Search Results (4)

This study examines the Land Surface Temperature (LST) trends in eight key Moroccan cities from 1990 to 2020, emphasizing the influential factors and disparities between coastal and inland areas. Geographically weighted regression (GWR), machine learning (ML) algorithms, namely XGBoost and LightGBM, and SHapley Additive exPlanations (SHAP) methods are utilized. The study observes that urban areas are often cooler due to the presence of urban heat sinks (UHSs), more noticeably in coastal cities. However, LST is seen to increase across all cities due to urbanization and the degradation of vegetation cover. The increase in LST is more pronounced in inland cities surrounded by barren landscapes. Interestingly, XGBoost frequently outperforms LightGBM in the analyses. ML models and SHAP demonstrate efficacy in deciphering urban heat dynamics despite data quality and model tuning challenges. The study’s results highlight the crucial role of ongoing urbanization, topography, and the existence of water bodies and vegetation in driving LST dynamics. These findings underscore the importance of sustainable urban planning and vegetation cover in mitigating urban heat, thus having significant policy implications. Despite its contributions, this study acknowledges certain limitations, primarily the use of data from only four discrete years, thereby overlooking inter-annual, seasonal, and diurnal variations in LST dynamics. Full article

Many tourists around the world are interested in coastal sites of exceptional scenic quality. This paper aims to assess the landscape quality of 50 sites along the Moroccan Mediterranean coast based on a novelty Coastal Scenic Quality Evaluation (CSQE) method able to classify the attractiveness of the sites and to distinguish exceptional ones with high tourist potential. This proposed methodology relies on evaluating coastal areas through easily obtainable indicators in order to simplify its application to other regions around the world. Four landscape dimensions were selected: Substratum, Sea-Coastal Area, Vegetation and Scenic Background. Each dimension was numerically assessed and ranged from 0 to 1. The values of each dimension along the sites were classified as: <0.2 (very low); 0.2 to <0.4 (low); 0.4 to <0.6 (medium); 0.6 to <0.8 (high) and ≥0.8 (very high). The results show that the overall scenic quality score of the Moroccan Mediterranean coast is 0.6 (high quality), reflecting a potential tourist destination of high scenic value. Substratum, Sea-Coastal Area and Vegetation dimensions obtained a high quality score (0.6 to <0.8), while the Scenic Background dimension recorded medium quality (0.4 to <0.6). Urbanization, the presence of litter and sewage evidence were the main factors of degradation of the Moroccan coastal landscapes, i.e., 32 out of 50 sites (64%) obtained low scores (from 0 to 2) for these three variables. Sound management actions have to be taken to reduce their impacts, in order to preserve and improve the natural landscape, and strength its capacity to host the various tourist activities. Full article

This paper focuses on the study of landscape quality of Moroccan Mediterranean coastal areas, with a view to distinguishing exceptional beaches with high scenic value. The main characteristics of 50 beaches along the studied coast were assessed using a coastal scenic evaluation system based on a set of 26 selected parameters, including physical (18) and human (8) parameters. Each parameter was examined via a five-point rating scale, ranging from presence/absence or poor quality (1) to excellent quality (5). A decision index (D) is afterward obtained and used to classify sites into five classes: Class I: D ≥ 0.85, which included 9 sites (18%); Class II: 0.85 > D ≥ 0.65, 10 sites (20%); Class III: 0.65 > D ≥ 0.40, 8 sites (16%); Class IV: 0.40 > D ≥ 0.00, 16 sites (32%); and Class V: D < 0.00, 7 sites (14%). The sites of Belyounech 2, Maresdar, El Hwad, and Dalya are the best examples of Class I and represent extremely attractive coastal landscapes. The sites of Ghandouri, Tangier Municipal, M’Diq, Martil, and Tangier Malabata are examples of degraded urban sites that are very unattractive due to high human pressures. Management efforts in Moroccan coastal landscapes can strengthen the control of human activities and improve the scenic value of the sites. Class II beaches, such as Mrisat, Souani, Taourirt, and Sfiha, could improve and upgrade to Class I through litter cleaning and a regular maintenance program. Using the same principle, Class III sites, such as Sidi Amer O Moussa and Sidi Driss, could improve and upgrade to Class II. Indeed, litter and sewage appear as the main factors of degradation of Moroccan coasts, and many excellent beaches are strongly affected by them. This should be a wakeup call to the Moroccan authorities to take urgent and appropriate management measures. Full article

Landsat-8 surface temperature and the European Space Agency land cover are used to assess the impact of land cover on the Urban Heat Island (UHI) and Urban Heat Sink (UHS). We analyzed five Moroccan cities selected for their different local climate, size, and typology during summer at three different spatial scales. The results show multiple causes defining the different forms and amplitudes of the UHI, namely: the ambient climate, the proximity to the sea, the presence of landscaped areas, and the color of building roofs and walls. Contrary to what was expected, the vegetation was not systematically an island of coolness, either because of its typology or its irrigation status. In the coastal cities of Tangier and Casablanca, UHIs around 20 °C are observed on the seaside, whereas a UHS of up to 11 °C is observed between the city center and the southern periphery of Casablanca. A moderate amplitude UHI of 7 °C is formed in the mountainous city of Ifrane. For cities built in desert-like environments, well-defined UHSs between 9 °C and 12 °C are observed in Smara and Marrakech, respectively. At a finer scale, towns recorded lower temperatures than their immediate surroundings, which are attributed to evaporation from irrigated plants. Full article