DOI: 10.3390/ijerph17030707
论文题名: Coincidence analysis of the cropland distribution of multi‐sets of global land cover products
作者: Zhang C. ; Ye Y. ; Fang X. ; Li H. ; Zheng X.
刊名: International Journal of Environmental Research and Public Health
ISSN: 16617827
出版年: 2020
卷: 17, 期: 3 语种: 英语
英文关键词: Coincidence
; Cropland cover
; Global
; Multi-products
; Overlay
; Uncertainty
Scopus关键词: agricultural land
; data quality
; data set
; global change
; land reclamation
; land use change
; spatial distribution
; uncertainty analysis
; Africa
; article
; cropland
; Europe
; North America
; quantitative analysis
; South and Central America
; South Asia
; uncertainty
英文摘要: Modern global cropland products have been widely used to assess the impact of land use and cover change (LUCC) on carbon budgets, climate change, terrestrial ecosystems, etc. However, each product has its own uncertainty, and inconsistencies exist among different products. Understanding the reliability of these datasets is essential for knowing the uncertainties that exist in the study of global change impact forced by cropland reclamation. In this paper, we propose a set of coincidence assessments to identify where reliable cropland distribution is by overlaying ten widely used global land cover/cropland datasets around 2000 AD. A quantitative assessment for different spatial units is also performed. We further discuss the spatial distribution characteristics of different coincidence degrees and explain the reasons. The results show that the high‐coincidence proportion is only 40.5% around the world, and the moderate‐coincidence and low‐coincidence proportion is 18.4% and 41.1%, respectively. The coincidence degrees among different continents and countries have large discrepancies. The coincidence is relatively higher in Europe, South Asia and North America, while it is very poor in Latin America and Africa. The spatial distribution of high and moderate coincidence roughly corresponds to the regions with suitable agricultural conditions and intensive reclamation. In addition to the random factors such as the product’s quality and the year it represented, the low coincidence is mainly caused by the inconsistent land cover classification systems and the recognition capability of cropland pixels with low fractions in different products. © 2020 by the authors. Licensee MDPI, Basel, Switzerland. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159409
Appears in Collections: 气候变化与战略
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作者单位: Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China; Key Laboratory of Environment Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing, 100875, China
Recommended Citation:
Zhang C.,Ye Y.,Fang X.,et al. Coincidence analysis of the cropland distribution of multi‐sets of global land cover products[J]. International Journal of Environmental Research and Public Health,2020-01-01,17(3)