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ENVIRONMENTALLY FRIENDLY SOLAR ENERGY: POTENTIAL OF UTILIZING FIELD MARGINS IN RURAL AREAS FOR PHOTOVOLTAIC SYSTEMS IN COMBINATION WITH WILDFLOWER STRIPS 22

ENVIRONMENTALLY FRIENDLY SOLAR ENERGY: POTENTIAL OF UTILIZIN...

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22nd Wind and Solar Integration Workshop, WIW 2023

作者： Wunder, Kerstin Foth, Hannes Rolink, Johannes Kayser, Manfred Department of Electrical Engineering and Computer Science University of Applied Sciences Emden/Leer Emden Germany Institute for Applied Photogrammetry and Geoinformatics Jade University of Applied Sciences Oldenburg Germany Geo-Lab University of Vechta Vechta Germany Department of Crop Sciences University of Göttingen Göttingen Germany

ISBN: (纸本)9781839539824

This study assesses the economic potential of using field margins and wildflower strips in rural northwest Lower Saxony, Germany, for eco-friendly solar energy generation. Field margins, located at the edges of farmland, serve as buffers between crops and surrounding ecosystems and can promote biodiversity by using as wildflower strips. By integrating photovoltaic (PV) systems within these field margins, the study aims to investigate clean electricity production while preserving ecological balance. To estimate the potential of grid-connected field margin PV (FMPV), the paper considers regulatory, technical, and economic factors. Using geographic data, suitable areas are identified. The study assesses regulatory influence on FMPV operations and evaluates grid connection points' availability for economic analysis. Results show that 19,378 km of field margins are potentially suitable for grid-connected FMPV, implying an electricity generation potential of 23.6 TWh/a. However, compatible margins constitute just 15.5 % of existing field margins. The combination of wildflower strips and grid-connected FMPV provides an innovative energy approach in rural areas, however, this study highlights high grid connection costs. Off-grid photovoltaic systems seem more practical. Prioritizing off-grid systems for on-site electricity utilization and exploring affordable alternatives are essential for enhancing the economic viability of FMPV systems in rural areas. © Energynautics GmbH.

关键词： Rural areas

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Generalized Few-Shot Semantic Segmentation in Remote Sensing: Challenge and Benchmark

arXiv

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arXiv 2024年

作者： Broni-Bediako, Clifford Xia, Junshi Song, Jian Chen, Hongruixuan Siam, Mennatullah Yokoya, Naoto Geoinformatics Team Japan Department of Complexity Science and Engineering The University of Tokyo Japan Faculty of Engineering and Applied Science Ontario Tech University Canada Computer Science Department University of British Columbia Canada

Learning with limited labelled data is a challenging problem in various applications, including remote sensing. Few-shot semantic segmentation is one approach that can encourage deep learning models to learn from few labelled examples for novel classes not seen during the training. The generalized few-shot segmentation setting has an additional challenge which encourages models not only to adapt to the novel classes but also to maintain strong performance on the training base classes. While previous datasets and benchmarks discussed the few-shot segmentation setting in remote sensing, we are the first to propose a generalized few-shot segmentation benchmark for remote sensing. The generalized setting is more realistic and challenging, which necessitates exploring it within the remote sensing context. We release the dataset augmenting OpenEarthMap with additional classes labelled for the generalized few-shot evaluation setting. The dataset is released during the Open- EarthMap land cover mapping generalized few-shot challenge in the L3D-IVU workshop in conjunction with CVPR 2024. In this work, we summarize the dataset and challenge details in addition to providing the benchmark results on the two phases of the challenge for the validation and test sets. © 2024, CC BY-NC-SA.

关键词： Semantic Segmentation

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Environmentally friendly solar energy: potential of utilizing field margins in rural areas for photovoltaic systems in combination with wildflower strips

Environmentally friendly solar energy: potential of utilizin...

