EVALUATION OF THE POTENTIAL OF GREEN ROOFS APPLIED TO AN URBAN FABRIC USING GIS AND REMOTE SENSING DATA CASE OF THE NADOR CITY / MOROCCO

Accelerated urban growth has affected many of the planet's natural processes. In cities, most of the surface is covered with asphalt and cement, which has changed the water and air cycles. To restore the balance of urban ecosystems, cities must find the means to create green spaces in an increasingly gray world. Green spaces provide the city and its inhabitants a better living environment. This article uses Nador city as a case study area, this project consists in studying the possibility for the roofs to receive vegetation. The first axis of this project is the quantification of the current vegetation cover at ground level by calculating the Normalized Difference Vegetation Index (NDVI) based on Satellite images Landsat 8, then the classification of the LiDAR point cloud, and the generation of a digital surface model (DSM) of the urban area. This type of derived data was used as the basis for the various stages of estimating the potential plant cover at the roof level. In order to study the different possible scenarios, a set of criteria was applied, such as the minimum roof area, the inclination and the duration of the sunshine on the roof, which is calculated using the linear model of angstrom Prescott based on solar radiation. The study shows that in the most conservative scenario, 21771 suitable buildings that had to be redeveloped into green roofs, with an appropriate surface area of 369.26Ha allowing a 63,40% increase in the city's green space by compared to the current state contributing to the improvement of the quality of life and urban comfort. The average budget for the installation of green roofs in a building with a surface area of 100 m2 varies between 60000dh and 170000dh depending on the type of green roofs used, extensive or intensive. These results would enable planners and researchers in green architecture sciences to carry out more detailed planning analyzes.

Gis And Remote Sensing: A Review Of Applications To The Study Of The Covid-19 Pandemic

The spread of the 2019 novel coronavirus disease (COVID-19) has engulfed the world with a rapid, unexpected, and far-reaching global crisis. In the study of COVID-19, Geographic Information Systems (GIS) and Remote Sensing (RS) have played an important role in many aspects, especially in the fight against COVID-19. This review summarises 102 scientific papers on applications of GIS and RS on studies of the COVID-19 pandemic. In this study, two themes of GIS and RS-related applications are grouped into the six categories of studies of the COVID-19 including spatio-temporal changes, WebGISbased mapping, the correlation between the COVID-19 and natural, socio-economic factors, and the environmental impacts. The findings of this study provide insight into how to apply new techniques (GIS and RS) to better understand, better manage the evolution of the COVID-19 pandemic and effectively assess its impacts.

Spatial analysis of Prosopis Juliflora trees, its environmental and developmental effects on Wadi Yiba in the southwest of Saudi Arabia: التحليل المكاني لأشجار البرسوبس وآثاره البيئية والتنموية على وادي يــبة جنوب غرب المملكة العربية السعودية

Prosopis Juliflora is an invasive shrub or tree native to South American countries. It is one of the most important exotic and invasive organisms that are spread in the Kingdom of Saudi Arabia. This study concentrates on investigating the widespread of Prosopis Juliflora in Wadi Yiba، located in the southwest of the Kingdom، and given the possibilities offered by geographic information system (GIS) and remote sensing to help determine the areas of spread of the plant and its size، and to take the best capabilities، especially with regard to processing and analyzing large and diverse spatial information، the present research aims to use this in evaluating the current and future situation of the spread of plants in Wadi Yiba، and the extent of its impact on the environment، while suggesting appropriate ways to manage it. The research relied on the use of Landsat images، working with the subtraction method، and subjecting the images to the object-oriented classification، by taking 30 specimens for each cover and merging these specimens، and the layers of vegetation cover were derived using the normalized difference vegetation index (NDVI) for each year. The research concluded that there is a concentration in the spread of Prosopis Juliflora in the center and north of Wadi Yiba، especially in the city of Therban and villages of Al-Balqa’a، Al-Tala’i، Sabt Al-Jara، and Khamis Harb، with a spread along the valley to the estuary. At the end، the research recommended the establishment of a research center for the study of Prosopis Juliflora in Assir region، and an attempt to develop economic plans to benefit from Prosopis Juliflora in Wadi Yiba.

