Data processing: structural design – modeling – simulation – and em – Simulating nonelectrical device or system
Reexamination Certificate
2008-07-20
2011-11-22
Shah, Kamini S (Department: 2128)
Data processing: structural design, modeling, simulation, and em
Simulating nonelectrical device or system
C703S002000, C702S005000
Reexamination Certificate
active
08065124
ABSTRACT:
A method for irrigating terrain comprising the following steps: generating field surface relative elevation data set using Monte-Carlo simulation; adjusting the simulation data set to ensure it falls in a reasonable numerical range; adjusting the data set to establish certain spatial dependence using Kriging interpolation method; and making further statistical characteristics parameter modification to the data set, so that the final corrected field surface relative elevation data shares the same or similar statistics characteristics parameters as the initial simulation. The method factors in both the randomness and spatial dependence of the field relative elevation distribution, which brings the simulation result closer to the actual micro-topography.
REFERENCES:
patent: 2001/0004726 (2001-06-01), Lambrecht
Holmes et al. “Error in a USGS 30-meter digital elevation model and its impact on terrain modeling”, 2000, Journal of Hydrology 233, pp. 154-173.
Freeman et al. “Evaluating Krigin as a Tool to Improve Moderate Resolution Maps of Forest Biomass”, Oct. 21, 2006, Environ Monit Assess 128, pp. 395-410.
“The Standard Deviation and the Distribution of Data Values”, May 5, 2004, 3 pages, accessed at http://www.pages.drexel.edu/˜tpm23/.../EmpiricalTchebysheff.pdf.
Hengl et al. “Reduction of errors in digital terrain parameters used in soil-landscape modelling”, 2004, International Journal of Applied Earth Observation and Geoinformation 5, pp. 97-112.
Bai Meijian
Li Fuxiang
Li Yinong
Xu Di
Zhang Shaohui
China Institute of Water Resources and Hydropower Research
Lo Suzanne
Matthias Scholl P.C.
Scholl Matthias
Shah Kamini S
LandOfFree
Method for predicting micro-topographic distribution of terrain does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method for predicting micro-topographic distribution of terrain, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method for predicting micro-topographic distribution of terrain will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4301015