Filtering by Subject: Environmental Monitoring

TROPOMI/S5P sensitivity limits with respect to detection of NO2 plumes from seagoing ships

Solomiia Kurchaba, Artur Sokolovsky, Jasper van Vliet, et al.

Published: 2023-09-20
Subjects: Artificial Intelligence and Robotics, Atmospheric Sciences, Environmental Monitoring

The marine shipping industry is among the strong emitters of nitrogen oxides (NOx) -- a substance harmful to ecology and human health. Monitoring of emissions from shipping is a significant societal task. Currently, the only technical possibility to observe NO2 emission from seagoing ships is using TROPOMI/S5P satellite data. A range of studies reported that NO2 plumes from some individual [...]

SeisMIC - an Open Source Python Toolset to Compute Velocity Changes from Ambient Seismic Noise

Peter Makus, Christoph Sens-Schönfelder

Published: 2023-09-01
Subjects: Computer Sciences, Earth Sciences, Environmental Monitoring, Environmental Sciences, Geophysics and Seismology, Physical Sciences and Mathematics

We present SeisMIC, a fast, versatile, and adaptable open-source software to estimate seismic velocity changes from ambient seismic noise. SeisMIC includes a broad set of tools and functions to facilitate end-to-end processing of ambient noise data, from data retrieval and raw data analysis via spectrogram computation, over waveform coherence analysis, to post-processing of the final velocity [...]

A Contemporary Systematic Review of Cyberinfrastructure Systems and Applications for Flood and Drought Data Analytics and Communication

Serhan Yeşilköy, Özlem Baydaroğlu, Nikhil Singh, et al.

Published: 2023-08-19
Subjects: Environmental Monitoring, Hydrology

Hydrometeorological disasters, including floods and droughts, have intensified in both frequency and severity in recent years. This trend underscores the critical role of timely monitoring, accurate forecasting, and effective warning systems in facilitating proactive responses. Today's information systems offer a vast and intricate mesh of data, encompassing satellite imagery, meteorological [...]

Ecosystem restoration can lead to carbon recovery in semi-arid savanna grasslands in India

Manan Bhan, Chetan Misher, Abhijeet Kulkarni, et al.

Published: 2023-08-10
Subjects: Environmental Monitoring, Natural Resources and Conservation, Other Ecology and Evolutionary Biology

Semi-arid savanna grasslands (SG) in India deliver enormous benefits to people and nature but are currently undergoing large-scale degradation. Soil carbon stocks in degraded SGs vary in response to a host of anthropogenic driving factors including agricultural expansion and industrial development. Although there is increasing support for restoring grasslands by planting native grass species, its [...]

A deep learning approach for deriving winter wheat phenology from optical and SAR time series at field level

Felix Lobert, Johannes Löw, Marcel Schwieder, et al.

Published: 2023-07-13
Subjects: Agricultural Science, Agriculture, Artificial Intelligence and Robotics, Environmental Monitoring

Information on crop phenology is essential when aiming to better understand the impacts of climate and climate change, management practices, and environmental conditions on agricultural production. Today’s novel optical and radar satellite data with increasing spatial and temporal resolution provide great opportunities to provide such information. However, so far, we largely lack methods that [...]

An Artificial Neural Network to Estimate the Foliar and Ground Cover Input Variables of the Rangeland Hydrology and Erosion Model

Mahmoud Saeedimoghaddam, Grey Nearing, David C. Goodrich, et al.

Published: 2023-07-12
Subjects: Artificial Intelligence and Robotics, Environmental Monitoring, Hydrology, Natural Resources and Conservation, Natural Resources Management and Policy, Soil Science

Models like the Rangeland Hydrology and Erosion Model (RHEM) are useful for estimating soil erosion, however, they rely on input parameters that are sometimes difficult or expensive to measure. Specifically, RHEM requires information about foliar and ground cover fractions that generally must be measured in situ, which makes it difficult to use models like RHEM to produce erosion or soil risk [...]

Comprehensive evaluation of aircraft-based methane sensing for greenhouse gas mitigation

Sahar Head El Abbadi, Zhenlin Chen, Philippine M. Burdeau, et al.

Published: 2023-06-22
Subjects: Engineering, Environmental Monitoring, Oil, Gas, and Energy

Methane is a major contributor to anthropogenic greenhouse gas emissions. Identifying large sources of methane, particularly from the oil and gas sector, will be essential for mitigating climate change. Aircraft-based methane sensing platforms can rapidly detect and quantify methane point-source emissions across large geographic regions, playing an increasingly important role in industrial [...]

A software tool for the estimation of uncertainties and spectral error correlation in Sentinel-2 Level-2A data products

Javier Gorroño, Luis Guanter, Lukas Valentin Graf, et al.

