Using Monte Carlo simulation to improve the performance of semivariograms for choosing the remote sensing imagery resolution for natural resource surveys: Case study on three counties in East, Central, and West China
MetadataShow full item record
© 2018 by the author. Semivariograms have been widely used in research to obtain optimal resolutions for ground features. To obtain the semivariogram curve and its attributes (range and sill), parameters including sample size (SS), maximum distance (MD), and group number (GN) have to be defined, as well as a mathematic model for fitting the curve. However, a clear guide on parameter setting and model selection is currently not available. In this study, a Monte Carlo simulation-based approach (MCS) is proposed to enhance the performance of semivariograms by optimizing the parameters, and case studies in three regions are conducted to determine the optimal resolution for natural resource surveys. Those parameters are optimized one by one through several rounds of MCS. The result shows that exponential model is better than sphere model; sample size has a positive relationship with R2, while the group number has a negative one; increasing the simulation number could improve the accuracy of estimation; and eventually the optimized parameters improved the performance of semivariogram. In case study, the average sizes for three general ground features (grassland, farmland, and forest) of three counties (Ansai, Changdu, and Taihe) in different geophysical locations of China were acquired and compared, and imagery with an appropriate resolution is recommended. The results show that the ground feature sizes acquired by means of MCS and optimized parameters in this study match well with real land cover patterns.
Showing items related by title, author, creator and subject.
Pratapa, Suminar (2003)Crystallite (or grain) size and strain within a polycrystalline material may have a profound influence on its physical properties, eg. the fracture toughness, wear and thermal shock resistance. A diffraction pattern for ...
Consumer preferences for mobile phone service in the U.S.: an application of efficient design on conjoint analysisDippon, Christian M. (2011)The wide commercial success of certain mobile phones, such as Apple‘s iPhone and RIM‘s Blackberry, was the motivation behind this study to examine empirically what drives the demand for mobile service bundles. If casual ...
Sarukkalige, Priyantha (2012)This study analyzed groundwater quality in Western Australia using geostatistical tools based on kriging interpolation technique. Four semi-variogram models were tested and out of the four semi-variogram models, exponential ...