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Comprehensive assessment of Spatiotemporal fusion methods in inland water monitoring GISci. Remote Sens. (IF 6.7) Pub Date : 2024-04-19 Qiang Xu, Yulong Guo, Weiqiang Chen, Guangxing Ji, Lingfei Shi, Yuan Li, Zhubin Zheng, Chengzhi Sun, Huimin Zhu
Monitoring rapidly changing inland water bodies using remote sensing requires a temporal resolution of at least 3 days and a spatial resolution of at least 30 meters. However, the current satellite...
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Oil spill detection and classification through deep learning and tailored data augmentation Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-20 Ngoc An Bui, Youngon Oh, Impyeong Lee
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A communication-efficient distributed deep learning remote sensing image change detection framework Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-20 Hongquan Cheng, Jie Zheng, Huayi Wu, Kunlun Qi, Lihua He
With the introduction of deep learning methods, the computation required for remote sensing change detection has significantly increased, and distributed computing is applied to remote sensing change detection to improve computational efficiency. However, due to the large size of deep learning models, the time-consuming gradient transfer during distributed model training weakens the acceleration effectiveness
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A graph-based deep learning framework for field scale wheat yield estimation Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-19 Dong Han, Pengxin Wang, Kevin Tansey, Yue Zhang, Hongmei Li
Accurate estimation of crop yield at the field scale plays a pivotal role in optimizing agricultural production and food security. Conventional studies have mainly focused on employing data-driven models for crop yield estimation at the regional scale, while large challenges may occur when attempting to apply these methods at the field scale. This is primarily due to the inherent complexity of obtaining
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Does the Chinese coastal ports disruption affect the reliability of the maritime network? Evidence from port importance and typhoon risk Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-18 Naixia Mou, Huanqing Xu, Yong Liu, Guoqing Li, Lingxian Zhang, César Ducruet, Xianghao Zhang, Yanci Wang, Tengfei Yang
Traditional studies typically employed random and deliberate attack methods to explore port failure, overlooking real-world factors. In this research, we focus on exploring the reliability of the Maritime Silk Road (MSR) container shipping networks after the failure of Chinese coastal ports due to the impact of typhoons. This article analyzes AIS trajectory data and typhoon occurrence data through
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Robust loop closure detection and relocalization with semantic-line graph matching constraints in indoor environments Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-18 Xiqi Wang, Shunyi Zheng, Xiaohu Lin, Qiyuan Zhang, Xiaojian Liu
Loop closure detection (LCD) plays an essential role in the Simultaneous Localization and Mapping (SLAM) process, effectively reducing cumulative trajectory errors. However, conventional LCD methods often encounter challenges when dealing with variations in illumination, changes in viewpoint, and environments with weak textures. This is due to their reliance on low-level geometric or image features
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Monitoring cyanobacterial blooms in China’s large lakes based on MODIS from both Terra and Aqua satellites with a novel automatic approach Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-18 Yichen Du, Junsheng Li, Bing Zhang, Kai Yan, Huan Zhao, Chen Wang, Yunchang Mu, Fangfang Zhang, Shenglei Wang, Mengqiu Wang
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Accelerate spatiotemporal fusion for large-scale applications Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-18 Yunfei Li, Liangli Meng, Huaizhang Sun, Qian Shi, Jun Li, Yaotong Cai
Spatiotemporal fusion (STF) can provide dense satellite image series with high spatial resolution. However, most spatiotemporal fusion approaches are time-consuming, which seriously limits their applicability in large-scale areas. To address this problem, some efforts have been paid for accelerating STF approaches with help of graphics processing units (GPUs), whose effect is dramatic. However, this
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Explainable artificial intelligence framework for urban global digital elevation model correction based on the SHapley additive explanation-random forest algorithm considering spatial heterogeneity and factor optimization Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-17 Chuanfa Chen, Yan Liu, Yanyan Li, Dongxing Chen
Satellite global digital elevation models (GDEMs) suffer from positive biases in urban areas due to building artifacts. While various machine learning (ML)-based methods have been proposed to remove these biases, their generalizability is limited by spatial heterogeneity and redundancy in prediction factors across different regions. Therefore, to investigate the spatial heterogeneity of prediction