Published: 2023-06-17
Subjects: Engineering, Environmental Monitoring

The Copernicus Sentinel-2 (S2) satellite mission acquires high spatial resolution optical imagery over land and coastal areas. Delivering uncertainty estimates and spectral error correlation alongside S2 data products facilitates the constrain of retrieval algorithms, propagate further downstream the retrieval uncertainty, and finally make informed decisions to end-users. This study presents a [...]

Is Snow Drought a Messenger for the Upcoming Severe Drought Period? A Case Study in the Upper Mississippi River Basin

Serhan Yeşilköy, Özlem Baydaroğlu, Ibrahim Demir

Published: 2023-06-04
Subjects: Environmental Monitoring, Environmental Sciences, Water Resource Management

The exacerbation of floods and the extension of droughts, attributed to climate change and other human-induced factors, are posing a substantial risk to communities by causing water scarcity and insecurity. The significance of safeguarding water resources and managing them is increasingly gaining prominence. Snow is an efficient source of water for recharging groundwater compared to rainfall. [...]

Enhancing Flood Risk Assessment Through Machine Learning and Open Data

Tom Narock, J Michael Johnson, Arash Modaresi Rad

Published: 2023-06-02
Subjects: Artificial Intelligence and Robotics, Environmental Indicators and Impact Assessment, Environmental Monitoring

Urban flooding causes billions of dollars in damages annually, with severe flood events becoming more frequent and destructive as our climate changes. While extreme weather is a primary driver of flooding, its consequences depend on the interconnectedness of urban systems - referred to as the Urban Multiplex, which includes the power grid, transportation network, natural surface water and [...]

Limitations in historical satellite archives bias SDG monitoring

Ruben Remelgado, Christopher Conrad, Carsten Meyer

Published: 2023-05-19
Subjects: Environmental Monitoring, Geographic Information Sciences, Physical and Environmental Geography, Remote Sensing, Sustainability

Satellite remote sensing is vital to monitoring, research, and policy addressing sustainability challenges from climate and ecosystem changes to food and water security. Here, Landsat satellite data play a crucial role, given their unique global and long-term historical coverage at high resolution. Yet, severe but mostly disregarded biases in the Landsat data archive threaten the validity of [...]

Evaluating the spatial patterns of NOx emissions in polluted areas with TROPOMI NO2

Daniel L Goldberg, Madankui Tao, Gaige Kerr, et al.

Published: 2023-05-18
Subjects: Atmospheric Sciences, Environmental Health and Protection, Environmental Monitoring

Satellite datasets are increasingly used to evaluate NOx emissions inventories. Such studies often require the use of a chemical transport model or a complex statistical framework to account for meteorological factors that can complicate the comparison. Here, we apply a novel method to compare inventory-based emissions directly to Tropospheric Monitoring Instrument (TROPOMI) NO2 data without a [...]

Single-Blind Detection, Localization, and Quantification of Methane Emissions Using Continuous Path-Integrated Column Measurements

Nathan Blume, Timothy G. Pernini, Jeremy T. Dobler, et al.

Published: 2023-04-13
Subjects: Environmental Monitoring, Oil, Gas, and Energy

The GreenLITE™ emission monitoring system detected, located, and quantified methane (CH4) emissions from a series of single-blind controlled releases with no prior knowledge of timing, locations, or release rates. System performance was evaluated against metrics defined in the Continuous Monitoring Protocol established by the Methane Emissions Technology Evaluation Center (METEC) at Colorado [...]

A high-resolution temporal framework to understand the reach-scale controls on wood budgeting

Borbála Hortobágyi, Stéphane Petit, Baptiste Marteau, et al.

Published: 2023-04-07
Subjects: Environmental Monitoring, Geomorphology, Hydrology, Physical and Environmental Geography, Remote Sensing

Large active channels usually store more wood than channels with a narrow flow because of the availability of large unvegetated bars for wood deposition and inner functioning that usually supplies more wood through channel shifting. However, the dynamics of the wood supply (wood input, output, or stability) can vary substantially over time and the drivers are largely unknown. To explore them, we [...]

High-resolution methane mapping with the EnMAP satellite imaging spectroscopy mission

Javier Roger, Itziar Irakulis-Loitxate, Adriana Valverde, et al.

Published: 2023-04-06
Subjects: Atmospheric Sciences, Environmental Monitoring

Methane mitigation from anthropogenic sources such as fossil fuels and waste management has been found as one of the most promising strategies to curb global warming in the near future. Satellite-based imaging spectrometers have demonstrated to be well-suited to detect and quantify these emissions at high spatial resolution. These instruments produce so-called hyperspectral data cubes of the [...]


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