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Evaluating the impact of urban morphology on urban vitality: an exploratory study using big geo-data Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-03-18 Yanxiao Jiang, Zhou Huang, Xiao Zhou, Xiaojian Chen
The United Nations has proposed Sustainable Development Goals (SDGs), of which SDG11 aims to “make cities and human settlements inclusive, safe, resilient and sustainable”. This is in line with Urb...
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Comparative evaluation of vegetation greenness trends over circumpolar Arctic tundra using multi-sensors satellite datasets Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-03-18 Caixia Liu, Huabing Huang, Chong Liu, Xiaoyi Wang, Shaohua Wang
The circumpolar arctic tundra, located at Earth’s highest latitudes, is extremely sensitive to climate warming. Studies on arctic greening, based on satellite data and field measurements, show disc...
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A review of remote sensing image segmentation by deep learning methods Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-03-18 Jiangyun Li, Yuanxiu Cai, Qing Li, Mingyin Kou, Tianxiang Zhang
Remote sensing (RS) images enable high-resolution information collection from complex ground objects and are increasingly utilized in the earth observation research. Recently, RS technologies are c...
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GNSS Ground deformation observation network optimization assisted using prior InSAR-derived ground surface deformation and multiscale iteration estimation Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-03-18 Wenxiang Mao, Zhiwei Li, Zhibin Wang, Peiling Li, Yan Zhu, Jingxin Hou
Ground surface deformation must be monitored to understand and prevent geological hazards. Global navigation satellite system (GNSS) technology has been widely used in deformation monitoring; howev...
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A Novel Map Matching Method Based on Improved Hidden Markov and Conditional Random Fields Model Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-03-12 Wei Li, Youliang Chen, Shiteng Wang, Hongchong Li, Qin Fan
Aiming at the inherent “labeling bias” problem of Hidden Markov Models (HMMs) in the process of low-frequency sampling rate GPS trajectory map matching, this paper proposes a map matching method th...
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Kinematic precise point positioning heights enhancement using static measurements and Voronoi’s corrector surface Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-03-12 Ahmed Al Shouny, Abdullah Kamel, Yehia Miky
Recently, the use of Precise Point Positioning (PPP) has spread widely. Unlike Relative Positioning techniques, PPP uses only a single receiver unit. Although it provides sub-centimeter horizontal ...
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Precise hexagonal pixel modeling and an easy-sharing storage scheme for remote sensing images based on discrete global grid system Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-03-12 Qishuang Liang, Jianbin Zhou, Jin Ben, Yihang Chen, Xinhai Huang, Junjie Ding, Jinchi Dai
Discrete Global Grid Systems (DGGSs) are an emerging Earth reference model that support the integration and analysis of remote sensing (RS) data. Grid modeling, sampling, quantization, and storage ...
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Assessing and predicting changes of ecosystem service values in response to land use/land cover dynamics in Ibb City, Yemen: a three-decade analysis and future outlook Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-03-11 Abdulkarem Qasem Dammag, Jian Dai, Guo Cong, Basema Qasim Derhem, Hafiza Zara Latif
Assessing ecosystem services values (ESV) within land use/land cover (LULC) changes is crucial for promoting human well-being and sustainable development of regional ecosystems. Yet, the spatial re...
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A novel water optical types framework for Chinese inland waters with the application of multitype satellite sensor Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-03-11 Ruidan Sang, Yaping Wang, Fangfang Zhang, Shenglei Wang, Junsheng Li
Optical Water Type (OWT) analysis is crucial for comprehending water composition and quality, key factors in assessing water quality over extensive areas. However, China’s inland waters lack a stan...
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Bidirectional mapping between rhombic triacontahedron and icosahedral hexagonal discrete global grid systems Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-03-06 Xinhai Huang, Jinchi Dai, Jin Ben, Jianbin Zhou, Junjie Ding
The icosahedron is currently the mainstream polygon in research and application of discrete global grid systems (DGGS). However, compared to the rhombic triacontahedron (RT), the icosahedron has di...
