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DOI	10.1016/j.ecolind.2024.111962
	Analysis of trends in productivity metrics in assessing land degradation: A case study in the Campania region of southern Italy
	Di Leginio, Marco; Agrillo, Antonietta; Congedo, Luca; Munafo, Michele; Riitano, Nicola; Terribile, Fabio; Manna, Piero
通讯作者	Manna, P
来源期刊	ECOLOGICAL INDICATORS
ISSN	1470-160X
EISSN	1872-7034
出版年	2024
卷号	161
英文摘要	Land degradation is a critical issue at a global level and its progressive increasing greatly reduces soil ecosystem services. In this context, the 2030 Agenda for Sustainable Development, adopted by all United Nations Member States in 2015, defined the Sustainable Development Goals (SDGs) and indicated some targets of particular interest for a territory to be integrated into short- and medium-term national programs. Target 15.3, which aims to end desertification and restore degraded lands, is currently monitored by indicator 15.3.1, measured as the combination of three sub-indicators (trends in land cover change, land productivity and carbon stocks) as suggested by the United Nations Convention to Combat Desertification (UNCCD), the custodian agency for the SDG indicator. In our opinion, this assessment shows some weakness that are generally caused by a lack of information from direct field observations. The greatest limitation regards land productivity dynamics linked to the NDVI trajectory adopted by the UNCCD methodological approach. For this reason, the paper proposes an alternative approach that consists of using annual maximum NDVI value assessments instead of annual mean values for trajectory calculation. To come to these conclusions, the study addresses a reliability assessment by using remote sensing techniques via the Google Earth Engine (GEE) and analysing the NDVI evolution over time at 450 locations spread around the Campania region (southern Italy). To this end, a customised Graphical User Interface (GUI) was built on the GEE platform and a Google Earth time slider tool was applied to visualize land cover changes which occurred at each location over a period of 18 years (2001-2018). The survey was carried out on MODIS and Landsat 7 collections and showed that the new approach had a better performance than the UNCCD approach (90 % vs 62 % of successful reliability tests, up to 96 % considering results from Landsat images). The application of maximum NDVI values to assess productivity dynamics spatially shows, with regard to UNCCD data, more than double the percentages of degraded and stable lands and a drastic reduction in improved areas within the Campania region. Overall, this innovative approach appears to agree more closely with ground truth and the use of finer resolution data is more suitable for investigating land degradation processes within a regional context.
英文关键词	Land degradation SDG indicator Productivity index NDVI Google Earth Engine MODIS/Landsat
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001224765000001
WOS关键词	BIG DATA APPLICATIONS ; GOOGLE EARTH ENGINE
WOS类目	Biodiversity Conservation ; Environmental Sciences
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/403396
推荐引用方式 GB/T 7714	Di Leginio, Marco,Agrillo, Antonietta,Congedo, Luca,et al. Analysis of trends in productivity metrics in assessing land degradation: A case study in the Campania region of southern Italy[J],2024,161.
APA	Di Leginio, Marco.,Agrillo, Antonietta.,Congedo, Luca.,Munafo, Michele.,Riitano, Nicola.,...&Manna, Piero.(2024).Analysis of trends in productivity metrics in assessing land degradation: A case study in the Campania region of southern Italy.ECOLOGICAL INDICATORS,161.
MLA	Di Leginio, Marco,et al."Analysis of trends in productivity metrics in assessing land degradation: A case study in the Campania region of southern Italy".ECOLOGICAL INDICATORS 161(2024).