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Titlebook: European Spatial Data for Coastal and Marine Remote Sensing; Proceedings of Inter Simona Niculescu Conference proceedings 2023 The Editor(s

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樓主: metamorphose
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發(fā)表于 2025-3-27 00:59:43 | 只看該作者
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發(fā)表于 2025-3-27 01:41:30 | 只看該作者
Assessment of Land Cover Changes in the Allala Watershed Based on Object Based Image Analysis Usingre assessed using GIS. In order to assess LULC changes, we used three images acquired using remote sensing, corresponding to 3 years; 1999, 2009, and 2020. A Sentinel-2 image and two Landsat images were used as input data in our methodology. Our LULC classification results showed that RF outperforme
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Assessment of Coastal Vulnerability to Erosion Risk Using Geospatial and Remote Sensing Methods (Caent purposes. The results obtained show 63% (14?km) of the coastline of the northeast coast of the island has a high to very high degree of vulnerability. Moreover, 37% of the coastline of the southeast of the island has a low to moderate vulnerability or about 22 km of the entire coastline. The qua
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發(fā)表于 2025-3-27 14:45:53 | 只看該作者
,Spatial Monitoring of Coastal Protection DikesCase Study of the Touristic Beach “Palm Beach, West Ay the degrees of effectiveness of these breakwaters. It is also a question of determining the effectiveness of the high spatial resolution imagery (2.5?m) of this national optical sensor in the measurement of macro-erosion phenomena in order to generalize this approach to the entire Algerian coast i
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Automatic Detection of Hydrodynamical and Biological Indicators of the Shoreline Using a Convolutioolution was used, sliced into sub-regions, and analyzed by a convolution kernel of size 3*3. The classification results have revealed a very high accuracy of 92%. A validation process was undertaken by comparing the results to field surveys (reference) acquired on the same day as the satellite image
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978-3-031-16215-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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