Pub Date : 2024-11-27eCollection Date: 2024-01-01DOI: 10.1080/22797254.2024.2432975
Jussi Juola, Aarne Hovi, Miina Rautiainen
Data from the new hyperspectral satellite missions such as EnMAP are anticipated to refine leaf area index (LAI) or canopy closure (CC) monitoring in conifer-dominated forest areas. We compared contemporaneous multispectral and hyperspectral satellite images from Sentinel-2 MSI (S2) and EnMAP and assessed whether hyperspectral images offer added value in estimating LAI, effective LAI (LAIeff), and CC in a European boreal forest area. The estimations were performed using univariate and multivariate generalized additive models. The models utilized field measurements of LAI and CC from 38 forest plots and an extensive set of vegetation indices (VIs) derived from the satellite data. The best univariate models for each of the three response variables had small differences between the two sensors, but in general, EnMAP had more well-performing VIs which was reflected in the better multivariate model performances. The best performing multivariate models with the EnMAP data had ~1-6% lower relative RMSEs than S2. Wavelengths near the green, red-edge, and shortwave infrared regions were frequently utilized in estimating LAI, LAIeff, and CC with EnMAP data. Because EnMAP could estimate LAI better, the results suggest that EnMAP may be more useful than multispectral satellite sensors, such as S2, in monitoring biophysical variables of coniferous-dominated forests.
{"title":"Comparison of contemporaneous Sentinel-2 and EnMAP data for vegetation index-based estimation of leaf area index and canopy closure of a boreal forest.","authors":"Jussi Juola, Aarne Hovi, Miina Rautiainen","doi":"10.1080/22797254.2024.2432975","DOIUrl":"10.1080/22797254.2024.2432975","url":null,"abstract":"<p><p>Data from the new hyperspectral satellite missions such as EnMAP are anticipated to refine leaf area index (LAI) or canopy closure (CC) monitoring in conifer-dominated forest areas. We compared contemporaneous multispectral and hyperspectral satellite images from Sentinel-2 MSI (S2) and EnMAP and assessed whether hyperspectral images offer added value in estimating LAI, effective LAI (LAIeff), and CC in a European boreal forest area. The estimations were performed using univariate and multivariate generalized additive models. The models utilized field measurements of LAI and CC from 38 forest plots and an extensive set of vegetation indices (VIs) derived from the satellite data. The best univariate models for each of the three response variables had small differences between the two sensors, but in general, EnMAP had more well-performing VIs which was reflected in the better multivariate model performances. The best performing multivariate models with the EnMAP data had ~1-6% lower relative RMSEs than S2. Wavelengths near the green, red-edge, and shortwave infrared regions were frequently utilized in estimating LAI, LAIeff, and CC with EnMAP data. Because EnMAP could estimate LAI better, the results suggest that EnMAP may be more useful than multispectral satellite sensors, such as S2, in monitoring biophysical variables of coniferous-dominated forests.</p>","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":"57 1","pages":"2432975"},"PeriodicalIF":3.7,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11614049/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142781507","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}
Pub Date : 2024-08-12DOI: 10.1080/22797254.2024.2390995
Shiwen Zhang, Zhiqiang Zeng, Jian Tan, Jinyan Huang, Runfa Zhang, Yan Wang
Based on the objective evaluation of the regional ecological quality (Urban Cluster in Mid-inner Zhejiang) by Remote Sensing based Ecological Index (RSEI), it was proposed to study the spatial-temp...
{"title":"Spatial-temporal response of the regional ecological quality to urban settlement development","authors":"Shiwen Zhang, Zhiqiang Zeng, Jian Tan, Jinyan Huang, Runfa Zhang, Yan Wang","doi":"10.1080/22797254.2024.2390995","DOIUrl":"https://doi.org/10.1080/22797254.2024.2390995","url":null,"abstract":"Based on the objective evaluation of the regional ecological quality (Urban Cluster in Mid-inner Zhejiang) by Remote Sensing based Ecological Index (RSEI), it was proposed to study the spatial-temp...","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":"59 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142215341","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}
Pub Date : 2024-08-12DOI: 10.1080/22797254.2024.2389798
V. Leroy, S. Schunke, L. Franceschini, N. Misk, Y. Govaerts
This paper investigates how atmospheric vertical profiles of pressure, temperature, and concentration affect molecular absorption calculation. This sensitivity analysis is performed in preparation ...
本文研究了大气压力、温度和浓度的垂直剖面如何影响分子吸收计算。进行这一敏感性分析是为了准备...
{"title":"Impact of atmospheric vertical profile on hyperspectral simulations over bright desert pseudo-invariant calibration site","authors":"V. Leroy, S. Schunke, L. Franceschini, N. Misk, Y. Govaerts","doi":"10.1080/22797254.2024.2389798","DOIUrl":"https://doi.org/10.1080/22797254.2024.2389798","url":null,"abstract":"This paper investigates how atmospheric vertical profiles of pressure, temperature, and concentration affect molecular absorption calculation. This sensitivity analysis is performed in preparation ...","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":"26 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142215342","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}
Pub Date : 2024-07-08DOI: 10.1080/22797254.2024.2372855
Katarzyna Ewa Lewińska, David Frantz, Ulf Leser, Patrick Hostert
Landsat and Sentinel-2 data archives provide ever-increasing amounts of satellite data. However, the availability of usable observations greatly varies spatially and temporally. Pixel-based composi...
