scholarly journals A Heritage Science Workflow to Preserve and Narrate a Rural Archeological Landscape Using Virtual Reality: The Cerro del Castillo of Belmez and Its Surrounding Environment (Cordoba, Spain)

2020 ◽  
Vol 10 (23) ◽  
pp. 8659
Author(s):  
Antonio Monterroso-Checa ◽  
Alberto Redondo-Villa ◽  
Massimo Gasparini ◽  
Alberto Hornero ◽  
Bernardo Iraci ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Rural Areas ◽  
Natural Landscape ◽  
Surrounding Environment ◽  
Heritage Site ◽  
Heritage Science ◽  
Integrated Recovery ◽  
Google Play ◽  
Innovative Action ◽  
Geomorphological Features

The main aim of this article is to present a heritage action protocol based on the application of photogrammetric and LiDAR acquisitions, a catalogue of flora and fauna, archeological research, and 3D virtualization for the integrated recovery of a rural cultural heritage site located in the Alto Guadiato Valley of Cordoba, Spain. This joint multidisciplinary action focusing on a common heritage objective has resulted in a comprehensive and innovative action: the virtualization of an 800-hectare multitemporal archeological landscape. The results may be of interest to researchers, educators, and tourism agents, or for the dissemination of scientific knowledge, among other applications. The protocol of actions implemented in the framework of this project can be replicated in sites with similar characteristics, particularly rural areas with well-preserved landscapes that have not been investigated. The main result of the project is the preservation of geomorphological features using remote sensing technologies and the creation of a virtual lookout for this historical and natural landscape (GuadiatVR), which is a very uncommon outcome within the virtualization of historical landscapes. The lookout can be downloaded from Google Play on IOS.

scholarly journals Geotourism—Examining Tools for Sustainable Development

Geosciences ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 30
Author(s):  
Marie-Luise Frey
Keyword(s):  
Sustainable Development ◽  
Good Practice ◽  
Geological Heritage ◽  
World Heritage Site ◽  
Infrastructure Development ◽  
Regional Tourism ◽  
Heritage Site ◽  
Heritage Science ◽  
Geosite Assessment ◽  
Selection Of

From the middle of the 1990s, geotourism was introduced through the first geotrails, their evolution, and the first geopark worldwide in Gerolstein/Vulkaneifel, Germany. The latter is one of the founding members of the European Geoparks Network, which was established in 2000 at the International Tourism Bourse (ITB) in Berlin. The main goal of the first geopark was to link geological heritage with tourism in a rural area that was trying to create new perspectives to inspire young people to stay in their home territory. Geotourism was initiated as part of sustainable tourist development and for future sustainable development at that time in the Gerolstein region. The first steps to implement the Gerolstein/Vulkaneifel Geopark, Germany, were taken in 1992. The core aspects included geological heritage, science transfer, and education as tools for developing geotourism in the broad sense and integrating local people and municipalities in the geopark activities of the rural region. Close collaboration with the local and regional tourism organizations highlighted the need to both define tools and demonstrate their success. Up to now, practice has shown that such success can be demonstrated by the infrastructure created, as well as adjacent measures and activities. A network of factors was determined to play a significant role in ensuring the successful sustainable development in a geopark across the field of geotourism. There are many activities and publications on geological heritage, geosite assessment, significance, and use, but there are fewer which reflect on the network of factors highlighted in this contribution which were first presented in 2002. In many publications and investigations, one factor in particular is emphasized, e.g., infrastructure development, such as panels or other items. Not all of the mentioned factors, however, are being addressed. As a result, a selection of good practice examples of UNESCO Global Geoparks (UGGP) working on the network-oriented conceptual basis has been studied here, in line with the conceptual principle set forth about 25 years ago. The geopark examples in this study include Lesvos Island UGGp (Greece), Naturtejo UGGP (Portugal), Vulkaneifel UGGp (Germany), and Hong Kong UGGP (China), as well as the example of the Messel Pit World Heritage Site (WHS) (Germany). The latter was integrated to present an example which is not a geopark, showing that this concept can also be transferred to a WHS as a tool for sustainable development according the UN 2030 Agenda. The information on the development of the selected examples was obtained by visiting the geopark territory and from the geopark’s websites and published material as a combined methodology.

scholarly journals An Improved Segmentation Method for Automatic Mapping of Cone Karst from Remote Sensing Data Based on DeepLab V3+ Model

