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Dynamic Relationship between Commuting Time and Job Satisfaction: A Bivariate Latent Change Score Approach Ann. Am. Assoc. Geogr. (IF 3.982) Pub Date : 2024-03-15 Guanqiu Liu, Liang Ma
Daily commuting and its impact on job satisfaction have been the focus of numerous studies. Limited research, however, has explored the bidirectional relationship between the two factors, and most ...
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Activist Networks, Territory, and the Spatial Diffusion of Mining Conflicts Ann. Am. Assoc. Geogr. (IF 3.982) Pub Date : 2024-03-15 Nasser Ary Tanimoune, Paul Alexander Haslam
This article examines how activist networks contribute to the spatial diffusion of mining conflicts. We conduct a spatial econometric analysis of 590 geolocated mining properties in five countries ...
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Precision in mapping and assessing mangrove Biomass: Insights from the Persian Gulf coasts Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-16 Saied Pirasteh, Davood Mafi-Gholami, Huxiong Li, Zhaoxi Fang, Akram Nouri-Kamari, Behnam Khorrami
This groundbreaking research makes a contribution to climate change adaptation studies by filling a crucial knowledge gap related to the precise evaluation of mangrove biomass—an essential element influencing the future trends of coastal ecosystems. Specifically, the study concentrates on the Hara Biosphere Reserve (HBR) on the coasts of the Persian Gulf (PG), aiming to generate precise maps of mangrove
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Robust change detection for remote sensing images based on temporospatial interactive attention module Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-16 Jinjiang Wei, Kaimin Sun, Wenzhuo Li, Wangbin Li, Song Gao, Shunxia Miao, Qinhui Zhou, Junyi Liu
Change Detection (CD) is a vital monitoring method in Earth observation, especially pertinent for land-use analysis, city management, and disaster damage assessment. However, in the era of constellation interconnection and air-sky collaboration, the changes in the Regions Of Interest (ROI) cause many false detections due to geometric perspective rotation and temporal style difference. In response to
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Spatial domain transfer: Cross-regional paddy rice mapping with a few samples based on Sentinel-1 and Sentinel-2 data on GEE Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-16 Lingyu Sun, Yuxin Lou, Qian shi, Liangpei Zhang
The global population is on the rise, leading to an increased demand for food resources. Accurate mapping and monitoring of paddy rice fields have become crucial for effective food management and yield estimation. Several large-scale paddy rice mapping products with medium-to-high resolution have been made by using threshold-based phenological methods. The main shortcoming is that paddy rice varies
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Automated deformation detection and interpretation using InSAR data and a multi-task ViT model Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-16 Mahmoud Abdallah, Samaa Younis, Songbo Wu, Xiaoli Ding
Many geological hazards are associated with ground deformations. Prompt and accurate detection and interpretation of ground deformation is therefore vital to geohazard mitigation. Multitemporal Interferometric Synthetic Aperture Radar (MT-InSAR) is an effective geodetic technique for monitoring ground deformation. However, accurate computation and interpretation of deformation using InSAR are often
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A novel spaceborne photon-counting laser altimeter denoising method based on parameter-adaptive density clustering GISci. Remote Sens. (IF 6.7) Pub Date : 2024-03-15 Ren Liu, Xinming Tang, Junfeng Xie, Rujia Ma, Fan Mo, Xiaomeng Yang
To tackle the challenge of denoising spaceborne photon-counting laser altimeter point clouds with uneven noise density, this study proposes a denoising method based on adaptive parameter density cl...
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Particulate Matters: Air Pollution and the Political Ecology of a Boundary Object Ann. Am. Assoc. Geogr. (IF 3.982) Pub Date : 2024-03-14 Mary Mostafanezhad, Olivier Evrard, Chaya Vaddhanaphuti
Air pollution now affects 92 percent of the global population and is responsible for one out of nine deaths, nearly two thirds of which occur in Southeast Asia and the Western Pacific. Emerging wor...
