Article
Green & Sustainable Science & Technology
Niklas Schwiersch, Juergen Stamm
Summary: Holistic flood risk management aims to minimize flood risk in an entire river basin by considering flooding probability and its consequences in planning flood risk management measures. This study quantifies the variability of landside slope failure probability on homogeneous river levees using Monte Carlo simulation for the first time, providing insights for adjusting local failure probability to limit flood risk. The methodology presented may be expanded to include structured cross-sections or additional failure mechanisms in the future for a more comprehensive understanding of landward slope failure.
Article
Environmental Sciences
Nicola Rossi, Mario Bacic, Meho Sasa Kovacevic, Lovorka Libric
Summary: This study focuses on developing fragility curves for levee slope stability and piping as failure mechanisms, providing crucial insights into the vulnerability of levees exposed to rising water levels.
Article
Engineering, Geological
J. J. Kool, W. Kanning, C. Jommi, S. N. Jonkman
Summary: The paper discusses how probabilistic Bayesian techniques can enhance the hindcasting process of levee failures, allowing for systematic analysis of multiple scenarios and model choices to accurately describe the causes of failure. A case study of the levee failure near Breitenhagen, Germany in 2013 highlights the factors of locally weak soil conditions and high water pressures triggering the failure, potentially caused by a previous breach at the location.
GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS
(2021)
Article
Environmental Sciences
Andrea Mandarino, Francesco Faccini, Fabio Luino, Barbara Bono, Laura Turconi
Summary: The article investigates the impact of historical floods and urban expansion on flood-prone areas in Garessio, Ceva, and Clavesana in Northwest Italy. The research highlights the importance of past flood information and urbanization processes for land planning and management, emphasizing the need to prohibit new urban expansion in potentially floodable areas. The outcomes provide valuable knowledge for effective and sustainable measures to mitigate the risk of floods.
Article
Environmental Sciences
Francesca Ceccato, Paolo Simonini
Summary: This article discusses a levee failure that occurred in Italy in 2020, suggesting that it was caused by local heterogeneities or a small cavity. Historical data and site observations support the possible presence of these defects. Hydromechanical simulations show that a river embankment without any deficiency would have been safe, indicating the need to consider a local defect. The presence of a small cavity in hydraulic communication with the river is proposed as a likely cause for the failure.
JOURNAL OF FLOOD RISK MANAGEMENT
(2023)
Article
Engineering, Geological
Rowshon Jadid, Brina M. Montoya, Mohammed Gabr
Summary: This study focuses on quantifying the level of deviatoric strain in earth embankment slopes under repeated hydraulic loading, and proposes a simple linear relationship to estimate the ultimate performance limit state. The applicability of the proposed model is verified through parametric studies and comparison with field case data.
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
(2022)
Article
Engineering, Civil
Wouter Jan Klerk, Vera van Bergeijk, Wim Kanning, Rogier Wolfert, Matthijs Kok
Summary: This paper examines the reliability of flood defence systems under shock-based degradation and compares different maintenance concepts. The results show that the current maintenance concept fails to meet the reliability requirements for revetment failure. Additional inspections and targeted interventions can significantly reduce total cost and improve the robustness of flood defence systems.
Article
Engineering, Geological
Mark G. van der Krogt, Timo Schweckendiek, Matthijs Kok
Summary: This study examines how information from the construction stage can enhance the reliability estimate for dikes during flood conditions, showing that reliability can significantly increase, especially for dikes on soft soil blankets. The main factors influencing the degree of reliability update were ground conditions and the criticality of slope stability during construction.
ENGINEERING GEOLOGY
(2021)
Article
Geosciences, Multidisciplinary
Davide Notti, Martina Cignetti, Danilo Godone, Daniele Giordan
Summary: The widespread availability of Sentinel-2 data and high-resolution images makes it possible to map shallow landslides triggered by extreme events at a low cost. This study presents a two-phase procedure to detect and map shallow landslides using Sentinel-2 images. The results show that the semi-automatic mapping based on Sentinel-2 allows for detecting the majority of shallow landslides larger than satellite ground pixel.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2023)
Article
Engineering, Civil
Chia-Chu Chu, Ho-Ting Su, Cheng Wei, Gene Jiing-Yun You
Summary: This study proposes a semi-quantitative approach to assess the risk of levee failure, addressing the limitations of previous quantitative and semi-quantitative methods. The study considers uncertainty factors within a semi-quantitative framework using ISO assessment procedures, with a case study on the Puzih river in Taiwan. A risk map and flood prevention strategies are developed to decrease the risk in specific regions.
