Assessing geo-hydrological hazards with Remote sensing data in Antananarivo (Madagascar) historical center

2020 ◽  
Author(s):  
Andrea Ciampalini ◽  
William Frodella ◽  
Daniele Spizzichino ◽  
Claudio Margottini ◽  
Nicola Casagli
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Remote Sensing Data ◽  
Slope Instability ◽  
World Heritage Site ◽  
Hazard Mapping ◽  
Heritage Site ◽  
Unesco World Heritage Site ◽  
Hydrological Hazards ◽  
Optical Satellite Images

<p>Landslides represent a major threat in Madagascar, especially in the central and eastern regions during the rainy season (from November thru May), when heavy rains from tropical storms and cyclones saturate the soil making mountains and hillsides more susceptible to slope instability phenomena. The capital Antananarivo has been particularly affected by geo-hydrological risks in the last years, with special regards to the March 2015 event, when cyclones triggered diffuse flooding and landslides causing damages, casualties and over 20000 evacuees. Antananarivo area is characterized by the most important historical and cultural heritages in Madagascar, such as the ancient fortifications and palaces at Ambohimanga (located just 20 km north of the town area), protected as an UNESCO World Heritage site since 2001, and the Rova of Antananarivo royal palace complex. Antananarivo was called Analamanga (the "blue forest"), until 1610, when the merina King Andrianjaka built his palace on the highest hill of the city, and built the first Rova (meaning “fort” in Malagasy) to post a garrison of 1000 man. Antananarivo developed from the site of the first Rova at the top of Analamanga hill at about 1480 m a.s.l., becoming the current historical core (the Upper town or the “Haute Ville”), gradually spreading over the whole Analamanga hill slopes (Middle town or the “Ville Moyen”).</p><p>In October 2017, a geo-hydrological hazard mapping was performed in the Upper Town by combining field surveys, remote sensing and geomatic data analysis. The output of the performed activities consisted in the creation of a detailed geodatabase, which by means of geomatics methods was integrated with field data, topographic data, high resolution digital terrain models (2 and 1 m spatial resolution), very high resolution optical satellite images (Pleiades-1A with 0.5 m resolution) and homogenized in a Geographic Information System (GIS). This geodatabase represents a fundamental tool for susceptibility, hazard and risk assessment/management activities to be performed in the Antananarivo hill area for a proper management of its cultural and historical heritages.</p>

scholarly journals Taphonomies of landscape: investigating the immediate environs of Çatalhöyük from prehistory to the present

2018 ◽  
Vol 68 ◽  
pp. 177-207
Author(s):  
Mark P.C. Jackson ◽  
Sophie V. Moore
Keyword(s):  
Remote Sensing ◽  
Survey Data ◽  
Present Status ◽  
Field Survey ◽  
World Heritage ◽  
World Heritage Site ◽  
Unesco World Heritage ◽  
Process Of Change ◽  
Heritage Site ◽  
Unesco World Heritage Site

AbstractThe landscape immediately surrounding the site of Çatalhöyük preserves topographic and ceramic evidence dating from prehistoric times to the present day. This article presents the results of a programme of investigation of the landscape conducted through analysis of remote-sensing, map and field-survey data, with particular emphasis on the first and second millennia AD. The concept of taphonomy, usually defined in archaeology as the process of change after deposition, is applied to the transformation of the settled landscape from its Neolithic origins to its present status as a UNESCO World Heritage Site. Taphonomy serves as a linking concept as we explore how past landscapes are mobilised and translated into the ever-changing present.

Monitoring vegetation dynamics in East Rennell Island World Heritage Site using multi-sensor and multi-temporal remote sensing data

2018 ◽  
Vol 13 (3) ◽  
pp. 393-409 ◽  
Author(s):  
Mengmeng Wang ◽  
Guojin He ◽  
Natarajan Ishwaran ◽  
Tianhua Hong ◽  
Andy Bell ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Vegetation Dynamics ◽  
Remote Sensing Data ◽  
World Heritage ◽  
World Heritage Site ◽  
Sensing Data ◽  
Heritage Site ◽  
Multi Temporal

Assessment of the national market demand for high-resolution remote sensing data

2002 ◽  
Vol 8 (1) ◽  
pp. 15-22
Author(s):  
V.N. Astapenko ◽  
◽  
Ye.I. Bushuev ◽  
V.P. Zubko ◽  
V.I. Ivanov ◽  
...  
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Remote Sensing Data ◽  
Market Demand ◽  
Sensing Data ◽  
National Market

INHERITING THE CITY: HISTORIC URBAN LANDSCAPE OF GEORGE TOWN UNESCO WORLD HERITAGE SITE

2018 ◽  
Vol 16 (5) ◽  
Author(s):  
Rohayah Che Amat
Keyword(s):  
Local Community ◽  
Urban Landscape ◽  
World Heritage ◽  
World Heritage Site ◽  
Unesco World Heritage ◽  
Landscape Values ◽  
Heritage Site ◽  
Unesco World Heritage Site ◽  
Community Evaluation ◽  
George Town

This research presents the value of historic urban landscape (HUL) elements in influencing the character of George Town UNESCO World Heritage Site (WHS), Penang, Malaysia. The values were perceived by the local community of different social-cultural groups that occupied the study area. The historic urban landscape elements constitute towards the protection of its townscape. The identification of the heritage elements influenced by the community interaction with their environment. This study also helps to define the character of a place, as well as reflecting its historical significance. The study adopted four techniques to gather both qualitative and quantitative data, including questionnaire survey, in-depth interview, visual survey and content analysis. In general, the local community has the capability in valuing the historic urban landscape values. The outcomes of their perceptions became the statement of the historic urban landscape values, which are expected to lead to the development of the areas. The community evaluation and perception can be expanded in implementing any development of the historic urban area by the authority.

scholarly journals The Wadden Sea as a National Park and UNESCO World Heritage Site: Students’ Word Associations with These Two Conservation Designations

2021 ◽  
Vol 13 (14) ◽  
pp. 8006
Author(s):  
Till Schmäing ◽  
Norbert Grotjohann
Keyword(s):  
National Parks ◽  
National Park ◽  
Wadden Sea ◽  
World Heritage ◽  
World Heritage Site ◽  
Unesco World Heritage ◽  
Word Associations ◽  
Heritage Site ◽  
Unesco World Heritage Site ◽  
Significant Difference

The Wadden Sea ecosystem is unique in many respects from a biological perspective. This is one reason why it is protected by national parks in Germany and by its designation as a UNESCO World Heritage Site. In biology didactics, there are only a few studies that focus on the Wadden Sea. This work investigates students’ word associations with the two stimulus words “national park” and “UNESCO World Heritage Site”. The survey was conducted among students living directly at the Wadden Sea and among students from the inland. The analysis of the identified associations (n = 8345) was carried out within the framework of a quantitative content analysis to be able to present and discuss the results on a group level. A statistically significant difference was found between the two groups. Overall, results showed that the students made subject-related associations as well as a large number of associations to both stimulus words that could be judged as non-subject-related. In some cases, a connection with the region of residence could be found, but this was not generally the case. Even students’ immediate residential proximity to the Wadden Sea is no guarantee that they have knowledge of the two considered protection terms.

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.

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