Zacytuj

Balacco, G., Figorito, B., Tarantino, E., Gioia, A., & Iacobellis, V. (2015). Space-time LAI variability in Northern Puglia (Italy) from SPOT VGT data. Environmental Monitoring and Assessment, 187(7), 1-15.10.1007/s10661-015-4603-6446909726077022Search in Google Scholar

Bank, W. (2003). Sustainable Development in a Dynamic World: Transforming Institutions, Growth, and Quality of Life: Oxford University Press.Search in Google Scholar

Brandt, C. J., & Thornes, J. B. (1996). Mediterranean desertification and land use: John Wiley & Sons Ltd.Search in Google Scholar

Caradonna, G., Figorito, B., & Tarantino, E. (2015). Sharing Environmental Geospatial Data Through an Open Source WebGIS. In Computational Science and Its Applications--ICCSA 2015 (pp. 556-565). Springer International Publishing.10.1007/978-3-319-21470-2_40Search in Google Scholar

Chang, G., & Caneday, L. (2012). Web-Based GIS in Tourism Information Search: An analysis of the effect of socioeconomic characteristics on perception and behavior. Loisir et Société/Society and Leisure, 35(1), 155-174.10.1080/07053436.2012.10707839Search in Google Scholar

Chen, W., Sakai, T., Moriya, K., Koyama, L., & Cao, C. (2013). Estimation of vegetation coverage in semi-arid sandy land based on multivariate statistical modeling using remote sensing data. Environmental Modeling & Assessment, 18(5), 547-558.10.1007/s10666-013-9359-1Search in Google Scholar

Coscarelli, R., Caloiero, T., Minervino, I., & Sorriso-Valvo, M. (2015). Sensitivity to desertification of a high productivity area in Southern Italy. Journal of Maps, 1-9.Search in Google Scholar

Figorito, B., Mancini, F., Novelli, A., & Tarantino, E. (2014). Monitoring land cover changes at watershed scale using LANDSAT imagery. Score@Poliba.Search in Google Scholar

Han, L., Zhang, Z., Zhang, Q., & Wan, X. (2015). Desertification assessments in the Hexi corridor of northern China’s Gansu Province by remote sensing. Natural Hazards, 75(3), 2715-2731.10.1007/s11069-014-1457-0Search in Google Scholar

Harris, A., Carr, A., & Dash, J. (2014). Remote sensing of vegetation cover dynamics and resilience across southern Africa. International Journal of Applied Earth Observation and Geoinformation, 28, 131-139.10.1016/j.jag.2013.11.014Search in Google Scholar

Hu, X., & Weng, Q. (2009). Estimating impervious surfaces from medium spatial resolution imagery using the self-organizing map and multi-layer perceptron neural networks. Remote Sensing of Environment, 113(10), 2089-2102. Retrieved from http://www.sciencedirect.com/science/article/pii/S003442570900165510.1016/j.rse.2009.05.014Search in Google Scholar

Im, J., Jensen, J. R., Jensen, R. R., Gladden, J., Waugh, J., & Serrato, M. (2012). Vegetation cover analysis of hazardous waste sites in Utah and Arizona using hyperspectral remote sensing. Remote Sensing, 4(2), 327-353.10.3390/rs4020327Search in Google Scholar

Kavzoglu, T., & Mather, P. (2003). The use of backpropagating artificial neural networks in land cover classification. International journal of remote sensing, 24(23), 4907-4938.10.1080/0143116031000114851Search in Google Scholar

Kosmas, C., Kirkby, M. J., & Geeson, N. (1999). The Medalus Project: Mediterranean Desertification and Land Use: Manual on Key Indicators of Desertification and Mapping Environmentally Sensitive Areas to Desertification: Directorate-General Science, Research and Development.Search in Google Scholar

Ladisa, G., Todorovic, M., & Trisorio Liuzzi, G. (2012). A GIS-based approach for desertification risk assessment in Apulia region, SE Italy. Physics and Chemistry of the Earth, Parts A/B/C, 49, 103-113. doi: http://dx.doi.org/10.1016/j.pce.2011.05.00710.1016/j.pce.2011.05.007Search in Google Scholar

