Article
Meteorology & Atmospheric Sciences
Kyle Wright, Paola Passalacqua, Marc Simard, Cathleen E. Jones
Summary: Hydrodynamic models are essential but limited in practical application in coastal environments. This study presents a method using remote sensing data to improve the models and reduce computational demand by embedding landscape connectivity information. The results show that this method decreases computational demand without sacrificing accuracy.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2022)
Review
Geography, Physical
Teja Kattenborn, Jens Leitloff, Felix Schiefer, Stefan Hinz
Summary: Identifying and characterizing vascular plants in time and space is essential for various disciplines such as forestry, conservation, and agriculture. Remote sensing technology, specifically utilizing deep learning methods like Convolutional Neural Networks (CNN), is crucial in improving efficiency and accuracy in extracting vegetation properties from remote sensing imagery. The modularity and flexibility of CNN frameworks allow for adaptation to different architectures, particularly for multi-modal or multi-temporal applications, ultimately leading to a new era of vegetation remote sensing.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2021)
Review
Environmental Sciences
Qing Zhao, Jiayi Pan, Adam Thomas Devlin, Maochuan Tang, Chengfang Yao, Virginia Zamparelli, Francesco Falabella, Antonio Pepe
Summary: This paper provides an overview of the application of remote sensing technologies in studying coastal and delta river regions and their impact on climate change. It emphasizes the role of satellite sensor constellations for Earth Observation and summarizes the characteristics of key technologies. The paper focuses on various disaster risks that affect coastal and megacity areas.
Article
Engineering, Multidisciplinary
Mingshun Xiang, Qiuchi Deng, Linsen Duan, Jin Yang, Chunjian Wang, Jiashuo Liu, Mengli Liu
Summary: This study uses remote sensing and Geographic Information System (GIS) techniques to investigate the spatiotemporal differentiation of vegetation coverage in the earthquake stricken area of Beichuan County, Sichuan Province. The results show that the overall vegetation coverage in Beichuan County is high, and the earthquake has caused severe damage to areas with high vegetation coverage. From 2007 to 2020, the vegetation coverage gradually recovered with noticeable spatiotemporal differences. Elevation is found to be the most influential factor on vegetation coverage.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Biodiversity Conservation
Yuan Chen, Meixia Lin, Tao Lin, Junmao Zhang, Laurence Jones, Xia Yao, Hongkai Geng, Yuqin Liu, Guoqin Zhang, Xin Cao, Hong Ye, Yulin Zhan
Summary: Vegetation phenology changes caused by urbanization could lead to shifts in ecosystem services in urban areas and impact on human health. The characteristics of urbanization affect vegetation phenology need to be emphasized, especially in China with a complex natural environment and rapid urbanization background. In this study, we used remote sensing-based phenological data (MODIS MCD12Q2) to analyze the spatial heterogeneity of vegetation phenology caused by urbanization between urban and non-urban areas in 320 cities across China. We found a significant difference between vegetation phenology in urban and its corresponding non-urban area at national and the regional scale.
ECOLOGICAL INDICATORS
(2023)
Article
Geosciences, Multidisciplinary
Wayana Dolan, Tamlin M. Pavelsky, Xiao Yang
Summary: This study developed a method based on satellite observations to detect lake connectivity variations in the Arctic Colville River Delta. Most lakes remain connected or disconnected, but about 10% show variable connectivity, with higher connectivity during periods of high river discharge. Changes in connectivity affect lake ice phenology and are important when studying the biogeochemistry of Arctic delta lakes.
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
(2021)
Article
Environmental Sciences
Qi Chen, Joris Timmermans, Wen Wen, Peter M. van Bodegom
Summary: Monitoring the impact of drought is crucial in the face of climate change. This study presents a new framework that allows for a detailed exploration of the relationship between drought and its impact on ecosystems. The framework focuses on estimating the temporal evolution and anomalies of both hydrological and ecosystem conditions during a drought event. The study evaluates the vulnerability of various vegetation types to drought using high spatiotemporal resolution data from the Netherlands and Belgium in 2018. The results reveal differential vulnerability among ecosystems and provide insights for future drought impact predictions.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Wanshu Nie, Sujay Kumar, Rajat Bindlish, Pang-Wei Liu, Shugong Wang
Summary: This study demonstrates the potential of using remotely sensed vegetation and soil moisture observations to constrain irrigation estimation, improving the accuracy of model parameterization and understanding of the spatial patterns of irrigation impact. This has significant implications for water management in data-sparse regions.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Green & Sustainable Science & Technology
Nikola Cvetkovic, Aleksandar Dokovic, Milan Dobrota, Milan Radojicic
Summary: This study describes a methodology for detecting corn stress using RGB imagery and vegetation indices. The results showed high accuracy in detecting corn stress, confirming that this method can be used in various setups and is not dependent on specific sensors or vegetation indices.
