airmole fraction of CO 2 (XCO 2 ) (Yue et al 2015c) as well as to modelling ecosystem responses to climatic change (Yue et al 2015b).…”

Section: Methodsmentioning

confidence: 99%

A fundamental theorem of Earth’s surface modelling

et al. 2016

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Ground observation is able to obtain highly accurate data with high temporal resolution at observation points, but these observation points are too sparse to satisfy some application requirements. Satellite remote sensing and system models can frequently supply spatially continuous information about the Earth's surface, which is impossible from ground-based investigations, but remote sensing description and system model simulation are not able to directly obtain process parameters. The most effective method for Earth surface modelling entails the integration of satellite observations or system models with ground observations. However, the full integration was ignored in most of the methods. For finding a solution for this problem, we suggest an alternative method, high accuracy surface modeling (HASM), which takes global approximate information (e.g., remote sensing images or model simulation results) as its driving field and local accurate information (e.g., ground observation data and/or sampling data) as its optimum control constraints. HASM completes its operation when its output satisfies the iteration stopping criterion which is determined by application requirement for accuracy. A Fundamental Theorem of Earth Surface Modelling (FTESM) is abstracted on the basis of applying HASM to simulating surfaces of elevation, soil properties, changes of ecosystem services, and driving forces of the changes on multi-scales for about 20 years. FTESM is described as ''an Earth's surface system or a component surface of the Earth's surface environment can be simulated with HASM when its spatial resolution is fine enough, which is uniquely defined by both extrinsic and intrinsic invariants of the surface''. From FTESM, seven corollaries have been deduced, corresponding to interpolation, upsaling, downscaling, data fusion and data assimilation respectively.

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A high-accuracy method for filling voids on remotely sensed XCO2 surfaces and its verification

Cited by 27 publications

References 35 publications

Surface modeling of soil antibiotics

Surface modeling of soil antibiotics

Parallel algorithm of a modified surface modeling method and its application in digital elevation model construction

A fundamental theorem of Earth’s surface modelling

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