2021 ◽  
Vol 13 (3) ◽  
pp. 441
Author(s):  
Han Fu ◽  
Bihong Fu ◽  
Pilong Shi
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Guizhou Province ◽  
Training Dataset ◽  
Optical Remote Sensing ◽  
Remote Sensing Images ◽  
Karst Landscape ◽  
Heritage Site ◽  
Training Samples ◽  
Input Module

The South China Karst, a United Nations Educational, Scientific and Cultural Organization (UNESCO) natural heritage site, is one of the world’s most spectacular examples of humid tropical to subtropical karst landscapes. The Libo cone karst in the southern Guizhou Province is considered as the world reference site for these types of karst, forming a distinctive and beautiful landscape. Geomorphic information and spatial distribution of cone karst is essential for conservation and management for Libo heritage site. In this study, a deep learning (DL) method based on DeepLab V3+ network was proposed to document the cone karst landscape in Libo by multi-source data, including optical remote sensing images and digital elevation model (DEM) data. The training samples were generated by using Landsat remote sensing images and their combination with satellite derived DEM data. Each group of training dataset contains 898 samples. The input module of DeepLab V3+ network was improved to accept four-channel input data, i.e., combination of Landsat RGB images and DEM data. Our results suggest that the mean intersection over union (MIoU) using the four-channel data as training samples by a new DL-based pixel-level image segmentation approach is the highest, which can reach 95.5%. The proposed method can accomplish automatic extraction of cone karst landscape by self-learning of deep neural network, and therefore it can also provide a powerful and automatic tool for documenting other type of geological landscapes worldwide.

scholarly journals Remote Sensing for Cultural Heritage Assessment and Monitoring: The Case Study of Alba Iulia

2021 ◽  
Vol 13 (3) ◽  
pp. 1406 ◽  
Author(s):  
Cristian Moise ◽  
Iulia Dana Negula ◽  
Cristina Elena Mihalache ◽  
Andi Mihai Lazar ◽  
Andreea Luminita Dedulescu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Cultural Heritage ◽  
Heritage Management ◽  
Time Interval ◽  
Urban Landscapes ◽  
Persistent Scatterer Interferometry ◽  
Heritage Site ◽  
Depth Analysis ◽  
Assessment And Monitoring ◽  
Historical Past

In recent times, satellite-based remote sensing has a growing role in archaeology and inherently in the cultural heritage management process. This paper demonstrates the potential and usefulness of satellite imagery for the documentation, mapping, monitoring, and in-depth analysis of cultural heritage and the archaeological sites located in urban landscapes. The study focuses on the assessment and monitoring of Alba Iulia, which is one of the Romanian cities with the richest historical past. Multitemporal analysis was performed to identify the land use/land cover changes that might contribute to an increased cultural heritage vulnerability to natural disasters. A special emphasis was dedicated to the assessment of the built-up area growth and consequently of the urbanization trend over a large time interval (30 years). Next, the urbanization and urban area expansion impact was further analyzed by concentrating on the urban heat island within Alba Iulia city and Alba Iulia Fortress (located in the center of the city). As temperature change represents a key element of climate change, the temperature trend within the same temporal framework and its impact on cultural heritage were determined. In the end, with regard to the cultural heritage condition assessment, the research was complemented with an assessment of the urban ground and individual building stability, using persistent scatterer interferometry. The results contribute to the detailed depiction of the cultural heritage site in such a manner that the site is monitored over an extensive timeframe, its current state of conservation is accurately determined, and the future trends can be identified. In conclusion, the present study offers reliable results regarding the main factors that might endanger the cultural heritage site as a basis for future preservation measures.

scholarly journals Classification of objects of tourism infrastructure in rural areas based on the use of historical, architectural and natural landscape potential on the example of Novosheshminsky region of the Republic of Tatarstan

2021 ◽  
Vol 274 ◽  
pp. 01030
Author(s):  
Stepan Novikov ◽  
Valeria Osina
Keyword(s):  
Rural Areas ◽  
Theoretical Method ◽  
Cultural Analysis ◽  
Natural Landscape ◽  
The Sustainable Development ◽  
Historical Significance ◽  
Key Points ◽  
Tourist Infrastructure ◽  
The Republic