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Vectorizing historical maps with topological consistency: A hybrid approach using transformers and contour-based instance segmentation Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-17 Xue Xia, Tao Zhang, Magnus Heitzler, Lorenz Hurni
Reducing the complexity of the workflow for historical map vectorization is essential to promote the widespread utilization of historical spatial data. Traditional pixel-wise segmentation followed by vectorization workflows suffer from tedious post-processing steps. To address this challenge, we introduce an innovative pure vector-based workflow. This workflow predicts object contours in vector format
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Spatio-temporal dynamics of plastic mulch use in crop rotation at parcel and regional scales Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-17 Elsy Ibrahim, Anne Gobin
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Wild insects and honey bees are equally important to crop yields in a global analysis Glob. Ecol. Biogeogr. (IF 6.4) Pub Date : 2024-04-17 James Reilly, Ignasi Bartomeus, Dylan Simpson, Alfonso Allen‐Perkins, Lucas Garibaldi, Rachael Winfree
AimMost of the world's food crops are dependent on pollinators. However, there is a great deal of uncertainty in the strength of this relationship, especially regarding the relative contributions of the honey bee (often a managed species) and wild insects to crop yields on a global scale. Previous data syntheses have likewise reached differing conclusions on whether pollinator species diversity, or
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Spatial allocation of heavy commercial vehicles parking areas through geo-fencing J. Transp. Geogr. (IF 5.899) Pub Date : 2024-04-17 Jishi Wu, Tao Feng, Peng Jia, Gen Li
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Determining the number and location of micro-consolidation centres as a solution to growing e-commerce demand J. Transp. Geogr. (IF 5.899) Pub Date : 2024-04-17 Masoud Kahalimoghadam, Russell G. Thompson, Abbas Rajabifard
-commerce's rapid expansion has transformed consumer shopping habits and business operations. While it offers the potential to reduce customer trips, it has also contributed to increased vehicle kilometres travelled (VKT) by delivery vehicles, resulting in elevated greenhouse gas (GHG) emissions, especially in last-mile deliveries. This paper proposes a spatial approach to address the uncapacitated
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Destination unknown: Examining wildfire evacuee trips using GPS data J. Transp. Geogr. (IF 5.899) Pub Date : 2024-04-17 Thomas J. Cova, Yuran Sun, Xilei Zhao, Yepeng Liu, Erica D. Kuligowski, Nima Janfeshanaraghi, Ruggiero Lovreglio
Effective wildfire evacuation planning requires understanding where evacuees are likely to travel and temporarily reside. Detailed information on evacuee destinations is a valuable input into critical decisions related to evacuation traffic control, shelter assignment, and return-entry planning. To improve our understanding of where evacuees stay, we analyzed GPS data generated by mobile devices from
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Exploring the influence of social relations and knowledge of the urban environment on leisure travel J. Transp. Geogr. (IF 5.899) Pub Date : 2024-04-17 Benjamin Gramsch-Calvo, Kay W. Axhausen
Most leisure travel is motivated by interactions within one's social network, which influence the choice of activities undertaken in the city. In this paper, we employ a structural regression model to distinguish between the direct effect of social relations on leisure travel—measured as venue variety and activity space—and a complementary effect through the knowledge of the urban environment. The
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An integrated approach for urban green travel environments: Planning factors, benefits and barriers as perceived by users and planners J. Transp. Geogr. (IF 5.899) Pub Date : 2024-04-17 Yu Liu, Megan Lynn Maurer, Trine Agervig Carstensen, Anne Margrethe Wagner, Hans Skov-Petersen, Anton Stahl Olafsson
Integrated urban infrastructures provide multiple benefits to people and society. Efforts to develop green spaces and active mobility infrastructures both share concerns about the environment and public health but are understudied in an integrated manner. This study focuses on this integration in core urban areas through urban green travel environments. The involvement of both lay and expert knowledge
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Focused information learning method for change detection based on segmentation with limited annotations Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-16 H. Ahn, S. Chung, S. Park, D. Kim
Recent advancements have significantly improved the field of segmentation-based change detection, particularly in the context of remote-sensing images. However, change detection datasets generally lack segmentation annotations, and the required labeling process is resource-intensive. We propose an improved change detection method based on segmentation to address this challenge. First, change detection