INVESTIGATION OF TEMPORAL CHANGE OF LAND USE IN ELMALI BASIN USING REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS

The sustainable use of water and soil, which are indispensable for living things, is closely related to the concept of land use. While land use is becoming gradually modern as a necessity of the age, urbanization and industrialization are also gaining great importance. So much so that, in Turkey, where agriculture-based economy was emphasized until the 1980s, interest in exports of industrial products has increased in recent years and industrial investments especially in the Marmara region have increased considerably. This situation has increased job opportunities due to the industrialization developing in the region and has led to an increase in the population in parallel. The structure process has accelerated in order to meet the needs of the increasing population.Basin areas, which contain a wide variety of classes, are among the regions that are highly affected by these changes. Within the scope of the study, Elmalı Basin, which is used to supply potable and utility water to the province of Istanbul, was chosen as the study area. Within the scope of the research, the temporal change of the land use in Elmalı Basin has been investigated by using Landsat-8 satellite with a spatial resolution of 30 meters for the years 2013, 2015, 2018 and 2020 taking advantage of Geographical Information Systems (GIS) and Remote Sensing (RS) technologies. Classification was made with support vector machines, one of the controlled classification methods on satellite images, and the changes in land use were evaluated by comparing the images of working years.

EXAMINE OF THE IMPACT OF LAND USE ON WATER BASINS USING GEOGRAPHICAL INFORMATION SYSTEMS AND REMOTE SENSING: TERKOS BASIN EXAMPLE

Development movements bring along population movements. Investments in Istanbul make the city of Istanbul even more attractive. With the increasing population, the need for water is increasing day by day. Construction of the 3rd Istanbul Airport within the borders of Terkos Basin, which is one of the important drinking water resources of Istanbul, has caused land use changes in the basin. Geographical Information Systems (GIS) and Remote Sensing techniques have been used to examine this change. The data obtained through Remote Sensing can be easily analyzed in GIS environment.In this study, Landsat 8 satellite images of the years 2013, 2015 and 2020 were preferred in the examination of the temporal change of land use of the Terkos Basin. The satellite images obtained were classified using the controlled classification technique in the Envi program. Satellite images classified for the creation and analysis of land use maps have been transferred to the ArcGIS program. The changes in the classes determined according to the obtained results were examined, and the changes in question were revealed by spatial analysis. Suggestions have been made for the protection of the Terkos drinking water basin and ecosystem, which is extremely important for Istanbul.

Monitoring spatio-temporal compliance of urban development plans using GIS and remote sensing in Nairobi City County, Kenya

Development control aims to provide an urban environment with quality service delivery, optimal use of available resources, conservation, and reduction of haphazard urban growth. At the core of development control is the compliance assessment process, which ensures adherence to regulatory policies. The City of Nairobi compliance assessment process lacks considerable enforcement capacity and this has led to uncontrolled development. This study uses GIS and remote sensing to assess the spatio-temporal compliance of development plan(s) in Nairobi City County. Land use/cover of Nairobi City County from 1976 to 2019 were obtained from classified Landsat images at a nearly 10-year interval of six epochs (1976, 1984, 1993, 2002, 2010 and 2019). The zoning plan maps were digitised and superimposed on the classified images to determine compliance, taking subsequent reviews of spatial development plans into account. The non-compliance rates for residential, commercial, and industrial activities varied at 57~84%, 63~81% and 65~92%, respectively, during the study period (1976–2019). A comparison between the planned and non-compliant areas showed that residential, commercial, and industrial activities occurred mostly outside planned areas from 1976 to 2019. The analysis showed a considerably less increase in non-compliance on commercial land use. This is so because of the review done on the zoning plan for Nairobi City in 2005. The industrial land use non-compliance was constantly increasing over the study period, an indicator of the ever-rising rate of urbanisation in the Nairobi metropolitan area. This study illustrates the power of rapid spatial mapping in monitoring compliance of urban development plans for informed decision making.

GIS and Remote Sensing for Renewable Energy Assessment and Maps

Geographic Information Systems (GIS) and Remote Sensing (RS) techniques are of great interest for the renewable energy field [...]