Modern tourist trends are directed towards the undeveloped lands of the suburbs and rural areas, where, along with the agricultural and industrial orientation, the historical, architectural and natural landscape potential is preserved. To attract the tourist flow to the territory, routes are formed that allow identifying the historical significance and presenting this place taking into account ethnic, architectural, artistic and landscape features. Novosheshminsky region of the Republic of Tatarstan has a significant historical and cultural potential, is rich in natural resources, and flourishes in agriculture and horse breeding. For the sustainable development of the territory, it is proposed to form a tourist route that combines the key points of attracting tourists using the features of the tourist infrastructure. General logical methods-the analogy of domestic and foreign experience in organizing routes in rural areas, induction and observation, the theoretical method-historical and socio-cultural analysis of the Novosheshma region-revealed significant aspects in the organization of tourist infrastructure and methods of their correct use in these conditions. The result of the study was the creation of a tourist route on the territory of the Novosheshminsky region, followed by a proposal for the classification of tourist infrastructure objects necessary for its full functioning.

scholarly journals Identificação de Ilhas de Calor na Cidade de Campina Grande-PB Utilizando Sensoriamento Remoto (Identification of Heat Islands in Campina Grande City-PB Using Remote Sensing)

2016 ◽  
Vol 9 (2) ◽  
pp. 614 ◽  
Author(s):  
Elânia Daniele Silva Araújo
Keyword(s):  
Remote Sensing ◽  
Surface Temperature ◽  
Rural Areas ◽  
Urban Areas ◽  
Spatial And Temporal Variability ◽  
Heat Islands ◽  
Social Nature ◽  
Spatial Changes ◽  
Remote Sensing Techniques ◽  
The City

A intensa urbanização causa diversos problemas de natureza ambiental, climática e social. O crescimento não planejado da população urbana e a remoção da vegetação são fatores que intensificam estes problemas. As temperaturas na cidade são significativamente mais quentes do que as suas zonas rurais circundantes devido às atividades humanas. As intensas mudanças espaciais em áreas urbanas, promovem significativo aumento na temperatura, causando o chamado efeito de Ilha de Calor Urbano (ICU). Campina Grande é uma cidade de tamanho médio que experimentou um crescimento desordenado, desde o tempo do comércio de algodão e, como qualquer cidade de grande ou médio porte, sofre alterações em seu espaço. Dessa forma, este estudo teve por objetivo analisar a variabilidade espaço-temporal da temperatura da superfície (Ts) e detectar ICU, através de técnicas de sensoriamento remoto. Para o efeito, foram utilizadas imagens dos satélites Landsat 5 e 8, dos anos de 1995, 2007 e 2014. Aumentos da Ts foram bem evidentes e foram detectadas duas ICU. Campina Grande mostra um padrão de tendência: o crescimento urbano não planejado é responsável por mudanças no ambiente físico e na forma e estrutura espacial da cidade, o que se reflete sobre o microclima e, em última análise, na qualidade de vida das pessoas.   ABSTRACT The intense urbanization causes several problems of environmental, climate and social nature. The unplanned growth of urban population and the vegetation removal are factors that deepen these problems. Temperatures in the city are significantly warmer than its surrounding rural areas due to human activities. Large spatial changes in urban areas promote significant increase in temperature, causing the so-called Urban Heat Island effect (UHI). Campina Grande is a medium-sized town that experienced an uncontrolled growth since the time of the cotton trade and like any large or medium-sized city, undergoes changes in its space. Therefore, this study aimed to analyze surface temperature spatial and temporal variability and to detect potential UHI, through remote sensing techniques. Spectral images from Landsat 5 and 8 satellites were used. Using images from years 1995, 2007 and 2014, considerable increases in temperature were identified and two UHI were recognize. Campina Grande shows a trend pattern: the urban unplanned growth is responsible for changes in the physical environment and in the form and spatial structure of the city, reflecting on people quality of life. Keywords: change detection, surface temperature, heat islands, urbanization.   

scholarly journals Mapping Changing Population Distribution on the Qinghai–Tibet Plateau since 2000 with Multi-Temporal Remote Sensing and Point-of-Interest Data

2020 ◽  
Vol 12 (24) ◽  
pp. 4059
Author(s):  
Lanhui Li ◽  
Yili Zhang ◽  
Linshan Liu ◽  
Zhaofeng Wang ◽  
Huamin Zhang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Population Density ◽  
Rural Areas ◽  
Population Distribution ◽  
Local Population ◽  
Tibet Plateau ◽  
Point Of Interest ◽  
Tibet Autonomous Region ◽  
Multi Temporal ◽  
Qinghai Tibet Plateau

