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Optimizing the spatial accessibility of outdoor sports facilities: a greedy heuristic algorithm based on remote sensing images 优化户外运动设施的空间可达性:基于遥感图像的贪婪启发式算法
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-08-13 DOI: 10.1080/17538947.2024.2390427
Liyuan Liu, Zhicheng Xu, Shenjun Yao, Muhan Lv, Chang Liu
Recent studies on the accessibility of sports facilities have rarely considered the specific attributes of the facilities, limiting their ability to define service potential, and have often neglect...
最近关于体育设施无障碍环境的研究很少考虑到设施的具体属性,从而限制了其界定服务潜力的能力,而且往往忽视了...
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引用次数: 0
A situational ethics and harmonization challenges in the case of EU biodiversity data governance 欧盟生物多样性数据治理中的情景伦理与协调挑战
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-08-13 DOI: 10.1080/17538947.2024.2391030
Bartosz Ślosarski, Natalia Juchniewicz
The article discusses challenges in harmonizing biodiversity data by considering situational ethics in the valuation of data practices. Data harmonization involves technical processes for managing ...
文章通过考虑数据评估实践中的情景伦理,讨论了统一生物多样性数据所面临的挑战。数据协调涉及管理生物多样性数据的技术过程。
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引用次数: 0
Response of habitat quality to land use changes in The Johor River Estuary 柔佛河口生境质量对土地利用变化的响应
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-08-13 DOI: 10.1080/17538947.2024.2390439
Jiaojie Zhang, Fengqin Yan, Fenzhen Su, Vincent Lyne, Xuege Wang, Xinyi Wang
Rich resources and fragile ecosystems of estuaries are increasingly impacted by land use and land cover (LULC). However, previous studies of habitat quality (HQ) typically do not model the impact o...
河口丰富的资源和脆弱的生态系统正日益受到土地利用和土地覆被 (LULC) 的影响。然而,以往对生境质量(HQ)的研究通常没有模拟土地利用和土地覆被对生境质量的影响。
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引用次数: 0
Evaluating the influence of COVID-19 pandemic on socioeconomic development in Wumeng Mountain area based on multi-source remote sensing data 基于多源遥感数据评估 COVID-19 大流行对乌蒙山区社会经济发展的影响
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-08-13 DOI: 10.1080/17538947.2024.2391031
Ting Hu, Niantan Li, Qiquan Yang
Assessing the socioeconomic development of rural areas is important for the targeted implementation of rural revitalization in China, especially after three years of COVID-19 pandemic restrictions....
评估农村地区的社会经济发展状况对于中国有针对性地实施乡村振兴具有重要意义,尤其是在 COVID-19 大流行限制三年之后....。
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引用次数: 0
An unmanned aerial system benchmark object detection dataset for deep learning in outfall surveys 用于排污口勘测深度学习的无人机系统基准物体检测数据集
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-08-13 DOI: 10.1080/17538947.2024.2390443
Chengbin Wu, Yaohuan Huang, Haijun Yang, Ling Yao, Yesen Liu, Zhuo Chen
Deep-learning-based object detection in UAS imagery is crucial for outfall surveys and basin environmental protection. Comprehensive UAS image datasets serve as a foundation for creating deep-learn...
基于深度学习的无人机系统图像目标检测对于排污口调查和流域环境保护至关重要。全面的无人机系统图像数据集为创建基于深度学习的无人机系统图像目标检测奠定了基础。
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引用次数: 0
Geometric calibration of large-scale SAR images using wind turbines as ground control points 利用风力涡轮机作为地面控制点对大比例尺合成孔径雷达图像进行几何校准
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-08-06 DOI: 10.1080/17538947.2024.2385080
Mengrong Xi, Yongjiu Feng, Zhenkun Lei, Pengshuo Li, Rong Wang, Panli Tang, Xiaoyan Tang, Xiaohua Tong
The geometric positioning accuracy of synthetic aperture radar images is a key factor impacting their application, necessitating geometric calibration for improved accuracy. Traditional geometric c...
合成孔径雷达图像的几何定位精度是影响其应用的关键因素,因此必须进行几何校准以提高精度。传统的几何校准方法无法满足这一要求。
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引用次数: 0
Evaluating soil moisture retrieval in Arctic and sub-Arctic environments using passive microwave satellite data 利用被动微波卫星数据评估北极和亚北极环境中的土壤水分检索情况
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-08-04 DOI: 10.1080/17538947.2024.2385079
Juliette Ortet, Arnaud Mialon, Yann Kerr, Alain Royer, Aaron Berg, Julia Boike, Elyn Humphreys, François Gibon, Philippe Richaume, Simone Bircher-Adrot, Azza Gorrab, Alexandre Roy
Soil Moisture (SM) is a key parameter in northern Arctic and sub-Arctic (A-SA) environments that are highly vulnerable to climate change. We evaluated six SM satellite passive microwave datasets us...
土壤水分(SM)是极易受气候变化影响的北极北部和亚北极(A-SA)环境中的一个关键参数。我们对六个土壤水分卫星被动微波数据集进行了评估。
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引用次数: 0
Point cloud semantic segmentation of grotto scenes using the knowledge-guided deep learning method 利用知识引导的深度学习方法对石窟场景进行点云语义分割
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-08-04 DOI: 10.1080/17538947.2024.2385081
Su Yang, Miaole Hou, Songnian Li
In recent years, the deep learning-based semantic segmentation for point clouds has demonstrated remarkable capabilities in processing 3D urban scenes for applications such as three-dimensional rec...
近年来,基于深度学习的点云语义分割技术在三维城市场景的处理方面展现出了非凡的能力,其应用领域包括三维再现、三维城市景观、三维交通和三维交通管理。
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引用次数: 0
Green space coverage versus air pollution: a cloud-based remote sensing data analysis in Sichuan, Western China 绿地覆盖率与空气污染:中国西部四川的云遥感数据分析
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-08-04 DOI: 10.1080/17538947.2024.2383454
Amin Naboureh, Ainong Li, Jinhu Bian, Guangbin Lei, Xi Nan, Zhengjian Zhang, Siavash Shami, Xiaohan Lin
Air pollution is the greatest health risk to human health, as acknowledged in several Sustainable Development Goals (SDG), such as SDG-1, SDG-3, SDG-7, and SDG-11. Despite global comprehension of t...
正如多个可持续发展目标(SDG),如 SDG-1、SDG-3、SDG-7 和 SDG-11 所承认的那样,空气污染是人类健康面临的最大健康风险。尽管全球都认识到空气污染对人类健康的危害,但空气污染仍是人类面临的最大健康风险。
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引用次数: 0
Estimation of global ground-level PM10 concentrations using a stacking model 利用叠加模型估算全球地面 PM10 浓度
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-07-31 DOI: 10.1080/17538947.2024.2385071
Xiankang Xu, Min Chen, Jingwei Shen
Atmospheric environmental pollution has gained significant attention recently. Inhalable particulate matter (PM10) impacts societal development and poses serious health threats. Consequently, PM10 ...
大气环境污染问题近来备受关注。可吸入颗粒物(PM10)影响社会发展,对健康构成严重威胁。因此,PM10 ...
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引用次数: 0
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International Journal of Digital Earth
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