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Macroclimate and canopy characteristics regulate forest understory microclimatic temperature offsets across China Glob. Ecol. Biogeogr. (IF 6.4) Pub Date : 2024-03-15 Siying Chen, Pieter De Frenne, Koenraad Van Meerbeek, Qiqian Wu, Yan Peng, Haifeng Zheng, Kun Guo, Chaoxiang Yuan, Ling Xiong, Zemin Zhao, Xiangyin Ni, Fuzhong Wu, Kai Yue
Forest microclimates can contrast substantially from the macroclimate outside forests. These microclimates regulate understory biodiversity and ecosystem functions. Studies have quantified the global patterns and driving factors of forest understory temperature offsets, but data from China were almost missing, making the global assessment incomplete. To fill this knowledge gap, we quantitatively synthesized
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Co-evolution of public transport access and ridership J. Transp. Geogr. (IF 5.899) Pub Date : 2024-03-15 Hema Rayaprolu, David Levinson
While transport infrastructure and travel demand are known to be correlated, their causal relationship has not been systematically investigated. Granger causality tests have been conducted in the context of transport infrastructure and economic growth, and land use and transport. This research extends their application to network investments and travel demand by examining the co-evolution of public
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Mapping invasive noxious weed species in the alpine grassland ecosystems using very high spatial resolution UAV hyperspectral imagery and a novel deep learning model GISci. Remote Sens. (IF 6.7) Pub Date : 2024-03-13 Fei Xing, Ru An, Xulin Guo, Xiaoji Shen
The term “invasive noxious weed species” (INWS), which refers to noxious weed plants that invade native alpine grasslands, has increasingly become an ecological and economic threat in the alpine gr...
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U-SeqNet: learning spatiotemporal mapping relationships for multimodal multitemporal cloud removal GISci. Remote Sens. (IF 6.7) Pub Date : 2024-03-14 Qian Zhang, Xiangnan Liu, Tao Peng, Xiao Yang, Mengzhen Tang, Xinyu Zou, Meiling Liu, Ling Wu, Tingwei Zhang
Optical remotely sensed time series data have various key applications in Earth surface dynamics. However, cloud cover significantly hampers data analysis and interpretation. Despite synthetic aper...
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Bridging satellite missions: deep transfer learning for enhanced tropical cyclone intensity estimation GISci. Remote Sens. (IF 6.7) Pub Date : 2024-03-11 Minki Choo, Yejin Kim, Juhyun Lee, Jungho Im, Il-Ju Moon
Geostationary satellites are valuable tools for monitoring the entire lifetime of tropical cyclones (TCs). Although the most widely used method for TC intensity estimation is manual, several automa...
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Corrigendum to “Spatial and spectral analysis of fairy circles in namibia on a landscape scale using satellite image processing and machine learning analysis” [Int. J. Appl. Earth Observ. Geoinform. 121 (2023) 103377] Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-14 Klil Noy, Micha Silver, Ondrej Pesek, Hezi Yizhaq, Eugene Marais, Arnon Karnieli
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The relationship between remotely-sensed spectral heterogeneity and bird diversity is modulated by landscape type Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-14 Dominika Prajzlerová, Vojtěch Barták, Petr Keil, Vítězslav Moudrý, Markéta Zikmundová, Petr Balej, François Leroy, Duccio Rocchini, Michela Perrone, Marco Malavasi, Petra Šímová
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Geometric effects of fragmentation are likely to mitigate diversity loss following habitat destruction in real‐world landscapes Glob. Ecol. Biogeogr. (IF 6.4) Pub Date : 2024-03-14 Colleen Smith, Juan A. Bonachela, Dylan T. Simpson, Natalie J. Lemanski, Rachael Winfree
AimHabitat conversion is the number one threat to biodiversity. The loss of biodiversity due to habitat loss might be exacerbated if species are harmed by fragmentation per se—the breaking apart of natural habitat that remains (hereafter fragmentation). However, the evidence that species are harmed by habitat fragmentation is mixed. Studies at the patch scale tend to show that fragmentation reduces
