Urban quality of life (UQoL) study is very important for many applications such as services distribution, urban planning, and socioeconomic analysis. The objective this to create an index map Al Ain city in the United Arab Emirates (UAE). research aligns with Nations Sustainable Development Goals number ten (reduce inequalities) eleven (sustainable cities communities). In study, remote sensing ...

Mapping watercourses and their surroundings through remote sensing methods is a fast, continuous, effective method crucial tool for capturing change possibly predicting hazards. Thanks to Synthetic Aperture Radar (SAR) technology the ability of its backscattered emitted radiation penetrate atmosphere under any conditions, this type mapping water surfaces particular importance. This paper presen...

Satellite data are very useful for the continuous monitoring of ever-changing environments, such as wetlands. In this study, we investigated use multispectral imagery to monitor winter evolution land cover in Albufera wetland (Spain), using Landsat-8 and Sentinel-2 datasets. With data, frequency observation is limited by possible presence clouds. To overcome problem, acquired two missions, Sent...

Inland lakes or reservoirs are the main surface water resources, related to people’s survival and social development. On-site level data critical for resource management, while satellite laser remote sensing a significant tool long-term change monitoring. In this study, we took Miyun Reservoir, most important source of drinking in Beijing, as research area. We used Landsat images Ice, Cloud, La...

Water bodies are a fundamental element of urban ecosystems, and water mapping is critical for urban and landscape planning and management. Remote sensing has increasingly been used for water mapping in rural areas; however, when applied to urban areas, this spatiallyexplicit approach is a challenging task due to the fact that the water bodies are often of a small size and spectral confusion is ...

Malaysia is affected by floods almost every year. In this situation, high-frequency flood monitoring crucial so that timely measures can be taken. However, the low revisit time of satellites, as well occlusion cast clouds in optical images, limits frequency observation focused area. Therefore, study proposes utilising multisatellite data from satellites such Landsat 7, 8, and Moderate Resolutio...

The large-scale monitoring of riverbank erosion is challenging because human, equipment, and financial limitations, particularly in developing countries. This study aims to detect identify hotspots along the Mekong River Cambodia. A rate map was developed using satellite images from Landsat 5, 7, 8 (1990–2020) modified normalized difference water index (MNDWI) at a resolution 30 m Sentinel-2 (2...

Photovoltaic (PV) technology is becoming more popular due to climate change because it allows for replacing fossil-fuel power generation reduce greenhouse gas emissions. Consequently, many countries have been attempting generate electricity through PV plants over the last decade. Monitoring satellite imagery, machine learning models, and cloud-based computing systems that may ensure rapid preci...

Estuarine wetlands provide an especially ecological home for various flora and fauna, with fragile structures functions easily affected by the external disturbances of both anthropogenic natural activities. Recently, (such as water marsh) Bohai Rim region have been, continue to be, lost or altered under influence local urbanization economic development. There is increasing need crucial essentia...

Given rapid environmental change, the development of new, data-driven, interdisciplinary approaches is essential for improving assessment and management river systems, especially with respect to flooding. In world's extensive drylands, difficulties in obtaining field observations major hydrological events mean that remote sensing techniques are commonly used map floods assess flood impacts. Suc...