干旱区生态环境知识资源中心(Arid): Insights on the historical and emerging global land cover changes: The case of ESA-CCI-LC datasets

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DOI	10.1016/j.apgeog.2019.03.010
	Insights on the historical and emerging global land cover changes: The case of ESA-CCI-LC datasets
	Mousivand, Alijafar; Arsanjani, Jamal Jokar
通讯作者	Mousivand, A (corresponding author), Tarbiat Modares Univ, Remote Sensing & GIS Dept, POB 14115-111, Tehran, Iran.
来源期刊	APPLIED GEOGRAPHY
ISSN	0143-6228
EISSN	1873-7730
出版年	2019
卷号	106 页码:82-92
英文摘要	Global land cover (LC) mapping has been the main source of monitoring our global landscapes for a wide range of applications e.g., food production estimation, urbanization, deforestation, climate change studies, air/soil/water pollution, and CO2 emission. Several initiatives and organizations have attempted to generate global LC maps using remote sensing data and in-situ data. Noteworthy examples include IGBP-DISCover, GlobeCover 2009, FAO, GLC 2000, MODIS, GlobeLand30. While researchers including climate change scientists require fine LC maps in terms of spatial resolution and temporal coverage for continuous monitoring of the planet, these datasets lack of fulfilling this goal. Understanding the trend of LC changes as well as the direction of future changes at global level is of vital importance to a broad spectrum of stakeholders, and essential for addressing the sustainable development goals worldwide. European Space Agency has recently released its climate change initiatives LC dataset called CCI-LC, which aims at achieving this ambition with 300 m spatial resolution and 24-year continuous temporal coverage within 1992-2015. The main objective of this study is to quantify the global land changes within this timeframe and also to predict the future land change by 2050 in order to gain a global picture of our future planet. This is a timely objective since more than ever scientists, environmentalist, and governors require to know how our future will look like and how they can achieve the goals of the United Nations Framework Convention on Climate Change (UNFCCC) i.e., the Paris Agreement. The achieved results reveal massive land changes of different kinds e.g., deforestation, urbanization, desertification, forestry, water and ice shrinkage across different continents. The employed predictive modelling for year 2030 and 2050 messages dramatic changes among different LC types. Our discussions and conclusive comments can guide policy-makers, environmental planners, ecosystem services providers and climate change researchers to gain finer insights about our planet by 2050. Future research direction draws attention for investigating the underlying causes and consequences on our ecosystems and human population.
英文关键词	ESA-CCI Historical land change Global land cover Climate change Predictive analytics
类型	Article
语种	英语
收录类别	SSCI
WOS记录号	WOS:000466827700008
WOS关键词	CELLULAR-AUTOMATA ; URBAN-GROWTH ; SIMULATION ; PATTERNS ; DESERTIFICATION ; PREDICTION ; DYNAMICS ; AREAS ; GROSS ; MAPS
WOS类目	Geography
WOS研究方向	Geography
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/369349
作者单位	[Mousivand, Alijafar] Tarbiat Modares Univ, Remote Sensing & GIS Dept, POB 14115-111, Tehran, Iran; [Arsanjani, Jamal Jokar] Aalborg Univ, Dept Planning, Geoinformat Res Grp, AC Meyers Vaenge 15, DK-2450 Copenhagen, Denmark
推荐引用方式 GB/T 7714	Mousivand, Alijafar,Arsanjani, Jamal Jokar. Insights on the historical and emerging global land cover changes: The case of ESA-CCI-LC datasets[J],2019,106:82-92.
APA	Mousivand, Alijafar,&Arsanjani, Jamal Jokar.(2019).Insights on the historical and emerging global land cover changes: The case of ESA-CCI-LC datasets.APPLIED GEOGRAPHY,106,82-92.
MLA	Mousivand, Alijafar,et al."Insights on the historical and emerging global land cover changes: The case of ESA-CCI-LC datasets".APPLIED GEOGRAPHY 106(2019):82-92.