scholarly journals USE OF SPACE AND INFORMATION TECHNOLOGIES IN EXCURSION AND TOURISTIC ACTIVITY

2018 ◽  
pp. 79-83
Author(s):  
V. Vyshnevskyi
Keyword(s):  
Traffic Congestion ◽  
Information Technologies ◽  
Satellite Images ◽  
Road Traffic ◽  
European Space Agency ◽  
Google Earth ◽  
Tourism Industry ◽  
Ecological State ◽  
Space Agency ◽  
Volumetric Images

A large number of opportunities that are connected with achievements in space and information technologies can be used in excursion and tourist activity. The most significant among those are: visualization of territory in high quality, possibility to compare satellite images taken in different time period, designing of volumetric images, panoramic review of objects, opportunity to detect someone’s location via GPS, determination of road traffic, visualization of processes in the atmosphere, assessment of ecological state on certain area etc. The information about remote sensing and sources of satellite images, in particular, are given. This data can be found in the Google Earth program, Bing Maps, Yandex. In addition, satellite images can be found on the websites of the US Geological Service and the European Space Agency. Landsat and Sentinel satellites make the most prevalent images. Quite useful options of Google Earth program are “Search” and “Create routes” as first helps to find the objects on the surface of Earth and second to create the route from one point to another. The essence of STRM mission is analyzed. This information can be applied using Global Mapper program. It gives the possibility to create volumetric images of relief which are more realistic than geographical maps. The essence of GPS is described. This system gives the opportunity to fix on the geographic coordinates which are significant in tourism. Moreover, it allows getting similar information as to photos made on routes. Another practical program, which can be employed in excursion and tourism activity, is SAS.Planet. This platform has a functional option called Wikimapia, which helps to identify object names. Furthermore, SAS.Planet allows determining traffic congestion. This method is based on crowdsourcing. Some possible ways of ecological state assessment are described, which is also important for the tourism industry. The specific examples of how to use the resources and technologies mentioned above are depicted.

scholarly journals THE PICTURE PILE TOOL FOR RAPID IMAGE ASSESSMENT: A DEMONSTRATION USING HURRICANE MATTHEW

2018 ◽  
Vol IV-4 ◽  
pp. 27-32 ◽  
Author(s):  
O. Danylo ◽  
I. Moorthy ◽  
T. Sturn ◽  
L. See ◽  
J.-C. Laso Bayas ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Natural Disaster ◽  
Disaster Response ◽  
Satellite Images ◽  
Image Interpretation ◽  
European Space Agency ◽  
Coastal Communities ◽  
Space Agency ◽  
The Caribbean ◽  
Image Assessment

<p><strong>Abstract.</strong> In 2016, Hurricane Matthew devastated many parts of the Caribbean, in particular the country of Haiti. More than 500 people died and the damage was estimated at 1.9<span class="thinspace"></span>billion<span class="thinspace"></span>USD. At the time, the Humanitarian OpenStreetMap Team (HOT) activated their network of volunteers to create base maps of areas affected by the hurricane, in particular coastal communities in the path of the storm. To help improve HOT’s information workflow for disaster response, one strand of the Crowd4Sat project, which was funded by the European Space Agency, focussed on examining where the Picture Pile Tool, an application for rapid image interpretation and classification, could potentially contribute. Satellite images obtained from the time that Hurricane Matthew occurred were used to simulate a situation post-event, where the aim was to demonstrate how Picture Pile could be used to create a map of building damage. The aim of this paper is to present the Picture Pile tool and show the results from this simulation, which produced a crowdsourced map of damaged buildings for a selected area of Haiti in 1 week (but with increased confidence in the results over a 3 week period). A quality assessment of the results showed that the volunteers agreed with experts and the majority of individual classifications around 92<span class="thinspace"></span>% of the time, indicating that the crowd performed well in this task. The next stage will involve optimizing the workflow for the use of Picture Pile in future natural disaster situations.</p>

scholarly journals Utilization of BEAM and NEST open source toolboxes in education and research

2010 ◽  
Vol 5 ◽  
pp. 37-48
Author(s):  
Markéta Potůčková ◽  
Eva Štefanová
Keyword(s):  
Remote Sensing ◽  
Open Source ◽  
Satellite Images ◽  
European Space Agency ◽  
Radar Data ◽  
Optical Data ◽  
Basic Principles ◽  
Data Formats ◽  
Space Agency ◽  
Sar Imagery