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A unified framework for partitioning the drivers of stability of ecological communities Glob. Ecol. Biogeogr. (IF 6.4) Pub Date : 2024-03-14 Jules Segrestin, Lars Götzenberger, Enrique Valencia, Francesco de Bello, Jan Lepš
AimIdentifying the drivers of ecological stability is critical for ensuring the maintenance of ecosystem functioning and services, particularly in a changing world. Different ecological mechanisms by which biological communities stabilize ecosystem functions (i.e. “stabilizing effects”) have been proposed, yet with various theoretical expectations and debated conclusions. Here we propose a unified
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Global patterns and determinants of multiple facets of plant diversity Glob. Ecol. Biogeogr. (IF 6.4) Pub Date : 2024-03-14 Enrico Tordoni, Carlos Pérez Carmona, Aurèle Toussaint, Riin Tamme, Meelis Pärtel
AimCombining different biodiversity dimensions can reveal new diversity patterns disclosing the relative roles of historical, environmental and anthropogenic factors in shaping global seed plant diversity.LocationGlobal.Time periodPresent.Major taxa studiedVascular plants.MethodsWe collated a database encompassing taxonomic (249,000 species), functional and phylogenetic information (34,694 species)
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Are mass transit projects and public transport planning overlooking uneven distributional effects? Empirical evidence from Sao Paulo, Brazil J. Transp. Geogr. (IF 5.899) Pub Date : 2024-03-14 Germán Freiberg, Mariana Giannotti, Taina A. Bittencourt
Despite the growing literature on equity and accessibility, little attention is placed on the shortcomings of the transport planning process in bridging the gap between research and practice. Urban mobility plans are usually not oriented towards increasing accessibility and reducing inequalities, and transport projects are traditionally selected based on utilitarian approaches that disregard the distributional
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Corrigendum to “A fast and robust cirrus removal method for Landsat 8/9 images” [Int. J. Appl. Earth Obs. and Geoinf. 128 (2024) 103691] Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-13 Tao Jiang, Huanfeng Shen, Huifang Li, Chi Zhang, Liying Xu, Dekun Lin
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Long-term series wetland classification of Guangdong-Hong Kong-Macao Greater Bay Area based on APSMnet Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-13 Anjun Lou, Zhi He, Chengle Zhou, Guanglin Lai
Wetlands play a crucial role in achieving carbon peak and carbon neutrality goals. Exploring spatiotemporal distribution is one of the fundamental task in wetland research. However, existing large-scale and long-term series wetland mapping methods have challenges related to classification accuracy and obtaining inter-annual wetland samples. Therefore, a rapid sample collection and precise classification
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A temporary soil dump settlement and landslide risk analysis using the improved small baseline subset-InSAR and continuous medium model Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-13 Xiaoqiong Qin, Yuanjun Huang, Chisheng Wang, Kebin Jiang, Linfu Xie, Rong Liu, Xuguo Shi, Xiangsheng Chen, Bochen Zhang
Abandoned soil disposal in China has become increasingly challenging, which may pose significant safety hazards such as soil settlement and landslides. Interferometry Synthetic Aperture Radar (InSAR) is effective in surface deformation monitoring and Small Baseline Subset-InSAR (SBAS-InSAR) can obtain sufficient coherent point density from the bare soil surface. This study investigated Chishi soil
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A rapid soil Chromium pollution detection method based on hyperspectral remote sensing data Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-13 Lihan Chen, Kun Tan, Xue Wang, Yu Chen
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Combining vector and raster data in regionalization: A unified framework for delineating spatial unit boundaries for socio-environmental systems analyses Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-13 Xin Feng, Jennifer Koch
