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The present work is concentrated on the landslides which are very common disaster in the Himalayan region. This specific research theme was attempted taking cues from preparation of a landslide inventory, damage assessment, hazard mapping and subsequently risk analysis. Moreover Landslide change detection of two event pre and post Digitized based o...
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Mass movements in mountainous areas are capable of damming rivers and can have a lasting effect on the river longitudinal profile. The long profile is commonly used to retrieve regional tectonic information, but how much dams may compromise geomorphometry-based tectonic analysis has not been systematically researched. In this study, we investigate...
Copious population growth and anthropogenic activities on earth is changing the natural environment extremely. Hence, an attempt has been made in this paper to determine and identify changes in land-use/land-cover changes and tidal Inundation has been carried out using Remote Sensing (RS) and Geographical Information System (GIS). To distinguish th...
Landslides or rockfalls in mountainous areas in Western Greece are a continuous hazard and thus, observation either in situ or through satellite data is of great necessity. In order to study landslides or rockfalls a very accurate representation of the relief is a prerequisite. In now days diverse remote sensing satellites provides digital surface...
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... Arazi kullanımı/örtüsü değişiminin ekosistem hizmetleri üzerindeki etkilerini geniş bir yelpazede inceleyen ya da tanımlayan bazı akademik çalışmalar (Vitousek, 1997;Sala vd., 2000;Trimble ve Crosson, 2000;Praveen, 2017), küresel ölçekteki sorunların; (1)biyotik çeşitlilik üzerindeki etkiler, (2)toprak bozulması ve (3)ekosistemlerin insan ihtiyaçlarını destekleme kabiliyeti üzerinde yoğunlaştığını ortaya koymaktadır. ...
Günümüzde, hızlı nüfus artışı ve çarpık yapılaşma sonucunda, plansız kentleşme giderek artan bir ivme kazanmaktadır. Plansız kentleşmenin önlenmesinde, alan kullanımlarının mevcut durumunun zamansal ve mekânsal olarak belirlenerek değerlendirilmesi büyük önem taşımaktadır. Çalışmayı uygulamanın en uygun ve gerçekçi yollarından birisi ise uydu görüntüleri kullanılarak yapılan arazi değişim izleme tekniklerini kullanmaktır. Bu çalışmada, Aydın İli Nazilli İlçesi’nde (yaklaşık olarak 2919 ha alanda) Coğrafi Bilgi Sistemleri kullanılarak, uydu görüntüleri incelenmiş ve arazi örtüsü/alan kullanımının (AÖ/AK) mekânsal ve zamansal değişimi belirlenmiştir. İlçenin 2004 ve 2019 yıllarına ait Google Earth uydu görüntüleri kullanılarak, ArcGIS 10.5 programı aracılığıyla manuel sınıflandırma yapılmış, beş ana AÖ/AK sınıfı oluşturulmuş ve sayısallaştırma yapılmıştır. Elde edilen veriler karşılaştırılarak, ilçe merkezinin 15 yıllık süreçteki arazi örtüsü/alan kullanımının(AÖ/AK) değişimi tespit edilmiştir. Sonuçlara göre; 2004 yılında tarımsal alanlar 1643,80 ha alana sahipken, 2019 yılında bu alanlar 1243,96 ha olarak hesaplanmıştır. 2004 yılında 1060,11 ha olan sanayi ve yerleşim alanları, 2019 yılında 1347,59 ha’a çıkmıştır. Alandaki aktif ve pasif yeşil alanın toplam miktarı 2004 yılında 215,06 ha iken 2019 yılında 327,40 ha’a yükselmiştir. Araştırmada, kullanım alan miktarlarının değişim nedenleri irdelenerek, önerilerde bulunulmuştur.
... (6), 21, 41, 63-69. Mas [70], who compared six change detection approaches to monitor land cover change, accepted the benefit of post-classification. Image differencing, vegetative index differencing, selective PCA, direct multi-date unsupervised classification, post-classification differencing, and a mix of image enhancement and post-classification contrast were among the methods used. ...
... Heavy rains and associated deluge on 16/17 June 2013 in the catchments of the Mandakini river and its tributaries, caused immense loss of life, property and infrastructures in the area. Numerous studies are undertaken after disaster in the region [17][18][19][20]. ...
Deluge of June 2013 is the worst disaster faced by the nation in recent times. Changing rainfall pattern in the previous some years has made heavy localized precipitation all the more common in Uttarakhand and the same is a cause of concern for the state government, meteorologists and other researchers. These incidences cause enormous loss of human lives, property, infrastructures and natural resources. Moreover rainfall in the study area is highly variable even over short distances. Dissected topography and tectonically active nature of the area further promote mass movement and slope instability. Increased indiscriminate anthropogenic intervention along the river banks, on glacial sediments, thick colluviums zones and river borne materials on moderate to steep slope, has often resulted in devastation in the area. The study highlights causes of slope instability together with the geomorphic changes and suggestions for future developmental initiatives within the district.
