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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
R Abedi, R Costache… - Geocarto …, 2022 - Taylor & Francis
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 …
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] 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 …
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 …
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 …
[HTML][HTML] Improving the prediction accuracy of soil nutrient classification by optimizing extreme learning machine parameters
MS Suchithra, ML Pai - Information processing in Agriculture, 2020 - Elsevier
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 …
[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 …
High resolution map** of soil organic carbon stocks using remote sensing variables in the semi-arid rangelands of eastern Australia
Efficient and effective modelling methods to assess soil organic carbon (SOC) stock are
central in understanding the global carbon cycle and informing related land management …
central in understanding the global carbon cycle and informing related land management …