Regionalization has emerged as a crucial research area for the past 50 years, including aggregating smaller areas into larger, contiguous, and/or homogeneous regions. Spatial optimization techniques are advantageous for solving regionalization problems, yet their nondeterministic polynomial-time (NP) hard nature leads to computational complexity and time consumption, especially with extensive datasets
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Increased frequency of extreme climatic events weakens the community stability of natural grassland under directional climate changes by reducing resilience Glob. Ecol. Biogeogr. (IF 6.4) Pub Date : 2024-03-13 Peipei Liu, Wangwang Lv, Jianping Sun, Shilong Piao, Yanfen Wang, Dorji Tsechoe, Caiyun Luo, Zhenhua Zhang, Bowen Li, Xiaowei Guo, Jingya Lv, Lanying Chen, Yingnian Li, Josep Peñuelas, Shiping Wang
AimChronic directional climate changes in temperature and precipitation are predicted to increase the frequency of extreme climatic events (ECEs); however, their co‐occurring effects on the temporal stability of community productivity (i.e. ANPP stability) are still unclear. Here, we evaluate whether the increased frequency of ECEs reduces ANPP stability, and how it modulates the effects of chronic
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Postextinction Geographies: Audiovisual Afterlives of the Bucardo and the Ivory-Billed Woodpecker Ann. Am. Assoc. Geogr. (IF 3.982) Pub Date : 2024-03-11 Hannah Hunter, Adam Searle
How do technologies animate more-than-human geographies after extinction? How can geographical scholarship evoke, or bring presence to, extinct biota? In an epoch simultaneously characterized by bi...
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Tank to Table: Hong Kong’s Wet Markets and the Geographies of Lively Commodification Beyond Companionship Ann. Am. Assoc. Geogr. (IF 3.982) Pub Date : 2024-03-11 Ben. A. Gerlofs, Benjamin Lucca Iaquinto, Kylie Yuet Ning Poon, Cathy Tung Yee Tsang
We argue for a radical reconfiguration of existing theorizations of the “lively commodity”—beings captured, cultivated, and traded for their very lives—on more inclusive terms. Specifically, we adv...
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Spatiotemporal mapping of urban trade and shopping patterns: A geospatial big data approach Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-12 Bakhtiar Feizizadeh, Davoud Omarzadeh, Thomas Blaschke
The economic viability of an urban area in terms of trade and shopping significantly impacts its residents’ quality of life and is crucial for any sustainable development initiative. Geographic information systems (GIS) are well established, but the use of GIS technology within finance and trade analysis is still in its infancy. In this article, we highlighted the potential of GIS technology and big
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ScribbleCDNet: Change detection on high-resolution remote sensing imagery with scribble interaction Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-12 Zhipan Wang, Minduan Xu, Zhongwu Wang, Qing Guo, Qingling Zhang
Change detection on high-resolution remote sensing imagery using end-to-end deep learning methods has attracted considerable attention in recent years. Nevertheless, the performance of end-to-end models on complicated scenarios still is limited. Interactive deep-learning models have proven to be a valuable technique for enhancing model performance with minimal human interaction. For instance, the clicks-based
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Wildfire risk assessment using deep learning in Guangdong Province, China Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-12 Wenyu Jiang, Yuming Qiao, Xinxin Zheng, Jiahao Zhou, Juncai Jiang, Qingxiang Meng, Guofeng Su, Shaobo Zhong, Fei Wang
The severe wildfires that have ravaged Guangdong province, China, present a significant threat to the local ecosystem, socio-economics, and public health. Effective risk assessment is essential for early warning and timely prevention in wildfire management, thereby mitigating disaster losses. In this study, we compiled a dataset comprising 11,507 historical wildfire incidents in Guangdong Province
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Enhancing SDGSAT-1 night light images using a panchromatic guidance denoising algorithm Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-12 Ning Wang, Yonghong Hu, Xiao-Ming Li, Yiling Lan, Chuanli Kang, Lin Yan, Changyong Dou, Chen Miao
