Hyperspectral images have been extensively employed to map alterations related to various ore deposits, particularly those associated with porphyry copper deposits. The present study aims to evalua...
{"title":"PRISMA hyperspectral imagery for mapping alteration zones associated with Kuhpanj porphyry copper deposit, Southern Iran","authors":"Maryam Esmaeili, Nader Fathianpour, Saeed Soltani-Mohammadi","doi":"10.1080/22797254.2023.2299369","DOIUrl":"https://doi.org/10.1080/22797254.2023.2299369","url":null,"abstract":"Hyperspectral images have been extensively employed to map alterations related to various ore deposits, particularly those associated with porphyry copper deposits. The present study aims to evalua...","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":"6 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139555498","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 : 2024-01-21DOI: 10.1080/22797254.2023.2300043
Anthéa Delmotte, Daniel Juncu, Xavier Ceamanos, Isabel F. Trigo, Sandra Gomes
ETAL is the operational EPS Ten-Day Albedo product, produced by the EUMETSAT Satellite Application Facility for Land Surface Analysis (LSA SAF). By back-processing the full catalogue of EPS-Metop r...
{"title":"Upgrade and extension of LSA-SAF land surface albedo archive from EPS Metop/AVHRR: description and quality assessment","authors":"Anthéa Delmotte, Daniel Juncu, Xavier Ceamanos, Isabel F. Trigo, Sandra Gomes","doi":"10.1080/22797254.2023.2300043","DOIUrl":"https://doi.org/10.1080/22797254.2023.2300043","url":null,"abstract":"ETAL is the operational EPS Ten-Day Albedo product, produced by the EUMETSAT Satellite Application Facility for Land Surface Analysis (LSA SAF). By back-processing the full catalogue of EPS-Metop r...","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":"9 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2024-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139555492","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 : 2024-01-10DOI: 10.1080/22797254.2023.2300985
Samuel Massart, M. Vreugdenhil, B. Bauer-Marschallinger, C. Navacchi, Bernhard Raml, W. Wagner
{"title":"Mitigating the impact of dense vegetation on the Sentinel-1 surface soil moisture retrievals over Europe","authors":"Samuel Massart, M. Vreugdenhil, B. Bauer-Marschallinger, C. Navacchi, Bernhard Raml, W. Wagner","doi":"10.1080/22797254.2023.2300985","DOIUrl":"https://doi.org/10.1080/22797254.2023.2300985","url":null,"abstract":"","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":"51 12","pages":""},"PeriodicalIF":4.0,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139441245","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 : 2024-01-09DOI: 10.1080/22797254.2023.2301657
D. Dalmonech, E. Vangi, M. Chiesi, G. Chirici, L. Fibbi, F. Giannetti, G. Marano, C. Massari, A. Nolè, J. Xiao, A. Collalti
Process-based Forest Models (PBFMs) offer the possibility to capture important spatial and temporal patterns of carbon fluxes and stocks in forests. Yet, their predictive capacity should be demonst...
{"title":"Regional estimates of gross primary production applying the Process-Based Model 3D-CMCC-FEM vs. Remote-Sensing multiple datasets","authors":"D. Dalmonech, E. Vangi, M. Chiesi, G. Chirici, L. Fibbi, F. Giannetti, G. Marano, C. Massari, A. Nolè, J. Xiao, A. Collalti","doi":"10.1080/22797254.2023.2301657","DOIUrl":"https://doi.org/10.1080/22797254.2023.2301657","url":null,"abstract":"Process-based Forest Models (PBFMs) offer the possibility to capture important spatial and temporal patterns of carbon fluxes and stocks in forests. Yet, their predictive capacity should be demonst...","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":"1 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139408214","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 : 2023-12-22DOI: 10.1080/22797254.2023.2294951
Wei Li, Xueyan Zuo, Zhijun Liu, Leichao Nie, Huazhe Li, Junjie Wang, Zhiguo Dou, Yang Cai, Xiajie Zhai, Lijuan Cui
Investigating the functional traits of Spartina alterniflora can provide insights towards understanding its invasion mechanism, and developing a method leaves can improve its management in coastal ...