Article
Plant Sciences
Mia T. Wavrek, Eric Carr, Sharon Jean-Philippe, Michael L. McKinney
Summary: We used drone remote sensing to analyze the relationship between field-collected forest health indicators and four Vegetative Indices (VI) in order to improve conservation management of urban forests. Our findings showed that the calculated VI values from drone imagery were significantly related to ecological concerns, forest composition, and equitability. Despite the limitations of the small number of plots, our results indicate the potential for drone remote sensing as a low-cost and efficient tool for urban forest management.
URBAN FORESTRY & URBAN GREENING
(2023)
Article
Geochemistry & Geophysics
Feng Zhou, Chao Xu, Renlong Hang, Rui Zhang, Qingshan Liu
Summary: Recent deep learning methods for change detection focus on extracting more discriminative context within individual images. However, due to seasonal change and noise, the appearance of objects tends to vary among different scenes, leading to a lack of intraimage context representation and the presence of pseudo changes in detection results. To address this issue, a context aggregation network (CANet) is proposed to mine interimage context across training images for enhancing intraimage context. CANet outperforms state-of-the-art methods in three benchmark datasets, demonstrating its effectiveness in change detection.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Environmental Sciences
Tehseen Javed, Yi Li, Kai Feng, Olusola O. Ayantobo, Shakeel Ahmad, Xinguo Chen, Sadaf Rashid, Sovannaka Suon
Summary: The study found that air temperatures in all sub-regions of China were significantly increasing, with varying trends in precipitation. 2011 and 2016 were identified as extremely dry and wet years. Rapid changes in vegetation phenology and productivity were observed between these two years.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Geochemistry & Geophysics
Tiange Zhang, Feng Gao, Junyu Dong, Qian Du
Summary: The existing remote sensing change detection methods are often affected by seasonal variations, leading to false detections. The proposed image translation method uses a style-based recalibration module and a new style discriminator to improve the detection performance significantly.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Biodiversity Conservation
Yuwen Pang, Yuxin Huang, Li He, Yinying Zhou, Jun Sui, Junfeng Xu
Summary: This study investigated the vegetation phenology of two bogs in northern China using remote sensing techniques, finding that precipitation and minimum temperature were the main drivers of growth. While the life cycles of vegetation varied among different communities, there was no significant delayed or extended trend overall.
ECOLOGICAL INDICATORS
(2021)
Article
Plant Sciences
Fenghua Yu, Zhongyu Jin, Sien Guo, Zhonghui Guo, Honggang Zhang, Tongyu Xu, Chunling Chen
Summary: Rice is a vital food crop, and the presence of weeds can significantly impact its production. The conventional method of using herbicides suffers from inaccuracies and environmental concerns. This study introduces a new approach using UAV multispectral images to create a weed identification index. The results showed that the method was effective in distinguishing weeds from rice plants, providing a more accurate and efficient method for weed identification in rice fields.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Geosciences, Multidisciplinary
Alex Miltenberger, Tapan Mukerji, Jayaram Hariharan, Paola Passalacqua, Erik Nesvold
Summary: This study proposes a probabilistic framework based on Monte Carlo and metrics to test the ability of numerical delta models in capturing the link between surface dynamics and subsurface structures. The results show that certain delta surface features are informative of the spatial organization of sediment in the subsurface, while others are less informative. Key differences between experimental and numerical surface dynamics are likely due to limitations in numerical model resolution and assumptions in the model physics.
