Remote sensing techniques for water management and climate change monitoring in drought areas: case studies in Egypt and Tunisia
ABSTRACTThis 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...
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2023-12-01
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| Series: | European Journal of Remote Sensing |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/22797254.2022.2157335 |
| _version_ | 1797823561822371840 |
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| author | Giuliano Ramat Emanuele Santi Simonetta Paloscia Giacomo Fontanelli Simone Pettinato Leonardo Santurri Najet Souissi Emmanuel Da Ponte Mohamed M. Abdel Wahab Alaa A. Khalil Yassmin H. Essa Mohamed Ouessar Hanen Dhaou Abderrahman Sghaier Amal Hachani Zeineb Kassouk Zohra Lili Chabaane |
| author_facet | Giuliano Ramat Emanuele Santi Simonetta Paloscia Giacomo Fontanelli Simone Pettinato Leonardo Santurri Najet Souissi Emmanuel Da Ponte Mohamed M. Abdel Wahab Alaa A. Khalil Yassmin H. Essa Mohamed Ouessar Hanen Dhaou Abderrahman Sghaier Amal Hachani Zeineb Kassouk Zohra Lili Chabaane |
| author_sort | Giuliano Ramat |
| collection | DOAJ |
| description | ABSTRACTThis 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.. |
| first_indexed | 2024-03-13T10:24:48Z |
| format | Article |
| id | doaj.art-65c0d5bf7d974291b951c28b79f3fd2d |
| institution | Directory Open Access Journal |
| issn | 2279-7254 |
| language | English |
| last_indexed | 2024-03-13T10:24:48Z |
| publishDate | 2023-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | European Journal of Remote Sensing |
| spelling | doaj.art-65c0d5bf7d974291b951c28b79f3fd2d2023-05-19T14:11:01ZengTaylor & Francis GroupEuropean Journal of Remote Sensing2279-72542023-12-0156110.1080/22797254.2022.2157335Remote sensing techniques for water management and climate change monitoring in drought areas: case studies in Egypt and TunisiaGiuliano Ramat0Emanuele Santi1Simonetta Paloscia2Giacomo Fontanelli3Simone Pettinato4Leonardo Santurri5Najet Souissi6Emmanuel Da Ponte7Mohamed M. Abdel Wahab8Alaa A. Khalil9Yassmin H. Essa10Mohamed Ouessar11Hanen Dhaou12Abderrahman Sghaier13Amal Hachani14Zeineb Kassouk15Zohra Lili Chabaane16CNR-IFAC, Institute of Applied Physics–National Research Council of Italy, Florence, ItalyCNR-IFAC, Institute of Applied Physics–National Research Council of Italy, Florence, ItalyCNR-IFAC, Institute of Applied Physics–National Research Council of Italy, Florence, ItalyCNR-IFAC, Institute of Applied Physics–National Research Council of Italy, Florence, ItalyCNR-IFAC, Institute of Applied Physics–National Research Council of Italy, Florence, ItalyCNR-IFAC, Institute of Applied Physics–National Research Council of Italy, Florence, ItalyCNR-IFAC, Institute of Applied Physics–National Research Council of Italy, Florence, ItalyGerman Aerospace Center - German Remote Sensing Data Center DLR-DFD,Weßling, GermanyFaculty of Science, Cairo University, Giza, EgyptCentral Lab. for Agricultural Climate- CLAC-ARC,Giza, EgyptCentral Lab. for Agricultural Climate- CLAC-ARC,Giza, EgyptArid Regions Institute, IRA, Medenine, TunisiaArid Regions Institute, IRA, Medenine, TunisiaArid Regions Institute, IRA, Medenine, TunisiaArid Regions Institute, IRA, Medenine, TunisiaGREEN TEAM, Institut National Agronomique de Tunisie, UCAR/INAT/LR17AGR01 (GREEN-TEAM), TunisiaGREEN TEAM, Institut National Agronomique de Tunisie, UCAR/INAT/LR17AGR01 (GREEN-TEAM), TunisiaABSTRACTThis 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..https://www.tandfonline.com/doi/10.1080/22797254.2022.2157335Microwave remote sensingSAR imageswater managementArtificial Neural Network (ANN)soil moisture estimateMediterranean basin |
| spellingShingle | Giuliano Ramat Emanuele Santi Simonetta Paloscia Giacomo Fontanelli Simone Pettinato Leonardo Santurri Najet Souissi Emmanuel Da Ponte Mohamed M. Abdel Wahab Alaa A. Khalil Yassmin H. Essa Mohamed Ouessar Hanen Dhaou Abderrahman Sghaier Amal Hachani Zeineb Kassouk Zohra Lili Chabaane Remote sensing techniques for water management and climate change monitoring in drought areas: case studies in Egypt and Tunisia European Journal of Remote Sensing Microwave remote sensing SAR images water management Artificial Neural Network (ANN) soil moisture estimate Mediterranean basin |
| title | Remote sensing techniques for water management and climate change monitoring in drought areas: case studies in Egypt and Tunisia |
| title_full | Remote sensing techniques for water management and climate change monitoring in drought areas: case studies in Egypt and Tunisia |
| title_fullStr | Remote sensing techniques for water management and climate change monitoring in drought areas: case studies in Egypt and Tunisia |
| title_full_unstemmed | Remote sensing techniques for water management and climate change monitoring in drought areas: case studies in Egypt and Tunisia |
| title_short | Remote sensing techniques for water management and climate change monitoring in drought areas: case studies in Egypt and Tunisia |
| title_sort | remote sensing techniques for water management and climate change monitoring in drought areas case studies in egypt and tunisia |
| topic | Microwave remote sensing SAR images water management Artificial Neural Network (ANN) soil moisture estimate Mediterranean basin |
| url | https://www.tandfonline.com/doi/10.1080/22797254.2022.2157335 |
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