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European Journal of Remote Sensing最新文献

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Estimation of the occurrence, severity, and volume of heartwood rot using airborne laser scanning and optical satellite data 利用机载激光扫描和光学卫星数据估计心材腐烂的发生、严重程度和数量
IF 4 4区 地球科学 Q2 REMOTE SENSING Pub Date : 2023-07-04 DOI: 10.1080/22797254.2023.2229501
E. Hansen, Julius Wold, M. Dalponte, T. Gobakken, Lennart Noordermeer, H. Ørka
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引用次数: 0
TrmGLU-Net: transformer-augmented global-local U-Net for hyperspectral image classification with limited training samples TrmGLU-Net:用于有限训练样本的高光谱图像分类的变压器增强全局-局部U-Net
IF 4 4区 地球科学 Q2 REMOTE SENSING Pub Date : 2023-06-23 DOI: 10.1080/22797254.2023.2227993
Bing Liu, Yifan Sun, Ruirui Wang, Anzhu Yu, Zhixiang Xue, Yusong Wang
{"title":"TrmGLU-Net: transformer-augmented global-local U-Net for hyperspectral image classification with limited training samples","authors":"Bing Liu, Yifan Sun, Ruirui Wang, Anzhu Yu, Zhixiang Xue, Yusong Wang","doi":"10.1080/22797254.2023.2227993","DOIUrl":"https://doi.org/10.1080/22797254.2023.2227993","url":null,"abstract":"","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":"1 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41495322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Using geospatial data to identify land grabbing. Detecting spatial reconfigurations during the implementation of the Nacala Development Corridor in Mozambique with remote sensing and land conflicts databases 利用地理空间数据识别土地掠夺。利用遥感和土地冲突数据库监测莫桑比克纳卡拉发展走廊实施期间的空间重新配置
IF 4 4区 地球科学 Q2 REMOTE SENSING Pub Date : 2023-06-15 DOI: 10.1080/22797254.2023.2223751
Ricardo Gellert Paris, A. Rienow
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引用次数: 0
Monitoring biological degradation of historical stone using hyperspectral imaging 利用高光谱成像技术监测历史石的生物降解
IF 4 4区 地球科学 Q2 REMOTE SENSING Pub Date : 2023-06-14 DOI: 10.1080/22797254.2023.2220565
E. Matoušková, K. Kovářová, Michal Cihla, J. Hodač
{"title":"Monitoring biological degradation of historical stone using hyperspectral imaging","authors":"E. Matoušková, K. Kovářová, Michal Cihla, J. Hodač","doi":"10.1080/22797254.2023.2220565","DOIUrl":"https://doi.org/10.1080/22797254.2023.2220565","url":null,"abstract":"","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":" ","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44087915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
High-resolution monitoring of landslides with UAS photogrammetry and digital image correlation 利用无人机摄影测量和数字图像相关技术对滑坡进行高分辨率监测
IF 4 4区 地球科学 Q2 REMOTE SENSING Pub Date : 2023-06-02 DOI: 10.1080/22797254.2023.2216361
F. Mugnai, A. Masiero, Riccardo Angelini, I. Cortesi
Periodically monitoring landslides is a key factor for supporting the realisation of hazard warning systems and risk reduction in the corresponding neighbourhood areas. Although satellite remote sensing solutions can be considered for low spatial resolution monitoring, this approach is still inappropriate for high spatial resolution investigations. Ground-based Radar Interferometry is also a widely used technique that allows for working at a proper spatial resolution, but it can often be an overbudget solution for most applications. Instead, photogrammetric surveys based on Unmanned Aerial System (UAS) imagery appear as a very interesting approach in terms of both spatial resolution and flexibility in temporally repeating the survey. Motivated by this observation, this work investigates the use of multi-temporal UAS surveys for landslide monitoring. To be more precise, Digital Image Correlation (DIC) has been applied to orthomosaics generated from different UAS photogrammetry surveys to compute the area’s deformation map. Compared with a reference GNSS survey, the results obtained using NHAZCA IRIS software and an in-house DIC approach show a deformation estimation accuracy of approximately 0.1 m, a reasonable accuracy for landslides moving at moderate velocity.
