Comparison of machine learning models for gully erosion susceptibility mapping

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Dust source mapping using satellite imagery and machine learning models

Predicting dust sources area and determining the affecting factors is necessary in order to prioritize management and practice deal with desertification due to wind erosion in arid areas. Therefore, this study aimed to evaluate the application of three machine learning models (including generalized linear model, artificial neural network, random forest) to predict the vulnerability of dust cent...

متن کامل

Gully Erosion after Wildfire

Predicting runoff and erosion from watersheds burned by wildfires requires an understanding of the spatial structure of both hillslope and channel drainage networks. We investigate the small-scale and large-scale structures of drainage networks using field studies and computer analysis of 30-m digital elevation model. Topologic variables were derived from a composite 30-m DEM, which included 14...

متن کامل

Comparison of two MPSIAC and MMF models in soil erosion mapping of Ardebil Agh Gouni watershed

Extended abstract 1- Introduction Soil erosion is the most important cause of land degradation and the cause of water loss, soil loss, sedimentation in water resources, and maximum flood intensification (Liu et al., 2019). Models are the most important tools for estimating and mapping of erosion at the watershed level. As the experimental models are dependent on used coefficients and region c...

متن کامل

Machine Learning Models for Housing Prices Forecasting using Registration Data

This article has been compiled to identify the best model of housing price forecasting using machine learning methods with maximum accuracy and minimum error. Five important machine learning algorithms are used to predict housing prices, including Nearest Neighbor Regression Algorithm (KNNR), Support Vector Regression Algorithm (SVR), Random Forest Regression Algorithm (RFR), Extreme Gradient B...

متن کامل

Accuracy Assessment of Gully Erosion Susceptibility Map Using SVM and MARS Methods in Shazand Watershed

Gully erosion found to be typical erosion form in semiarid and arid landscape. Because of the importance of this phenomenon, various studies have been conducted around the world to assess gully erosion and its effects. The purpose of this research was accuracy assessment of gully erosion susceptibility maps using SVM and MARS models in the Shazand watershed. Acquiring information about the gull...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Geoscience Frontiers

سال: 2020

ISSN: 1674-9871

DOI: 10.1016/j.gsf.2019.11.009