Flash-flood susceptibility map** based on XGBoost, random forest and boosted regression trees
Historical exploration of flash flood events and producing flash-flood susceptibility maps are
crucial steps for decision makers in disaster management. In this article, classification and …
crucial steps for decision makers in disaster management. In this article, classification and …
Predicting and map** of soil organic carbon using machine learning algorithms in Northern Iran
Estimation of the soil organic carbon (SOC) content is of utmost importance in understanding
the chemical, physical, and biological functions of the soil. This study proposes machine …
the chemical, physical, and biological functions of the soil. This study proposes machine …
Prediction of soil organic carbon and the C: N ratio on a national scale using machine learning and satellite data: A comparison between Sentinel-2, Sentinel-3 and …
T Zhou, Y Geng, C Ji, X Xu, H Wang, J Pan… - Science of the Total …, 2021 - Elsevier
Soil organic carbon (SOC) and soil carbon-to-nitrogen ratio (C: N) are the main indicators of
soil quality and health and play an important role in maintaining soil quality. Together with …
soil quality and health and play an important role in maintaining soil quality. Together with …
Groundwater arsenic contamination throughout China
Arsenic-contaminated groundwater used for drinking in China is a health threat that was first
recognized in the 1960s. However, because of the sheer size of the country, millions of …
recognized in the 1960s. However, because of the sheer size of the country, millions of …
Evaluation of different machine learning models for predicting and map** the susceptibility of gully erosion
Gully erosion constitutes a serious problem for land degradation in a wide range of
environments. The main objective of this research was to compare the performance of seven …
environments. The main objective of this research was to compare the performance of seven …
[書籍][B] Digital terrain analysis in soil science and geology
I Florinsky - 2016 - books.google.com
Digital Terrain Analysis in Soil Science and Geology, Second Edition, synthesizes the
knowledge on methods and applications of digital terrain analysis and geomorphometry in …
knowledge on methods and applications of digital terrain analysis and geomorphometry in …
Assessment of the performance of GIS-based analytical hierarchical process (AHP) approach for flood modelling in Uttar Dinajpur district of West Bengal, India
Floods have received global significance in contemporary times due to their destructive
behavior, which may wreak tremendous ruin on infrastructure and civilization. The present …
behavior, which may wreak tremendous ruin on infrastructure and civilization. The present …
Spatial prediction of soil organic matter content integrating artificial neural network and ordinary kriging in Tibetan Plateau
F Dai, Q Zhou, Z Lv, X Wang, G Liu - Ecological indicators, 2014 - Elsevier
Soil organic matter (SOM) content is considered as an important indicator of soil quality. An
accurate spatial prediction of SOM content is so important for estimating soil organic carbon …
accurate spatial prediction of SOM content is so important for estimating soil organic carbon …
Principles and applications of topography in precision agriculture
Topographic variability is one of the main factors that affect soil properties and crop
production. In this work, we reviewed the concept and significance of various topographic …
production. In this work, we reviewed the concept and significance of various topographic …
Topographic wetness index as a proxy for soil moisture: The importance of flow‐routing algorithm and grid resolution
Abstract The Topographic Wetness Index (TWI) is a commonly used proxy for soil moisture.
The predictive capability of TWI is influenced by the flow‐routing algorithm and the …
The predictive capability of TWI is influenced by the flow‐routing algorithm and the …