气候变化领域集成服务门户(CCPortal): Monitoring of long term land degradation trends based of Landsat observations - The case of land productivity trends in Souss-Massa Region

CCPortal

DOI	10.1109/Morgeo49228.2020.9121870
	Monitoring of long term land degradation trends based of Landsat observations - The case of land productivity trends in Souss-Massa Region
	Moussa S.; Omar B.A.; Hassan E.B.E.
发表日期	2020
英文摘要	Currently, land degradation is recognized as a major development challenge, it refers to productivity declining or loosing and to the biological or economic value of the land, it can be the result of land use or management practices. Monitoring land degradation indicators is crucial to combat desertification and restore degraded land and soil in order to achieve land degradation neutrality targets within the Sustainable Development Goals agenda. The United Nations Convention to Combat Desertification (UNCCD) has adopted three sub-indicators for monitoring and assessing land degradation (Trends in Land Cover, Land Productivity and Carbon Stocks), these three indicators are used to estimate the proportion of land that is degraded over the total land area, which is also Sustainable Development Goal (SDG) indicator 15.3.1. Remote sensing is an essential tool for monitoring map changes in soil properties and condition. In this study, we focus on one of the sub-indicators, namely the land productivity trends, which we try to identify by presenting a new approach based on three main parameters; trend, state and performance at the pixel level (30 m), using Google Earth Engine (GEE), as well as the area of our study is the Souss-Massa Region, Morocco. The use of the aggregation of time series of Normalized Difference Vegetation Index (NDVI) observations for 15 years (2001-2015), derived from Landsat satellite imagery and combined with the auxiliary information for validation. © 2020 IEEE.
英文关键词	Google Earth Engine; Land degradation; Land Productivity; Landsat; NDVI; Sustainable Development Goals (SDGs)
scopus关键词	Climatology; Land use; Planning; Remote sensing; Satellite imagery; Surveying; Sustainable development; Auxiliary information; Economic values; Land degradation; Land productivities; Landsat satellite; Main parameters; Management practices; Normalized difference vegetation index; Productivity
来源期刊	Proceedings - 2020 IEEE International Conference of Moroccan Geomatics, MORGEO 2020
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/176650
作者单位	Hassania School of Public Works, LaGeS Laboratory, Geomatics Science Research team'Sgeo', Casablanca, Morocco
推荐引用方式 GB/T 7714	Moussa S.,Omar B.A.,Hassan E.B.E.. Monitoring of long term land degradation trends based of Landsat observations - The case of land productivity trends in Souss-Massa Region[J],2020.
APA	Moussa S.,Omar B.A.,&Hassan E.B.E..(2020).Monitoring of long term land degradation trends based of Landsat observations - The case of land productivity trends in Souss-Massa Region.Proceedings - 2020 IEEE International Conference of Moroccan Geomatics, MORGEO 2020.
MLA	Moussa S.,et al."Monitoring of long term land degradation trends based of Landsat observations - The case of land productivity trends in Souss-Massa Region".Proceedings - 2020 IEEE International Conference of Moroccan Geomatics, MORGEO 2020 (2020).