MATHEMATICAL GEOSCIENCES
(2022)
Review
Geochemistry & Geophysics
Kun Zhao, Giovanni Coco, Zheng Gong, Stephen E. Darby, Stefano Lanzoni, Fan Xu, Kaili Zhang, Ian Townend
Summary: Bank retreat plays a fundamental role in fluvial and estuarine dynamics, affecting channel evolution, sediment supply, and habitat diversity. This review examines mechanisms, observations, and modeling of bank retreat in rivers and tidal channels. It finds that external forces have similar effects on bank stability and failure mode in both river and tidal environments. The review discusses existing data and modeling approaches, highlighting the need to consider hydraulic and geotechnical controls. It proposes a new hierarchy of modeling styles and emphasizes the importance of understanding multifactor-driven bank retreat at different temporal scales.
REVIEWS OF GEOPHYSICS
(2022)
Article
Environmental Sciences
A. J. Chadwick, E. Steel, P. Passalacqua, C. Paola
Summary: Successful management of flooding and erosion hazards depends on predicting river channel shape and flow duration. Unlike single-thread channels, braided channels do not exhibit a balance between bank erosion and accretion, causing individual threads to widen and infill until they are abandoned. Threshold channel theory accurately predicts thread width.
WATER RESOURCES RESEARCH
(2022)
Article
Meteorology & Atmospheric Sciences
Kyle Wright, Paola Passalacqua, Marc Simard, Cathleen E. Jones
Summary: Hydrodynamic models are essential but limited in practical application in coastal environments. This study presents a method using remote sensing data to improve the models and reduce computational demand by embedding landscape connectivity information. The results show that this method decreases computational demand without sacrificing accuracy.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2022)
Article
Geosciences, Multidisciplinary
Ryan Sincavage, Man Liang, Jennifer Pickering, Steven Goodbred, Paola Passalacqua
Summary: Favorable topographic gradients and channel bed aggradation are often cited as primers for river channel avulsion. However, a localized backwater effect from a seasonal lake that forms in Sylhet Basin, known as a hydraulic barrier, is not a plausible mechanism for channel steering unless water depths are increased beyond the physical dimensions of the basin. The introduction of a scoured antecedent channel along the western margin induces a strong preference for bypass of the central basin.
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
(2022)
Article
Environmental Sciences
Zhongyuan Xu, Jayaram Hariharan, Paola Passalacqua, Elisabeth Steel, Austin Chadwick, Chris Paola, Anner Paldor, Holly A. Michael
Summary: This study investigates the vulnerability of coastal deltaic aquifers to seawater intrusion, contamination, and groundwater abstraction, as well as the impact of surface deposition changes on the distribution and transport of groundwater solutes. By simulating groundwater flow and solute transport under different contamination scenarios, the research reveals that the vulnerability of deltaic aquifers to seawater intrusion is correlated with sand fraction, and vertical transport of contaminants is influenced by channel stacking patterns.
WATER RESOURCES RESEARCH
(2022)
Article
Geosciences, Multidisciplinary
Jayaram Hariharan, Paola Passalacqua, Zhongyuan Xu, Holly A. Michael, Elisabeth Steel, Austin Chadwick, Chris Paola, Andrew J. Moodie
Summary: Climate change raises sea levels globally, which has adverse effects on river deltas and coastal communities. This study uses a numerical model to simulate deltaic evolution under different sea-level rise trajectories, finding that surface and subsurface dynamics change with higher rates of sea-level rise. The trajectory and magnitude of sea-level rise impact delta surface evolution and subsurface connectivity. This work improves future prediction of delta evolution and subsurface changes as sea levels continue to rise.
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
(2022)
Article
Geosciences, Multidisciplinary
Kyle Wright, Jayaram Hariharan, Paola Passalacqua, Gerard Salter, Michael P. Lamb
Summary: Understanding the partitioning of fluvially transported materials in river deltas is crucial for predicting their morphological changes and the fate of environmental constituents and contaminants. However, translating water-based partitioning estimates into fluxes of nonwater materials can be challenging due to uneven distribution and characteristic transport pathways. In this study, a novel reduced-complexity modeling approach is presented to simulate patterns of transport of suspended fluvial inputs influenced by vertical stratification and topographic steering.
