Results 21 to 30 of about 328,309 (265)

Digital Mapping of Surface and Subsurface Soil Organic Carbon and Soil Salinity Variation in a Part of Qazvin Plain (Case Study: Abyek and Nazarabad Regions) [PDF]

مجله آب و خاک, 2023
IntroductionKnowledge of the spatial distribution of soil salinity and soil organic carbon (SOC) leads to obtaining valuable information that is effective in decision-making for agricultural activities.
Gordafarin Rezaie, F. Sarmadian, Ali Mohammadi Torkashvand, J. Seyedmohammadi, Maryam Marashi Aliabadi   +4 more
doaj   +1 more source

Improving the spatial prediction of soil organic carbon using environmental covariates selection: A comparison of a group of environmental covariates

CATENA, 2022
Abstract In the digital soil mapping (DSM) framework, machine learning models quantify the relationship between soil observations and environmental covariates. Generally, the most commonly used covariates (MCC; e.g., topographic attributes and single-time remote sensing data, and legacy maps) were employed in DSM studies. Additionally, remote sensing
Mojtaba Zeraatpisheh, Younes Garosi, Hamid Reza Owliaie, Shamsollah Ayoubi, Ruhollah Taghizadeh-Mehrjardi, Thomas Scholten, Ming Xu   +6 more
openaire   +1 more source

Effects of environmental and physiological covariates on sex differences in unconditioned and conditioned anxiety and fear in a large sample of genetically heterogeneous (N/Nih-HS) rats

Behavioral and Brain Functions, 2011
Physiological and environmental variables, or covariates, can account for an important portion of the variability observed in behavioural/physiological results from different laboratories even when using the same type of animals and phenotyping ...
López-Aumatell Regina, Martínez-Membrives Esther, Vicens-Costa Elia, Cañete Toni, Blázquez Gloria, Mont-Cardona Carme, Johannesson Martina, Flint Jonathan, Tobeña Adolf, Fernández-Teruel Alberto   +9 more
doaj   +1 more source

Associating microbiome composition with environmental covariates using generalized UniFrac distances. [PDF]

Bioinformatics, 2012
Abstract Motivation: The human microbiome plays an important role in human disease and health. Identification of factors that affect the microbiome composition can provide insights into disease mechanism as well as suggest ways to modulate the microbiome composition for therapeutical purposes.
Chen J, Bittinger K, Charlson ES, Hoffmann C, Lewis J, Wu GD, Collman RG, Bushman FD, Li H.   +8 more
europepmc   +4 more sources

Decline and repair, and covariate effects [PDF]

, 2015
The failure processes of repairable systems may be impacted by operational and environmental stress factors. To accommodate such factors, reliability can be modelled using a multiplicative intensity function.
Andersen, Dekker, Doyen, Guo, Han, Jiang, Kalbfleisch, Kijima, Kijima, Kirschenmann, Lam, Malik, Meyer, Nakagawa, Philip Scarf, Scarf, Shaomin Wu, Wang, Wu, Wu, Xiang, Zhong   +21 more
core   +3 more sources

A comparative Digital Soil Mapping (DSM) study using a non-supervised clustering analysis and an expert knowledge based model - A case study from Ahuachapán, El Salvador [PDF]

, 2020
DSM is the inference of spatial and temporal soil property variations using mathematical models based on quantitative relationships between environmental information and soil measurements.
Casares, Francisco, Keough, Adam, Martín-López, Javier M., Quintero, Marcela, Silva, Mayesse da, Valencia, Jefferson   +5 more
core   +3 more sources

Environmental Covariate Representation of Seasonal U.S. Tornado Frequency [PDF]

Journal of Applied Meteorology and Climatology, 2019
AbstractThe significant tornado parameter is a widely used meteorological composite index that combines several variables known to favor tornadic supercell thunderstorms. This research examines the spatial relationship between U.S. tornado frequency and the significant tornado parameter (the predictor covariate) across four seasons in order to ...
Vittorio A. Gensini, Lelys Bravo de Guenni   +1 more
openaire   +1 more source

Improving 3D Digital Soil Mapping Based on Spatialized Lab Soil Spectral Information

Remote Sensing, 2023
Readily available environmental covariates in current digital soil mapping usually do not indicate the spatial differences between deep soil attributes.
Zheng Sun, Feng Liu, Decai Wang, Huayong Wu, Ganlin Zhang   +4 more
doaj   +1 more source

Digital Mapping of Soil Organic Carbon Using Machine Learning Algorithms in the Upper Brahmaputra Valley of Northeastern India

Land, 2023
Soil Organic Carbon (SOC) is a crucial indicator of ecosystem health and soil quality. Machine learning (ML) models that predict soil quality based on environmental parameters are becoming more prevalent.
Amit Kumar, Pravash Chandra Moharana, Roomesh Kumar Jena, Sandeep Kumar Malyan, Gulshan Kumar Sharma, Ram Kishor Fagodiya, Aftab Ahmad Shabnam, Dharmendra Kumar Jigyasu, Kasthala Mary Vijaya Kumari, Subramanian Gandhi Doss   +9 more
doaj   +1 more source

Mapping soil organic matter content using Sentinel-2 synthetic images at different time intervals in Northeast China

International Journal of Digital Earth, 2023
Mapping soil organic matter (SOM) content has become an important application of digital soil mapping. In this study, we processed all Sentinel-2 images covering the bare-soil period (March to June) in Northeast China from 2019 to 2022 and integrated the
Chong Luo, Wenqi Zhang, Xinle Zhang, Huanjun Liu   +3 more
doaj   +1 more source