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Enhancing flood-prone area mapping: fine-tuning the K-nearest neighbors (KNN) algorithm for spatial modelling Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-03-04 Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Saman Razavi, Soo-Mi Choi
This study focuses on determining the optimal distance metric in the K-Nearest Neighbors (KNN) algorithm for spatial modelling of floods. Four distance metrics of the KNN algorithm, namely KNN-Manh...
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Assessing the economic viability of the Arctic Northeast Passage from 2021 to 2065 Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-03-04 Adan Wu, Tao Che, Qingchao Xu, Jiping Wang, Jinlei Chen, Xiaowen Zhu
The Northeast Passage (NEP) holds immense potential as a link for maritime transport activities between Europe and Asia, primarily due to the extended sailing season resulting from global warming. ...
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Random forest regression exploring contributing factors to artificial night-time lights observed in VIIRS satellite imagery Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-03-04 Dipendra Bhattarai, Arko Lucieer
Artificial night-time lights (ANTL) pose environmental, economic, and social problems. To effectively manage this issue, it is important to understand the sources that contribute to it. Previous re...
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Virtual geo-cyber environments: metaphorical visualization of virtual cyberspace with geographical knowledge Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-02-29 Bingchuan Jiang, Xiong You, Ke Li, Tingting Li, Xiao Wang, Dongyu Si
Cyberspace is a dynamic and complex environment that poses unique challenges in understanding and managing its intricacies. In this study, we developed a framework for ‘Geo-Cyber’ spatial correlati...
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Satellite nighttime remote sensing promotes the spatially refined monitoring and assessment of offshore fishery Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-02-28 Hao Tian, Yang Liu, Jianchao Li, Qinwang Xing, He Sun, Yongjun Tian
Offshore small-scale fisheries, constituting 31% of global marine captures, are crucial for the promotion of sustainable fisheries. However, current fishery monitoring, assessments, and management ...
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Integrating bi-temporal VHR optical and long-term SAR images for built-up area change detection Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-02-20 Haoyang Li, Qingyi Jiang, Lingwen Liu, Qian Shi, Xiaoping Liu
With the rapid expansion of urbanization, it is imperative to monitor built-up areas changes to promote the sustainable development of cities, aligning with the goals of Sustainable Development Goa...
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Hybrid inversion of radiative transfer models based on topographically corrected Landsat surface reflectance improves leaf area index and aboveground biomass retrievals of grassland on the hilly Loess Plateau Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-02-22 Shuaifeng Peng, Zhihui Wang, Xiaoping Lu, Xinjie Liu
Accurate monitoring of the leaf area index (LAI) and aboveground biomass (AGB) using remote sensing at a fine scale is crucial for understanding the spatial heterogeneity of vegetation structure in...
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Improving global digital elevation models using space-borne GEDI and ICESat-2 LiDAR altimetry data Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-02-19 Omer Gokberk Narin, Saygin Abdikan, Mevlut Gullu, Roderik Lindenbergh, Fusun Balik Sanli, Ibrahim Yilmaz
Open source Global Digital Elevation Models (GDEMs) serve as an important base for studies in geosciences. However, these models contain vertical errors due to various reasons. In this study, data ...
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Full-automatic high-precision scene 3D reconstruction method with water-area intelligent complementation and mesh optimization for UAV images Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-02-16 Bingxuan Guo, Yingwei Ge, Xiongwu Xiao, Chao Wang, Jianya Gong, Deren Li
Fast and high-precision urban scene 3D modeling is the foundational data infrastructure for the digital earth and smart cities. However, due to challenges such as water-area matching difficulties a...
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Leveraging machine learning and open-source spatial datasets to enhance flood susceptibility mapping in transboundary river basin Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-02-09 Yogesh Bhattarai, Sunil Duwal, Sanjib Sharma, Rocky Talchabhadel
Floods pose devastating effects on the resiliency of human and natural systems. flood risk management challenges are typically complicated in the transboundary river basin due to conflicting object...