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22nd Wind and Solar Integration Workshop (WIW 2023)

作者： K. Wunder H. Foth J. Rolink M. Kayser Department of Electrical Engineering and Computer Science University of Applied Sciences Emden Leer Emden Germany Institute for Applied Photogrammetry and Geoinformatics Jade University of Applied Sciences Oldenburg Germany Geo-Lab University of Vechta Vechta Germany

This study assesses the economic potential of using field margins and wildflower strips in rural northwest Lower Saxony, Germany, for eco-friendly solar energy generation. Field margins, located at the edges of farmland, serve as buffers between crops and surrounding ecosystems and can promote biodiversity by using as wildflower strips. By integrating photovoltaic (PV) systems within these field margins, the study aims to investigate clean electricity production while preserving ecological balance. To estimate the potential of grid-connected field margin PV (FMPV), the paper considers regulatory, technical, and economic factors. Using geographic data, suitable areas are identified. The study assesses regulatory influence on FMPV operations and evaluates grid connection points' availability for economic analysis. Results show that 19,378 km of field margins are potentially suitable for grid-connected FMPV, implying an electricity generation potential of 23.6 TWh/a. However, compatible margins constitute just 15.5 % of existing field margins. The combination of wildflower strips and grid-connected FMPV provides an innovative energy approach in rural areas, however, this study highlights high grid connection costs. Offgrid photovoltaic systems seem more practical. Prioritizing off-grid systems for on-site electricity utilization and exploring affordable alternatives are essential for enhancing the economic viability of FMPV systems in rural areas.

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Prediction of land cover changes in an Urban City of Bangladesh using artificial neural network-based cellular automata

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Urban Lifeline 2025年第1期3卷 1-16页

作者： Yeasmin, Tania Karmaker, Sourav Islam, Md Shafiqul Hasan, Irteja Rahman, Saifur Hasan, Mahmudul GIS & RS Solution Dhaka Bangladesh Envirocare International Limited Dhaka Bangladesh Faculty of Computer Science Mathematics and Geoinformatics Stuttgart University of Applied Sciences Stuttgart Germany EQMS Consulting Limited Dhaka Bangladesh Department of Coastal Studies and Disaster Management University of Barishal Barishal Bangladesh Department of Geo-Information Science and Earth Observations Patuakhali Science and Technology University Patuakhali Bangladesh

Savar, a newly developed suburb of Dhaka, is rapidly urbanizing due to various socioeconomic and environmental factors. This study was conducted to evaluate temporal and spatial changes in Land Use and Land Cover (LULC) for the years 1980, 2000, and 2020 and predict future LULC changes. Supervised classification algorithms and cellular automata model based on Artificial Neural Networks (ANN) were used to prepare LULC maps and future simulations. The methodology was designed to overcome limitations in traditional land use and land cover change modeling, including low accuracy, computational inefficiency, and limited adaptability to complex spatial patterns. The study revealed that the rate of built-up area increased significantly over 40 years while barren land and agricultural land decreased drastically. Future LULC simulation results illustrated that the built-up area would increase by 95.07 km2 (33.29%) in 2040. The model's prediction of the growth of built-up areas by 2040 demonstrated a significant rise in urban coverage with an accuracy rate of 41.14%. Therefore, this study will help us to understand the present and future urban land dynamics along with the trend of temporal and spatial LULC changes that assist planners, policymakers, and stakeholders in sustainable urban planning techniques and urban land management.

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Simple method of failure detection of rotary machines

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Diagnostyka 2021年第4期22卷 17-22页

作者： Bielecki, Andrzej Bielecka, Marzena Jablonski, Adam Staszewski, Wojciech Institute of Computer Science Faculty of Exact and Natural Sciences Pedagogical University in Krakow Podchorazych 2 Krakow30-084 Poland Geoinformatics and Applied Computer Science Faculty of Geology Geophysics and Environmental Protection AGH University of Science and Technology Mickiewicza 30 Krakow30-059 Poland Robotics and Mechatronics Faculty of Mechanical Engineering and Robotics AGH University of Science and Technology Mickiewicza 30 Krakow30-059 Poland

In the paper a simple unsupervised monitoring method of rotary machines is proposed. The method consists of three stages multi-reference preliminary analysis of the vibration signals, auto-reference preliminary analysis and probabilistic analysis of the signals. The method was tested by using signals from eight simulated machines. The efficiency of the method has been positively verified. © 2021 Polish Society of Technical Diagnostics. All rights reserved.