The Glimmer Imager on board the Sustainable Development Science Satellite 1 (SDGSAT-1) is capable of providing high-resolution nighttime light images. However, the presence of stripe noise and dark current noise in L4A images affects the authenticity of image information, thus limiting its scientific applications. This study proposes a panchromatic guidance denoising algorithm to enhance the quality
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OASL: Orientation-aware adaptive sampling learning for arbitrary oriented object detection Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-12 Zifei Zhao, Shengyang Li
Arbitrary oriented object detection (AOOD) is a fundamental task in aeiral image interpretation, which is commonly implemented by optimizing three subtasks: classification, localization, and orientation. The consistency of classification, localization, and orientation is crucial for achieving high performance of AOOD detectors. However, independent prediction between subtasks and differences in quality
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Interpretable deep learning for consistent large-scale urban population estimation using Earth observation data Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-12 Sugandha Doda, Matthias Kahl, Kim Ouan, Ivica Obadic, Yuanyuan Wang, Hannes Taubenböck, Xiao Xiang Zhu
Accurate and up-to-date mapping of the human population is fundamental for a wide range of disciplines, from effective governance and establishing policies to disaster management and crisis dilution. The traditional method of gathering population data through census is costly and time-consuming. Recently, with the availability of large amounts of Earth observation data sets, deep learning methods have
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Exploring the contributions of Ebike ownership, transit access, and the built environment to car ownership in a developing city J. Transp. Geogr. (IF 5.899) Pub Date : 2024-03-12 Shan Sun, Liang Guo, Shuo Yang, Jason Cao
While many studies examine the correlates of car ownership, only a few have quantified the relative contributions of individuals' socio-economic characteristics, alternative transportation choices, and built environment attributes to car ownership in developing cities. By employing gradient boosting decision trees to the 2020 regional household travel survey data from Wuhan, a megacity in China, we
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S[formula omitted]WaveNet: A novel spectral–spatial wave network for hyperspectral image classification Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-11 Yanan Jiang, Zitong Zhang, Chunlei Zhang, Heng Zhou, Qiaoyu Ma, Chengcheng Zhong
Deep learning has made significant progress in hyperspectral image (HSI) classification, and its powerful ability to automatically learn abstract features is well recognized. Recently, the simple architecture of multi-layer perceptron (MLP) has been extensively employed to extract long-range dependencies of HSI and achieved impressive results. However, existing MLP-based models exhibit insufficient
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Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-11 Siqin Wang, Xiao Huang, Pengyuan Liu, Mengxi Zhang, Filip Biljecki, Tao Hu, Xiaokang Fu, Lingbo Liu, Xintao Liu, Ruomei Wang, Yuanyuan Huang, Jingjing Yan, Jinghan Jiang, Michaelmary Chukwu, Seyed Reza Naghedi, Moein Hemmati, Yaxiong Shao, Nan Jia, Zhiyang Xiao, Tian Tian, Yaxin Hu, Lixiaona Yu, Winston Yap, Edgardo Macatulad, Zhuo Chen, Yunhe Cui, Koichi Ito, Mengbi Ye, Zicheng Fan, Binyu Lei, Shuming
This paper brings a comprehensive systematic review of the application of geospatial artificial intelligence (GeoAI) in quantitative human geography studies, including the subdomains of cultural, economic, political, historical, urban, population, social, health, rural, regional, tourism, behavioural, environmental and transport geography. In this extensive review, we obtain 14,537 papers from the
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Airborne data and machine learning for urban tree species mapping: Enhancing the legend design to improve the map applicability for city greenery management Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-11 Jan Niedzielko, Dominik Kopeć, Justyna Wylazłowska, Adam Kania, Jakub Charyton, Anna Halladin-Dąbrowska, Maria Niedzielko, Karol Berłowski
