Text Mining in Remotely Sensed Phenology Studies: A Review on Research Development, Main Topics, and Emerging Issues
As an interdisciplinary field of research, phenology is developing rapidly, and the contents of phenological research have become increasingly abundant. In addition, the potentiality of remote sensing technologies has largely contributed to the growth and complexity of this discipline, in terms of t...
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Online Access: | https://doi.org/10.3390/rs11232751 https://doaj.org/article/95a77f365e7a4d10a5305ec79a2e7735 |
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ftdoajarticles:oai:doaj.org/article:95a77f365e7a4d10a5305ec79a2e7735 2023-05-15T15:15:39+02:00 Text Mining in Remotely Sensed Phenology Studies: A Review on Research Development, Main Topics, and Emerging Issues Sofia Bajocco Elisabetta Raparelli Tommaso Teofili Marco Bascietto Carlo Ricotta 2019-11-01T00:00:00Z https://doi.org/10.3390/rs11232751 https://doaj.org/article/95a77f365e7a4d10a5305ec79a2e7735 EN eng MDPI AG https://www.mdpi.com/2072-4292/11/23/2751 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs11232751 https://doaj.org/article/95a77f365e7a4d10a5305ec79a2e7735 Remote Sensing, Vol 11, Iss 23, p 2751 (2019) bibliometric analysis land surface phenology network analysis research topic scientific mapping Science Q article 2019 ftdoajarticles https://doi.org/10.3390/rs11232751 2022-12-31T15:17:15Z As an interdisciplinary field of research, phenology is developing rapidly, and the contents of phenological research have become increasingly abundant. In addition, the potentiality of remote sensing technologies has largely contributed to the growth and complexity of this discipline, in terms of the scale of analysis, techniques of data processing, and a variety of topics. As a consequence, it is increasingly difficult for scientists to get a clear picture of remotely sensed phenology (rs+pheno) research. Bibliometric analysis is increasingly used for the study of a discipline and its conceptual dynamics. This review analyzed the last 40 years (1979−2018) of publications in the rs+pheno field retrieved from the Scopus database; such publications were investigated by means of a text mining approach, both in terms of bibliographic and text data. Results demonstrated that rs+pheno research is exponentially growing through time; however, it is primarily considered a subset of remote sensing science rather than a branch of phenology. In this framework, in the last decade, agriculture is becoming more and more a standalone science in rs+pheno research, independently from other related topics, e.g., classification. On the contrary, forestry struggles to gain its thematic role in rs+pheno studies and remains strictly connected with climate change issues. Classification and mapping represent the major rs+pheno topic, together with the extraction and the analysis of phenological metrics, like the start of the growing season. To the contrary, forest ecophysiology, in terms of ecosystem respiration and net ecosystem exchange, results as the most relevant new topic, together with the use of the red edge band and SAR (Synthetic Aperture Radar) data in rs+pheno agricultural studies. Some niche emerging rs+pheno topics may be recognized in the ocean and arctic investigations linked to phytoplankton blooming and ice cover dynamics. The findings of this study might be applicable for planning and managing remotely sensed ... Article in Journal/Newspaper Arctic Climate change Phytoplankton Directory of Open Access Journals: DOAJ Articles Arctic Remote Sensing 11 23 2751 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
bibliometric analysis land surface phenology network analysis research topic scientific mapping Science Q |
spellingShingle |
bibliometric analysis land surface phenology network analysis research topic scientific mapping Science Q Sofia Bajocco Elisabetta Raparelli Tommaso Teofili Marco Bascietto Carlo Ricotta Text Mining in Remotely Sensed Phenology Studies: A Review on Research Development, Main Topics, and Emerging Issues |
topic_facet |
bibliometric analysis land surface phenology network analysis research topic scientific mapping Science Q |
description |
As an interdisciplinary field of research, phenology is developing rapidly, and the contents of phenological research have become increasingly abundant. In addition, the potentiality of remote sensing technologies has largely contributed to the growth and complexity of this discipline, in terms of the scale of analysis, techniques of data processing, and a variety of topics. As a consequence, it is increasingly difficult for scientists to get a clear picture of remotely sensed phenology (rs+pheno) research. Bibliometric analysis is increasingly used for the study of a discipline and its conceptual dynamics. This review analyzed the last 40 years (1979−2018) of publications in the rs+pheno field retrieved from the Scopus database; such publications were investigated by means of a text mining approach, both in terms of bibliographic and text data. Results demonstrated that rs+pheno research is exponentially growing through time; however, it is primarily considered a subset of remote sensing science rather than a branch of phenology. In this framework, in the last decade, agriculture is becoming more and more a standalone science in rs+pheno research, independently from other related topics, e.g., classification. On the contrary, forestry struggles to gain its thematic role in rs+pheno studies and remains strictly connected with climate change issues. Classification and mapping represent the major rs+pheno topic, together with the extraction and the analysis of phenological metrics, like the start of the growing season. To the contrary, forest ecophysiology, in terms of ecosystem respiration and net ecosystem exchange, results as the most relevant new topic, together with the use of the red edge band and SAR (Synthetic Aperture Radar) data in rs+pheno agricultural studies. Some niche emerging rs+pheno topics may be recognized in the ocean and arctic investigations linked to phytoplankton blooming and ice cover dynamics. The findings of this study might be applicable for planning and managing remotely sensed ... |
format |
Article in Journal/Newspaper |
author |
Sofia Bajocco Elisabetta Raparelli Tommaso Teofili Marco Bascietto Carlo Ricotta |
author_facet |
Sofia Bajocco Elisabetta Raparelli Tommaso Teofili Marco Bascietto Carlo Ricotta |
author_sort |
Sofia Bajocco |
title |
Text Mining in Remotely Sensed Phenology Studies: A Review on Research Development, Main Topics, and Emerging Issues |
title_short |
Text Mining in Remotely Sensed Phenology Studies: A Review on Research Development, Main Topics, and Emerging Issues |
title_full |
Text Mining in Remotely Sensed Phenology Studies: A Review on Research Development, Main Topics, and Emerging Issues |
title_fullStr |
Text Mining in Remotely Sensed Phenology Studies: A Review on Research Development, Main Topics, and Emerging Issues |
title_full_unstemmed |
Text Mining in Remotely Sensed Phenology Studies: A Review on Research Development, Main Topics, and Emerging Issues |
title_sort |
text mining in remotely sensed phenology studies: a review on research development, main topics, and emerging issues |
publisher |
MDPI AG |
publishDate |
2019 |
url |
https://doi.org/10.3390/rs11232751 https://doaj.org/article/95a77f365e7a4d10a5305ec79a2e7735 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Climate change Phytoplankton |
genre_facet |
Arctic Climate change Phytoplankton |
op_source |
Remote Sensing, Vol 11, Iss 23, p 2751 (2019) |
op_relation |
https://www.mdpi.com/2072-4292/11/23/2751 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs11232751 https://doaj.org/article/95a77f365e7a4d10a5305ec79a2e7735 |
op_doi |
https://doi.org/10.3390/rs11232751 |
container_title |
Remote Sensing |
container_volume |
11 |
container_issue |
23 |
container_start_page |
2751 |
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1766346012224389120 |