Geomorphology is important for the understanding of Earth surface processes, geochronology, natural resources, natural hazards and landscape evolution. Present study analysis’s the Geomorphological analysis of the basin like geomorphology, lineaments, lithology, land use/land cover, DEM, slope and aspects. The present study is based on spatial data acquired form of Survey of India topo-sheets, ASTER GDEM (2011) and BHAVAN (bhavan.nrsc.gov.in). Mandakini River is a major tributary of Alaknanda River and it originates from the Chorabariglacier. The total catchment area of the river is near about 1666.34 km². The Remote Sensing and GIS techniques have been used to complete the work on present study. The geoinformatics-based study of Geomorphological analysis of river basin characteristics can be used by local people for sustainable development of this area.
In recent years, the world of Civil Engineering has been changing considerably (Liu et al., 2017; Zhou et al., 2020). Within the many obstacles, barriers, and opportunities, significant challenges should be considered for the future of the Civil Engineering, with the contribution of Geoinformatics, several scientific areas associated with Civil Engineering experience rapid technological evolution (Baig et al., 2022; Lousada, Cabezas, et al., 2022; Ray et al., 2023). Thus, evolution is related to several areas, such as structures, civil constructions, geotechnics, foundations, hydraulics, communication routes, regional and urban planning, sustainability, climate change and environmental impact, among others (Chau et al., 2015; Govindan et al., 2016; Han & Thakur, 2015; Jensen, 2020). Considering these challenges, we can work to portray the future of Civil Engineering.
Civil engineering has been greatly influenced by the evolution of Urban Politics and Geoinformatics, as these two fields have had a significant impact on the design, planning, and management of urban infrastructure (Bernhäuserová et al., 2022; Dilworth, 2020; Pineo et al., 2020).
Urban Politics has played a vital role in shaping the development of cities and urban areas (Robinson, 2016). Political decisions made at the local, regional, and national levels have a significant impact on the design and construction of infrastructure projects (Lieberman, 2002; Lousada, Cabezas, et al., 2022). Civil engineers must consider the political environment in which they operate, as well as the political priorities of elected officials and policymakers, when designing and implementing infrastructure projects (Fang et al., 2023; Jensen, 2020; Ray et al., 2023).
Geoinformatics, which involves the collection, analysis, and interpretation of geospatial data, has also had a significant impact on Civil Engineering. Geoinformatics technologies such as geographic information systems (GIS) and remote sensing have revolutionized the way that civil engineers plan and design infrastructure projects. These tools allow engineers to gather and analyze a vast amount of spatial data, which can be used to optimize infrastructure designs and improve the efficiency of construction and maintenance activities (Lousada et al., 2021; Lousada, Gonçalves, et al., 2022; Lousada & Castanho, 2022).
Geoinformatics, also known as Geographic Information Systems (GIS), is a powerful tool for supporting Urban Politics and Civil Engineering development. GIS is a computer-based system that integrates various types of geographic data, such as maps, satellite imagery, and demographic information, to analyze, visualize, and interpret spatial relationships (Baig et al., 2022; Ray et al., 2023; Singh et al., 2011).
In the context of Urban Politics, GIS can be used to support decision-making processes related to land-use planning, transportation, and infrastructure development. For example, GIS can be used to analyze the spatial distribution of population density, income levels, and transportation networks to identify areas that are underserved by public transportation. This information can then be used to guide the development of new transportation routes or to prioritize the allocation of resources for infrastructure development (Dilworth, 2020; Lieberman, 2002; Robinson, 2016).
In the field of Civil Engineering, GIS can be used to support the design and construction of buildings, roads, bridges, and other infrastructure. GIS can be used to analyze the suitability of different sites for construction projects, taking into account factors such as topography, soil type, and environmental conditions. GIS can also be used to monitor construction progress and to identify potential risks or hazards (Chau et al., 2015; Kotis et al., 2023; Lousada et al., 2021; Lousada, Gonçalves, et al., 2022).
Overall, Geoinformatics is a valuable tool for supporting Urban Politics and Civil Engineering development. By providing a comprehensive and integrated view of geographic data, GIS can help decisionmakers to make more informed and effective decisions, leading to more sustainable and resilient urban environments (Lieberman, 2002; Ray et al., 2023).
This chapter aims to develop landslide susceptibility maps for the Sikkim state in India by combining the analytical hierarchy process, geographic information systems, and remote sensing. The delineation of the landslide susceptibility maps has taken into consideration a variety of data such as density of lineament, slope, lithology, aspect, land cover and land use, road buffer, rainfall, and drainage density. Using both Landsat 8 and ground data in a GIS framework, spatial distribution of maps and map layers of required themes were produced. The appropriate weights based on the Saaty's scale were given to these thematic layers in accordance with their respective significance in the occurrence of landslides in the study area. According to the study area's demarcated landslide susceptibility map, the risk levels were very low (12.52%), low (21.12%), moderate (8.05%), high (31.13%), and very high (27.18%). The accuracy of the study region is computed using the AUC curve using the AHP model landslide map and inventory map, which shows good result with 70% accuracy.
The present paper discusses the phenomena of land
use and land cover (LULC) which has undergone
constant changes over the past few decades due to
major variations in the environment caused by
anthropogenic and natural factors. A comprehensive
review of the studies has done so far in which a
decreasing pattern in land use land coverage has been
identified. It has also been observed that land use
affects land cover and vice versa.
