Among the Saudi Vision 2030 programs is the Green Saudi Initiative, which aims to protect the environment, energy conversion, and sustainability projects to build a sustainable future. In the present paper, Green Infrastructures (GI) were assessed, analyzed, and mapped using GIS and Analytic Hierarchy Process-based-Multi-Criteria Decision-Making Method (AHP-MCDM). Ten criteria were selected to elaborate the GI suitability map (DEM, slope, topographic position index, rainfall, distance to the water lines, topographic wetness index, distance to the road, wind speed, housing income group high (high-income people) map, employment in the agricultural sector, and land use land change). The results revealed four classes of suitability: Poor, Fair, Good, and Excellent. The “Excellent” area for GI planning was estimated at 983 km² (9%), whereas the “Good” area covered 36% (3987 km²). The excellent and good areas for GI were more localized in the central part of the Al Baha region in the areas of Al Bahah, Elmandaq, Alatawlah, and the central part of Buljurshi. According to the obtained results, the southern part of the study is not suitable for GI planning; this is explained by the large area of barren land and sand. The results obtained by this research may help managers and decision-makers in future planning for GI areas in the Al Baha region.

Land cover assessment plays a vital role in both current and future planning and use of natural resources for sustainable development for any country. For the good practice of the vision 2030 in Al Baha region (south-western Saudi Arabia), land cover was assessed, classified, and analyzed using remote sensing databases and time series analysis combined with spatial analysis in geographic information system (GIS) based on high-resolution Landsat 8 OLI, Sentinel-2 satellite imagery between the period of study 2017/2018 and 2021/2022. Based on both an accuracy assessment and kappa test, the results indicate that Esri Sentinel-2 imagery gives the highest performance compared to Landsat 8 OLI with accuracy and kappa test equal to 87% and 84%, respectively. On the other hand, the land cover classification revealed that the large area of water bodies is localized on Alaqiq (1.45 km²), Baljurish (0.94 km²), and Elmelkhwah (1.57 km²). Furthermore, the built area of the Al Baha region between 2017 and 2021 was estimated to increase by 144 km² (from 516.5 to 661.07 km²), which is especially significant for the Qelwah district (from 16.97 to 44.16 km²) which demonstrated a decrease in bare ground area of approximately 320 km². The crop lands have been increased by 162.74% in the 2017–2021 period from 10.39 km² to 16.90 km², particularly at Qelwah and Elmelkhwah. Finally, the results obtained by this research can help decision-makers and managers for better natural resources management in the Al Baha region.