Heterogeneous sensor database framework for the sensor observation service: integrating remote and in-situ sensor observations at the database backend

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.Environmental monitoring and management systems in most cases deal with models and spatial analytics that involve the integration of in-situ and remote sensor observations. In-situ sensor observations and those gathered by remote sensors are usually provided by different databases and services in real-time dynamic service systems like the Geo-Web Services. Thus, data have to be pulled from different databases and transferred over the web before they are fused and processed on the service middleware. This process is very massive and unnecessary communication and work load on the service, especially when retrieving massive raster coverage data. Thus in this research, we propose a database model for heterogeneous sensortypes that enables geo-scientific processing and spatial analytics involving remote and in-situ sensor observations at the database level of the Sensor Observation Service, SOS. This approach would be used to reduce communication and massive workload on the Geospatial Web Service, as well make query request from the user end a lot more flexible. Hence the challenging task is to develop a heterogeneous sensor database model that enables geoprocessing and spatial analytics at the database level and how this could be integrated with the geo-web services to reduce communication and workload on the service and as well make query request from the client end more flexible through the use of SQL statements

Modelling Heteregeneous and Distributed Spatial Datasets in an Update Context

Pages de la publication : CDRom.International audienceThe update of distributed geographic data still poses many problems due essentially to the data's specific characteristics (spatial constituent, topology, for example). We propose a metadata model to aid in the management of different actors located at several sites handling heterogeneous data that are regularly updated. This model is based on the ISO 19115 standard, which is the metadata standard for geographic information

Hazard Rating of Parks Trees and Establishment of Adopt-A-Tree Program, Nacogdoches, Texas

The purpose of this project is to inventory parks and recreation trees in the city of Nacogdoches, Texas, using a Trimble Pro XRS GPS unit to establish location; and to construct a geographic information system (GIS) database for forest health that can be updated as forest health conditions change in the future. Tree health data collected will include structure of the main bole and branches; insect and disease pests; life expectancy; and shape of the crown and cultural history. An Adopt-a-Tree program, developed in the Arthur Temple College of Forestry at Stephen F. Austin State University, will be established to document planting and maintenance of the urban forest. Each tree planted will have the person planting the tree, a digital picture and the tree species entered into a GIS database for later retrieval, spatial analysis and visual/map display. The project follows the constructs of landscape ecology for documenting structure, function and change of the urban forest

Landuse and Landcover Classification for Independence, Union, Bradley and Cleveland Counties of Arkansas

Landuse/landcover (LULC} is a function of natural factors such as soils, climate and water and of anthropogenic factors such as predominant use. In Arkansas, the primary use of the land varies depending on the physiographic region. For example, in the Mississippi Delta region of eastern Arkansas row crop agriculture predominates, whereas in the Gulf Coastal Plains forestry dominates. In both regions LULC is spatially and temporally . variable. Knowledge of LULC can be used in estimating the potential for agricultural production, locations of critical ecological areas, siting of homes, small businesses, industries, roads and landfills as well as source areas of pollution

Remote Sensing and GIS for water district management: the Caia network case study

The development of irrigation technologies related with the different areas covered by irrigated crops in Portugal as well as in the Southern countries of the EU taking into account the relative importance of Agriculture, in what concerns the integration, Water Framework directive and the Eco-compatibility principles requires the capability for the management of big amount of spatial data, a detailed knowledge of their structure and links, the improvement and development of GIS skills at Local, Regional or National scale, integrating remote sensing data on different systems, allowing a better water use, allowing a better knowledge of spatial and temporal distribution of land Use, Soil Types, Crop Water requirements, water distribution network and a more rational management of the available water resource. The application of the GIS to the areas covered by the different Water Districts Management Boards, spread all over the country, gives the possibility for a better use of water for agriculture, on the frame of programs like the EU INTERREG II C Program.info:eu-repo/semantics/publishedVersio

USER INTERFACE - A PROCEDURE FOR A RASTER-BASED GIS SOFTWARE

The author developed a program system named TERINFO which has already been used in practical education of the students for two years. This program system will be described in an other article. This study describes how it is possible to form a user interface for a raster-based educational GIS software. It also describes a versatile raster-based operational process that the author has developed. Finally, concludes that ease of use and manipulation, flexible data input and well arranged open building are all very important factors in realization of an educational program package

Geometric analysis on stone façades with terrestrial laser scanner technology

Licensee MDPI, Basel, Switzerland. This article presents a methodology to process information from a Terrestrial Laser Scanner (TLS) from three dimensions (3D) to two dimensions (2D), and to two dimensions with a color value (2.5D), as a tool to document and analyze heritage buildings. Principally focused on the loss of material in stone, this study aims at creating an evaluation method for loss control, taking into account the state of conservation of a building in terms of restoration, from studying the pathologies, to their identification and delimitation. A case study on the Cathedral of the Seu Vella de Lleida was completed, examining the details of the stone surfaces. This cathedral was affected by military use, periods of abandonment, and periodic restorations.Postprint (published version

Multi-criteria spatial analysis with machine learning algorithm : an application in the South of Brazil

This paper explores a multicriteria spatial analysis methodology with a machine learning algorithm, the Classification Tree Analysis (CTA) within Idrisi GIS, to classify and identify homogeneous regions. The proposed approach is tested in a case study carried out in the South of Brazil. All the municipalities were classified and grouped within areas according to similar condition of urban preponderance in socioeconomic and environmental indicators. The results are evaluated and compared with two other methodologies previously implement by the authors: (a) a ranking of municipality through an aggregate index; and (b) using Kohonen´s Self-Organizing Map (SOM) as an unsupervised classifier. The identification of similar areas with analogous socioeconomic and environmental characteristics is important to the development of regional and municipal common sustainable strategies and advances in municipality partnerships

Research Regarding the Soil Characteristics and their Influence on Forest Productivity in the Mociar Forest, Mureş County

The Mociar Forest Reserve has a great scientific interest due to the age of the oaks ranging from 400-500 years, which is why it is included in the protected area category. Over time, a series of studies have been carried out on the occurrence of the oak drying phenomenon in the Mociar Forest in order to develop plans for measures to prevent and combat oak drying. The main reason for this was to analyze the physical and chemical properties of soils. Considering the direct influence of soil characteristics on the development of forest species within the Mociar Forest, we proposed the creation of nine soil profiles located in areas considered representative of the studied area and the identification of the main physical and chemical parameters in the laboratory stage (the soil pH, the nitrogen amount, the total humus and C:N ratio variation). According to the four factors analysed a GIS spatial analysis model has been developed in order to identify the favourability and soil restriction for forest species in the studied area. It was also sought to obtain an overall picture of the distribution of these parameters on their qualitative classes as well as on the distribution classes of specific, dominant forest species. This was made possible by the use of G.I.S. technology and specific geospatial interpolation and spatial analysis tools