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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 从地块到城市群的大地理数据感知多尺度景观功能异质性--以中国粤港澳大湾区为例
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-01-17 DOI: 10.1080/17538947.2024.2304073
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...
多尺度景观功能在揭示大区域内错综复杂的功能结构方面发挥着至关重要的作用。然而,以往关于景观功能的研究主要集中在...
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引用次数: 0
Predicting the locations of missing persons in China by using NGO data and deep learning techniques 利用非政府组织数据和深度学习技术预测中国失踪人员的位置
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-01-17 DOI: 10.1080/17538947.2024.2304076
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...
失踪人口犯罪会严重影响中国家庭的幸福,而失踪人口目的地预测有助于解决这一问题。利用非政府组织(NGO)的数据来预测失踪人员的去向,可以帮助解决这个问题。
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引用次数: 0
Fine-resolution mapping and assessment of artificial surfaces in the northern hemisphere permafrost environments 北半球永久冻土环境中人工表面的精细制图和评估
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-01-16 DOI: 10.1080/17538947.2024.2302579
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...
永冻土退化对人为土地利用活动具有强烈而持久的影响,与极地和高海拔地区的可持续发展目标相悖。人类活动对永久冻土的破坏是不可逆转的。
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引用次数: 0
Remote detection of Artemia slicks using multisatellite observations: spectral, spatial and temporal considerations 利用多卫星观测对浮游藻类进行遥感探测:光谱、空间和时间方面的考虑因素
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-01-10 DOI: 10.1080/17538947.2023.2301433
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 ...
蒿草具有很高的商业和生态价值,但很少有研究考虑到蒿草多卫星观测的光谱、空间和时间要求。采用Landsat-8 OLI和...
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引用次数: 0
Extracting urban impervious surface based on optical and SAR images cross-modal multi-scale features fusion network 基于光学和合成孔径雷达图像的城市不透水表面提取 跨模态多尺度特征融合网络
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-01-10 DOI: 10.1080/17538947.2023.2301675
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...
监测城市不透水表面的时空分布是衡量城市化进程的重要指标。光学和合成孔径雷达(SAR)图像是测量城市不透水表面时空分布的关键数据。
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引用次数: 0
A generalized framework for agricultural field delineation from high-resolution satellite imageries 利用高分辨率卫星图像进行农田划界的通用框架
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-01-10 DOI: 10.1080/17538947.2023.2297947
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...
准确的农田数字数据对各种农业应用至关重要。虽然深度学习方法在从高分辨率图像中划分农田方面大有可为,但...
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引用次数: 0
Medium-range forecasting of oceanic eddy trajectory 海洋漩涡轨迹的中期预报
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-01-09 DOI: 10.1080/17538947.2023.2300325
Xiaoyan Chen, Ge Chen, Linyao Ge, Chuanchuan Cao, Baoxiang Huang
The capability of continuous eddy tracking has been significantly advanced over the past decades, thanks to the availability of sea surface height measurements routinely collected by satellite alti...
在过去的几十年里,由于卫星高度计定期收集的海面高度测量数据的可用性,连续涡流跟踪的能力得到了显著提高。
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引用次数: 0
SSC-SFN: spectral-spatial non-local segment federated network for hyperspectral image classification with limited labeled samples SSC-SFN:利用有限的标记样本进行高光谱图像分类的光谱-空间非局部网段联合网络
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-01-09 DOI: 10.1080/17538947.2023.2300319
Quanshan Gao, Taixia Wu, Shudong Wang
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引用次数: 1
Exploring multi-relational spatial interaction imputation with distance-decay effects 利用距离衰减效应探索多关系空间交互估算
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-01-09 DOI: 10.1080/17538947.2023.2300316
Junlei Yuan, Yuxin Zhao, Disheng Yi, Sijia Jin, Huijun Zhou, Jing Zhang
Spatial interaction imputation aims to compensate for missing stable connections in geographical space, bolstering interaction network integrity and accuracy. Graph neural networks excel in graph-s...
空间交互估算旨在弥补地理空间中缺失的稳定连接,从而提高交互网络的完整性和准确性。图神经网络在图分析中表现出色...
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引用次数: 0
Deep object segmentation and classification networks for building damage detection using the xBD dataset 利用 xBD 数据集进行建筑物损坏检测的深度对象分割和分类网络
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-01-08 DOI: 10.1080/17538947.2024.2302577
Zongze Zhao, Fenglei Wang, Shiyu Chen, Hongtao Wang, Gang Cheng
Deep learning has been extensively utilized in the assessment of building damage after disasters. However, the field of building damage segmentation faces challenges, such as misjudged regions, hig...
深度学习已被广泛应用于灾后建筑物损坏评估。然而,建筑物损伤细分领域面临着各种挑战,如区域判断错误、高分辨率和低分辨率等。
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引用次数: 0
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International Journal of Digital Earth
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