Presently remote sensing appears to be the only technology that makes it possible to conduct an inventory of tree taxa throughout the whole city. One of the main challenges during a remote sensing implementation project is the constructing of a map legend for tree taxa. The article presents the first comprehensive investigation into the construction of a legend for urban tree species mapping in the
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Forest disturbance characterization in the era of earth observation big data: A mapping review Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-10 Enmanuel Rodríguez Paulino, Martin Schlerf, Achim Röder, Johannes Stoffels, Thomas Udelhoven
Forests play a crucial role throughout the world as highly productive ecosystems, serving approximately a quarter of the human population by providing valuable services. However, these ecosystems are subject to various natural and human-induced disturbances such as insect outbreaks, fires, windthrow, snow damage, selective logging, and harvest, which significantly influence the composition and structure
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Diffusion models for spatio-temporal-spectral fusion of homogeneous Gaofen-1 satellite platforms Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-10 Jingbo Wei, Lei Gan, Wenchao Tang, Ming Li, Yuejun Song
Due to hardware technology limitations, satellite sensors are unable to capture images with high temporal, spatial, and spectral resolutions simultaneously. However, the Gaofen-1 satellite overcomes this challenge by incorporating 2-meter panchromatic, 8-meter multispectral, and 16-meter wide-field cameras, allowing for the integration of images from these sensors. To address this issue, we propose
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Background covariance discriminative dictionary learning for hyperspectral target detection Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-10 Zhiyuan Li, Tingkui Mu, Bin Wang, Qiujie Yang, Haishan Dai
Hyperspectral target detection (HTD) aims to identifying targets within a hyperspectral image (HSI) based on provided target spectra. In the current HTD field, representation-based detectors have attracted much attention. However, there are two prominent challenges that are particularly noteworthy. First, the background class encompasses diverse land covers, making its accurate representation challenging
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Understanding urban expansion and shrinkage via green plastic cover mapping based on GEE cloud platform: A case study of Shandong, China Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-10 Jiantao Liu, Yan Zhang, Quanlong Feng, Gaofei Yin, Dong Zhang, Yi Li, Jianhua Gong, Yexiang Li, Jingxian Li
Green Plastic Cover (GPC) has been widely used in construction sites of China as the main measure for dust suppression. As a unique land cover in China, GPC could be viewed as a sign for evaluating the intensity of urban construction. Therefore, time series GPC maps could provide a new perspective to understand the pattern of urban development, including both urban expansion and urban shrinkage. The
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Identifying service bottlenecks in public bikesharing flow networks J. Transp. Geogr. (IF 5.899) Pub Date : 2024-03-10 Da Lei, Long Cheng, Pengfei Wang, Xuewu Chen, Lin Zhang
Service bottlenecks are a key barrier to building a resilient public transport system. In this paper, we propose a new approach to automatically extract the role of a station in dynamical public transport flow networks based on the emerging role discovery method in network science. The term “role” in this study refers to the distinctive position or function that a station plays within the public transport
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Digital Networks of Democratic Mobilization: Examining Performative, Material, and Rooted Approaches Ann. Am. Assoc. Geogr. (IF 3.982) Pub Date : 2024-03-07 Kendra Kintzi, Hilary Oliva Faxon
In a world increasingly and unevenly connected through fiber-optic cables, satellite waves, and smartphones, spatial approaches attentive to questions of power and scale are key to grounding analys...
