Publications
Soil laboratory and satellite spectral data filtering: A Spectral Quality Protocol (SQuaP)
Soil spectroscopy is a powerful technique for soil monitoring. Hundreds of soil spectral datasets, both open-access and private, are used for various applications, despite potential errors. This study presents a filtering protocol to enhance the quality of soil spectral datasets from laboratory and satellite sources, here termed the Spectral Quality Protocol (SQuaP). At the beginning,...
An Agricultural Hybrid Carbon Model for National-Scale SOC Stock Spatial Estimation
Soil Organic Carbon (SOC) stocks in croplands play a key role for climate change mitigation and soil sustainability, with proper management techniques enhancing carbon storage to support these goals. This study focuses on the development of a hybrid carbon modeling approach for the simulation of topsoil SOC stocks across the entire agricultural area of Lithuania....
Relationships between soil detachment rate and flow sediment deficit with rill length on deforested and burned soil
The variability of soil detachment rate (Dr) with rill length is essential to understand the complex process of rill erosion. Moreover, an important variable of rill erosion, such as the ‘flow sediment deficit’ (FSD)–the difference in Dr between the two extreme points of a rill–has been scarcely investigated. Soil disturbances, such as fire and deforestation,...
Frontiers in earth observation for global soil properties assessment linked to environmental and socio-economic factors
Soil has garnered global attention for its role in food security and climate change. Fine-scale soil-mapping techniques are urgently needed to support food, water, and biodiversity services. A global soil dataset integrated into an Earth observation system and supported by cloud computing enabled the development of the first global soil grid of six key properties...
Short-term effects of polyacrylamide application on soil detachment capacity in rills of deforested hillslopes: A flume experiment
Very few studies have explored the effectiveness of polyacrylamide (PAM) application on soil in mitigating rill erosion, especially in deforested environments. This study has measured the soil detachment capacity (Dc) on samples of deforested soil (untreated or treated with PAM). Dc has been estimated by flume experiments under three bed slopes (6.9%, 17.2%, and 18.2%)...
Quantitative analysis of water, heat, and salinity dynamics during bare soil evaporation
In arid and semi-arid regions, significant evaporation intensifies water scarcities and soil salinization, imposing severe challenges to agricultural productivity and economic advancement. This study quantitatively assesses the impact of varying soil salinity levels (0 to 1 wt%) and their distribution within the soil column on water, heat, and salt transport dynamics during evaporation. With a series...
Variability in rill morphometry, surface runoff and erosion with soil conservation techniques (application of polyacrylamide and rice husk biochar and hydromulching) in …
This study analyzed the effects of very intense rainfall (98 mm/h for 30 min) on soil left bare or treated with polyacrylamide, rice husk biochar and hydromulching. Rill morphometry, surface runoff and soil loss were measured in plots (100 cm × 50 cm) with three longitudinal slopes (10%, 17% and 28%). On the basis of...
Soil organic carbon estimation using spaceborne hyperspectral composites on a large scale
Abstract Soil Organic Carbon (SOC) is a key property for soil health. Spectral reflectance such as multispectral and hyperspectral data could provide efficient and cost-effective retrieval of SOC content. However, constrained by the availability of hyperspectral satellite data, current works mostly use a small number of spaceborne hyperspectral imagery for SOC retrieval on a small...
Effects of Treatments With Biochar From Crop Residues on Soil Detachment Capacity in Rills After Deforestation
Rill erosion is the most common form in steep and long hillslopes, but studies about the biochar effects on soil detachment capacity in rills are scarce. This study has simulated soil detachment in rills (Dc) by a laboratory flume on samples collected from forest soils in Northern Iran. The samples were treated with biochars (from...
Federated learning applications in soil spectroscopy
Soil spectroscopy has emerged as a key technique for rapid, non-destructive soil property prediction, yet the centralized nature of the training of machine learning models raises concerns around data privacy, accessibility, and transferability. This study proposes the application of Federated Learning (FL) as a decentralized approach to soil spectroscopy, enabling collaboration between multiple data contributors...