JOURNAL OF HYDROLOGY
(2023)
Article
Geosciences, Multidisciplinary
Diaa Sheishah, Timea Kiss, Tibor Borza, Karoly Fiala, Peter Kozak, Enas Abdelsamei, Csaba Toth, Gyula Grenerczy, David Gergely Pall, Gyorgy Sipos
Summary: Artificial levees are crucial for flood-risk mitigation, especially in Hungary where more than one-third of the country is threatened by floods and protected by a 4200-km-long levee system. However, these levees built in the 19th century may have undergone slow but steady deformation due to various processes. Since there is limited documentation on relevant construction works, the structure and composition of artificial levees are not well known.
Article
Environmental Sciences
Raul Hoffren, Hector Miranda, Manuel Pizarro, Pablo Tejero, Maria B. Garcia
Summary: Recent studies have found that small-scale climate diversification and climate microrefugia are important for organisms to escape or mitigate the impacts of current climate change. This study focused on a high roughness area in the Pyrenees and used a network of miniaturized sensors to investigate the effects of topography and vegetation on temperature and humidity. The results showed that topographic variables had a larger effect on above-ground temperature, while vegetation variables had a larger effect on maximum temperature. Forest canopy also played a significant role in the spatial diversity of microclimate and its ability to provide refuge from extreme temperatures and vapor pressure deficit. This integrative approach highlights the importance of preserving and managing forests to mitigate the impacts of climate change on biodiversity.
Article
Environmental Sciences
Seble Fissha Hailemariam, Knut Alfredsen
Summary: This study proposes a flood damage estimation method using a hydraulic model, GIS, and a flood loss estimation model to assess flood risk in the Drammen River basin. Hazard variables such as flood depth, flood extent, and flood velocity are computed for current and future climatic scenarios using the hydraulic model. The results are visualized in GIS as flood inundation maps. The flood loss estimate considers buildings and other infrastructure as major exposures and uses stage-damage relationships to calculate economic loss based on simulated flood parameters.
Article
Environmental Sciences
Kazuaki Ohtsuki, Rei Itsukushima, Tatsuro Sato
Summary: This study analyzed the feasibility of an open levee system in the Kuji River area through simulations. The results showed that the system can reduce the duration and depth of inundation, but has a relatively insignificant impact on peak discharge. The effectiveness of sub levees depends on surrounding conditions.
Article
Environmental Sciences
Matthew L. Chambers, Charles B. van Rees, Brian P. Bledsoe, David Crane, Susana Ferreira, Damon M. Hall, Rod W. Lammers, Craig E. Landry, Donald R. Nelson, Matt Shudtz, Burton C. Suedel
Summary: This article explores the importance of nature-based solutions (NbS), specifically levee setbacks, in improving the sustainability of leveed river corridors in the United States. The paper highlights knowledge gaps, challenges, and opportunities for progress with NbS, and discusses the decision-making processes and ecosystem service valuation of the Army Corps of Engineers (USACE) in implementing setbacks. The case study of a setback on the Missouri River demonstrates how USACE overcame implementation challenges and provides lessons for similar contexts.
Article
Biodiversity Conservation
Yanan Duan, Baofeng Di, Susan L. Ustin, Chong Xu, Qiang Xie, Shaolin Wu, Jierui Li, Ruixing Zhang
Summary: The study revealed that earthquakes have slight but long-term effects on ecosystem services, with climate change being the main driving force in the recovery of ESs, especially with its interactions with non-climate factors in low elevations and subalpine mountains. Areas with frequent secondary disasters require more attention in post-disaster reconstruction to maximize benefits and promote collaborative development between socioeconomic and ecological environments.