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Remote sensing crop water productivity and water use for sustainable agriculture during extreme weather events in South Africa Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-16 Kudzai S. Mpakairi, Timothy Dube, Mbulisi Sibanda, Onisimo Mutanga
The impact of climate variability and extreme weather events on agricultural productivity in arid environments has become a focal point in contemporary research. Monitoring crop water productivity (CWP) is critical and urgently required especially in the arid regions where agriculture consumes an above-average portion of the available fresh water resources. In this context, this study aimed to demonstrate
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Topographic knowledge-aware network for automatic small-scale impact crater detection from lunar digital elevation models Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-16 Yang Juntao, Zhang Shuowei, Li Lin, Kang Zhizhong, Ma Yuechao
Impact craters represent the most prevalent and prominent topographical features on the surfaces of planets. They provide crucial insights into the internal and surface-level geological activities of planets but are difficult to identify from digital topographic data due to heterogeneous planetary surfaces and lack of distinguishing features. Previous studies, which implemented convolutional neural
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Unpacking the cultural aspects of transport automation governance in Finland: An interview study J. Transp. Geogr. (IF 5.899) Pub Date : 2024-04-16 Janne J. Olin, Miloš N. Mladenović
The culture that governance networks uphold is an often-overlooked aspect in transport policy studies. Nonetheless, governance culture plays a major part in how governing is done in practice. This article explores the cultural elements that have constituted the Finnish governance approach to road transport automation. Through in-depth interviews with a range of governance actors, we identified several
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SADNet: Space-aware DeepLab network for Urban-Scale point clouds semantic segmentation Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-15 Wenxiao Zhan, Jing Chen
Semantic segmentation of urban-scale point clouds can effectively assist people in understanding and perceiving 3D urban scenes. Although a considerable number of deep learning models for the semantic segmentation of point clouds have been proposed, some methods are plagued by information loss caused by sampling and insufficient perception of the spatial relationship between points. To address this
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Who uses transit in the journey to work? Multimodality, equity, and planning implications in México City J. Transp. Geogr. (IF 5.899) Pub Date : 2024-04-15 Dorian Antonio Bautista-Hernández, Alejandra Trejo Nieto
Increasing mobility needs in developing countries demand the coordination and development of robust urban transit systems. However, several factors lead to the emergence of fragile and disintegrated systems, where several subsystems work under different schemes of formality. In this context, transit travel tends to be highly multimodal, which at the trip level has been scarcely studied. In this study
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Confounded Local Inference: Extending Local Moran Statistics to Handle Confounding Ann. Am. Assoc. Geogr. (IF 3.982) Pub Date : 2024-04-12 Levi John Wolf
Local statistical analysis has long been of interest to social and environmental scientists who analyze geographic data. Research into local spatial statistics experienced a step-change in the mid-...
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Putting the Place in Flow Restructures: Networks, Assembled Positionalities, and the Special Economic Zone Development Ann. Am. Assoc. Geogr. (IF 3.982) Pub Date : 2024-04-12 June Wang, Chao Yao
This article attempts to further develop the positionality of place through aggregated effects of vision construction by different positioned actants. We attempt to integrate two concepts: the femi...
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Gentrification and Its Variegated Emplacements: The Politics of Microregeneration in Shenzhen, China Ann. Am. Assoc. Geogr. (IF 3.982) Pub Date : 2024-04-12 Shaun S. K. Teo
This article illuminates the variegated possibilities arising from gentrification by analyzing it through the lens of emplacement. It asks how gentrification can be operationalized and managed in w...
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Challenging the Gender Neutrality of On-Demand Mobility Platforms Ann. Am. Assoc. Geogr. (IF 3.982) Pub Date : 2024-04-12 Fang Bian, Si Qiao
In this article we chart a conceptual path to challenge the presumed gender neutrality of on-demand mobility platforms (ODMPs) as an effort to unlock an entry point for feminist critiques and inter...
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Enhancing Urban Resilience Through Spatial Interaction-Based City Management Zoning Ann. Am. Assoc. Geogr. (IF 3.982) Pub Date : 2024-04-12 Hezhishi Jiang, Liyan Xu, Jianing Li, Jinyuan Liu, Yao Shen
Good city management is essential in mitigating the impact of various crisis events and thus enhances urban resilience. The current zoning system that underlies China’s city management system, howe...
