scholarly journals The Copernicus EMS Validation service as a vector for improving the emergency mapping based on Sentinel data

2020 ◽  
pp. 23
Author(s):  
U. Donezar-Hoyos ◽  
L. Albizua-Huarte ◽  
E. Amezketa-Lizarraga ◽  
I. Barinagarrementeria-Arrese ◽  
R. Ciriza ◽  
...  

<p class="p1">The Copernicus Emergency Management Service (CEMS) is coordinated by the European Commission and “provides all actors involved in the management of natural disasters, man-made emergency situations, and humanitarian crises with timely and accurate geo-spatial information derived from satellite remote sensing and complemented by available in situ or open data sources”. It includes two components, Early Warning and Monitoring and Mapping. The latter provides on demand geo-spatial information derived from satellite imagery during all phases of the disaster management cycle. It includes 3 systems, Rapid Mapping (RM), Risk and Recovery Mapping (RRM), and a Validation Service. RM provides geospatial information immediately after a disaster to assess its impact; RRM in the prevention, preparation and reconstruction phases; and the Validation Service is in charge of validating and verifying the products generated by both, and of collecting and analyzing users’ feedback. The wide spectrum of activities framed in the Validation Service has allowed it to become a vector to improve the Mapping component through the testing of new methodologies, data input type, or approach for the creation of emergency cartography in the frame of the CEMS. The present paper introduces the main investigation lines based on Sentinel-1 and 2 for flood and fire monitoring that could be implemented in the CEMS services taking into consideration the characteristics of the Mapping component in terms of products to create and time constraints. The applicability of Sentinel-1 for flood monitoring based on the backscattering, the MultiTemporal Coherence (MTC), and dual polarization; and for burnt area delineation based on MTC was studied, while Sentinel-2 was used for burnt area delineation based on vegetation indices. Results indicate that proposed methodologies might be appropriate for the creation of crisis information products in large areas, due to the relative easy and fast implementation compared to classic photo interpretation, although further applicability analyses should be carried out.</p>

Facilities ◽  
2017 ◽  
Vol 35 (9/10) ◽  
pp. 543-556 ◽  
Author(s):  
Rita Henriikka Lavikka ◽  
Teemu Lehtinen ◽  
Daniel Hall

Purpose This study aims to increase understanding about the co-creation of digital facilities management (FM) services with and for FM during a construction project. Design/methodology/approach The paper reports a case study on the co-creation of a digital facilities management service during the Mission Bay medical center construction project for the University of California, San Francisco. The sub-contractors and the FM team co-created a quick-response (QR) code system for valves on the project. This digital service is now used by the FM team for training purposes and in emergency situations when information on valves and their service areas is quickly needed. Researchers made on-site observations, conducted 84 interviews and reviewed archival data in 2012, 2014 and 2016. Findings The findings show that a successful co-creation process consists of three elements: a dialogue between the project parties, the creation of shared context between the project parties and the creation of shared understanding about the FM’s needs and the service providers’ ways of satisfying those needs. The study describes ways to promote these elements. Originality/value Previous studies emphasize the need for digital FM but few explain how FM teams can be involved in creating digital services for them. This paper describes how to co-create digital FM services with and for FM in the context of a construction project.


2019 ◽  
Vol 1 ◽  
pp. 1-1
Author(s):  
Yoshiharu Nishioka

<p><strong>Abstract.</strong> The purpose of this research is to provide an environment for children to learn about Japan's topography. In recent years, games have been attracting attention as tools for active learning, which has been a departure from conventional knowledge acquisition bias education. I focused on 3D sandbox game called Minecraft (Mojang/Microsoft) which is popular among children. In Minecraft, players can freely move in the 3D world and create buildings. Minecraft can reproduce 3D topography and simulate it, so it has high potential as a geography and geology education.</p><p>I have created 1/30 scale of Japanese terrain model for Minecraft Java 1.12.2. The created data can be downloaded and used freely. The usage method is simple, it only copies it to the prescribed directory of the environment where Minecraft was installed.</p><p>For the elevation data necessary for model creation, I use the elevation tile released by the Geospatial Information Authority of Japan as open Data. This elevation tile covers the whole of Japan with 10m mesh accuracy. This elevation tile is an application of the tiled map image often used in Web maps to data representation. I call such a data set “Data Tile Map”. Each pixel holds the elevation as a signed integer in cm units, using 24-bit RGB values.</p><p>The creation program is written in JavaScript and can be executed in an environment with a web browser. With the creation program you can change the output resolution (zoom level) and vertical direction exaggeration ratio. In the future, I plan to add functions to correspond to the terrain of the world and create data by specifying the area.</p>


