Digital map** of GlobalSoilMap soil properties at a broad scale: A review
Soils are essential for supporting food production and providing ecosystem services but are
under pressure due to population growth, higher food demand, and land use competition …
under pressure due to population growth, higher food demand, and land use competition …
Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years
J ** 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 …
[HTML][HTML] Machine learning and soil sciences: A review aided by machine learning tools
The application of machine learning (ML) techniques in various fields of science has
increased rapidly, especially in the last 10 years. The increasing availability of soil data that …
increased rapidly, especially in the last 10 years. The increasing availability of soil data that …
Digital soil map** algorithms and covariates for soil organic carbon map** and their implications: A review
This article reviews the current research and applications of various digital soil map**
(DSM) techniques used to map Soil Organic Carbon (SOC) concentration and stocks …
(DSM) techniques used to map Soil Organic Carbon (SOC) concentration and stocks …
[HTML][HTML] Flash flood susceptibility map** using a novel deep learning model based on deep belief network, back propagation and genetic algorithm
Flash floods are responsible for loss of life and considerable property damage in many
countries. Flood susceptibility maps contribute to flood risk reduction in areas that are prone …
countries. Flood susceptibility maps contribute to flood risk reduction in areas that are prone …
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 …
Maximum entropy modeling to predict the impact of climate change on pine wilt disease in China
X Tang, Y Yuan, X Li, J Zhang - Frontiers in plant science, 2021 - frontiersin.org
Pine wilt disease is a devastating forest disease caused by the pinewood nematode
Bursaphelenchus xylophilus, which has been listed as the object of quarantine in China …
Bursaphelenchus xylophilus, which has been listed as the object of quarantine in China …
[HTML][HTML] Improving the prediction accuracy of soil nutrient classification by optimizing extreme learning machine parameters
Abstract The soil, Soul of Infinite Life, is the entity responsible for sustaining life on earth. In
spite of significant advances in the service sector, agriculture remains the major provider of …
spite of significant advances in the service sector, agriculture remains the major provider of …
Development of geo-environmental factors controlled flash flood hazard map for emergency relief operation in complex hydro-geomorphic environment of tropical river …
The occurrences of flash floods in sub-tropical climatic regions like India are ubiquitous
phenomena, particularly during the monsoon season. This type of flood occurs within a short …
phenomena, particularly during the monsoon season. This type of flood occurs within a short …