Lam, D. K., Remmel, T. K., & Drezner, T. D. (2010). Tracking Desertification in California Using Remote Sensing: A Sand Dune Encroachment Approach. Remote Sensing, 3(1), 1-13.10.3390/rs3010001Search in Google Scholar

Lamchin, M., Lee, J.-Y., Lee, W.-K., Lee, E. J., Kim, M., Lim, C.-H., Kim, S.-R. (2016). Assessment of land cover change and desertification using remote sensing technology in a local region of Mongolia. Advances in Space Research, 57(1), 64-77.10.1016/j.asr.2015.10.006Search in Google Scholar

Liu, Y., Gao, J., & Yang, Y. (2003). A holistic approach towards assessment of severity of land degradation along the Great Wall in Northern Shaanxi Province, China. Environmental Monitoring and Assessment, 82(2), 187-202.10.1023/A:1021882015299Search in Google Scholar

Maisongrande, P., Duchemin, B., & Dedieu, G. (2004). VEGETATION/SPOT: an operational mission for the Earth monitoring; presentation of new standard products. International Journal of Remote Sensing, 25(1), 9-14.10.1080/0143116031000115265Search in Google Scholar

Mathiyalagan, V., Grunwald, S., Reddy, K., & Bloom, S. (2005). A WebGIS and geodatabase for Florida's wetlands. Computers and electronics in agriculture, 47(1), 69-75.10.1016/j.compag.2004.08.003Search in Google Scholar

Meyer, W. B., & Turner, B. L. (1992). Human population growth and global landuse/ cover change. Annual review of ecology and systematics, 23, 39-61.10.1146/annurev.es.23.110192.000351Search in Google Scholar

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), 5157-5176.10.1080/01431161.2010.494642Search in Google Scholar

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), 231-237.10.1016/j.compag.2011.07.014Search in Google Scholar

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), 1-12.10.1007/s12665-015-4857-xSearch in Google Scholar

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%2Fs10661-007-9613-610.1007/s10661-007-9613-617357820Search in Google Scholar

Sharma, S. A., & Mishra, S. (2012). Web-GIS based monitoring of vegetation using NDVI profiles. Journal of Geomatics, 6(2), 109-112.Search in Google Scholar

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. Search in Google Scholar

Simeoni, L., Zatelli, P., & Floretta, C. (2014). Field measurements in river embankments: validation and management with spatial database and webGIS.Natural hazards, 71(3), 1453-1473.10.1007/s11069-013-0955-9Search in Google Scholar

Sombroek, W., & Sene, E. (1993). Land degradation in arid, semi-arid and dry subhumid areas: rainfed and irrigated lands, rangelands and woodlands. Paper presented at the Inter-Governmental Negotiating Committee for the Preparation of a Convention to Combat Desertification and Drought. Substantive Sess. 1, Nairobi (Kenya), 24 May-4 Jun 1993.Search in Google Scholar

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, 121-130.10.1016/j.compag.2013.08.005Search in Google Scholar

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), 3813-3829.10.1007/s10661-011-2226-0Search in Google Scholar

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), 83-102.10.4018/IJAEIS.2015100105Search in Google Scholar

Tucker, C. J. (1979). Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment, 8(2), 127-150.10.1016/0034-4257(79)90013-0Search in Google Scholar

Turner, B. L., Skole, D., Sanderson, S., Fischer, G., Fresco, L., & Leemans, R. (1995). Land-use and land-cover change. Science/Research Plan. Global Change Report (Sweden).Search in Google Scholar

Van der Knijff, J., Jones, R., & Montanarella, L. (2000). Soil erosion risk assessment in Europe: European Soil Bureau, European Commission Belgium.Search in Google Scholar

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, 18-25.10.1016/j.landusepol.2015.11.001Search in Google Scholar

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), 43-65.10.1016/S0169-2046(03)00028-8Search in Google Scholar

Wheeler, D. A. (2007). Why Open Source Software/Free Software (OSS/FS)? Look at the Numbers! http://www.dwheeler.com/oss_fs_why.html.Search in Google Scholar

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), 137-146.10.1016/S0167-8809(01)00249-3Search in Google Scholar

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. 10.1080/01431160050505883Search in Google Scholar

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2391-8152
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Computer Sciences, other, Geosciences, Geodesy, Cartography and Photogrammetry