Satellite monitoring of water resources in the Middle East / Amin Shaban, editor.
Shaban, Amin, 1961- editor.
2022
GB1759.5
Available Online

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Title
Satellite monitoring of water resources in the Middle East / Amin Shaban, editor.
ISBN
9783031155499 (electronic bk.)
3031155491 (electronic bk.)
9783031155482
3031155483
DOI
https://doi.org/10.1007/978-3-031-15549-9
Published
Cham, Switzerland : Springer, 2022.
Language
English
Description
1 online resource : illustrations (black and white, and color).
Item Number
10.1007/978-3-031-15549-9 doi
Call Number
GB1759.5
Dewey Decimal Classification
551.480956
Summary
This book presents both updated and new measurements on water resources from selective pilot areas form the Middle East. Demand for water has become very crucial notably in arid and semiarid regions like in the Middle East. The changing climate and the increased population are the most striking challenges on water resources in this region where the largest part of its territory is dry lands and deserts with minimal precipitation and high evaporation rates, and thus, the average per capita of water does not exceed 25 m3/year. This resulted in developing many studies and researches in different Middle East countries to clearly identify and assess the hydrological characteristics of the available water resources and to explore new resources in order to secure balanced water supply/demand. As a first of its type, this book introduces comprehensive knowledge on the successful reports of the use of satellite images in water studies in the Middle East, and the economic value resulted from adopting these techniques. Based on illustrated case-studies the book will represent a significant resource for a large number of experts, academics, researchers, engineers and different-level stakeholders including the decision makers.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Shaban, Amin, 1961- editor.
Series
Springer water.
Available in Other Form
Satellite monitoring of water resources in the Middle East.
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
1. Fundamentals of Satellite Remote Sensing
2. Water Resources in the Middle East
3. The Suitability of Satellite Remote Sensing and GIS Technologies For Mapping, Monitoring and Managing Water Resources in The Middle East
4. Atmospheric Rivers and Precipitation in the Middle East and North Africa (MENA)
5. Inventory of Shared Water Resources in Western Asia Revisited: Selected Pilot Areas for the Application of Remote Sensing
6. GIS-based multi-criteria approach to assess water resources vulnerability in a changing climate over the Arab Domain
7. Unraveling the spatio-temporal dynamics of satellite-inferred water resources in the Arabian Peninsula
8. A Technical Note on Least Squares Mascon Fitting to GRACE Satellite Data to Estimate Total Water Storage Changes in The Middle East
9. Spatial-Temporal Change of a Dam Lake Area Using Remote Sensing and Meteorological Drought Indices
10. Forecasting Domestic Water Demand using Meteorological and Satellite data: Case study of Greater Beirut Area
11. MODIS Satellite Images and TRMM Products to Compare Rainfall and Streamflow along the Coastal Rivers of Lebanon
12. Water balance and demand for different environmental changes and management scenarios in the Hasbani Basin, Lebanon using WEAP model and remotely sensed data
13. Agricultural Water Management in the Nile Delta Using Remote Sensing Techniques
14. Studying Hydrological Characteristics of the West Bank and Gaza Strip, Palestine Using GIS and Remote Sensing Data
15. Landsat Satellite Images for Lineaments Detection: A Tool to Identify Groundwater Productivity in Lebanon
16. Using information from remote sensing to estimate groundwater: GRACE and Sentinel-1 satellites
17. Volcanic Terrains Reveal Bright Hydrogeological Prospects in Saudi Arabia: A GIS & RSA Linked Research on Harrat Rahat
18. Regional mapping of groundwater potential zones in the Saudi Arabia using remote sensing and machine learning algorithms
19. A DRASTIC-based Fuzzy C-Means Clustering Technique for Evaluating Groundwater Vulnerability under Uncertainty
20. Prospects of Retrieving Non-Optical Water Quality Properties with Remote Sensing Techniques
21. The potential of different reflectance based algorithms to retrieve Phycocyanin concentration through remote sensing. Application to a hypereutrophic Mediterranean lake
22. Remote sensing of water quality for human use of Shat Al-Hilla, Iraq.

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