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Titlebook: Geospatial Technology; Application in Water Hassane Jarar Oulidi,Abdelhamid Fadil,Nour Eddine Book 2020 Springer Nature Switzerland AG 202

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21#
發(fā)表于 2025-3-25 03:32:13 | 只看該作者
Geospatial Technology978-3-030-24974-8Series ISSN 2522-8714 Series E-ISSN 2522-8722
22#
發(fā)表于 2025-3-25 11:07:56 | 只看該作者
23#
發(fā)表于 2025-3-25 15:43:53 | 只看該作者
24#
發(fā)表于 2025-3-25 17:32:18 | 只看該作者
https://doi.org/10.1007/978-3-031-21398-4ls that require space-time distributed data. In developing countries, the implementation of such approaches is often hampered by data scarcity. To deal with this situation, the use of global data captured by earth observation satellites is considered as a major issue. This work aims to show the util
25#
發(fā)表于 2025-3-25 23:41:57 | 只看該作者
26#
發(fā)表于 2025-3-26 04:10:55 | 只看該作者
https://doi.org/10.1007/978-3-030-69720-4o perform several applications in different fields, especially hydrological, meteorological and agricultural ones. There are several methods for measuring this parameter in two main categories: in-situ methods and remote sensing. In this sense, two well-known satellites are invested, namely Soil Moi
27#
發(fā)表于 2025-3-26 05:30:51 | 只看該作者
Schlussbetrachtung und Ausblickr such as human activities, aerosols, sedimentary paleosalinity or seawater intrusion. The latter may compromise the quality of the water resource for both drinking water supply and its irrigation ability. Using the digital model, the current work aims at duplicating the pattern of evolution of the
28#
發(fā)表于 2025-3-26 09:59:29 | 只看該作者
https://doi.org/10.1007/978-3-642-50260-6ses, such as typhoid fever, viral hepatitis, gastroenteritis, dysentery, to name but a few. The spatiotemporal monitoring of the different parameters that define the quality of the water with regard to 2017 shows that the downstream of Oued Fez and the existing sites in its north-east in the per urb
29#
發(fā)表于 2025-3-26 16:17:26 | 只看該作者
30#
發(fā)表于 2025-3-26 18:53:14 | 只看該作者
https://doi.org/10.1007/978-90-313-6514-2il loss equation (RUSLE) developed at the origin by Wischmeier and Smith 1958 to quantify the rainfall soil loss, and predict the average. Using this mathematic model combining GIS (ArcGIS10.2) and remote sensing, we were able to estimate five parameters [(.) rainfall erosivity, (.) soil erodibilty,
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