Cargando…
Remote Sensing Monitoring and Assessment of Global Vegetation Status and Changes during 2016–2020
Vegetation plays a fundamental role within terrestrial ecosystems, serving as a cornerstone of their functionality. Presently, these crucial ecosystems face a myriad of threats, including deforestation, overgrazing, wildfires, and the impact of climate change. The implementation of remote sensing fo...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611270/ https://www.ncbi.nlm.nih.gov/pubmed/37896545 http://dx.doi.org/10.3390/s23208452 |
_version_ | 1785128452062445568 |
---|---|
author | Li, Li Xin, Xiaozhou Zhao, Jing Yang, Aixia Wu, Shanlong Zhang, Hailong Yu, Shanshan |
author_facet | Li, Li Xin, Xiaozhou Zhao, Jing Yang, Aixia Wu, Shanlong Zhang, Hailong Yu, Shanshan |
author_sort | Li, Li |
collection | PubMed |
description | Vegetation plays a fundamental role within terrestrial ecosystems, serving as a cornerstone of their functionality. Presently, these crucial ecosystems face a myriad of threats, including deforestation, overgrazing, wildfires, and the impact of climate change. The implementation of remote sensing for monitoring the status and dynamics of vegetation ecosystems has emerged as an indispensable tool for advancing ecological research and effective resource management. This study takes a comprehensive approach by integrating ecosystem monitoring indicators and aligning them with the objectives of SDG15. We conducted a thorough analysis by leveraging global 500 m resolution products for vegetation Leaf Area Index (LAI) and land cover classification spanning the period from 2016 to 2020. This encompassed the calculation of annual average LAI, identification of anomalies, and evaluation of change rates, thereby enabling a comprehensive assessment of the global status and transformations occurring within major vegetation ecosystems. In 2020, a discernible rise in the annual Average LAI of major vegetation ecosystems on a global scale became evident when compared to data from 2016. Notably, the ecosystems demonstrating a slight increase in area constituted the largest proportion (34.23%), while those exhibiting a significant decrease were the least prevalent (6.09%). Within various regions, such as Eastern Europe, Central Africa, and South Asia, substantial increases in both forest ecosystem area and annual Average LAI were observed. Furthermore, Eastern Europe and Central America recorded significant expansions in both grassland ecosystem area and annual average LAI. Similarly, regions experiencing notable growth in both cropland ecosystem areas and annual average LAI encompassed Southern Africa, Northern Europe, and Eastern Africa. |
format | Online Article Text |
id | pubmed-10611270 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106112702023-10-28 Remote Sensing Monitoring and Assessment of Global Vegetation Status and Changes during 2016–2020 Li, Li Xin, Xiaozhou Zhao, Jing Yang, Aixia Wu, Shanlong Zhang, Hailong Yu, Shanshan Sensors (Basel) Article Vegetation plays a fundamental role within terrestrial ecosystems, serving as a cornerstone of their functionality. Presently, these crucial ecosystems face a myriad of threats, including deforestation, overgrazing, wildfires, and the impact of climate change. The implementation of remote sensing for monitoring the status and dynamics of vegetation ecosystems has emerged as an indispensable tool for advancing ecological research and effective resource management. This study takes a comprehensive approach by integrating ecosystem monitoring indicators and aligning them with the objectives of SDG15. We conducted a thorough analysis by leveraging global 500 m resolution products for vegetation Leaf Area Index (LAI) and land cover classification spanning the period from 2016 to 2020. This encompassed the calculation of annual average LAI, identification of anomalies, and evaluation of change rates, thereby enabling a comprehensive assessment of the global status and transformations occurring within major vegetation ecosystems. In 2020, a discernible rise in the annual Average LAI of major vegetation ecosystems on a global scale became evident when compared to data from 2016. Notably, the ecosystems demonstrating a slight increase in area constituted the largest proportion (34.23%), while those exhibiting a significant decrease were the least prevalent (6.09%). Within various regions, such as Eastern Europe, Central Africa, and South Asia, substantial increases in both forest ecosystem area and annual Average LAI were observed. Furthermore, Eastern Europe and Central America recorded significant expansions in both grassland ecosystem area and annual average LAI. Similarly, regions experiencing notable growth in both cropland ecosystem areas and annual average LAI encompassed Southern Africa, Northern Europe, and Eastern Africa. MDPI 2023-10-13 /pmc/articles/PMC10611270/ /pubmed/37896545 http://dx.doi.org/10.3390/s23208452 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Li Xin, Xiaozhou Zhao, Jing Yang, Aixia Wu, Shanlong Zhang, Hailong Yu, Shanshan Remote Sensing Monitoring and Assessment of Global Vegetation Status and Changes during 2016–2020 |
title | Remote Sensing Monitoring and Assessment of Global Vegetation Status and Changes during 2016–2020 |
title_full | Remote Sensing Monitoring and Assessment of Global Vegetation Status and Changes during 2016–2020 |
title_fullStr | Remote Sensing Monitoring and Assessment of Global Vegetation Status and Changes during 2016–2020 |
title_full_unstemmed | Remote Sensing Monitoring and Assessment of Global Vegetation Status and Changes during 2016–2020 |
title_short | Remote Sensing Monitoring and Assessment of Global Vegetation Status and Changes during 2016–2020 |
title_sort | remote sensing monitoring and assessment of global vegetation status and changes during 2016–2020 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611270/ https://www.ncbi.nlm.nih.gov/pubmed/37896545 http://dx.doi.org/10.3390/s23208452 |
work_keys_str_mv | AT lili remotesensingmonitoringandassessmentofglobalvegetationstatusandchangesduring20162020 AT xinxiaozhou remotesensingmonitoringandassessmentofglobalvegetationstatusandchangesduring20162020 AT zhaojing remotesensingmonitoringandassessmentofglobalvegetationstatusandchangesduring20162020 AT yangaixia remotesensingmonitoringandassessmentofglobalvegetationstatusandchangesduring20162020 AT wushanlong remotesensingmonitoringandassessmentofglobalvegetationstatusandchangesduring20162020 AT zhanghailong remotesensingmonitoringandassessmentofglobalvegetationstatusandchangesduring20162020 AT yushanshan remotesensingmonitoringandassessmentofglobalvegetationstatusandchangesduring20162020 |