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Mapping tobacco planting areas in smallholder farmlands using Phenological-Spatial-Temporal LSTM from time-series Sentinel-1 SAR images Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-13 Mengmeng Li, Xiaomin Feng, Mariana Belgiu
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occTest: An integrated approach for quality control of species occurrence data Glob. Ecol. Biogeogr. (IF 6.4) Pub Date : 2024-04-13 Josep M. Serra‐Diaz, Jeremy Borderieux, Brian Maitner, Coline C. F. Boonman, Daniel Park, Wen‐Yong Guo, Arnaud Callebaut, Brian J. Enquist, Jens‐C. Svenning, Cory Merow
AimSpecies occurrence data are valuable information that enables one to estimate geographical distributions, characterize niches and their evolution, and guide spatial conservation planning. Rapid increases in species occurrence data stem from increasing digitization and aggregation efforts, and citizen science initiatives. However, persistent quality issues in occurrence data can impact the accuracy
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Spatial-temporal identification of commuters using trip chain data from non-motorized mode incentive program and public transportation J. Transp. Geogr. (IF 5.899) Pub Date : 2024-04-13 Linchang Shi, Jiayu Yang, Jaeyoung Jay Lee, Jun Bai, Ingon Ryu, Keechoo Choi
Distinguishing commuters from non-commuters is important for transportation planning and traffic demand management. A framework to identify commuters using public transit is proposed based on a spatial-temporal clustering algorithm. The framework extracts commute trips by mining spatial-temporal travel patterns depending on whether the travelers' trip chains are complete. The commuting features in
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Correcting land surface temperature from thermal imager by considering heterogeneous emissivity Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-12 Wenjie Yan, Jiawei Jiang, Lanwu He, Wenli Zhao, Richard Nair, Xu Wang, Yujiu Xiong
It is fundamental to obtain accurate land surface temperature (LST) to study surface energy process. Infrared thermal imagers are commonly used for deriving LST on the basis of radiance measurements. However, when deriving LST from brightness temperature of a blackbody in thermal imagers, thermal imagers only allow setting a fixed land surface emissivity (LSE). This causes uncertainty in retrieving
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Climbing mechanisms as a central trait to understand the ecology of lianas across the tropics Glob. Ecol. Biogeogr. (IF 6.4) Pub Date : 2024-04-12 Arildo S. Dias, Rafael S. Oliveira, Fernando R. Martins, Frans Bongers, Niels P. R. Anten, Frank J. Sterck
AimsLianas are a central component of tropical forests. However, how the type of climbing mechanisms is related to the functional and taxonomic diversity of lianas across the tropics, remains largely unresolved. Here, we tested two main hypotheses: (i) the functional diversity of lianas differs with climbing mechanism (active and passive) and (ii) the association between taxonomic diversity with contemporary
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KF‐metaweb: A trophic metaweb of freshwater ecosystems of South Korea Glob. Ecol. Biogeogr. (IF 6.4) Pub Date : 2024-04-12 Sagar Adhurya, Da‐Yeong Lee, Young‐Seuk Park
MotivationThe metaweb is a dictionary of nodes and their potential interactions developed for a particular region, focusing on a particular type of ecosystem. Based on the local biodiversity information at different spatial and temporal scales, the regional metaweb can be easily decomposed into local webs. The generated local webs are useful for understanding spatiotemporal variations in ecological
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Using shortest path routing to assess cycling networks J. Transp. Geogr. (IF 5.899) Pub Date : 2024-04-12 Reid Passmore, Kari Watkins, Randall Guensler
The lack of cycling infrastructure is a major deterrent to cycling for transportation in the U.S., yet planners and engineers may lack the tools to assess and communicate the potential network impacts of proposed cycling infrastructure. Without these tools, cycling infrastructure may be built ad hoc or where it is politically convenient, instead of where it would be most effective at improving mobility
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MCDNet: Multilevel cloud detection network for remote sensing images based on dual-perspective change-guided and multi-scale feature fusion Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-11 Junwu Dong, Yanhui Wang, Yang Yang, Mengqin Yang, Jun Chen
Cloud detection plays a crucial role in the preprocessing of optical remote sensing images. While extensive deep learning-based methods have shown strong performance in detecting thick clouds, their ability to identify thin and broken clouds is often inadequate due to their sparse distribution, semi-transparency, and similarity to background regions. To address this limitation, we introduce a multilevel
