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Tytuł artykułu

A WebGIS framework for disseminating processed remotely sensed on land cover transformations

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Mediterranean regions have experienced significant soil degradation over the past decades. In this context, careful land observation using satellite data is crucial for understanding the long-term usage patterns of natural resources and facilitating their sustainable management to monitor and evaluate the potential degradation. Given the environmental and political interest on this problem, there is urgent need for a centralized repository and mechanism to share geospatial data, information and maps of land change. Geospatial data collecting is one of the most important task for many users because there are significant barriers in accessing and using data. This limit could be overcome by implementing a WebGIS through a combination of existing free and open source software for geographic information systems (FOSS4G). In this paper we preliminary discuss methods for collecting raster data in a geodatabase by processing open multi-temporal and multi-scale satellite data aimed at retrieving indicators for land degradation phenomenon (i.e. land cover/land use analysis, vegetation indices, trend analysis, etc.). Then we describe a methodology for designing a WebGIS framework in order to disseminate information through maps for territory monitoring. Basic WebGIS functions were extended with the help of POSTGIS database and OpenLayers libraries. Geoserver was customized to set up and enhance the website functions developing various advanced queries using PostgreSQL and innovative tools to carry out efficiently multi-layer overlay analysis. The end-product is a simple system that provides the opportunity not only to consult interactively but also download processed remote sensing data.
Rocznik
Tom
Strony
27--38
Opis fizyczny
Bibliogr. 40 poz., rys., tab.
Twórcy
autor
  • DICATECh, Politechnic of Bari, Via Orabona 4, 70125, BARI, Italy
autor
  • DICATECh, Politechnic of Bari, Via Orabona 4, 70125, BARI, Italy
autor
  • DICATECh, Politechnic of Bari, Via Orabona 4, 70125, BARI, Italy
autor
  • GeoSNav Lab, University of Trieste, p.le Europa 1, 34127, TRIESTE, Italy
autor
  • DICATECh, Politechnic of Bari, Via Orabona 4, 70125, BARI, Italy
Bibliografia
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  • [22] Muthumanickam, D., Kannan, P., Kumaraperumal, R., Natarajan, S., Sivasamy, R., & Poongodi, C. (2011). Drought assessment and monitoring through remote sensing and GIS in western tracts of Tamil Nadu, India. International journal of remote sensing, 32(18), 5157-5176.
  • [23] Orellana, F. J., Del Sagrado, J., & Del ÁGuila, I. M. (2011). SAIFA: A web-based system for Integrated Production of olive cultivation. Computers and electronics in agriculture, 78(2), 231-237.
  • [24] Perovic, V., Jaramaz, D., Zivotic, L., Cakmak, D., Mrvic, V., Milanovic, M., & Saljnikov, E. (2016). Design and implementation of WebGIS technologies in evaluation of erosion intensity in the municipality of NIS (Serbia). Environmental Earth Sciences, 75(3), 1-12.
  • [25] Sepehr, A., Hassanli, A., Ekhtesasi, M., & Jamali, J. (2007). Quantitative assessment of desertification in south of Iran using MEDALUS method. Environmental Monitoring and Assessment, 134(1-3), 243-254. Retrieved from http://link.springer.com/article/10.1007%2Fs10661-007-9613-6
  • [26] Sharma, S. A., & Mishra, S. (2012). Web-GIS based monitoring of vegetation using NDVI profiles. Journal of Geomatics, 6(2), 109-112.
  • [27] Simeoni, L., Floretta, C., & Zatelli, P. (2011). Spatial database and web-GIS for managing and validating river embankment monitoring data. In Proc. of the 8th International Symposium on Field Measurements in Geomechanics.
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  • [30] Soto-Garcia, M., Del-Amor-Saavedra, P., Martin-Gorriz, B., & Martínez-Alvarez, V. (2013). The role of information and communication technologies in the modernisation of water user associations’ management. Computers and electronics in agriculture, 98, 121-130.
  • [31] Tan, K. C., San Lim, H., MatJafri, M. Z., & Abdullah, K. (2012). A comparison of radiometric correction techniques in the evaluation of the relationship between LST and NDVI in Landsat imagery. Environmental monitoring and assessment, 184(6), 3813-3829.
  • [32] Tarantino, E., Novelli, A., Aquilino, M., Figorito, B., & Fratino, U. (2015). Comparing the MLC and JavaNNS Approaches in Classifying Multi-Temporal LANDSAT Satellite Imagery over an Ephemeral River Area. International Journal of Agricultural and Environmental Information Systems (IJAEIS), 6(4), 83-102.
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  • [36] Varghese, N., & Singh, N. P. (2016). Linkages between land use changes, desertification and human development in the Thar Desert Region of India. Land Use Policy, 51, 18-25.
  • [37] Weiers, S., Bock, M., Wissen, M., & Rossner, G. (2004). Mapping and indicator approaches for the assessment of habitats at different scales using remote sensing and GIS methods. Landscape and Urban Planning, 67(1), 43-65.
  • [38] Wheeler, D. A. (2007). Why Open Source Software/Free Software (OSS/FS)? Look at the Numbers! http://www.dwheeler.com/oss_fs_why.html.
  • [39] Zalidis, G., Stamatiadis, S., Takavakoglou, V., Eskridge, K., & Misopolinos, N. (2002). Impacts of agricultural practices on soil and water quality in the Mediterranean region and proposed assessment methodology. Agriculture, Ecosystems & Environment, 88(2), 137-146.
  • [40] Zhang, J., & Foody, G. (2001). Fully-fuzzy supervised classification of sub-urban land cover from remotely sensed imagery: statistical and artificial neural network approaches. International journal of remote sensing, 22(4), 615-628.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-df311b64-71a3-487b-b93b-280dd1cb0626
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