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Remote Sensing Letters最新文献

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Quantifying temporal mismatches in satellite and in situ data for aquatic environments. 量化水生环境卫星和原位数据的时间不匹配。
IF 1.5 4区 地球科学
Remote Sensing Letters Pub Date : 2026-04-03 DOI: 10.1080/2150704X.2026.2644226
Olivia Cronin-Golomb, Kate Meyers, Wilson Salls, Blake Schaeffer
{"title":"Quantifying temporal mismatches in satellite and in situ data for aquatic environments.","authors":"Olivia Cronin-Golomb, Kate Meyers, Wilson Salls, Blake Schaeffer","doi":"10.1080/2150704X.2026.2644226","DOIUrl":"https://doi.org/10.1080/2150704X.2026.2644226","url":null,"abstract":"<p><p>Accurate interpretation of satellite-derived water quality algorithms requires comprehensive error quantification. Most errors in satellite-derived water quality estimates are attributed to satellite data processing or algorithm refinement, and in situ data are often considered the reference standard for validation. However, temporal mismatches between satellite overpasses and in situ sampling introduce an additional and distinct source of uncertainty that is frequently acknowledged but remains poorly characterized. A review of Sentinel-2 inland water chlorophyll-<i>a</i> (chl-<i>a</i>) algorithms found sampling time discrepancies ranging from 1 hour to 5 years, with mean absolute errors spanning 0.11 to 39.48 μg L<sup>-1</sup>. To better understand this source of error, we simulated temporal mismatches using a long-term chl-<i>a</i> dataset from buoys on B. Everett Jordan Lake, North Carolina. Results show that the mean absolute deviations increased nonlinearly with rising chl-<i>a</i> concentrations and longer temporal mismatches. The probability of a satellite-derived chl-<i>a</i> value being within ±20% of an in situ measurement ranged from 60- 100% on the same day and declined to 44.44-88.89% after 11 days, depending on chl-<i>a</i> concentration. These findings highlight the npotential impact of temporal mismatches on algorithm performance and the need for consistent quantification and reporting standards in future studies.</p>","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"17 4","pages":"404-415"},"PeriodicalIF":1.5,"publicationDate":"2026-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13094818/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147786846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An approach to protected designation of origin (PDO) for bee honey utilizing the normalized difference vegetation index (NDVI) 利用归一化差异植被指数（NDVI）指定蜜蜂蜂蜜原产地保护（PDO）的方法
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-09-13 DOI: 10.1080/2150704x.2024.2398816
Hossam F. Abou-Shaara, Ray Sciberras
{"title":"An approach to protected designation of origin (PDO) for bee honey utilizing the normalized difference vegetation index (NDVI)","authors":"Hossam F. Abou-Shaara, Ray Sciberras","doi":"10.1080/2150704x.2024.2398816","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2398816","url":null,"abstract":"A methodology designed to monitor vegetation changes over multiple years in the vicinity of an apiary is presented. This approach relies on the utilization of the normalized difference vegetation i...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"1 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142179149","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
Analysis of rain effects on China-France oceanography satellite scatterometer backscatter measurements 雨水对中法海洋卫星散射计反向散射测量的影响分析
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-09-09 DOI: 10.1080/2150704x.2024.2399328
Meixuan Quan, Qiushuang Yan, Chenqing Fan, Junmin Meng, Jie Zhang
{"title":"Analysis of rain effects on China-France oceanography satellite scatterometer backscatter measurements","authors":"Meixuan Quan, Qiushuang Yan, Chenqing Fan, Junmin Meng, Jie Zhang","doi":"10.1080/2150704x.2024.2399328","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2399328","url":null,"abstract":"The rotating fan beam scanning observation mechanism of China-France oceanography satellite (CFOSAT) scatterometer provides more comprehensive ocean measurements. However, its data quality is often...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"153 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142179136","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
Automatic detection and extraction of lost shipping containers based on YOLO and the segment anything model 基于 YOLO 和分段任何事物模型自动检测和提取丢失的集装箱
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-09-09 DOI: 10.1080/2150704x.2024.2398814
Hongtao Li, Yong Yang, Shengping Wang, Zhigao Chen, Linbang He
{"title":"Automatic detection and extraction of lost shipping containers based on YOLO and the segment anything model","authors":"Hongtao Li, Yong Yang, Shengping Wang, Zhigao Chen, Linbang He","doi":"10.1080/2150704x.2024.2398814","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2398814","url":null,"abstract":"The artificial visual method is currently commonly used to decipher multi-beam water column images to obtain the position and state of lost shipping containers. However, the recognition efficiency ...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"118 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142262033","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
Unfolding multilevel agglomerative strategies for SVM classification: a case study in discriminating spectrally similar land covers 为 SVM 分类展开多级聚类策略：光谱相似地表覆盖物判别案例研究
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-09-09 DOI: 10.1080/2150704x.2024.2398813
Willian Vieira de Oliveira, Luciano Vieira Dutra, Sidnei João Siqueira Sant’Anna