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Encoding and operation scheme for the rhombic triacontahedron aperture 4 hexagonal discrete global grid system Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-02-14 Junjie Ding, Xinhai Huang, Jin Ben, Jianbin Zhou, Qishuang Liang, Yihang Chen, Jinchi Dai
Discrete Global Grid System (DGGS) is a hierarchical structure with seamless global coverage, supporting processing and analysis of heterogeneous geospatial data. Compared with the most commonly us...
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Brazil Data Cube Workflow Engine: a tool for big Earth observation data processing Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-02-09 Vitor C. F. Gomes, Gilberto R. Queiroz, Karine R. Ferreira, Edzer Pebesma, Claudio C. F. Barbosa
Earth Observation (EO) satellites have produced vast image collections that are freely accessible to society. However, handling these images often surpasses the capabilities of traditional hardware...
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Remote sensing image feature matching via graph classification with local motion consistency Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-02-06 Yanchun Liu, Xiujing Gao, Zhihong Li
Feature matching is a classic challenge in the computer vision field. In this paper, we propose an innovative graph classification method based on neighborhood motion consistency to eliminate erron...
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Exploring tourist spatiotemporal behavior differences and tourism infrastructure supply–demand pattern fusing social media and nighttime light remote sensing data Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-02-02 Zuyu Gao, Hongyun Zeng, Xingyi Zhang, Huixia Wu, Ruisi Zhang, Yongqi Sun, Qingyun Du, Zhifang Zhao, Zhaozheng Li, Fei Zhao, Liangliang Liu
Increased tourism forms subdivide the tourism market. Therefore, distinguishing spatiotemporal behaviors of different types of tourists is of great significance for tourism marketing and planning. ...
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Forest above-ground biomass estimation using X, C, L, and P band SAR polarimetric observations and different inversion models Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-02-06 Yongjie Ji, Lu Wang, Wangfei Zhang, Armando Marino, Mengjin Wang, Jiamin Ma, Jianmin Shi, Qian Jing, Fuxiang Zhang, Han Zhao, Guoran Huang, Feifei Yang, Guoqing Wang
Since each frequency senses distinct features of forest structure, it is attractive to understand whether complementarity of multi-frequency can improve the retrieval of forest above ground biomass...
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Horizontal and vertical inequity of multi-modal healthcare accessibility in the aging Japan in the post-COVID era: a GIS-based approach Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-02-02 Siqin Wang, Yukio Sadahiro
Evaluating the inequity of healthcare accessibility across demographic groups in the post-COVID era is of critical importance for an aging society like Japan – it helps to achieve better social equ...
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A spectral and spatial transformer for hyperspectral remote sensing image super-resolution Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-02-07 Bingqian Wang, Jianhua Chen, Huajun Wang, Yipeng Tang, Jiongling Chen, Ye Jiang
Due to the generally low spatial resolution of hyperspectral images (HSIs), early multispectral images lacked corresponding panchromatic bands, and as a result, fusion methods could not be used to ...
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A multimetric evaluation method for comprehensively assessing the influence of the icosahedral diamond grid quality on SCNN performance Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-02-07 Yuanzheng Duan, Xuesheng Zhao, Wenbin Sun, Qingping Liu, Mengmeng Qin
The increasing availability of global observational data has sparked a demand for deep learning algorithms on spherical grids to enable intelligent analysis at a global scale. However, a spherical ...
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Feature-constrained automatic geometric deformation analysis method of bridge models toward digital twin Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-02-07 Jun Zhu, Niya Luo, Zhihao Guo, Jianbo Lai, Li Zuo, Chuanjun Zhang, Yukun Guo, Ya Hu
It is very important to construct digital twin scenes, which can accurately describe the dynamically changing geographical environment and improve the level of refined management in bridge construc...
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The impact of gradient expansion of urban–rural construction land on landscape fragmentation in typical mountain cities, China Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-02-05 Yuefeng Jiang, Liang Zhou, Bao Wang, Qian Zhang, Hong Gao, Shaohua Wang, Mengqiu Cui
Hillside urbanization currently provides the most economical solution for urban expansion. However, limited attention was paid to the characteristics, processes, and patterns of gradient expansion ...