定期监测山体滑坡是支持在相应邻近地区实现危险预警系统和降低风险的关键因素。尽管卫星遥感解决方案可以考虑用于低空间分辨率监测,但这种方法仍然不适用于高空间分辨率调查。地面雷达干涉测量也是一种广泛使用的技术,可以在适当的空间分辨率下工作,但对于大多数应用来说,它往往是一种预算过高的解决方案。相反,基于无人机系统(UAS)图像的摄影测量测量在空间分辨率和时间重复测量的灵活性方面似乎是一种非常有趣的方法。基于这一观察结果,本工作调查了多时相无人机调查在滑坡监测中的应用。更准确地说,数字图像相关(DIC)已被应用于不同无人机摄影测量测量生成的正交镶嵌图,以计算该地区的变形图。与参考GNSS调查相比,使用NHAZCA IRIS软件和内部DIC方法获得的结果显示,变形估计精度约为0.1 m,对于以中等速度移动的滑坡来说,这是一个合理的精度。
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引用次数: 1
Capturing deprived areas using unsupervised machine learning and open data: a case study in São Paulo, Brazil 使用无监督机器学习和开放数据捕获贫困地区:巴西圣保罗的案例研究
IF 4 4区 地球科学 Q2 REMOTE SENSING Pub Date : 2023-05-19 DOI: 10.1080/22797254.2023.2214690
Lorraine Trento Oliveira, M. Kuffer, Nina Schwarz, J. Pedrassoli
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引用次数: 1
Machine learning-based segmentation of aerial LiDAR point cloud data on building roof 基于机器学习的建筑屋顶航空激光雷达点云数据分割
IF 4 4区 地球科学 Q2 REMOTE SENSING Pub Date : 2023-05-11 DOI: 10.1080/22797254.2023.2210745
E. Dey, M. Awrangjeb, Fayez Tarsha Kurdi, Bela Stantic
{"title":"Machine learning-based segmentation of aerial LiDAR point cloud data on building roof","authors":"E. Dey, M. Awrangjeb, Fayez Tarsha Kurdi, Bela Stantic","doi":"10.1080/22797254.2023.2210745","DOIUrl":"https://doi.org/10.1080/22797254.2023.2210745","url":null,"abstract":"","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":" ","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48642634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Planet care from space 来自太空的行星护理
IF 4 4区 地球科学 Q2 REMOTE SENSING Pub Date : 2023-04-14 DOI: 10.1080/22797254.2023.2201062
M. T. Melis, M. Dessena, M. Boschetti, G. Candiani, G. Deiana, Laura Pioli
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引用次数: 0
Deep hierarchical transformer for change detection in high-resolution remote sensing images 用于高分辨率遥感图像变化检测的深层变换器
IF 4 4区 地球科学 Q2 REMOTE SENSING Pub Date : 2023-04-06 DOI: 10.1080/22797254.2023.2196641
Bing Liu, Anzhu Yu, Xibing Zuo, Ruirui Wang, Chunping Qiu, Xuchu Yu
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引用次数: 0
Estimating the effect of water shortage on olive trees by the combination of meteorological and Sentinel-2 data 结合气象和Sentinel-2数据估算缺水对橄榄树的影响
IF 4 4区 地球科学 Q2 REMOTE SENSING Pub Date : 2023-03-31 DOI: 10.1080/22797254.2023.2194553
P. Battista, Edoardo Bellini, M. Chiesi, S. Costafreda-Aumedes, L. Fibbi, L. Leolini, M. Moriondo, B. Rapi, R. Rossi, F. Sabatini, F. Maselli
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引用次数: 0
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European Journal of Remote Sensing
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