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Hierarchical local global transformer for point clouds analysis Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-11 Dilong Li, Shenghong Zheng, Ziyi Chen, Xiang Li, Lanying Wang, Jixiang Du
Transformer networks have demonstrated remarkable performance in point cloud analysis. However, achieving a balance between local regional context and global long-range context learning remains a significant challenge. In this paper, we propose a Hierarchical Local Global Transformer Network (LGTNet), designed to capture local and global contexts in a hierarchical manner. Specifically, we employ serial
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How experiments with superblocks in Vienna shape climate and health outcomes and interact with the urban planning regime J. Transp. Geogr. (IF 5.899) Pub Date : 2024-04-11 Anna-Katharina Brenner, Willi Haas, Christian Rudloff, Florian Lorenz, Georg Wieser, Helmut Haberl, Dominik Wiedenhofer, Melanie Pichler
Superblocks are traffic-calmed neighborhoods that contribute to climate change mitigation and improve living and health conditions of inhabitants without requiring extensive reconstructions. This article investigates experiments with superblocks in Vienna (Austria) from initial discussion to the first experimental implementation. We use an integrated mixed-method approach: First, we examined potential
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Semi-supervised object detection with uncurated unlabeled data for remote sensing images Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-10 Nanqing Liu, Xun Xu, Yingjie Gao, Yitao Zhao, Heng-Chao Li
Annotating remote sensing images (RSIs) poses a significant challenge, primarily due to its labor-intensive nature. Semi-supervised object detection (SSOD) methods address this challenge by generating pseudo-labels for unlabeled data, assuming that all classes present in the unlabeled dataset are also represented in the labeled data. However, real-world scenarios may lead to a mixture of out-of-distribution
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Urban Visual Intelligence: Studying Cities with Artificial Intelligence and Street-Level Imagery Ann. Am. Assoc. Geogr. (IF 3.982) Pub Date : 2024-04-08 Fan Zhang, Arianna Salazar-Miranda, Fábio Duarte, Lawrence Vale, Gary Hack, Min Chen, Yu Liu, Michael Batty, Carlo Ratti
The visual dimension of cities has been a fundamental subject in urban studies since the pioneering work of late-nineteenth- to mid-twentieth-century scholars such as Camillo Sitte, Kevin Lynch, Ru...
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Interpreting differences in access and accessibility to urban greenspace through geospatial analysis Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-09 Gang Lin, Yongze Song, Dong Xu, Mohammad Shahidul Hasan Swapan, Peng Wu, Weitao Hou, Zhuoyao Xiao
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High-resolution mapping of GDP using multi-scale feature fusion by integrating remote sensing and POI data Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-09 Nan Wu, Jining Yan, Dong Liang, Zhongchang Sun, Rajiv Ranjan, Jun Li
High-resolution spatial distribution maps of GDP are essential for accurately analyzing economic development, industrial layout, and urbanization processes. However, the currently accessible GDP gridded datasets are limited in number and resolution. Furthermore, high-resolution GDP mapping remains a challenge due to the complex sectoral structure of GDP, which encompasses agriculture, industry, and
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Harmonizing atmospheric ozone column concentrations over the Tibetan Plateau from 2005 to 2022 using OMI and Sentinel-5P TROPOMI: A deep learning approach Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-09 Changjiang Shi, Zhijie Zhang, Shengqing Xiong, Wangang Chen, Wanchang Zhang, Qian Zhang, Xingmao Wang
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Indoor localization and trajectory correction with point cloud-derived backbone map Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-09 Zhenqi Zheng, Xiao Sun, Zhichao Wen, Xuan Wang, Wenlei Fan, Hongji Yan, You Li
As a commonly used indoor internet-of-things (IoT) positioning method, fingerprinting is frequently carried out through the fusion of inertial and WiFi or magnetic data. Nevertheless, signals like magnetic intensity and WiFi received signal strength tend to fluctuate and cannot always provide high accuracy. Thus, other available data can be introduced to maintain positioning continuity and reliability
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Microclimate, an important part of ecology and biogeography Glob. Ecol. Biogeogr. (IF 6.4) Pub Date : 2024-04-09 Julia Kemppinen, Jonas J. Lembrechts, Koenraad Van Meerbeek, Jofre Carnicer, Nathalie Isabelle Chardon, Paul Kardol, Jonathan Lenoir, Daijun Liu, Ilya Maclean, Jan Pergl, Patrick Saccone, Rebecca A. Senior, Ting Shen, Sandra Słowińska, Vigdis Vandvik, Jonathan von Oppen, Juha Aalto, Biruk Ayalew, Olivia Bates, Cleo Bertelsmeier, Romain Bertrand, Rémy Beugnon, Jeremy Borderieux, Josef Brůna, Lauren