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Evaluating urban and nonurban PM2.5 variability under clean air actions in China during 2010–2022 based on a new high-quality dataset Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-02-02 Boya Liu, Lili Wang, Lei Zhang, Kaixu Bai, Xingfeng Chen, Guangna Zhao, Haitao Yin, Nan Chen, Rong Li, Jinyuan Xin, Yuesi Wang, Yang Sun, Bo Hu
The air quality in China has changed due to the implementation of clean air actions since 2013. Evaluating the spatial pattern of PM2.5 and the effectiveness of reducing anthropogenic emissions in ...
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Measuring the similarity between shapes of buildings using graph edit distance Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-02-01 Xiechun Lu, Houpu Li, Yongyang Xu, Jiangwen Liu, Zhanlong Chen
Building data play a crucial role in geographic information science, and building shape similarity can be used for spatial inquiry, cartographic generalization, map updating, data quality assessmen...
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Improved Arctic sea-ice motion in summer from the brightness temperature of the AMSR2 36GHz channel Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-02-05 Qian Shi, Qinghua Yang, Jie Su, Jiping Liu, Qizhen Sun
Information on Arctic sea-ice motion in summer is critical for operational sea-ice monitoring and prediction and commercial navigation. Affected by the melting of the sea-ice surface, the accuracy ...
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How sustainable is OpenStreetMap? Tracking individual trajectories of editing behavior Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-02-05 Xiang Zhang, Jiayan An, Yuchuan Zhou, Min Yang, Xi Zhao
OpenStreetMap (OSM) has been playing increasingly important roles in location-based services, urban planning, tourism, and disaster management. In this paper, we examine a fundamental issue: can OS...
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Monitoring tropical forest change using tree canopy cover time series obtained from Sentinel-1 and Sentinel-2 data Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-02-05 Zhe Li, Tetsuji Ota, Nobuya Mizoue
The most practical method for monitoring forest change over large areas is using remotely sensed data. However, given that current techniques are somewhat weak for monitoring small-scale forest dis...
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A remote sensing index for the detection of multi-type water quality anomalies in complex geographical environments Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-02-05 Haishuo Wei, Kun Jia, Qiao Wang, Biao Cao, Jianbo Qi, Wenzhi Zhao, Kai Yan
Frequent water quality anomalies severely affect the ecological environment, hindering the protection, restoration, and sustainable use of inland freshwater ecosystems in Sustainable Development Go...
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Automated spectral transfer learning strategy for semi-supervised regression on Chlorophyll-a retrievals with Sentinel-2 imagery Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-02-06 Xuming Shi, Lingjia Gu, Xiaofeng Li, Tao Jiang, Tong Gao
Multispectral images make it possible to retrieve water quality parameters over a wide range and long time series by remote sensing. The robustness of traditional supervised machine learning models...
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Vegetation segmentation using oblique photogrammetry point clouds based on RSPT network Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-02-05 Hong Hu, Zhangyu Sun, Ruihong Kang, Yanlan Wu, Baoguo Wang
Vegetation segmentation via point cloud data can provide important information for urban planning and environmental protection. The point cloud dataset is obtained using light detection and ranging...
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Multi-type and fine-grained urban green space function mapping based on BERT model and multi-source data fusion Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-01-31 Su Cao, Xuesheng Zhao, Shouhang Du
Urban green space (UGS) is important to the urban ecological environment. It has physical characteristics and social function characteristics and plays an important role in urban climate change, su...
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Using time-series imagery and 3DLSTM model to classify individual tree species Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-01-31 Caiyan Chen, Linhai Jing, Hui Li, Yunwei Tang, Fulong Chen, Bingxiang Tan
Classification of individual tree species (ITS) is critical for fine-scale forest surveys. However, it is difficult to obtain the complete and high-precision data needed for ITS classification in l...
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CG-CFPANet: a multi-task network for built-up area extraction from SDGSAT-1 and Sentinel-2 remote sensing images Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-01-31 Lei Wang, Cheng Ye, Fang Chen, Ning Wang, Congrong Li, Haiying Zhang, Yu Wang, Bo Yu
Accurate extraction of built-up areas is helpful to urban development and map updating. Nighttime light (NTL) data can capture the lighting signal of ground objects. However, most built-up area ext...
