Zobrazeno 1 - 10
of 177
pro vyhledávání: '"H. Rhinane"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W9-2024, Pp 77-82 (2024)
Amidst the rising prevalence of electric vehicles (EV) and the corresponding need for adequate charging infrastructures, this study presents an innovative application of deep learning models to analyze urban traffic. Utilizing the YOLO v3 model, our
Externí odkaz:
https://doaj.org/article/273120d6ec4d419bb5e7ef9e1e6f7dd8
Autor:
L. Hammoumi, H. Rhinane
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W9-2024, Pp 221-228 (2024)
Cities worldwide are attempting to be claimed as smart, but truly classifying as such remains a great challenge. This paper aims to use artificial intelligence AI to classify the smart city's performance as well as the factors linked to it. This is b
Externí odkaz:
https://doaj.org/article/b745ecb95827416ebdaf6596ab89b79f
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W9-2024, Pp 337-342 (2024)
A large portion of Morocco’s forest ecosystem is being damaged by human activity and climate change, which makes it crucial for the country to monitor forest dynamics and develop measures to counter these effects. The objective of this study was to
Externí odkaz:
https://doaj.org/article/12cd1e49ceb44940999d3eaf653f002a
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W6-2022, Pp 423-430 (2023)
The continued demand for mineral deposits in recent years has led exploration geologists for each stage of mineral exploration; find more effective and innovative ways of processing different data types. The use of Geographic Information Systems (GIS
Externí odkaz:
https://doaj.org/article/f37326b9f76845dbbe6117816e1c06ac
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W6-2022, Pp 1-5 (2023)
Accurate and efficient extraction of rural settlements from high-resolution remote sensing imagery is of paramount importance for rural government management. Unplanned rural settlements are quite common. Understanding the spatial characteristic of t
Externí odkaz:
https://doaj.org/article/703b4dbc8ede460e985f9a2350ecee1a
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W6-2022, Pp 75-79 (2023)
Agriculture is a very important economic sector in Morocco, which requires a set of tools to improve agricultural production. Among these tools, the use of geomembrane basins. The latter is of great importance in smart farming planning, management pr
Externí odkaz:
https://doaj.org/article/5675dde777eb4061b4a480ab88fc4ff8
Autor:
O. Himmy, H. Rhinane
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W6-2022, Pp 153-158 (2023)
Landslides are one of the most dangerous natural disasters worldwide. Al Hoceima region, Part of the Moroccan mountain chain of the Rif is not an exception, since it’s dominated by relatively young reliefs and marked by its dynamics compared to oth
Externí odkaz:
https://doaj.org/article/455ba452f2ef4e629136b7500226b230
Autor:
E. M. Sellami, H. Rhinane
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W6-2022, Pp 343-349 (2023)
In view of the increase in human activities, climate change and related hazards, land use and land cover (LULC) mapping is becoming a fundamental part of the process of any development or hazard prevention project. From this perspective, we propose a
Externí odkaz:
https://doaj.org/article/4b233a1443884c328a506e6dc98f4c08
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W6-2022, Pp 333-342 (2023)
Currently there is a public awareness to protect the environment especially forest ecosystems and the forest fire dilemma has become a topic of intense research around the world. In this setting, this study evaluates forest fire susceptibility (FFS)
Externí odkaz:
https://doaj.org/article/c2f7f0a4cb6749aa9cea02cfb33c0b3f
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W6-2022, Pp 351-354 (2023)
Globally, Increasing greenhouse production is causing producing environmental issues. Monitoring the number and determining the locations of greenhouses are essential for the modern agricultural land management. The aim of this study was to detect pl
Externí odkaz:
https://doaj.org/article/dd54ecefac674a459b166a42e6d959b7