Advanced developments have been achieved in urban human population estimation, however, there is still a considerable research gap for the mapping of remote rural populations. In this study, based on demographic data at the town-level, multi-temporal high-resolution remote sensing data, and local population-sensitive point-of-interest (POI) data, we tailored a random forest-based dasymetric approach to map population distribution on the Qinghai–Tibet Plateau (QTP) for 2000, 2010, and 2016 with a spatial resolution of 1000 m. We then analyzed the temporal and spatial change of this distribution. The results showed that the QTP has a sparse population distribution overall; in large areas of the northern QTP, the population density is zero, accounting for about 14% of the total area of the QTP. About half of the QTP showed a rapid increase in population density between 2000 and 2016, mainly located in the eastern and southern parts of Qinghai Province and the central-eastern parts of the Tibet Autonomous Region. Regarding the relative importance of variables in explaining population density, the variables “Distance to Temples” is the most important, followed by “Density of Villages” and “Elevation”. Furthermore, our new products exhibited higher accuracy compared with five recently released gridded population density datasets, namely WorldPop, Gridded Population of the World version 4, and three national gridded population datasets for China. Both the root-mean-square error (RMSE) and mean absolute error (MAE) for our products were about half of those of the compared products except for WorldPop. This study provides a reference for using fine-scale demographic count and local population-sensitive POIs to model changing population distribution in remote rural areas.

scholarly journals Relevance of Gastronomy in the Tourism of a World Heritage Site: The Case of Sucre (Bolivia)

2019 ◽  
Vol 8 (12) ◽  
pp. 319 ◽  
Author(s):  
Medina-Viruel ◽  
Casero ◽  
Jiménez ◽  
González Santa Cruz
Keyword(s):  
Cultural Heritage ◽  
Rural Areas ◽  
World Heritage ◽  
World Heritage Site ◽  
Tourist Attractions ◽  
Heritage Site ◽  
The City

Recently, gastronomy has become one of the most important tourist attractions for cities as well as for rural areas. In this respect, tourists look for authenticity in the gastronomy heritage of these destinations, making it, thusly, a motivation for visiting the place. This research presents a segmentation of the tourists who visit Sucre (Bolivia), on the basis of a higher or lower interest in the gastronomy of the city. The results extracted from the research highlight the existence of three tourist segments with different attitudes regarding gastronomic experiences. Additionally, it notes the importance that a specific type of tourist places on discovering and better understanding the gastronomy of a city as part of its cultural heritage.

Structural testing of Historical Heritage Site Towers by microwave remote sensing

2009 ◽  
Vol 10 (2) ◽  
pp. 174-182 ◽  
Author(s):  
Massimiliano Pieraccini ◽  
Matteo Fratini ◽  
Devis Dei ◽  
Carlo Atzeni
Keyword(s):  
Remote Sensing ◽  
Microwave Remote Sensing ◽  
Structural Testing ◽  
Heritage Site ◽  
Historical Heritage

scholarly journals ANALYSIS OF SHRINES PROPERTIES USING REMOTE SENSING APPROACH: CASE STUDY OF LEMBAH BUJANG

2016 ◽  
Vol 14 (4) ◽  
Author(s):  
Shairatul Akma Roslan ◽  
Norzailawati Mohd Noor ◽  
Alias Abdullah ◽  
Zuraini Md Ali
Keyword(s):  
Remote Sensing ◽  
Spectral Reflectance ◽  
Threshold Value ◽  
Reflection Measurement ◽  
Heritage Site ◽  
Starting Point ◽  
History Of ◽  
Remote Sensing Techniques ◽  
Selection Of

The heritage of Lembah Bujang, Kedah is important as a starting point to understand the origins and history of civilization in Malaysia. This research is to analyze the spectral reflectance of shrines properties in an identified area by using remote sensing techniques in conserving this cultural heritage site. The remote sensing device (Spectroradiometer) was used to measure the spectral reflectance of the source of shrines in the study area. This tool was applied for reflectance’s test over properties such as ancient brick, granite, literates and iron in a different two study areas consist of Lembah Bujang and Kompleks Sungai Batu. Remote sensing test properties demonstrate that discrimination of properties types of each civilization is possible through reflection measurement, but that discrimination is complicated by surface conditions, such as weathering and lichen growth. Comparison between clays, granite and iron show that clays to be more reflective than granite and iron. This result will help more in our further study on detecting these properties direct through remote sensing imagery and will be helpful in developing new indexes and selection of threshold value on shrines material in the case study of Lembah Bujang.

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