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Comparative study on information extraction of urban wetlands and its thermal environment using the SDGSAT-1 data Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-01-30 Linsong Liu, Qingyu Li, Zhenguo Niu, Xuanlin Huo
Wetlands represent crucial ecosystems, with urban wetlands playing a significant role in regulating regional thermal environments. The Sustainable Development Goals Scientific Satellite 1 (SDGSAT-1...
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Improved indicators for the integrated assessment of coastal sustainable development based on Earth Observation Data Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-01-30 Li Zhang, Jian Zuo, Bowei Chen, Jingjuan Liao, Min Yan, Linyan Bai, Dewayany Sutrisno, Mazlan Hashim, M. M. Abdullah Al Mamun
Target 14 of the Sustainable Development Goals (SDG 14) depicts a better future regarding the capacity of coastal environments to cope with several developmental challenges. However, gaps in the da...
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A phenological knowledge transfer-based fine grained land cover change sample collection method: a case study of coastal wetlands Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-01-30 Linye Zhu, Wenbin Sun, Huaqiao Xing, Deqin Fan, Congcong Wang
Methods for fine-grained sample collection are essential for detecting land cover changes at large scales. The complexity of wetland types increases the difficulty of obtaining training samples for...
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Vertical accuracy assessment of freely available global DEMs (FABDEM, Copernicus DEM, NASADEM, AW3D30 and SRTM) in flood-prone environments Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-01-25 Michael Meadows, Simon Jones, Karin Reinke
Flood models rely on accurate topographic data representing the bare earth ground surface. In many parts of the world, the only topographic data available are the free, satellite-derived global Dig...
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Parallel algorithm for multi-viewpoint viewshed analysis on the GPU grounded in target cluster segmentation Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-01-25 Tianren Xiao, Jiqiu Deng, Chengfeng Wen, Qiqi Gu
Viewshed analysis is a significant method for GIS spatial analysis. The needed computational resources rise sharply with the increase in the number of viewpoints, making viewshed analysis inefficie...
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Spatial and temporal assessment of sustainable development indicators for the China-Pakistan transportation corridor Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-01-25 Lina Hao, Juanle Wang, Xia Lu
The China-Pakistan Transportation Corridor (CPTC) has long faced great challenges in natural disasters and sustainable development. This study develops a localised indicator evaluation system for t...
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Sunshine around the middle Earth: relief inversion less prevalent in satellite images in the near-south of the Equator than on the Equator Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-01-23 M.-Á. Bernabé-Poveda, I. Gołębiowska, R. Narváez-Benalcázar, M.-F. León-Pazmiño, M.-E. Gonzalez-Campos, A. Çöltekin
Inverted depth perception in satellite images is a well-known phenomenon. It has been previously verified that the illusion is prevalent in Northern Hemisphere (NH) images, while it is observed in ...
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Floating in the air: forecasting allergenic pollen concentration for managing urban public health Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-01-23 Xiaoyu Zhu, Xuanlong Ma, Zhengyang Zhang, Yuxia Liu, Yunpeng Luo, Kai Yan, Tao Pei, Alfredo Huete
The presence of airborne allergenic pollen causes a variety of immune reactions and respiratory diseases, threatening human life in severe cases. Climate change is exacerbating the allergenic polle...
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An efficient and accurate deep learning method for tree species classification that integrates depthwise separable convolution and dilated convolution using hyperspectral data Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-01-23 Mengni Fu, Chi Lu, Yingwu Mao, Xiaoli Zhang, Yong Wu, Hongbin Luo, Zhi Liu, Wenfang Li, Guanglong Ou
Addressing accuracy and computational complexity challenges in hyperspectral image classification for small sample and multi-species scenarios, we developed DSC-DC, a lightweight convolutional neur...
