干旱区生态环境知识资源中心(Arid): Remote sensing techniques for water management and climate change monitoring in drought areas: case studies in Egypt and Tunisia

Arid

DOI	10.1080/22797254.2022.2157335
	Remote sensing techniques for water management and climate change monitoring in drought areas: case studies in Egypt and Tunisia
	Ramat, Giuliano; Santi, Emanuele; Paloscia, Simonetta; Fontanelli, Giacomo; Pettinato, Simone; Santurri, Leonardo; Souissi, Najet; Da Ponte, Emmanuel; Wahab, M. M. Abdel; Khalil, A. A.; Essa, Y. H.; Ouessar, Mohamed; Dhaou, Hanen; Sghaier, Abderrahman; Hachani, Amal; Kassouk, Zeineb; Chabaane, Zohra Lili
通讯作者	Ramat, G
来源期刊	EUROPEAN JOURNAL OF REMOTE SENSING
EISSN	2279-7254
出版年	2023
卷号	56 期号:1 页码:77-99
英文摘要	This study focused on monitoring the water status of vegetation and soil by exploiting the synergy of optical and microwave satellite data with the aim of improving the knowledge of water cycle in cultivated lands in Egyptian Delta and Tunisian areas. Environmental analysis approaches based on optical and synthetic aperture radar data were carried out to set up the basis for future implementation of practical and cost-effective methods for sustainable water use in agriculture. Long-term behaviors of vegetation indices were thus analyzed between 2000 and 2018. By using SAR data from Sentinel-1, an Artificial Neural Network-based algorithm was implemented for estimating soil moisture and monthly maps for 2018 have been generated to be compared with information derived from optical indices. Moreover, a novel drought severity index was developed and applied to available data. The index was obtained by combining vegetation soil difference index, derived from optical data, and soil moisture content derived from SAR data. The proposed index was found capable of complementing optical and microwave sensitivity to drought-related parameters, although ground data are missing for correctly validating the results, by capturing drought patterns and their temporal evolution better than indices based only on microwave or optical data..
英文关键词	Microwave remote sensing SAR images water management Artificial Neural Network (ANN) soil moisture estimate Mediterranean basin semi-arid regions
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:000908103000001
WOS关键词	SOIL-MOISTURE RETRIEVAL ; NEURAL-NETWORKS ; SAR DATA ; REGION ; MODIS ; ALGORITHM ; INDEX
WOS类目	Remote Sensing
WOS研究方向	Remote Sensing
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/396330
推荐引用方式 GB/T 7714	Ramat, Giuliano,Santi, Emanuele,Paloscia, Simonetta,et al. Remote sensing techniques for water management and climate change monitoring in drought areas: case studies in Egypt and Tunisia[J],2023,56(1):77-99.
APA	Ramat, Giuliano.,Santi, Emanuele.,Paloscia, Simonetta.,Fontanelli, Giacomo.,Pettinato, Simone.,...&Chabaane, Zohra Lili.(2023).Remote sensing techniques for water management and climate change monitoring in drought areas: case studies in Egypt and Tunisia.EUROPEAN JOURNAL OF REMOTE SENSING,56(1),77-99.
MLA	Ramat, Giuliano,et al."Remote sensing techniques for water management and climate change monitoring in drought areas: case studies in Egypt and Tunisia".EUROPEAN JOURNAL OF REMOTE SENSING 56.1(2023):77-99.