Brief introduction: What are microclimates and why are they important?Microclimate science has developed into a global discipline. Microclimate science is increasingly used to understand and mitigate climate and biodiversity shifts. Here, we provide an overview of the current status of microclimate ecology and biogeography in terrestrial ecosystems, and where this field is heading next.Microclimate
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Detecting anomalous commuting patterns: Mismatch between urban land attractiveness and commuting activities J. Transp. Geogr. (IF 5.899) Pub Date : 2024-04-09 Zhaomin Tong, Ziyi Zhang, Rui An, Yaolin Liu, Huiting Chen, Jiwei Xu, Shihang Fu
Rapid urbanization has dramatically changed the urban spatial structures, causing a mismatch between residents' commuting activities and the optimal status of the current urban facility configuration. However, limited attention has been paid to detecting these mismatched commuting patterns and their associations with built environmental characteristics. To maximize the effectiveness of urban facility
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Are transhipment ports more efficient in the Mediterranean Sea? Analysing the role of time at ports using DEA metafrontier approach J. Transp. Geogr. (IF 5.899) Pub Date : 2024-04-09 Julián Martínez-Moya, Amparo Mestre-Alcover, Ramón Sala-Garrido, Salvador Furió-Pruñonosa
In recent decades, port efficiency has been widely studied by evaluating the use of the physical factors related to the endowment of infrastructure. However, ports are service providers, so in the production of port cargo services, the time efficiency in port operations matters. In fact, it is a key factor of port competitiveness, especially when shipping lines come to making port choice decisions
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Evident influence of water availability on the relationship between solar-induced chlorophyll fluorescence and gross primary productivity in the alpine grasslands of the Tibetan Plateau Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-08 Zhoutao Zheng, Nan Cong, Guang Zhao, Bo Zhao, Yixuan Zhu, Yangjian Zhang, Juntao Zhu, Tao Zhang, Ning Chen, Jie Gao, Yu Zhang, Yihan Sun
Solar-induced chlorophyll fluorescence (SIF) is strongly physiologically associated with vegetation photosynthesis, and has been broadly employed to monitor gross primary productivity (GPP). However, for some understudied ecosystems, such as the alpine grasslands of the Tibetan Plateau (TP), it is highly uncertain about how SIF performs in tracking GPP. Here, by collecting eddy covariance-derived GPP
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Synergizing cycling and transit: Strategic placement of cycling infrastructure to enhance job accessibility J. Transp. Geogr. (IF 5.899) Pub Date : 2024-04-08 Lucas Spierenburg, Hans van Lint, Niels van Oort
Enabling cycling at the home side or at the activity side of transit trips has been recognized as a promising solution to address transit network discrepancies and enhance connectivity between residents and employment opportunities. However, this multimodal solution is conditional to bicycle parking and cycle lanes, and urban planners need tools to identify relevant locations for these infrastructures
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Wetting or greening? Probing the global trends in Vegetation Condition Index (VCI) Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-07 Guoying Yin, Wei He, Xiangyu Liu, Yu Xia, Hongyan Zhang
Vegetation Condition Index (VCI), as a widely used drought index for monitoring vegetation drought stress and estimating drought trends, is constructed by normalizing the long-term satellite-based Normalized Difference Vegetation Index (NDVI) data. However, under global greening, vegetation across different regions has shown an increasing trend in greenness, which may cause VCI to inherit the greening
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Inferring freeway traffic volume with spatial interaction enhanced betweenness centrality Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-06 Beibei Zhang, Shifen Cheng, Peixiao Wang, Feng Lu
Freeway traffic volume is strongly correlated with the intensity of regional socioeconomic spatial interactions and the road network structure. Although existing studies have proposed indicators of betweenness centrality (BC) integrated into regional spatial interactions, the socio-economic drivers of freeway traffic volume formation have been neglected. More importantly, existing studies have not
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Pixel-associated autoencoder for hyperspectral anomaly detection Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-06 Pei Xiang, Shahzad Ali, Jiajia Zhang, Soon Ki Jung, Huixin Zhou
