FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2987573088> ?p ?o ?g. }

• W2987573088 endingPage "2319" @default.
• W2987573088 startingPage "2319" @default.
• W2987573088 abstract "Soil erosion is a serious problem affecting numerous countries, especially, gully erosion. In the current research, GIS techniques and MARS (Multivariate Adaptive Regression Splines) algorithm were considered to evaluate gully erosion susceptibility mapping among others. The study was conducted in a specific section of the Gorganroud Watershed in Golestan Province (Northern Iran), covering 2142.64 km2 which is intensely influenced by gully erosion. First, Google Earth images, field surveys, and national reports were used to provide a gully-hedcut evaluation map consisting of 307 gully-hedcut points. Eighteen gully erosion conditioning factors including significant geoenvironmental and morphometric variables were selected as predictors. To model sensitivity of gully erosion, Multivariate Adaptive Regression Splines (MARS) was used while the Area Under the Receiver Operating Characteristic (ROC) Curve (AUC), drawing ROC curves, efficiency percent, Yuden index, and kappa were used to evaluate model efficiency. We used two different scenarios of the combination of the number of replications, and sample size, including 90%/10% and 80%/20% with 10 replications, and 70%/30% with five, 10, and 15 replications for preparing gully erosion susceptibility mapping (GESM). Each one involves a various subset of both positive (presence), and negative (absence) cases. Absences were extracted as randomly distributed individual cells. Therefore, the predictive competency of the gully erosion susceptibility model and the robustness of the procedure were evaluated through these datasets. Results did not show considerable variation in the accuracy of the model, with altering the percentage of calibration to validation samples and number of model replications. Given the accuracy, the MARS algorithm performed excellently in predictive performance. The combination of 80%/20% using all statistical measures including SST (0.88), SPF (0.83), E (0.79), Kappa (0.58), Robustness (0.01), and AUC (0.84) had the highest performance compared to the other combinations. Consequently, it was found that the performance of MARS for modelling gully erosion susceptibility is quite consistent while changes in the testing and validation specimens are executed. The intense acceptable prediction capability of the MARS model verifies the reliability of the method employed for use of this model elsewhere and gully erosion studies since they are qualified to quickly generating precise and exact GESMs (gully erosion sensitivity maps) to make decisions and management edaphic and hydrologic features." @default.
• W2987573088 created "2019-11-22" @default.
• W2987573088 creator A5006705342 @default.
• W2987573088 creator A5020616369 @default.
• W2987573088 creator A5040784215 @default.
• W2987573088 creator A5080111561 @default.
• W2987573088 creator A5088130162 @default.
• W2987573088 date "2019-11-06" @default.
• W2987573088 modified "2023-10-13" @default.
• W2987573088 title "Gully Erosion Susceptibility Mapping Using Multivariate Adaptive Regression Splines—Replications and Sample Size Scenarios" @default.
• W2987573088 cites W1071888377 @default.
• W2987573088 cites W1551955680 @default.
• W2987573088 cites W1954158776 @default.
• W2987573088 cites W1964130720 @default.
• W2987573088 cites W1968473240 @default.
• W2987573088 cites W1970496912 @default.
• W2987573088 cites W1971765817 @default.
• W2987573088 cites W1973106681 @default.
• W2987573088 cites W1975052168 @default.
• W2987573088 cites W1976023374 @default.
• W2987573088 cites W1978110877 @default.
• W2987573088 cites W1979486410 @default.
• W2987573088 cites W1982068729 @default.
• W2987573088 cites W1986570959 @default.
• W2987573088 cites W1988650824 @default.
• W2987573088 cites W1991573683 @default.
• W2987573088 cites W1994954836 @default.
• W2987573088 cites W1996735577 @default.
• W2987573088 cites W1998432757 @default.
• W2987573088 cites W1999344577 @default.
• W2987573088 cites W2003879311 @default.
• W2987573088 cites W2007271680 @default.
• W2987573088 cites W2010075287 @default.
• W2987573088 cites W2010261778 @default.
• W2987573088 cites W2012702170 @default.
• W2987573088 cites W2013341039 @default.
• W2987573088 cites W2013713766 @default.
• W2987573088 cites W2014727276 @default.
• W2987573088 cites W2018000914 @default.
• W2987573088 cites W2018459837 @default.
• W2987573088 cites W2021851084 @default.
• W2987573088 cites W2027386095 @default.
• W2987573088 cites W2029057972 @default.
• W2987573088 cites W2034929329 @default.
• W2987573088 cites W2040698615 @default.
• W2987573088 cites W2042066319 @default.
• W2987573088 cites W2042315239 @default.
• W2987573088 cites W2042585650 @default.
• W2987573088 cites W2043310913 @default.
• W2987573088 cites W2044648858 @default.
• W2987573088 cites W2046629514 @default.
• W2987573088 cites W2049647840 @default.
• W2987573088 cites W2053011331 @default.
• W2987573088 cites W2054041671 @default.
• W2987573088 cites W2057388082 @default.
• W2987573088 cites W2057499819 @default.
• W2987573088 cites W2057622355 @default.
• W2987573088 cites W2060775322 @default.
• W2987573088 cites W2069663627 @default.
• W2987573088 cites W2071289694 @default.
• W2987573088 cites W2072919404 @default.
• W2987573088 cites W2076475918 @default.
• W2987573088 cites W2077850282 @default.
• W2987573088 cites W2078964569 @default.
• W2987573088 cites W2080512919 @default.
• W2987573088 cites W2081614715 @default.
• W2987573088 cites W2082622325 @default.
• W2987573088 cites W2083202425 @default.
• W2987573088 cites W2083298825 @default.
• W2987573088 cites W2083590173 @default.
• W2987573088 cites W2083890125 @default.
• W2987573088 cites W2087884757 @default.
• W2987573088 cites W2091817771 @default.
• W2987573088 cites W2093388010 @default.
• W2987573088 cites W2102201073 @default.
• W2987573088 cites W2110985329 @default.
• W2987573088 cites W2120630093 @default.
• W2987573088 cites W2124636403 @default.
• W2987573088 cites W2128089648 @default.
• W2987573088 cites W2135576425 @default.
• W2987573088 cites W2137111266 @default.
• W2987573088 cites W2140964565 @default.
• W2987573088 cites W2143192068 @default.
• W2987573088 cites W2143296882 @default.
• W2987573088 cites W2152575748 @default.
• W2987573088 cites W2154188458 @default.
• W2987573088 cites W2164627418 @default.
• W2987573088 cites W2184289110 @default.
• W2987573088 cites W2408377373 @default.
• W2987573088 cites W2521201985 @default.
• W2987573088 cites W2579180916 @default.
• W2987573088 cites W2598490389 @default.
• W2987573088 cites W2619690791 @default.
• W2987573088 cites W2740117919 @default.
• W2987573088 cites W2741517055 @default.
• W2987573088 cites W2757787785 @default.
• W2987573088 cites W2782069613 @default.
• W2987573088 cites W2887887128 @default.

• next