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Evaluating the impacts of supply-demand dynamics and distance decay effects on public transit project assessment: A study of healthcare accessibility and inequalities J. Transp. Geogr. (IF 5.899) Pub Date : 2024-03-09 Reyhane Javanmard, Jinhyung Lee, Kyusik Kim, Jinwoo Park, Ehab Diab
Previous studies evaluating the impacts of transport interventions on accessibility to healthcare have largely overlooked competition among patients for limited resources and the tendency to use healthcare located closer to them (i.e., distance decay effects). This study aims to demonstrate how overlooking supply-demand dynamics and distance decay effects can distort the evaluation of a new public
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Estimation of travel flux between urban blocks by combining spatio-temporal and purpose correlation J. Transp. Geogr. (IF 5.899) Pub Date : 2024-03-08 Baoju Liu, Zhongan Tang, Min Deng, Yan Shi, Xiao He, Bo Huang
Understanding the travel flux between urban blocks is fundamental for traffic demand prediction, urban area planning and urban traffic management. However, the uncertainty of human mobility patterns and the complexity of urban transportation systems usually yield challenges in accurately estimating the travel flux within a city. Thus, we propose a novel travel flux estimation method that integrates
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The effects of the COVID-19 pandemic on connectivity, operational efficiency, and resilience of major container ports in Southeast Asia J. Transp. Geogr. (IF 5.899) Pub Date : 2024-03-08 Phong-Nha Nguyen, Hwayoung Kim
The COVID-19 pandemic in 2020 has had significant impacts on the connectivity and performance of container ports in Southeast Asia. The application of social network analysis (SNA) in conjunction with key indicators, such as container throughput, total capacity of ships, number of ship calls, and berth duration, provides a comprehensive understanding of the development of the regional port system.
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The Impact of Spatial Changes on the Assessment of CCTV Effects: An Example of the Green Light Project in Detroit Ann. Am. Assoc. Geogr. (IF 3.982) Pub Date : 2024-03-04 Ruidun Chen, Cong Fu, Shanhe Jiang, Minxuan Lan, Yanqing Xu
The assessment of closed-circuit television (CCTV) as an infrastructure designed to improve the policing environment has gained widespread attention. The effect of CCTV is influenced not only by th...
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Modeling Out-Degree of Node in Commuter Networks: The Impact of Socioeconomic Profiles and Spatial Autocorrelation in Shaping Regional Connectivity Ann. Am. Assoc. Geogr. (IF 3.982) Pub Date : 2024-03-04 Devon Lechtenberg
Regional commuting networks are shaped by the distribution of population and employment as well as a host of other socioeconomic and demographic factors. A commuting network type of particular inte...
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Modeling Spatial Anisotropic Relationships Using Gradient-Based Geographically Weighted Regression Ann. Am. Assoc. Geogr. (IF 3.982) Pub Date : 2024-03-04 Jinbiao Yan, Bo Wu, Xiaoqi Duan
Distance and direction play crucial roles in modeling the spatial nonstationarity relationship. Because Euclidean distance ignores the effect of direction, several modified geographically weighted ...
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Cloud restoration of optical satellite imagery using time-series spectral similarity group GISci. Remote Sens. (IF 6.7) Pub Date : 2024-03-05 Yerin Yun, Jinha Jung, Youkyung Han
According to climate statistics, clouds cover more than a third of the Earth’s land surface on average. This cloud coverage obstructs optical satellite imagery, resulting in a loss of essential inf...
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A new vegetation index based on UAV for extracting plateau vegetation information Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-07 Cheng Chen, Xiping Yuan, Shu Gan, WeiDong Luo, Rui Bi, RaoBo Li, Sha Gao
In the realm of remote sensing, the vegetation index (VI) can bring out the subtleties and characteristics of a class of features or a specific feature and can indicate crop development, vegetation and non-vegetation, soil, and other related information. However, in the plateau region, due to characteristics such as plant type, soil type, and vegetation density, the currently available vegetation indices
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War Travels: The Logistics of Vietnam War Militourism Ann. Am. Assoc. Geogr. (IF 3.982) Pub Date : 2024-03-04 Wesley Attewell
This article explores the everyday entanglements of militarism and tourism that helped sustain soldiering life during the Vietnam War. Free world soldiers in Vietnam were entitled to take between f...
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New-Build Speculation and the Financialization of Urban Development in the Global South: A Perspective from Phnom Penh, Cambodia Ann. Am. Assoc. Geogr. (IF 3.982) Pub Date : 2024-03-04 Gabriel Fauveaud
This article analyzes how urban development and property management strategies shape and accelerate new-build speculation (i.e., speculation mechanisms attached to the development of newly built re...