European Space Agency (ESA) provides several open source toolboxes for visualization, processing and analyzing satellite images acquired both in optical and microwave domains. Basic ERS &amp; Envisat (A)ATSR and MERIS Toolbox (BEAM) was originally developed for easier handling ENVISAT optical data. Today this toolbox supports several raster data formats and datasets collected with other EO instruments such as MODIS, AVHRR, CHRIS/Proba. The NEXT ESA SAR Toolbox (NEST) has been created for processing radar data acquired from different satellites such as ERS 1&amp;2, ENVISAT, RADARSAT or TerraSAR X. Both toolboxes are suitable for the education of the basic principles of data processing (geometric and radiometric corrections, classification, filtering of radar data) but also for research. Possibilities for utilization of these toolboxes in remote sensing courses based on two examples of practical exercises are described. Use of the NEST toolbox is demonstrated on a research project dealing with snow cover detection from SAR imagery.

scholarly journals Analysis of Land Cover and Land Use Changes Using Sentinel-2 Images

2016 ◽  
Vol 10 (2) ◽  
pp. 161-172
Author(s):  
Nicoleta Iurist (Dumitraşcu) ◽  
Florian Stătescu ◽  
Iustina Lateş
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Satellite Images ◽  
Land Use Changes ◽  
European Space Agency ◽  
Monitoring Program ◽  
Analysis Data ◽  
New Family ◽  
Track Record ◽  
Space Agency

Abstract Earth observation and space analysis of land areas, oceanic and atmospheric phenomena is a necessity nowadays. European Space Agency (ESA) is developing a new family of satellites, called Sentinel, in order to perform the operational needs of the environmental monitoring program, Copernicus. Since 2014 until now ESA have successfully launched four satellites, which have a proven track record. This paper contains information about Sentinel constellation, features of the satellite images and also the applications of Sentinel satellite images. This paper also describes how to purchase satellite data and the software that can be used to view and analysis data are named. The aim of this paper is to analyze the changes of land cover and land use of study area, in two different periods, based on Sentinel satellite images.

Global Flood Mapper: Democratising open EO resources for flood mapping

2021 ◽  
Author(s):  
Pratyush Tripathy ◽  
Teja Malladi
Keyword(s):  
Disaster Response ◽  
Flood Hazard ◽  
European Space Agency ◽  
Google Earth ◽  
Data Availability ◽  
Anthropogenic Factors ◽  
Flood Mapping ◽  
Flood Events ◽  
Space Agency ◽  
The Impact

&lt;p&gt;Climate change has increased the frequency of flood events globally. Floods cause massive loss of life and cause the expenditure of billions of dollars. While it is important to curb floods caused by anthropogenic factors in the first place, it is equally important to reduce the impact in the aftermath of floods. The extent of past flood events is crucial for developing disaster management plans and flood hazard modelling. Due to the lack of capacity and availability of the funds with local officials, many past disasters remain unmapped and the information is just limited to total life loss and damage estimates.&lt;/p&gt;&lt;p&gt;Satellite data has been widely hailed as an alternative to drone and aerial surveys. And recent advances in open Earth Observation (EO) data availability, for instance, the Sentinel-1 SAR data by the European Space Agency (ESA), and cloud processing platforms such as the Google Earth Engine (GEE) have opened unprecedented opportunities for using EO data for hazard and disaster response efforts. Recent literature in the field of EO is witnessing an increasing number of the Sentinel-1 and GEE combination for flood mapping.&lt;/p&gt;&lt;p&gt;In the present work, we demonstrate the utility of a recently developed tool, the Global Flood Mapper (GFM), which is an open GEE application for rapid mapping of flood inundation extent using Sentinel-1 data. GFM uses a pre-flood time period to analyse numerous Sentinel-1 scenes of the same study area, this accounts for seasonal variation and has lesser noise as compared to other methods that use just one pre-flood scene. We map a couple of flood events across the globe to demonstrate the scalability and ease of using GFM. In addition, we analyse the flood hazard vulnerability of the state of Bihar in India using flood extent for the year 2018, 2019 and 2020 by delineating frequently flooding areas. This showcases yet another crucial utility of the GFM tool. GFM can support the flood extent mapping of the past events in addition to the rapid flood mapping of the current events, that could aid researchers and disaster managers for better flood preparedness and response.&amp;#160;&lt;/p&gt;&lt;p&gt;We access GFM through the link available on this public repository: https://github.com/PratyushTripathy/global_flood_mapper&lt;/p&gt;

scholarly journals SEN12MS &ndash; A CURATED DATASET OF GEOREFERENCED MULTI-SPECTRAL SENTINEL-1/2 IMAGERY FOR DEEP LEARNING AND DATA FUSION

