%0 Journal Article %1 journals/ijgi/WangZH18 %A Wang, Juanle %A Zhu, Junxiang %A Han, Xuehua %D 2018 %J ISPRS Int. J. Geo Inf. %K dblp %N 1 %P 13 %T 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. %U http://dblp.uni-trier.de/db/journals/ijgi/ijgi7.html#WangZH18 %V 7

@article{journals/ijgi/WangZH18, added-at = {2020-08-25T00:00:00.000+0200}, author = {Wang, Juanle and Zhu, Junxiang and Han, Xuehua}, biburl = {https://www.bibsonomy.org/bibtex/2ff0669543129271ca2eea88a2ecee5e6/dblp}, ee = {https://doi.org/10.3390/ijgi7010013}, interhash = {23ed178f058115234e7a23cb21282c1d}, intrahash = {ff0669543129271ca2eea88a2ecee5e6}, journal = {ISPRS Int. J. Geo Inf.}, keywords = {dblp}, number = 1, pages = 13, timestamp = {2020-08-28T18:07:47.000+0200}, title = {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.}, url = {http://dblp.uni-trier.de/db/journals/ijgi/ijgi7.html#WangZH18}, volume = 7, year = 2018 }