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Process-based and geostationary meteorological satellite-enhanced dead fuel moisture content estimation GISci. Remote Sens. (IF 6.7) Pub Date : 2024-03-05 Chunquan Fan, Binbin He, Jianpeng Yin, Rui Chen, Hongguo Zhang
Dead fuel moisture content (DFMC) is essential for assessing wildfire danger, fire behavior, and fuel consumption. Several process-based models have been proposed to estimate DFMC. Previous studies...
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Self-supervised multi-task learning framework for safety and health-oriented road environment surveillance based on connected vehicle visual perception Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-06 Shaocheng Jia, Wei Yao
Cutting-edge connected vehicle (CV) technologies have drawn much attention in recent years. The real-time traffic data captured by a CV can be shared with other CVs and data centers so as to open new possibilities for solving diverse transportation problems. The trajectory data of CVs have been well-studied and widely used. However, image data captured by onboard cameras in a connected environment
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Measuring cyclists’ subjective perceptions of the street riding environment using K-means SMOTE-RF model and street view imagery Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-06 Qisheng Zeng, Zheng Gong, Songtai Wu, Caigang Zhuang, Shaoying Li
Cyclists' willingness to ride is usually influenced by their subjective perception of the street riding environment. Measuring this perception is crucial for enhancing residents' willingness to ride. We propose an SSB framework (Public Security, Traffic Safety, Scenic Beauty) to quantify cyclists' subjective perception using street view imagery (SVI) and volunteer rating data. To address the issue
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Forest degradation contributes more to carbon loss than forest cover loss in North American boreal forests Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-06 Ling Yu, Lei Fan, Philippe Ciais, Jingfeng Xiao, Frédéric Frappart, Stephen Sitch, Jingming Chen, Xiangming Xiao, Rasmus Fensholt, Zhongbing Chang, Hongqian Fang, Xiaojun Li, Tiangxiang Cui, Mingguo Ma, Jean-Pierre Wigneron
The carbon sinks of North American boreal forests have been threatened by global warming and forest disturbances in recent decades, but knowledge about the carbon balance of these forests in recent years remains unknown. We tracked annual aboveground carbon (AGC) changes from 2016 to 2021 across the forest regions of NASA’s Arctic Boreal Vulnerability Experiment (ABoVE) core study domain, using Vegetation
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Four-step framework for untangling place and mobility components of access: An equal opportunity perspective J. Transp. Geogr. (IF 5.899) Pub Date : 2024-03-06 Fatemeh Janatabadi, Alireza Ermagun
This study proposes a four-step framework for untangling place and mobility components of access through the lens of equal opportunities. It introduces two measures of Spatial Inequality of Transit Services (SITS) and Spatial Inequality of Opportunities (SIO). Exercising it on the transit access to employment opportunities in the City of Chicago, two observations are discerned. First, transit agencies
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Unveiling spatial mismatch in childcare supply and demand: An excess commuting analysis of home-to-childcare distance in subsidized families J. Transp. Geogr. (IF 5.899) Pub Date : 2024-03-06 Yujie Hu, Phillip Sherlock, Jing Huang, Herman T. Knopf, Jaclyn M. Hall
The distance between homes and childcare providers serves as a crucial factor in evaluating accessibility and equity in early childhood education. Spatial mismatch between childcare demand and supply is suggested when families opt for facilities further than the nearest available options, a situation scarcely scrutinized in existing literature, especially among under-six children from economically
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Large-scale and high-resolution paddy rice intensity mapping using downscaling and phenology-based algorithms on Google Earth Engine Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-03-05 Liangli Meng, Yunfei Li, Ruoque Shen, Yi Zheng, Baihong Pan, Wenping Yuan, Jun Li, Li Zhuo
Accurate mapping of paddy rice cropping intensity (PRCI) affects precision agriculture, water use management, and informed decision-making. Many PRCI mapping approaches have been developed and achieved remarkable performance. However, large-scale and high-resolution PRCI mapping in southern China, especially in the Hunan Province, remains challenging. In this region, optical data suffer from serious