关键词： Vibration analysis

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A PROJECTION-BASED RECONSTRUCTION ALGORITHM for 3D MODELING of BRIDGE STRUCTURES from DRONE-BASED POINT CLOUD 6

A PROJECTION-BASED RECONSTRUCTION ALGORITHM for 3D MODELING ...

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6th International Conference on Smart Data and Smart Cities, SDSC 2021

作者： Mehranfar, M. Arefi, H. Alidoost, F. School of Surveying and Geospatial Engineering College of Engineering University of Tehran Iran School of Technology Department of Geoinformatics and Surveying Mainz University of Applied Sciences Germany Faculty of Geomatics Computer Science and Mathematics Stuttgart University of Applied Sciences Germany

This paper presents a projection-based method for 3D bridge modeling using dense point clouds generated from drone-based images. The proposed workflow consists of hierarchical steps including point cloud segmentation, modeling of individual elements, and merging of individual models to generate the final 3D model. First, a fuzzy clustering algorithm including the height values and geometrical-spectral features is employed to segment the input point cloud into the main bridge elements. In the next step, a 2D projection-based reconstruction technique is developed to generate a 2D model for each element. Next, the 3D models are reconstructed by extruding the 2D models orthogonally to the projection plane. Finally, the reconstruction process is completed by merging individual 3D models and forming an integrated 3D model of the bridge structure in a CAD format. The results demonstrate the effectiveness of the proposed method to generate 3D models automatically with a median error of about 0.025 m between the elements' dimensions in the reference and reconstructed models for two different bridge datasets. © 2021 International Society for Photogrammetry and Remote Sensing. All rights reserved.

关键词： Image reconstruction

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One algorithm for testing annulling of mixed trigonometric polynomial functions on boundary points 30

One algorithm for testing annulling of mixed trigonometric p...

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30th Telecommunications Forum, TELFOR 2022

作者： Malesevic, Branko Banjac, Bojan Sesum-Cavic, Vesna Korolija, Nenad University of Belgrade School of Electrical Engineering Department of Applied mathematics Belgrade Serbia University of Novi Sad Computer graphics chair Faculty of Technical sciences Novi Sad Serbia Digital innovation team Intens d.o.o. Novi Sad Serbia University of Belgrade Faculty of Civil Engineering Department for Geoinformatics Belgrade Serbia University of Belgrade School of Electrical Engineering Department for Computer science and information technology Belgrade Serbia

ISBN: (数字)9781665472739

ISBN: (纸本)9781665472739

This paper considers one problem of automated proving of MTP inequalities f(x) > 0 over [0, π/2] on boundary points. It suggests one algorithm for symbolic checking for f(0) = 0 or f(π/2) = 0 without use of numerical estimations. With stated approach it gives one contribution to theory and practice in this part of the field of automated proving. © 2022 IEEE.

关键词： Rational functions

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pyAKI - An Open Source Solution to Automated KDIGO classification

arXiv

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arXiv 2024年

作者： Porschen, Christian Ernsting, Jan Brauckmann, Paul Weiss, Raphael Würdemann, Till Booke, Hendrik Amini, Wida Maidowski, Ludwig Risse, Benjamin Hahn, Tim von Groote, Thilo Department of Anaesthesiology Intensive Care and Pain Medicine University Hospital Münster Germany Institute for Geoinformatics University of Münster Germany University of Münster Institute for Translational Psychiatry Germany Faculty of Mathematics and Computer Science University of Münster Germany FH Münster - University of Applied Sciences Germany

Acute kidney injury (AKI) is a frequent complication in critically ill patients, affecting up to 50% of patients in the intensive care units. The lack of standardized and open-source tools for applying the Kidney Disease Improving Global Outcomes (KDIGO) criteria to time series data has a negative impact on workload and study quality. This project introduces pyAKI, an open-source pipeline addressing this gap by providing a comprehensive solution for consistent KDIGO criteria implementation. The pyAKI pipeline was developed and validated using a subset of the Medical Information Mart for Intensive Care (MIMIC)-IV database, a commonly used database in critical care research. We defined a standardized data model in order to ensure reproducibility. Validation against expert annotations demonstrated pyAKI's robust performance in implementing KDIGO criteria. Comparative analysis revealed its ability to surpass the quality of human labels. This work introduces pyAKI as an open-source solution for implementing the KDIGO criteria for AKI diagnosis using time series data with high accuracy and performance. Copyright © 2024, The Authors. All rights reserved.