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Assessment of the urban habitat quality service functions and their drivers based on the fusion module of graph attention network and residual network Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-01-22 Chunyang Wang, Kui Yang, Wei Yang, Runkui Li, Haiyang Qiang, Bibo Lu, Baishun Su, Zenan Yang
Land use/cover change is a major cause of ecological degradation. Reliable LUCC data are essential for evaluating habitat quality. The current method of surface cover classification based on the co...
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Impacts of spatial explanatory variables on surface urban heat island intensity between urban and suburban regions in China Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-01-16 Xuecao Li, Shirao Liu, Qiwei Ma, Wenting Cao, Huaguo Zhang, Zhihao Wang
The intensified thermal environment in suburban areas is raising wide concerns for human society and public health due to rapid urbanization. Although the satellite-derived surface urban heat islan...
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Dual convolutional network based on hypergraph and multilevel feature fusion for road extraction from high-resolution remote sensing images Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-01-16 BoWen Li, XiangHong Tang, Rang Xiao, JianGuang Lu, YuHao Wang
Road extraction from high-resolution remote sensing images (HRSI) is confronted with the challenge that roads are occluded by other objects, including opaque obstructions and similarly colored area...
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Enhancing mountainous permafrost mapping by leveraging a rock glacier inventory in northeastern Tibetan Plateau Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-01-17 Zhongyi Hu, Dezhao Yan, Min Feng, Jinhao Xu, Sihai Liang, Yu Sheng
Our understanding of permafrost distribution is still limited, particularly in mountainous areas where highly heterogeneous environments and a lack of reliable field data tend to prevail. The exten...
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Fine-resolution mapping and assessment of artificial surfaces in the northern hemisphere permafrost environments Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-01-16 Chong Liu, Huabing Huang, Qi Zhang, Xuejie Feng, Xuejiao Hou, Caixia Liu, Hanzeyu Xu, Xiao Cheng
Permafrost degradation has strong and long-lasting effects on anthropogenic land-use activities, contradicting the goal of sustainable development in polar and high-elevation regions. The artificia...
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Sensing the multi-scale landscape functions heterogeneity by big geodata from parcel to urban agglomerations-a case of the Greater Bay Area, China Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-01-17 Ku Gao, Xiaomei Yang, Zhihua Wang, Feilin Lai, Huifang Zhang, Tiezhu Shi, He Li, Qingyang Zhang
Multi-scale landscape functions play a critical role in revealing intricate functional structures within large regions. However, previous studies on landscape functions have predominantly focused o...
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Predicting the locations of missing persons in China by using NGO data and deep learning techniques Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-01-17 Anning Dong, Yatao Zhang, Zijin Guo, Peng Luo, Yao Yao, Jialyu He, Qia Zhu, Ying Jiang, Kailu Xiong, Qingfeng Guan
Missing person crimes can seriously affect the well-being of Chinese families, and missing person destination prediction can help to solve this problem. Using nongovernmental organization (NGO) dat...
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Remote detection of Artemia slicks using multisatellite observations: spectral, spatial and temporal considerations Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-01-10 Xin Wang, Jingyi Tian, Li Ma, Xianghan Sun, Liqiao Tian
Artemia has high commercial and ecological value, but few studies have considered the spectral, spatial and temporal requirements of Artemia multisatellite observations. Adopting Landsat-8 OLI and ...
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Extracting urban impervious surface based on optical and SAR images cross-modal multi-scale features fusion network Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-01-10 Songjing Guo, Wenfu Wu, Zhenfeng Shao, Jiahua Teng, Deren Li
Monitoring the spatiotemporal distribution of urban impervious surface is an essential indication for measuring the urbanization process. Optical and synthetic aperture radar (SAR) images are key d...
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A generalized framework for agricultural field delineation from high-resolution satellite imageries Int. J. Digit. Earth (IF 5.1) Pub Date : 2024-01-10 Yu Zhu, Yaozhong Pan, Tangao Hu, Dujuan Zhang, Chuanwu Zhao, Yuan Gao
Accurate digital data on agricultural fields are crucial for various agriculture applications. While deep learning methods have shown promise in delineating fields from high-resolution imagery, the...