{"title":"Usable observations over Europe: evaluation of compositing windows for Landsat and Sentinel-2 time series","authors":"Katarzyna Ewa Lewińska, David Frantz, Ulf Leser, Patrick Hostert","doi":"10.1080/22797254.2024.2372855","DOIUrl":"https://doi.org/10.1080/22797254.2024.2372855","url":null,"abstract":"Landsat and Sentinel-2 data archives provide ever-increasing amounts of satellite data. However, the availability of usable observations greatly varies spatially and temporally. Pixel-based composi...","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":"20 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141569681","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}
Pub Date : 2024-07-04DOI: 10.1080/22797254.2024.2372856
Mulugojjam Taye, Daniel Mengistu, Dejene Sahlu
This study examines the spatiotemporal variability and trends of rainfall in the central highlands of Abbay Basin using the Integrated Multi-satellite Retrievals for GPM (IMERG-06) dataset. Paramet...
{"title":"Characterizing the variability and trend of rainfall in central highlands of Abbay Basin, Ethiopia: using IMERG-06 dataset","authors":"Mulugojjam Taye, Daniel Mengistu, Dejene Sahlu","doi":"10.1080/22797254.2024.2372856","DOIUrl":"https://doi.org/10.1080/22797254.2024.2372856","url":null,"abstract":"This study examines the spatiotemporal variability and trends of rainfall in the central highlands of Abbay Basin using the Integrated Multi-satellite Retrievals for GPM (IMERG-06) dataset. Paramet...","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":"1 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141613095","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}
Deep learning-based building extraction methods have widespread applications in diverse fields. However, the evaluation of large-scale extraction results remains challenging, due to traditional eva...
{"title":"Enhanced large-scale building extraction evaluation: developing a two-level framework using proxy data and building matching","authors":"Shenglong Chen, Yoshiki Ogawa, Chenbo Zhao, Yoshihide Sekimoto","doi":"10.1080/22797254.2024.2374844","DOIUrl":"https://doi.org/10.1080/22797254.2024.2374844","url":null,"abstract":"Deep learning-based building extraction methods have widespread applications in diverse fields. However, the evaluation of large-scale extraction results remains challenging, due to traditional eva...","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":"36 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141577876","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}
The presence of heterogeneous image disparities often leads to inferior quality in the generated difference images during change detection. This paper proposes a self-supervised change detection of...
{"title":"Self-supervised change detection of heterogeneous images based on difference algorithms","authors":"Jinsha Wu, Shuwen Yang, Yikun Li, Yukai Fu, Zhuang Shi, Yao Zheng","doi":"10.1080/22797254.2024.2372854","DOIUrl":"https://doi.org/10.1080/22797254.2024.2372854","url":null,"abstract":"The presence of heterogeneous image disparities often leads to inferior quality in the generated difference images during change detection. This paper proposes a self-supervised change detection of...","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":"19 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141613096","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}
Pub Date : 2024-06-18DOI: 10.1080/22797254.2024.2367221
Lucian Coţolan, Darie Moldovan
Technological advancements have opened up new possibilities for accurately identifying deforested areas and developing effective data collection strategies. Our paper proposes a practical approach ...
{"title":"Applicability of pre-trained CNNs in temperate deforestation detection","authors":"Lucian Coţolan, Darie Moldovan","doi":"10.1080/22797254.2024.2367221","DOIUrl":"https://doi.org/10.1080/22797254.2024.2367221","url":null,"abstract":"Technological advancements have opened up new possibilities for accurately identifying deforested areas and developing effective data collection strategies. Our paper proposes a practical approach ...","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":"159 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141507096","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}
Pub Date : 2024-05-27DOI: 10.1080/22797254.2024.2353290
Ru Zhao, Chaozhu Zhang, Dan Xue
Aiming the problems that the classification performance of hyperspectral images in existing classification algorithms is highly dependent on spatial-spectral information and that detailed features ...
针对现有分类算法中高光谱图像的分类性能高度依赖于空间光谱信息以及详细特征的问题 ...
{"title":"A multi-scale multi-channel CNN introducing a channel-spatial attention mechanism hyperspectral remote sensing image classification method","authors":"Ru Zhao, Chaozhu Zhang, Dan Xue","doi":"10.1080/22797254.2024.2353290","DOIUrl":"https://doi.org/10.1080/22797254.2024.2353290","url":null,"abstract":"Aiming the problems that the classification performance of hyperspectral images in existing classification algorithms is highly dependent on spatial-spectral information and that detailed features ...","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":"27 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141507147","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}
Pub Date : 2024-05-13DOI: 10.1080/22797254.2024.2350269
Published in European Journal of Remote Sensing (Ahead of Print, 2024)
发表于《欧洲遥感学报》（2024 年提前出版）
{"title":"Retraction","authors":"","doi":"10.1080/22797254.2024.2350269","DOIUrl":"https://doi.org/10.1080/22797254.2024.2350269","url":null,"abstract":"Published in European Journal of Remote Sensing (Ahead of Print, 2024)","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":"53 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141152618","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}
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