Agronomy ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 952
Author(s):  
Lia Duarte ◽  
Ana Cláudia Teodoro ◽  
Joaquim J. Sousa ◽  
Luís Pádua

In a precision agriculture context, the amount of geospatial data available can be difficult to interpret in order to understand the crop variability within a given terrain parcel, raising the need for specific tools for data processing and analysis. This is the case for data acquired from Unmanned Aerial Vehicles (UAV), in which the high spatial resolution along with data from several spectral wavelengths makes data interpretation a complex process regarding vegetation monitoring. Vegetation Indices (VIs) are usually computed, helping in the vegetation monitoring process. However, a crop plot is generally composed of several non-crop elements, which can bias the data analysis and interpretation. By discarding non-crop data, it is possible to compute the vigour distribution for a specific crop within the area under analysis. This article presents QVigourMaps, a new open source application developed to generate useful outputs for precision agriculture purposes. The application was developed in the form of a QGIS plugin, allowing the creation of vigour maps, vegetation distribution maps and prescription maps based on the combination of different VIs and height information. Multi-temporal data from a vineyard plot and a maize field were used as case studies in order to demonstrate the potential and effectiveness of the QVigourMaps tool. The presented application can contribute to making the right management decisions by providing indicators of crop variability, and the outcomes can be used in the field to apply site-specific treatments according to the levels of vigour.


2021 ◽  
Vol 10 (1) ◽  
pp. 30
Author(s):  
Alfonso Quarati ◽  
Monica De Martino ◽  
Sergio Rosim

The Open Government Data portals (OGD), thanks to the presence of thousands of geo-referenced datasets, containing spatial information are of extreme interest for any analysis or process relating to the territory. For this to happen, users must be enabled to access these datasets and reuse them. An element often considered as hindering the full dissemination of OGD data is the quality of their metadata. Starting from an experimental investigation conducted on over 160,000 geospatial datasets belonging to six national and international OGD portals, this work has as its first objective to provide an overview of the usage of these portals measured in terms of datasets views and downloads. Furthermore, to assess the possible influence of the quality of the metadata on the use of geospatial datasets, an assessment of the metadata for each dataset was carried out, and the correlation between these two variables was measured. The results obtained showed a significant underutilization of geospatial datasets and a generally poor quality of their metadata. In addition, a weak correlation was found between the use and quality of the metadata, not such as to assert with certainty that the latter is a determining factor of the former.


Author(s):  
Di Xian ◽  
Peng Zhang ◽  
Ling Gao ◽  
Ruijing Sun ◽  
Haizhen Zhang ◽  
...  

AbstractFollowing the progress of satellite data assimilation in the 1990s, the combination of meteorological satellites and numerical models has changed the way scientists understand the earth. With the evolution of numerical weather prediction models and earth system models, meteorological satellites will play a more important role in earth sciences in the future. As part of the space-based infrastructure, the Fengyun (FY) meteorological satellites have contributed to earth science sustainability studies through an open data policy and stable data quality since the first launch of the FY-1A satellite in 1988. The capability of earth system monitoring was greatly enhanced after the second-generation polar orbiting FY-3 satellites and geostationary orbiting FY-4 satellites were developed. Meanwhile, the quality of the products generated from the FY-3 and FY-4 satellites is comparable to the well-known MODIS products. FY satellite data has been utilized broadly in weather forecasting, climate and climate change investigations, environmental disaster monitoring, etc. This article reviews the instruments mounted on the FY satellites. Sensor-dependent level 1 products (radiance data) and inversion algorithm-dependent level 2 products (geophysical parameters) are introduced. As an example, some typical geophysical parameters, such as wildfires, lightning, vegetation indices, aerosol products, soil moisture, and precipitation estimation have been demonstrated and validated by in-situ observations and other well-known satellite products. To help users access the FY products, a set of data sharing systems has been developed and operated. The newly developed data sharing system based on cloud technology has been illustrated to improve the efficiency of data delivery.


