Publications & Conferences

Soil spectral libraries (SSLs) are commonly built with expensive proximal sensors, while satellite spectral data are free and widely available. This study investigates how service providers can construct a satellite-based SSL to deliver soil information to stakeholders. We propose the Soil Satellite Spectral Service (Sat4-Service) strategy to estimate clay content and soil organic carbon (SOC)...

Soil is the foundation of terrestrial life, underpinning ecosystem services, food production, and climate regulation. The accurate characterization of soil properties at regional to global scales is both a scientific and societal priority. Remote sensing (RS) provides the observational backbone for such characterization. When combined with artificial intelligence (AI) and machine learning (ML) algorithms, it...

Extreme weather in Florida can result compound impacts, crop damage, prolonged waterlogging, and inundation, that disrupt farm activities and complicate field scale assessment. Following an event, extension agents and growers typically need information on short timelines related to crop damage assessment to prioritize scouting, report impacts, and support recovery decisions, and flood-prone area information to...

Assessing soils over large areas like Brazil faces challenges due to limited laboratory infrastructure, high costs, and environmental concerns linked to excessive chemical use. Reflectance spectroscopy and cloud computing offer quick, scalable, and environmentally friendly alternatives. This study reviews the Brazilian Soil Spectral Service (BraSpecS), a cloud-based hyperspectral platform designed to predict soil attributes through...

Accurate, privacy-respecting soil information is essential for site-specific nutrient management and carbon accounting, yet the cost of laboratory analyses limits many farms to relatively sparse sampling grids. We propose a collaborative framework that couples a national Sentinel-2 bare-soil composite with FL to produce high-resolution clay and soil organic carbon (SOC) maps while keeping all local...

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,...

The advent of artificial intelligence (AI) and machine learning has permeated every aspect of our lives. Water resource management is becoming increasingly important due to the impacts of climate change and human activities. This publication provides examples of how AI can potentially improve the forecasting of water resource variables at both the field and regional...

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....

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,...