2019 ◽  
Vol IV-2/W7 ◽  
pp. 153-160 ◽  
Author(s):  
M. Schmitt ◽  
L. H. Hughes ◽  
C. Qiu ◽  
X. X. Zhu
Keyword(s):  
Deep Learning ◽  
Land Cover ◽  
Large Scale ◽  
European Space Agency ◽  
Semantic Segmentation ◽  
Google Earth ◽  
Training Data ◽  
Space Agency ◽  
Image Patches ◽  
Spatial Coverage

<p><strong>Abstract.</strong> The availability of curated large-scale training data is a crucial factor for the development of well-generalizing deep learning methods for the extraction of geoinformation from multi-sensor remote sensing imagery. While quite some datasets have already been published by the community, most of them suffer from rather strong limitations, e.g. regarding spatial coverage, diversity or simply number of available samples. Exploiting the freely available data acquired by the Sentinel satellites of the Copernicus program implemented by the European Space Agency, as well as the cloud computing facilities of Google Earth Engine, we provide a dataset consisting of 180,662 triplets of dual-pol synthetic aperture radar (SAR) image patches, multi-spectral Sentinel-2 image patches, and MODIS land cover maps. With all patches being fully georeferenced at a 10&amp;thinsp;m ground sampling distance and covering all inhabited continents during all meteorological seasons, we expect the dataset to support the community in developing sophisticated deep learning-based approaches for common tasks such as scene classification or semantic segmentation for land cover mapping.</p>

Community Development and Role of Tourism: A Case Study of Tourist Destination Manali in Himachal Pradesh (India)

2016 ◽  
Vol 2 (1) ◽  
Author(s):  
Sunil
Keyword(s):  
Traffic Congestion ◽  
Local Community ◽  
Negative Impact ◽  
Himachal Pradesh ◽  
Tourism Industry ◽  
Cultural Development ◽  
Infrastructure Development ◽  
Tourism Sector ◽  
The Government ◽  
Agriculture Products

Tourism sector has a significant role in the economic development of our country. Tourism sector has contributed 6.88 percent to the GDP and has 12.36 percent share in employment (direct and indirect) in the year 2014. It has also a significant share in foreign exchange earnings. The benefit of tourism mostly goes to the local community (Sonya & Jacqueline, Mansour E. Zaei & Mahin E. Zaei, 2013). In this paper, an attempt has been made to assess how the tourism industry has created an opportunity for the economic, political, social and cultural development of the local community at Manali in Himachal Pradesh (India) and also tried to study the problems that are associated with the tourism in the region. The study found that the tourism industry has been extending its contribution for the development of local community at Manali. It has been providing employment, business and investment opportunities, revenue generation for the government, encouraging the community to promote and preserve its art, culture and heritage, raising the demand of agriculture products, provided opportunities for local people to run and work in the transport business and by promoting MSMEs in the region. Besides the opportunities, the tourism industry has also added many problems to the local community. Traffic congestion, increase in water and air pollution, solid waste generation, degradation of the cultural heritage, ecological imbalances, rise in cost of living, increase in crime, noise and environment pollution, migration of people to the region, negative impact on local culture, and extra pressure on civic services during the tourists season, are the problems associated with the tourism. The study suggest that effective management of natural resources, dissemination of environment protection information, involvement of local community in decision making, professionalization in the working of local administration, extending the support of government in sponsoring the events, infrastructure development, tracking records of migrants with the help of local community to curb the crime rate, promotion and preservation of art, culture and heritage, involvement of NGOs, compliance of the rules can make tourism more beneficial in the development of local community.

scholarly journals Detailed Modeling of Cork-Phenolic Ablators in Preparation for the Post-flight Analysis of the QARMAN Re-entry CubeSat

2021 ◽  
Author(s):  
Claudio Miccoli ◽  
Alessandro Turchi ◽  
Pierre Schrooyen ◽  
Domenic D’Ambrosio ◽  
Thierry Magin
Keyword(s):  
Fluid Dynamics ◽  
Thermal Protection ◽  
A Priori ◽  
European Space Agency ◽  
Thermal Response ◽  
Accurate Method ◽  
Navier Stokes ◽  
Advection Equation ◽  
High Enthalpy ◽  
Space Agency

