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Soil organic carbon (SOC) is a critical indicator of soil health, but its accurate estimation from satellite imagery is hindered in vegetated regions due to spectral contamination from plant cover, which obscures soil reflectance and…

Image and Video Processing · Electrical Eng. & Systems 2025-05-27 Dristi Datta , Manoranjan Paul , Manzur Murshed , Shyh Wei Teng , Leigh M. Schmidtke

Models of soil organic carbon (SOC) frequently overlook the effects of spatial dimensions and microbiological activities. In this paper, we focus on two reaction-diffusion chemotaxis models for SOC dynamics, both supporting…

Numerical Analysis · Mathematics 2024-07-31 Angela Monti , Fasma Diele , Deborah Lacitignola , Carmela Marangi

Accurate assessment of atmospheric nitrogen dioxide (NO$_2$) and sulfur dioxide (SO$_2$) is essential for understanding climate-air quality interactions, supporting environmental policy, and protecting public health. Traditional monitoring…

Computer Vision and Pattern Recognition · Computer Science 2026-04-07 Prasanjit Dey , Soumyabrata Dev , Bianca Schoen-Phelan

Infrared solar occultation measurements are well established for remote sensing of Earth's atmosphere, and the corresponding primary transit spectroscopy has turned out to be valuable for characterization of extrasolar planets. Our…

Earth and Planetary Astrophysics · Physics 2018-03-15 Franz Schreier , Steffen Städt , Pascal Hedelt , Mareike Godolt

Accurate crop mapping fundamentally relies on modeling multi-scale spatiotemporal patterns, where spatial scales range from individual field textures to landscape-level context, and temporal scales capture both short-term phenological…

Computer Vision and Pattern Recognition · Computer Science 2026-01-16 Wenyuan Li , Shunlin Liang , Keyan Chen , Yongzhe Chen , Han Ma , Jianglei Xu , Yichuan Ma , Shikang Guan , Husheng Fang , Zhenwei Shi

Soil moisture is critical component of crop health and monitoring it can enable further actions for increasing yield or preventing catastrophic die off. As climate change increases the likelihood of extreme weather events and reduces the…

Image and Video Processing · Electrical Eng. & Systems 2020-04-28 Conrad James Foley , Sagar Vaze , Mohamed El Amine Seddiq , Alexey Unagaev , Natalia Efremova

The biogeochemical complexity of environmental models is increasing continuously and model reliability must be reanalysed when new implementations are brought about. This work aim to identify influential biogeochemical parameters that…

Applications · Statistics 2022-11-01 Giulia Ceriotti , Fiona H M Tang , Federico Maggi

Soil moisture (SM) estimation from active microwave data remains challenging due to the complex interactions between radar backscatter and surface characteristics. While the water cloud model (WCM) provides a semi-physical approach for…

Machine Learning · Computer Science 2025-05-02 Yi Yu , Patrick Filippi , Thomas F. A. Bishop

We propose a methodology to enhance local CO2 monitoring by integrating satellite data from the Orbiting Carbon Observatories (OCO-2 and OCO-3) with ground level observations from the Integrated Carbon Observation System (ICOS) and weather…

Machine Learning · Computer Science 2024-10-08 Oskar Åström , Carina Geldhauser , Markus Grillitsch , Ola Hall , Alexandros Sopasakis

Accurate, detailed, and timely crop type mapping is a very valuable information for the institutions in order to create more accurate policies according to the needs of the citizens. In the last decade, the amount of available data…

Computer Vision and Pattern Recognition · Computer Science 2022-08-24 Valentin Barriere , Martin Claverie

Monitoring land cover using remote sensing is vital for studying environmental changes and ensuring global food security through crop yield forecasting. Specifically, multitemporal remote sensing imagery provides relevant information about…

Computer Vision and Pattern Recognition · Computer Science 2023-06-06 Amanda A. Boatswain Jacques , Abdoulaye Baniré Diallo , Etienne Lord

Knowing chemical soil properties might be determinant in crop management and total yield production. Traditional soil properties estimation approaches are time-consuming and require complex lab setups, refraining farmers from promptly…

Soil moisture (SM) is referred to as a finite amount of water molecules within the pore spaces and it is a crucial parameter of Hydro-Meteorological processes. The behaviour of soil moisture water changes spatially and temporally in…

Modern Earth observation (EO) increasingly leverages deep learning to harness the scale and diversity of satellite imagery across sensors and regions. While recent foundation models have demonstrated promising generalization across EO…

Air pollution is a major driver of climate change. Anthropogenic emissions from the burning of fossil fuels for transportation and power generation emit large amounts of problematic air pollutants, including Greenhouse Gases (GHGs). Despite…

Machine Learning · Computer Science 2021-09-01 Linus Scheibenreif , Michael Mommert , Damian Borth

Near-ground sensing data, such as geospatial measurements of soil apparent electrical conductivity (ECa), are used in precision agriculture to improve farming practices and increase crop yield. Near-ground sensors provide valuable…

Robotics · Computer Science 2021-07-21 Merrick Campbell , Keran Ye , Elia Scudiero , Konstantinos Karydis

The Rapid Carbon Assessment, conducted by the U.S. Department of Agriculture, was implemented in order to obtain a representative sample of soil organic carbon across the contiguous United States. In conjunction with a statistical model,…

Applications · Statistics 2023-11-21 Paul A. Parker , Bruno Sansó

Conservation agriculture features a soil surface covered with crop residues, which brings benefits of improving soil health and saving water. However, one significant challenge in conservation agriculture lies in precisely controlling the…

Image and Video Processing · Electrical Eng. & Systems 2025-11-04 Baochao Wang , Xingyu Zhang , Qingtao Zong , Alim Pulatov , Shuqi Shang , Dongwei Wang

Agroecosystem, which heavily influenced by human actions and accounts for a quarter of global greenhouse gas emissions (GHGs), plays a crucial role in mitigating global climate change and securing environmental sustainability. However, we…

Machine Learning · Computer Science 2026-02-03 Qi Cheng , Licheng Liu , Yao Zhang , Mu Hong , Yiqun Xie , Xiaowei Jia

Climate change is expected to increase the likelihood of drought events, with severe implications for food security. Unlike other natural disasters, droughts have a slow onset and depend on various external factors, making drought detection…