关键词： Pipelines

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Significance of Benthic Alkalinity Flux Resulting from Anoxic Diagenesis in a Marine Basin with High River Inflow

SSRN

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SSRN 2024年

作者： Lukawska-Matuszewska, Katarzyna Kwiatkowska, Julia Brodecka-Goluch, Aleksandra Dwornik, Maciej University of Gdańsk Faculty of Oceanography and Geography al. Marszalka J. Pilsudskiego 46 Gdynia81-378 Poland AGH University of Krakow Faculty of Geology Geophysics and Environmental Protection Department of Geoinformatics and Applied Computer Science al. A. Mickiewicza 30 Krakow30-059 Poland

Alkalinity generation in marine sediments and its release into the water column is significant in terms of seawater's ability to absorb CO2 from the atmosphere, especially in shelf seas where due to the shallow depth sediment processes can have a considerable impact on seawater chemistry. Our study considering different types of anoxic shelf sediments shows that benthic alkalinity flux depends on the season, bottom water oxygenation and availability of oxidants for organic matter mineralization, making it highly variable spatially and temporally. Benthic alkalinity fluxes were determined in the southern part of the Baltic Sea - Gdańsk Basin, which is strongly influenced by inflow from the land along with the Vistula, the second largest river flowing into the Baltic Sea. The obtained benthic flux of alkalinity from anaerobic sediments was 1911±744 µmol m-2 day-1, while the alkalinity load entering the Gulf of Gdańsk from sediments was 0.70±0.27 Mmol km-2 yr-1. This means that anaerobic sediments have similar, if not greater, potential to be a significant source of alkalinity in seawater in the southern Baltic Sea than the soil in the catchment. As eutrophication increases and anaerobic bottom areas spread, the sediment zone where methanogenesis occurs can be expected to expand. In this case, we argue that the role of sediment as an internal source of alkalinity will increase. The oxidation of increased amounts of methane will result in a high benthic flux of dissolved inorganic carbon to the bottom water, contributing to the buffer capacity of seawater and counteracting the acidification resulting from the increase in the partial pressure of CO2 in the atmosphere and water. © 2024, The Authors. All rights reserved.

关键词： Alkalinity

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Unsupervised Burned Area Mapping in Greece: Investigating the Impact of Precipitation, Pre- and Post-Processing of Sentinel-1 Data in Google Earth Engine

Unsupervised Burned Area Mapping in Greece: Investigating th...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Daniel Paluba Lorenzo Giuliano Papale Triantafyllia-Maria Perivolioti Přemysl Štych Josef Laštovička Panagiotis Kalaitzis Georgia Karadimou Elena Papageorgiou Antonios Mouratidis Department of Applied Geoinformatics and Cartography Faculty of Science Charles University Department of Civil and Computer Science Engineering Tor Vergata University of Rome School of Geology Faculty of Sciences Aristotle University of Thessaloniki Balkan Center Center for Interdisciplinary Research and Innovation Aristotle University of Thessaloniki (CIRI-AUTH) Department of Geography University of the Aegean

Wildfires are one of the most significant threats to ecosystems and are increasing in frequency globally. The aim of this study is to monitor the evolution of selected wildfires in Greece that occurred during August 2021 using Sentinel-1 SAR data and unsupervised k-means clustering in Google Earth Engine. First, changes in time series after the start of the fire and the influence of precipitation were investigated. In this study, the influence of different speckle filters and post-classification filters on clustering results was tested. The difference Normalized Burn Ratio Index (dNBR) derived from Sentinel-2 data was used as a validation dataset to assess accuracy using the F1-score, overall accuracy, omission and commission error. The best achieved F1-scores were higher than 0.70 with omission error lower than 35% in all selected areas, where the Lee speckle filter with an 11x11 kernel window size and a 2 ha post-classification filter performed the best.

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