AbstractThis work deals with the analysis of the cork P50, an ablative thermal protection material (TPM) used for the heat shield of the qarman Re-entry CubeSat. Developed for the European Space Agency (ESA) at the von Karman Institute (VKI) for Fluid Dynamics, qarman is a scientific demonstrator for Aerothermodynamic Research. The ability to model and predict the atypical behavior of the new cork-based materials is considered a critical research topic. Therefore, this work is motivated by the need to develop a numerical model able to respond to this demand, in preparation to the post-flight analysis of qarman. This study is focused on the main thermal response phenomena of the cork P50: pyrolysis and swelling. Pyrolysis was analyzed by means of the multi-physics Computational Fluid Dynamics (CFD) code argo, developed at Cenaero. Based on a unified flow-material solver, the Volume Averaged Navier–Stokes (VANS) equations were numerically solved to describe the interaction between a multi-species high enthalpy flow and a reactive porous medium, by means of a high-order Discontinuous Galerkin Method (DGM). Specifically, an accurate method to compute the pyrolysis production rate was implemented. The modeling of swelling was the most ambitious task, requiring the development of a physical model accounting for this phenomenon, for the purpose of a future implementation within argo. A 1D model was proposed, mainly based on an a priori assumption on the swelling velocity and the resolution of a nonlinear advection equation, by means of a Finite Difference Method (FDM). Once developed, the model was successfully tested through a matlab code, showing that the approach is promising and thus opening the way to further developments.

scholarly journals Applicability of NGGM near-real time simulations in flood detection

2019 ◽  
Vol 9 (1) ◽  
pp. 111-126
Author(s):  
A. F. Purkhauser ◽  
J. A. Koch ◽  
R. Pail
Keyword(s):  
European Space Agency ◽  
Earth System ◽  
The Earth ◽  
Future Mission ◽  
Space Agency ◽  
Flood Detection ◽  
The One ◽  
Real Time Simulations ◽  
Grace Mission ◽  
Gravity Mission

Abstract The GRACE mission has demonstrated a tremendous potential for observing mass changes in the Earth system from space for climate research and the observation of climate change. Future mission should on the one hand extend the already existing time series and also provide higher spatial and temporal resolution that is required to fulfil all needs placed on a future mission. To analyse the applicability of such a Next Generation Gravity Mission (NGGM) concept regarding hydrological applications, two GRACE-FO-type pairs in Bender formation are analysed. The numerical closed loop simulations with a realistic noise assumption are based on the short arc approach and make use of the Wiese approach, enabling a self-de-aliasing of high-frequency atmospheric and oceanic signals, and a NRT approach for a short latency. Numerical simulations for future gravity mission concepts are based on geophysical models, representing the time-variable gravity field. First tests regarding the usability of the hydrology component contained in the Earth System Model (ESM) by the European Space Agency (ESA) for the analysis regarding a possible flood monitoring and detection showed a clear signal in a third of the analysed flood cases. Our analysis of selected cases found that detection of floods was clearly possible with the reconstructed AOHIS/HIS signal in 20% of the tested examples, while in 40% of the cases a peak was visible but not clearly recognisable.

scholarly journals Prisma: A New Space Mission For Stellar Physics

1993 ◽  
Vol 137 ◽  
pp. 812-819
Author(s):  
T. Appourchaux ◽  
D. Gough ◽  
P. Hyoyng ◽  
C. Catala ◽  
S. Frandsen ◽  
...  
Keyword(s):  
European Space Agency ◽  
Real Space ◽  
Space Mission ◽  
Economic Conditions ◽  
X Ray ◽  
Space Agency ◽  
New Space

PRISMA (Probing Rotation and Interior of Stars: Microvariability and Activity) is a new space mission of the European Space Agency. PRISMA is currently in a Phase A study with 3 other competitors. PRISMA is the only ESA-only mission amongst those four and only one mission will be selected in Spring 1993 to become a real space mission.The goal of the Phase A study is to determine whether the payload of PRISMA can be accommodated on a second unit of the X-ray Multi-Mirror (XMM) bus; and whether the budget of the PRISMA mission can be kept below 265 MAU (’88 Economic conditions). The XMM mission is an approved cornerstone and is in a Phase A together with PRISMA.

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