ECOLOGICAL INDICATORS
(2021)
Article
Environmental Sciences
Anzhi Zhang, Gensuo Jia, Susan L. Ustin
Summary: Global vegetation trends are significantly influenced by climatic drivers, with temperature and water availability playing important roles in vegetation growth trends. As the climate warms, the impact of water limitation on vegetation growth is intensifying.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Chemistry, Analytical
Linghua Meng, Huanjun Liu, Susan L. Ustin, Xinle Zhang
Summary: Research on fusion modeling of high spatial and temporal resolution images examined the effects of different reference image dates and the 'mixed pixels' nature of MODIS images. Results showed that using a mid-season Landsat image as reference for fusion with MODIS imagery led to better yield estimation compared to early or late season reference images.
Article
Environmental Sciences
Thomas Miraglio, Margarita Huesca, Jean-Philippe Gastellu-Etchegorry, Crystal Schaaf, Karine R. M. Adeline, Susan L. Ustin, Xavier Briottet
Summary: This study assessed a hybrid retrieval method for accurate estimation of plant traits using a random forest regressor trained on the outputs of the DART model. It was found that the hybrid method trained with a simplified scene obtained accuracies consistent with the test dataset of the calibration phase.
Article
Environmental Sciences
Linghua Meng, Huanjun Liu, Susan L. Ustin, Xinle Zhang
Summary: This study successfully predicts maize yield by integrating multiple data sources and utilizing machine learning techniques, highlighting the importance of incorporating climate data, vegetation indices, and soil data for accurate predictions. Different fertilizer systems also impact yield prediction accuracy, showcasing the significance of considering various factors in crop yield forecasting.
Article
Ecology
Margarita Huesca, Susan L. Ustin, Kristen D. Shapiro, Ryan Boynton, James H. Thorne
Summary: This study used airborne hyperspectral imagery to identify the most important wavelength regions predicting drought-induced tree mortality in blue oak woodlands. The best metric for predicting canopy stress was found to be a normalized ratio using specific spectral bands, with a correlation of R-2 = 0.83. The study also revealed that tree mortality prediction accuracy was highest between 1% and 10% mortality rates.
Article
Soil Science
Yilin Bao, Susan Ustin, Xiangtian Meng, Xinle Zhang, Haixiang Guan, Beisong Qi, Huanjun Liu
Summary: The study aimed to improve SOC prediction accuracy by using satellite hyperspectral image data and ancillary variables. Results showed that considering soil stratification strategy and ancillary variables significantly improved model accuracy.
Article
Biodiversity Conservation
Vicente Burchard-Levine, Hector Nieto, David Riano, Wiliam P. Kustas, Mirco Migliavacca, Tarek S. El-Madany, Jacob A. Nelson, Ana Andreu, Arnaud Carrara, Jason Beringer, Dennis Baldocchi, M. Pilar Martin
Summary: This study proposed a new thermal-based three-source energy balance (3SEB) model, which successfully simulated the evapotranspiration from different vegetation sources. The results showed that trees and grasses had contrasting relations with respect to monthly precipitation, indicating different responses to seasonal water availability.
GLOBAL CHANGE BIOLOGY
(2022)
Article
Geography, Physical
Shaolin Wu, Baofeng Di, Susan L. Ustin, Constantine A. Stamatopoulos, Jierui Li, Qi Zuo, Xiao Wu, Nanshan Ai
Summary: This study analyzed and clustered a dataset of 4000 traditional Chinese settlements to explore their geospatial patterns and dominant factors. The study identified five geospatial patterns of settlements and determined the threshold of environmental factors affecting these patterns. It also found that environmental conditions and settlement concepts influenced the similarities and differences among settlement groups. Additionally, the study identified key boundaries and dominant factors for each zone, with topographical conditions and hydrologic resources playing significant roles. This research improves understanding of the environment's adaptability to traditional Chinese settlements and provides guidance for their conservation and rural revitalization.
JOURNAL OF GEOGRAPHICAL SCIENCES
(2022)
Article
Ecology
Jeannine Cavender-Bares, Fabian D. Schneider, Maria Joao Santos, Amanda Armstrong, Ana Carnaval, Kyla M. Dahlin, Lola Fatoyinbo, George C. Hurtt, David Schimel, Philip A. Townsend, Susan L. Ustin, Zhihui Wang, Adam M. Wilson
Summary: This Perspective discusses the importance of integrating remote sensing with field-based ecology and evolution to fully understand and preserve Earth's biodiversity. The inclusive integration of data collected through different methods can benefit conservation efforts and advance biodiversity science.
