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Extraction of the Spatial and Temporal Surface Water Bodies Using High Resolution Remote Sensing Technology at Cardiff City, United Kingdom

Kareem Hayder H., Attaee Muammar H., Omran Zainab Ali

Journal of Ecological Engineering

2023

Vol. 24, nr 11

135--147

Since surface water is such a vital component to ecosystem health and human well-being, knowing where it can be found is of paramount importance. Moderate and low-resolution satellite photos are widely used for this purpose because to their practicality in large-scale implementation. However, very high-resolution (VHR) satellite pictures are required for the detection and analysis of more intricate surface water features and small water bodies. Extraction of water from VHR pictures on a wide scale necessitates efficient and reliable technologies. Cardiff City in Wales, United Kingdom is the area under investigation for the Enhanced Water Index (EWI) which will through this index can detect the surface water bodies (SWBs). The Multispectral Scanner (MSS), Thematic Mapper (TM), Enhanced Thematic Mapper Plus ETM+, and Operational Land Imager OLI Landsat images have been analyzed to extract SWBs over the years 1974, 1984, 1994, 2004, 2014, and 2023. Results shows that the years 1974, 1994, and 2014 have less SWBs regions compared to the years 1984, 2004, and 2023. Regions suffer from dry were larger than those contain water in the years 1974, 1994, and 2014, while in the years 1984, 2004, and 2023, SWBs were very large, leaving behind small areas that suffered from drought. It can expect from this study that the return period of dryness or wetness may happen every 20 years. This research can be used as a reference when developing new methods for extracting water body information from VHR photos, and it can be used to the mapping of water bodies in other broad regions.

Land Surface Temperature in Response to Land Use/Cover Change Based on Remote Sensing Data and GIS Techniques: Application to Saïss Plain, Morocco

El Garouani Manal, Amyay Mhamed, Lahrach Abderrahim, Oulidi Hassane Jarar

Journal of Ecological Engineering

2021

Vol. 22, nr 7

100--112

In order to analyze the impact of land use and land cover change on land surface temperature (LST), remote sensing is the most appropriate tool. Land use/cover change has been confirmed to have a significant impact on climate through various aspects that modulate LST and precipitation. However, there are no studies which illustrate this link in the Fez-Meknes region using satellite observations. Thus, the aim of this study was to monitor LST as a function of the land use change in the Saïss plain. In the study, 12 Landsat images of the year 2019 (one image per month) were used to represent the variation of LST during the year, and 2 images per year in 1988, 1999 and 2009 to study the interannual variation in LST. The mapping results showed that the land use/cover in the region has undergone a significant evolution; an increase in the arboriculture and urbanized areas to detriment of arable lands and rangelands. On the basis of statistical analyses, LST varies during the phases of plant growth in all seasons and that it is diversified due to the positional influence of land use type. The relationship between LST and NDVI shows a negative correlation (LST decreases when NDVI increases). This explains the increase in LST in rangelands and arable land, while it decreases in irrigated crops and arboriculture.