Author(s):  
T. Kliment ◽  
V. Cetl ◽  
H. Tomič ◽  
J. Lisiak ◽  
M. Kliment

Nowadays, the availability of authoritative geospatial features of various data themes is becoming wider on global, regional and national levels. The reason is existence of legislative frameworks for public sector information and related spatial data infrastructure implementations, emergence of support for initiatives as open data, big data ensuring that online geospatial information are made available to digital single market, entrepreneurs and public bodies on both national and local level. However, the availability of authoritative reference spatial data linking the geographic representation of the properties and their owners are still missing in an appropriate quantity and quality level, even though this data represent fundamental input for local governments regarding the register of buildings used for property tax calculations, identification of illegal buildings, etc. We propose a methodology to improve this situation by applying the principles of participatory GIS and VGI used to collect observations, update authoritative datasets and verify the newly developed datasets of areas of buildings used to calculate property tax rates issued to their owners. The case study was performed within the district of the City of Požega in eastern Croatia in the summer 2015 and resulted in a total number of 16072 updated and newly identified objects made available online for quality verification by citizens using open source geospatial technologies.


Author(s):  
M. Corongiu ◽  
A. Masiero ◽  
G. Tucci

Abstract. Nowadays, mobile mapping systems are widely used to quickly collect reliable geospatial information of relatively large areas: thanks to such characteristics, the number of applications and fields exploiting their usage is continuously increasing. Among such possible applications, mobile mapping systems have been recently considered also by railway system managers to quickly produce and update a database of the geospatial features of such system, also called assets. Despite several vehicles, devices and acquisition methods can be considered for the data collection of the railway system, the predominant one is probably that based on the use of a mobile mapping system mounted on a train, which moves all along the railway tracks, enabling the 3D reproduction of the entire railway track area.Given the large amount of data collected by such mobile mapping, automatic procedures have to be used to speed up the process of extracting the spatial information of interest, i.e. assets positions and characteristics.This paper considers the problem of extracting such information for what concerns cantilever and portal masts, by exploiting a mixed approach. First, a set of candidate areas are extracted and pre-processed by considering certain of their geometric characteristics, mainly extracted by using eigenvalues of the covariance matrix of a point neighborhood. Then, a 3D modified Fisher vector-deep learning neural net is used to classify the candidates. Tests on such approach are conducted in two areas of the Italian railway system.


Author(s):  
R. Sossa

The basic principles and current state of topographic mapping of the territory of Ukraine are considered. Prior to the proclamation of Ukraine's independence, its territory was covered by topographic maps in the scale of 1:10 000 to 1: 1 000 000, created by the Main Department of Geodesy and Cartography under the USSR Council of Ministers and the Military Topographic Service of the USSR Armed Forces. The interaction of these departments in topographic mapping is highlighted. The topographic study of Ukrainian territory as of 1991 is analyzed in detail. Today the content of most topographic maps of scales from 1:10 000 to 1: 200 000 is characterized by "aging" of information and does not correspond to the current state of the area. The unsatisfactory state of topographic study of the territory led to the unclaimed topographic maps with much outdated information for consumers, and for the military it very difficult to perform combat tasks. The needs of current topographic information users require a significant improvement in topographic maps content. Since the mid-1990s, the creation of national geospatial data infrastructures has become crucial for providing spatial information to the state and society. The basic principles and general requirements for the creation and updating of state topographic maps are now defined by the "Procedure for national topographic and thematic mapping" (2013). The adoption of the Law of Ukraine "On the National Infrastructure of Geospatial Data", giving a powerful impetus to topographic mapping, poses a responsible task of organizational and regulatory and technical support of this process. The issue of obtaining topographic maps from the topographic database requires scientific and technical elaboration, development of appropriate normative and technical documents (guides, principles, instructions, symbols, etc.).


2021 ◽  
Vol 971 (5) ◽  
pp. 23-38
Author(s):  
N.Yu. Kurepina ◽  
I.D. Rybkina

In the paper, the use of cartographic research method for the analysis and generalization of materials describing extreme events associated with rarely recurring high water and flooding in river basins of the Upper Ob is proposed. Basing on statistical data obtained from municipalities of the adjacent regions (Altai Krai, Republic of Altai, Kemerovo, Novosibirsk and Tomsk oblasts), including the information provided by territorial bodies of the RF Emergency Situations Ministry, we created a database for assessing actual and probable damage to population and economy of the study territories. Actual damage is generalized and analyzed in the context of river basins and municipalities of the entities, i.e. subjects of the Russian Federation. In order to assess probable damage, cartographic sources, including open data from the Internet as well as modern software tools were involved. The estimation of probable damage to population and economic objects was performed by the example of settlements (including those suffered from extreme flooding of 2014) located in the Charysh basin (Altai Krai). For that GIS projects and a series of damage evaluation maps were created. River basins of the Upper Ob regions were ranked according to recurrence frequency of extreme events and the extent of actual damage to population and economy there in 2004–2018. On the basis of these results, recommendations to prevent emergencies caused by the negative impact of water were developed.


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