NATURE ECOLOGY & EVOLUTION
(2022)
Article
Remote Sensing
Thomas Miraglio, Karine Adeline, Margarita Huesca, Susan Ustin, Xavier Briottet
Summary: The estimation and mapping of vegetation traits from satellite hyperspectral imagery is important for studying Mediterranean-climate forests. This study compared the estimation accuracy of different sensors and found that the accuracy is higher for denser canopies.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2022)
Article
Environmental Sciences
Christiana Ade, Shruti Khanna, Mui Lay, Susan L. Ustin, Erin L. Hestir
Summary: This study achieved genus level and species level discrimination between two invasive aquatic vegetation species using Sentinel 2 multispectral satellite data and machine-learning classifiers. It showed that Sentinel-2 data can be used to supplement airborne imaging spectroscopy observations for real-time tracking of rapidly growing/expanding vegetation.
Review
Environmental Sciences
Duccio Rocchini, Maria J. Santos, Susan L. Ustin, Jean-Baptiste Feret, Gregory P. Asner, Carl Beierkuhnlein, Michele Dalponte, Hannes Feilhauer, Giles M. Foody, Gary N. Geller, Thomas W. Gillespie, Kate S. He, David Kleijn, Pedro J. Leitao, Marco Malavasi, Vitezslav Moudry, Jana Mullerova, Harini Nagendra, Signe Normand, Carlo Ricotta, Michael E. Schaepman, Sebastian Schmidtlein, Andrew K. Skidmore, Petra Simova, Michele Torresani, Philip A. Townsend, Woody Turner, Petteri Vihervaara, Martin Wegmann, Jonathan Lenoir
Summary: This paper reviews the spectral species concept and discusses the complexities, challenges, and opportunities to apply this concept given current and future scientific advances in remote sensing.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2022)
Review
Geosciences, Multidisciplinary
Vicente Burchard-Levine, David Riano Arribas, Lara Vilar del Hoyo, Maria del Pilar Martin Isabel, Javier Becerra Corral
Summary: This article reviews existing field sampling protocols and discusses general issues and good practices related to remote sensing of plant traits. A survey was conducted to understand the current field acquisition protocols and practices applied by European institutions participating in the TRuStEE project.
GEOFOCUS-REVISTA INTERNACIONAL DE CIENCIA Y TECNOLOGIA DE LA INFORMACION GEOGRAFICA
(2022)
Article
Environmental Sciences
Shaolin Wu, Baofeng Di, Susan L. Ustin, Man Sing Wong, Basanta Raj Adhikari, Ruixin Zhang, Maoting Luo
Summary: A convolutional neural network model was used to analyze the continuous record of vegetation recovery in earthquake-hit areas by combining different satellite data. The study found significant vegetation changes before and after the earthquake, influenced by the unique topography, policies, and human activities in the earthquake-prone region.
Article
Environmental Sciences
Ruonan Chen, Liangyun Liu, Xinjie Liu, Zhunqiao Liu, Lianhong Gu, Uwe Rascher
Summary: This study presents methods to accurately estimate sub-daily GPP from SIF in evergreen needleleaf forests and demonstrates that the interactions among light, canopy structure, and leaf physiology regulate the SIF-GPP relationship at the canopy scale.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Daniel L. Goldberg, Madankui Tao, Gaige Hunter Kerr, Siqi Ma, Daniel Q. Tong, Arlene M. Fiore, Angela F. Dickens, Zachariah E. Adelman, Susan C. Anenberg
Summary: A novel method is applied in this study to directly use satellite data to evaluate the spatial patterns of urban NOx emissions inventories. The results show that the 108 spatial surrogates used by NEMO are generally appropriate, but there may be underestimation in areas with dense intermodal facilities and overestimation in wealthy communities.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Zhuoyue Hu, Xiaoyan Li, Liyuan Li, Xiaofeng Su, Lin Yang, Yong Zhang, Xingjian Hu, Chun Lin, Yujun Tang, Jian Hao, Xiaojin Sun, Fansheng Chen
Summary: This paper proposes a whisk-broom imaging method using a long-linear-array detector and high-precision scanning mirror to achieve high-resolution and wide-swath thermal infrared data. The method has been implemented in the SDGs satellite and has shown promising test results.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Dandan Wang, Leiqiu Hu, James A. Voogt, Yunhao Chen, Ji Zhou, Gaijing Chang, Jinling Quan, Wenfeng Zhan, Zhizhong Kang