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
(2022)
Article
Geosciences, Multidisciplinary
Carmine Donatelli, Paola Passalacqua, Kyle Wright, Gerard Salter, Michael P. Lamb, Daniel Jensen, Sergio Fagherazzi
Summary: Deltas are threatened by sea-level rise, sediment starvation, and subsidence. Remote sensing can be used to estimate flow velocities in deltas by leveraging the synoptic information offered by the technology. This approach provides a more comprehensive understanding of the spatiotemporal variability in flow velocity, which is crucial for forecasting the fate of these fragile ecosystems.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Geosciences, Multidisciplinary
L. Geng, S. Lanzoni, A. D'Alpaos, A. Sgarabotto, Z. Gong
Summary: In this study, a numerical model was used to investigate the effects of initial bathymetry on the ontogeny of tidal networks in a tidal basin. It was found that different perturbation densities have mild effects on the growth of tidal networks, while changes in perturbation distribution significantly affect the complexity and structure of the channel networks. Vegetation growth was found to increase channel length and narrowness, leading to higher complexity and drainage efficiency of the system.
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
(2023)
Article
Geosciences, Multidisciplinary
Zhongyuan Xu, Mahfuzur R. Khan, Kazi Matin Ahmed, Anwar Zahid, Jayaram Hariharan, Paola Passalacqua, Elisabeth Steel, Austin Chadwick, Chris Paola, Steven L. L. Goodbred Jr, Anner Paldor, Holly A. Michael
Summary: Groundwater is the primary water source in the Bengal Delta, but it is under threat from contamination. By using surface information to model subsurface features, the predictions of groundwater flow can be improved. The land surface features in active deltas play a significant role in evaluating groundwater vulnerability to contamination.
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
(2023)
Article
Geosciences, Multidisciplinary
Carmine Donatelli, Paola Passalacqua, Daniel Jensen, Talib Oliver-Cabrera, Cathleen E. Jones, Sergio Fagherazzi
Summary: Water movement in coastal wetlands is influenced by topography, vegetation characteristics, and hydrological processes. This study utilizes remote sensing data to analyze water-level changes and vegetation contributions in marshes, revealing the importance of small geomorphic features and the minor role of vegetation in water retention.
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
(2023)
Article
Water Resources
Matthew Preisser, Paola Passalacqua, R. Patrick Bixler, Stephen Boyles
Summary: Government and non-governmental agencies are making efforts to quantify the disproportionate effects of climate risk on vulnerable populations and create more resilient communities. This study addresses the limitation of using sociodemographic based indices to measure vulnerability and proposes a model based on open-source data to assess individuals' access to critical resources during and after a flood event. The results show that the most vulnerable households are the least resilient and experience the largest shifts in metric values, while the least vulnerable quarter of the population carries the smallest burdens. The model developed can assist emergency planning stakeholders in identifying households that require specific resources in real-time.
FRONTIERS IN WATER
(2023)
Article
Green & Sustainable Science & Technology
R. Patrick Bixler, Marc Coudert, Steven M. Richter, Jessica M. Jones, Carmen Llanes Pulido, Nika Akhavan, Matt Bartos, Paola Passalacqua, Dev Niyogi
Summary: The growing frequency and intensity of extreme weather events have disproportionately impacted underserved, underrepresented, and marginalized communities in urban areas. Knowledge co-production is an approach that seeks to address this issue by involving these communities in sustainability and resilience research. This paper presents a reflexive co-production framework and assesses three initiatives in Austin, Texas, USA, to enhance urban resilience. The authors establish criteria to evaluate co-production and conclude with recommendations for advancing reflexive co-production.
FRONTIERS IN SUSTAINABLE CITIES
(2022)
Article
Geosciences, Multidisciplinary
Matthew Preisser, Paola Passalacqua, R. Patrick Bixler, Julian Hofmann
Summary: The increased interest in merging compound flood hazards and social vulnerability has led to advancements in flood impact mapping. However, the current methods to estimate event-specific compound flooding at the household level require high-performance computing resources that are often not available to local stakeholders. In this study, a methodology is developed to generate a flood impact index at the household level in near-real time, using high-resolution elevation data and a social vulnerability index. The methodology is tested using the 2015 Memorial Day flood in Austin, Texas, and is shown to accurately classify household impacts for a majority of households.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2022)