{"title":"Unfolding multilevel agglomerative strategies for SVM classification: a case study in discriminating spectrally similar land covers","authors":"Willian Vieira de Oliveira, Luciano Vieira Dutra, Sidnei João Siqueira Sant’Anna","doi":"10.1080/2150704x.2024.2398813","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2398813","url":null,"abstract":"In remote sensing applications, image classification algorithms normally require parameter optimization strategies to adapt to the complexities of the data and determine the model’s parameters for ...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"15 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142179153","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
Wind speed retrieval from X-Band marine radar based on the attenuation horizontal component and azimuth scale expansion method 基于衰减水平分量和方位角尺度扩展法的 X 波段海洋雷达风速检索
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-09-02 DOI: 10.1080/2150704x.2024.2383382
Huanyu Yu, Zhizhong Lu, Guanglei Wen, Hui Wang
{"title":"Wind speed retrieval from X-Band marine radar based on the attenuation horizontal component and azimuth scale expansion method","authors":"Huanyu Yu, Zhizhong Lu, Guanglei Wen, Hui Wang","doi":"10.1080/2150704x.2024.2383382","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2383382","url":null,"abstract":"A method based on attenuation horizontal component and azimuth scale expansion is proposed to extract wind speed from X-band marine radar images. The attenuation horizontal component of each azimut...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"74 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142262034","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
PAU2-Net: local and global interaction for infrared small target detection PAU2-Net：红外小目标探测的局部和全局互动
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-08-23 DOI: 10.1080/2150704x.2024.2391082
Xin Peng, Changzhen Qiu, Weiping Yang, Yang Liu, Zhiyong Zhang
{"title":"PAU2-Net: local and global interaction for infrared small target detection","authors":"Xin Peng, Changzhen Qiu, Weiping Yang, Yang Liu, Zhiyong Zhang","doi":"10.1080/2150704x.2024.2391082","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2391082","url":null,"abstract":"Infrared small target detection (ISTD) is a significant technique for search and rescue applications. The lack of intrinsic target features and complex backgrounds make small target detection chall...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"13 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142179140","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
Crop classification based on G-CNN using multi-scale remote sensing images 利用多尺度遥感图像，基于 G-CNN 进行作物分类
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-08-22 DOI: 10.1080/2150704x.2024.2388848
Mengmeng Meng, Kaixin Zhang, Yabo Huang, Ning Li, Zhengwei Guo, Zhimin Zhou
{"title":"Crop classification based on G-CNN using multi-scale remote sensing images","authors":"Mengmeng Meng, Kaixin Zhang, Yabo Huang, Ning Li, Zhengwei Guo, Zhimin Zhou","doi":"10.1080/2150704x.2024.2388848","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2388848","url":null,"abstract":"Crop classification is important for monitoring crop growth and ensuring national food security. Crop plots have a complex spatial planting structure with a certain degree of fragmentation, which l...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"48 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142179137","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
Exploring the optimal sequences for fusing land surface temperature via spatiotemporal fusion: ‘retrieval-then-fusion’ or ‘fusion-then-retrieval’? 探索通过时空融合实现陆地表面温度融合的最佳序列："先检索后融合 "还是 "先融合后检索"？
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-08-22 DOI: 10.1080/2150704x.2024.2391090
Yumin Li, Meiling Gao, Zhenyu Tan, Bing Wang, Zhenhong Li
{"title":"Exploring the optimal sequences for fusing land surface temperature via spatiotemporal fusion: ‘retrieval-then-fusion’ or ‘fusion-then-retrieval’?","authors":"Yumin Li, Meiling Gao, Zhenyu Tan, Bing Wang, Zhenhong Li","doi":"10.1080/2150704x.2024.2391090","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2391090","url":null,"abstract":"Due to the limitations inherent in satellite sensor capabilities, it remains a challenge to balance the temporal and spatial resolutions of current remote sensing observations. Spatiotemporal fusio...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"15 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142179138","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
Improved estimation of global surface ocean total alkalinity fields using in-situ and satellite observations 利用原位和卫星观测改进全球表层海洋总碱度场的估算
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-08-21 DOI: 10.1080/2150704x.2024.2391091
Ibrahim Shaik, Yash Manmode, Kande Vamsi Krishna, Sandesh Yadav, Haritha M., Mahesh P., Gowtham Krishna, P. V. Nagamani, G. Srinivasa Rao, S. K. Begum, M. Srinivasa Rao
{"title":"Improved estimation of global surface ocean total alkalinity fields using in-situ and satellite observations","authors":"Ibrahim Shaik, Yash Manmode, Kande Vamsi Krishna, Sandesh Yadav, Haritha M., Mahesh P., Gowtham Krishna, P. V. Nagamani, G. Srinivasa Rao, S. K. Begum, M. Srinivasa Rao","doi":"10.1080/2150704x.2024.2391091","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2391091","url":null,"abstract":"Total Alkalinity (TA) is identified as one of the EssentialClimateVariable (ECV) by the GlobalClimateObservingSystem (GCOS) for climate change impact assessment studies. This also plays an importan...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"4 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142179139","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
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