Autoencoders (AEs) are central to hyperspectral anomaly detection, given their impressive efficacy. However, the current methodologies often neglect the global pixel similarity of the hyperspectral image (HsI), thereby limiting reconstruction accuracy. This study introduces an innovative pixel-associated AE approach that leverages pixel associations to augment hyperspectral anomaly detection. First
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Coherent response of zoo‐ and phytoplankton assemblages to global warming since the Last Glacial Maximum Glob. Ecol. Biogeogr. (IF 6.4) Pub Date : 2024-04-06 T. Strack, L. Jonkers, M. C. Rillo, K.‐H. Baumann, H. Hillebrand, M. Kucera
AimWe are using the fossil record of different marine plankton groups to determine how their biodiversity has changed during past climate warming comparable to projected future warming.LocationNorth Atlantic Ocean and adjacent seas. Time series cover a latitudinal range from 75° N to 6° S.Time periodPast 24,000 years, from the Last Glacial Maximum (LGM) to the current warm period covering the last
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Ectomycorrhizal fungi are influenced by ecoregion boundaries across Europe Glob. Ecol. Biogeogr. (IF 6.4) Pub Date : 2024-04-06 Guillaume Delhaye, Sietse van der Linde, David Bauman, C. David L. Orme, Laura M. Suz, Martin I. Bidartondo
AimEcoregions and the distance decay in community similarity are fundamental concepts in biogeography and conservation biology that are well supported across plants and animals, but not fungi. Here we test the relevance of these concepts for ectomycorrhizal (ECM) fungi in temperate and boreal regions.LocationEurope.Time Period2008–2015.Major Taxa StudiedEctomycorrhizal fungi.MethodsWe used a large
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Estimation of stops of last-mile delivery vehicles: An application in the food industry in the city of Santiago de Chile J. Transp. Geogr. (IF 5.899) Pub Date : 2024-04-06 Franco Basso, Matías Núñez, German Paredes-Belmar, Raúl Pezoa, Mauricio Varas
The study of vehicle stops in last-mile delivery has gained ground in the specialized logistics literature. An efficient last-mile delivery reduces distribution costs and mitigates negative externalities such as pollution and congestion. This paper estimates the stops of last-mile trucks that deliver food products in Santiago, Chile. The aim is to study last-mile delivery operations using a non-intrusive
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Life in the Cambrian shallows: Exceptionally preserved arthropod and mollusk microfossils from the early Cambrian of Sweden Geology (IF 5.8) Pub Date : 2024-04-01 Ben J. Slater
Burgess Shale–type (BST) Lagerstätten record an exceptional variety of Cambrian soft-bodied fauna, yet these deposits are typically restricted to outboard depositional settings >1000 km from the paleocoastline. For shallow, well-oxygenated shelf environments, our knowledge of non-mineralized animals (the majority of diversity) is severely limited, giving rise to substantial bias in our perception of
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Browsing target extraction and spatiotemporal preference mining from the complex virtual trajectories Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-05 Guangsheng Dong, Xiangning Mou, Hongping Zhang, Rui Li, Huayi Wu, Jie Jiang, Fangning Li, Wensen Yu
Public Map Service Platforms (PMSPs) aggregate and disseminate the earth observation data. Leveraging spatiotemporal preference patterns derived from browsing targets within complex virtual trajectories on PMSPs aids in constructing user-profiles and comprehending their intentions. However, complex virtual trajectories, characterized by numerous trajectory points and overlapping pyramidal spatial structures
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Integrating UAV hyperspectral data and radiative transfer model simulation to quantitatively estimate maize leaf and canopy nitrogen content Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-05 Jiating Li, Yufeng Ge, Laila A. Puntel, Derek M. Heeren, Geng Bai, Guillermo R. Balboa, John A. Gamon, Timothy J. Arkebauer, Yeyin Shi
Crop nitrogen (N) content reflects crop nutrient status and plays an important role in precision nutrient management. Accurate crop N content estimation from remote sensing has been well documented. However, the robustness (i.e., the ability of a model to perform consistently across various conditions) of these methods under varied soil conditions or different growth stages has rarely been considered
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A spatiotemporal attention-augmented ConvLSTM model for ocean remote sensing reflectance prediction Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-04-05 Gaoxiang Zhou, Jun Chen, Ming Liu, Lingfei Ma
Remote sensing reflectance () is an essential parameter in ocean color remote sensing and a fundamental input for the estimation of ocean color elements. Predicting has the potential to enable simultaneous prediction of multiple marine environmental parameters, facilitating multi-perspective analysis of marine environmental changes. This paper proposes a spatiotemporal attention-augmented ConvLSTM-based