研究互花叶斯巴达的功能特征有助于了解其入侵机制，并开发一种方法来改善其在沿海地区的管理。
{"title":"Predictions of Spartina alterniflora leaf functional traits based on hyperspectral data and machine learning models","authors":"Wei Li, Xueyan Zuo, Zhijun Liu, Leichao Nie, Huazhe Li, Junjie Wang, Zhiguo Dou, Yang Cai, Xiajie Zhai, Lijuan Cui","doi":"10.1080/22797254.2023.2294951","DOIUrl":"https://doi.org/10.1080/22797254.2023.2294951","url":null,"abstract":"Investigating the functional traits of Spartina alterniflora can provide insights towards understanding its invasion mechanism, and developing a method leaves can improve its management in coastal ...","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":"25 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139062935","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 : 2023-12-22DOI: 10.1080/22797254.2023.2294121
Shovkat Khodjaev, L. Kuhn, I. Bobojonov, T. Glauben
{"title":"Combining multiple UAV-Based indicators for wheat yield estimation, a case study from Germany","authors":"Shovkat Khodjaev, L. Kuhn, I. Bobojonov, T. Glauben","doi":"10.1080/22797254.2023.2294121","DOIUrl":"https://doi.org/10.1080/22797254.2023.2294121","url":null,"abstract":"","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":"1 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138944627","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 : 2023-12-22DOI: 10.1080/22797254.2023.2294127
Jiří Šandera, P. Štych
{"title":"Mapping changes of grassland to arable land using automatic machine learning of stacked ensembles and H2O library","authors":"Jiří Šandera, P. Štych","doi":"10.1080/22797254.2023.2294127","DOIUrl":"https://doi.org/10.1080/22797254.2023.2294127","url":null,"abstract":"","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":"48 25","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138946549","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 : 2023-12-18DOI: 10.1080/22797254.2023.2292154
Eva Neuwirthová, Zuzana Lhotáková, Lucie Červená, Petr Lukeš, Petya Campbell, Jana Albrechtová
Leaf traits can be used to elucidate vegetation functional responses to global climate change. Pigments, water and leaf mass per area are the most used traits. However, detailed anatomical traits s...
{"title":"Asymmetry of leaf internal structure affects PLSR modelling of anatomical traits using VIS-NIR leaf level spectra","authors":"Eva Neuwirthová, Zuzana Lhotáková, Lucie Červená, Petr Lukeš, Petya Campbell, Jana Albrechtová","doi":"10.1080/22797254.2023.2292154","DOIUrl":"https://doi.org/10.1080/22797254.2023.2292154","url":null,"abstract":"Leaf traits can be used to elucidate vegetation functional responses to global climate change. Pigments, water and leaf mass per area are the most used traits. However, detailed anatomical traits s...","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":"13 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138740918","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 : 2023-12-18DOI: 10.1080/22797254.2023.2262738
G. Pagliarini, G. Sciavicco
ABSTRACT Land cover classification (LCC) refers to the task of classifying each pixel in satellite/aerial imagery by predicting a label carrying information about its nature. Despite the importance of having transparent, symbolic decision models, in the recent literature, LCC has been mainly approached with black-box functional models, that are able to leverage the spatial dimensions within the data. In this article, we argue that standard symbolic decision models can be extended to perform a form of spatial reasoning that is adequate for LCC. We propose a generalization of a classical decision tree learning model, based on replacing propositional logic with a modal spatial logic, and provide a CART-like learning algorithm for it. We evaluate its performance at five different LCC tasks, showing that this technique leads to classification models whose performances are superior to those of their propositional counterpart, and at least comparable with those of non-symbolic ones. Ultimately, we show that spatial decision trees and random forests are able to extract complex, but interpretable spatial patterns.
{"title":"Interpretable land cover classification with modal decision trees","authors":"G. Pagliarini, G. Sciavicco","doi":"10.1080/22797254.2023.2262738","DOIUrl":"https://doi.org/10.1080/22797254.2023.2262738","url":null,"abstract":"ABSTRACT Land cover classification (LCC) refers to the task of classifying each pixel in satellite/aerial imagery by predicting a label carrying information about its nature. Despite the importance of having transparent, symbolic decision models, in the recent literature, LCC has been mainly approached with black-box functional models, that are able to leverage the spatial dimensions within the data. In this article, we argue that standard symbolic decision models can be extended to perform a form of spatial reasoning that is adequate for LCC. We propose a generalization of a classical decision tree learning model, based on replacing propositional logic with a modal spatial logic, and provide a CART-like learning algorithm for it. We evaluate its performance at five different LCC tasks, showing that this technique leads to classification models whose performances are superior to those of their propositional counterpart, and at least comparable with those of non-symbolic ones. Ultimately, we show that spatial decision trees and random forests are able to extract complex, but interpretable spatial patterns.","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":"156 ","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139176058","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 : 2023-12-13DOI: 10.1080/22797254.2023.2293163
Xueyan Dong, Jiannong Cao, Weiheng Zhao
Buildings are one of the most important habitats for humans, and therefore, accurate identification and extraction of building information in remote sensing images are crucial. Buildings in remote ...
建筑物是人类最重要的栖息地之一，因此，准确识别和提取遥感图像中的建筑物信息至关重要。建筑在遥远的…
{"title":"A review of research on remote sensing images shadow detection and application to building extraction","authors":"Xueyan Dong, Jiannong Cao, Weiheng Zhao","doi":"10.1080/22797254.2023.2293163","DOIUrl":"https://doi.org/10.1080/22797254.2023.2293163","url":null,"abstract":"Buildings are one of the most important habitats for humans, and therefore, accurate identification and extraction of building information in remote sensing images are crucial. Buildings in remote ...","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":"33 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138630343","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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