Summary: This study evaluates different schemes for determining model coefficients to quantify and correct the anisotropic impact from remote sensing LST for urban applications. The schemes have consistent results and accurately estimate parameter values, facilitating the broadening of parametric models.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Jamie Tolan, Hung - Yang, Benjamin Nosarzewski, Guillaume Couairon, Huy V. Vo, John Brandt, Justine Spore, Sayantan Majumdar, Daniel Haziza, Janaki Vamaraju, Theo Moutakanni, Piotr Bojanowski, Tracy Johns, Brian White, Tobias Tiecke, Camille Couprie
Summary: Vegetation structure mapping is crucial for understanding the global carbon cycle and monitoring nature-based approaches to climate adaptation and mitigation. This study presents the first high-resolution canopy height maps for California and Sao Paulo, achieved through the use of very high resolution satellite imagery and aerial lidar data. The maps provide valuable tools for forest structure assessment and land use monitoring.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Regina Eckert, Steffen Mauceri, David R. Thompson, Jay E. Fahlen, Philip G. Brodrick
Summary: In this paper, a mathematical framework is proposed to improve the retrieval of surface reflectance and atmospheric parameters by leveraging the expected spatial smoothness of the atmosphere. Experimental results show that this framework can reduce the surface reflectance retrieval error and surface-related biases.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Chongya Jiang, Kaiyu Guan, Yizhi Huang, Maxwell Jong
Summary: This study presents the Field Rover method, which uses vehicle-mounted cameras to collect ground truth data on crop harvesting status. The machine learning approach and remote sensing technology are employed to upscale the results to a regional scale. The accuracy of the remote sensing method in predicting crop harvesting dates is validated through comparison with satellite data.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Oksana V. Lunina, Anton A. Gladkov, Alexey V. Bochalgin
Summary: In this study, an unmanned aerial vehicle (UAV) was used to detect and map surface discontinuities with displacements of a few centimeters, indicating the presence of initial geological deformations. The study found that sediments of alluvial fans are susceptible to various tectonic and exogenous deformational processes, and the interpretation of ultra-high resolution UAV images can help recognize low-amplitude brittle deformations at an early stage. UAV surveys are critical for discerning neotectonic activity and its related hazards over short observation periods.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Feng Zhao, Weiwei Ma, Jun Zhao, Yiqing Guo, Mateen Tariq, Juan Li
Summary: This study presents a data-driven approach to reconstruct the terrestrial SIF spectrum using measurements from the TROPOMI instrument on Sentinel-5 precursor mission. The reconstructed SIF spectrum shows improved spatiotemporal distributions and demonstrates consistency with other datasets, indicating its potential for better understanding of the ecosystem function.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Stephen Stehman, John E. Wagner
Summary: This article investigates optimal sample allocation in stratified random sampling for estimation of accuracy and proportion of area in applications where the target class is rare. The study finds that precision of estimated accuracy has a stronger impact on sample allocation than estimation of proportion of area, and the trade-offs among these estimates become more pronounced as the target class becomes rarer. The results provide quantitative evidence to guide sample allocation decisions in specific applications.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Jingyao Zheng, Tianjie Zhao, Haishen Lu, Defu Zou, Nemesio Rodriguez-Fernandez, Arnaud Mialon, Philippe Richaume, Jianshe Xiao, Jun Ma, Lei Fan, Peilin Song, Yonghua Zhu, Rui Li, Panpan Yao, Qingqing Yang, Shaojie Du, Zhen Wang, Zhiqing Peng, Yuyang Xiong, Zanpin Xing, Lin Zhao, Yann Kerr, Jiancheng Shi
Summary: Soil moisture and freeze/thaw (F/T) play a crucial role in water and heat exchanges at the land-atmosphere interface. This study reports the establishment of a wireless sensor network for soil moisture and temperature over the permafrost region of Tibetan Plateau. Satellite-based surface soil moisture (SSM) and F/T products were evaluated using ground-based measurements. The results show the reliability of L-band passive microwave SSM and F/T products, while existing F/T products display earlier freezing and later thawing, leading to unsatisfactory accuracy.
REMOTE SENSING OF ENVIRONMENT
(2024)
