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Search Results for: ❤️ Webosaete e ntle ea ho intša: www.Dating4Me.site ❤️ Shanghai Dating Site Site App

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  1. 1) Abbas, A., Khan, S., Hussain, N., Hanjra, M. A. and Akbar, S. (2013). Characterizing soil salinity in irrigated agriculture using a remote sensing approach’. Physics and Chemistry of the Earth, 55, pp. 43-52. 2) Anderson, J.R., Hardy, E.E., Roach, J.T., and Witmer, R.E., (1976); A Land Use and Land Cover Classification System for Use with Remote Sensor Data, United States Government Printing Office, Vvashington, V 1, pp. 1-27. 3) Barnsley, M. J., & Barr, S. L. (1996). Inferring urban land use from satellite sensor images using kernel based spatial reclassification. Photogramm Eng Remote Sensing, 62(8), 949–958. 4) Brahabhatt, V.S., Dalwadi, G.B., Chhabra, S.B., Ray, S.S., & Dadhwal, V.K., 2000. Landuse/land cover changes mapping in Mahi canal command area, Gujarat, using multitemporal satellite data, J.Indian Soc. Remote Sensing. 28(4), pp 221-232. 5) David,K., Yetta, G., Agung, F., Sharon, H.,& Alison, C.(2016). Land use planning for disaster risk reduction and climate change adaptation: Operationalizing policy and legislation at local levels. International Journal of Disaster Resilience in the Built Environment, 7(2), 158–172. 6) DCHB (District census Handbook) http://censusindia.gov.in/2011census/dchb/DCHB_A/19/1917_PART_A_DCHB_SOUTH%20TWENTY%20FOUR%20PARGANAS.pdf 7) Diallo, Y., Hu, G., & Wen, X. (2009). Applications of remote sensing in land use/land cover change detection in Puer and Simao Counties, Yunnan Province. Journal of American Science, 5(4), 157–166. 8) Duke, N.C., Meynecke, J.O., Dittmann, S., Ellison, A.M., Anger, K., Berger, U. (2007) “A World Without Mangroves?” Science, 317, 41–42. 9) Erener, A., Du ¨zgu ¨n, S., & Yalciner, A. C. (2012). Evaluating land use/cover change with temporal satellite data and information systems. Procedia Technology, 1, 385–389. 10) Erener, A., Du ¨zgu ¨n, S., & Yalciner, A. C. (2012). Evaluating land use/cover change with temporal satellite data and information systems. Procedia Technology, 1, 385–389. 11) Foody, G. M. (2002). Status of land cover classification accuracy assessment. Remote Sensing of Environment, 80(1), 185–201. 12) Friess, A.D., Scales, I. R., Glass, L., and Ravaoarinorotsihoarana, L., (2016) “Rural livelihoods and mangrove degradation in south-west Madagascar: lime production as an emerging threat”, Fauna & Flora International, pp-1-5. 13) Gao, Y., & Zhang, W. (2009). LULC classification and topographic correction of Landsat-7 ETM ? imagery in the Yangjia River Watershed: The influence of DEM resolution. Sensors, 9(3), 1980– 1995. 14) Gautam, N.C.,& Narayanan, L.R.A., 1983. Landsat MSS data for land use/land cover inventory and mapping: A case study of Andhra Pradesh, J.IndianSoc, Remote Sensing, 11(3), pp 15-28. 15) Giri, C. & Muhlhausen, J. (2008) “Mangrove Forest Distribution Sand Dynamics In Madagascar (1975 – 2005)”, Sensors, vol-8, pp.2104 –2117. 16) Guler, M., Yomralıoglu, T., & Reis, S. (2007). Using landsat data to determine land use/land cover changes in Samsun, Turkey. Environmental Monitoring and Assessment, 127(1–3), 155–167. 17) Guler, M., Yomralıoglu, T., & Reis, S. (2007). Using landsat data to determine land use/land cover changes in Samsun, Turkey. Environmental Monitoring and Assessment, 127(1–3), 155–167. 18) Gumma, M. K., Thenkabail, P. S., Hideto, F., Nelson, A., Dheeravath, V., Busia, D., et al. (2011). Mapping irrigated areas of Ghana using fusion of 30 m and 250 m resolution remote-sensing data. Remote Sensing, 3(4), 816–835. 19) Hegazy, I. R., and Kaloop, M. R. (2015). Monitoring urban growth and land use change detection with GIS and remote sensing techniques in Daqahlia governorate Egypt. International Journal of Sustainable Built Environment, 4(1), 117–124. 20) Helmer, E. H., Brown, S., & Cohen, W. B. (2000). Mapping montane tropical forest successional stage and land use with multi-date Landsat imagery. International Journal of Remote Sensing, 21(11), 2163–2183. 21) Herold, M., Scepan, J., & Clarke, K. C. (2002). The use of remote sensing and landscape-metrics to describe structures and changes in urban land uses. Environment and Planning A, 34(8), 1443– 1458. 22) Jain, S.K., 1992. Land use mapping of Tawi catchment using satellite data. Report No.CS72, National Institute of Hydrology, Roorkee, 52. 23) Jayakumar, S., and Arockiasamy, D. (2003), ‘Land use land cover mapping and change detection in part of Eastern Ghats of Tamil Nadu using remote sensing and GIS’, Journal of Indian Society of Remote Sensing 31, 251–260. 24) Jensen, J. R. (2007). Remote sensing of the environment (2nd ed.). Upper Saddle River: Pearson Prentice Hall. 25) Ji, W., Ma, J., Twibell, R. W., & Underhill, K. (2005). Characterizing urban sprawl using multistage remote sensing images and landscape metrics. Computers, Environment and Urban Systems, 30(2006), 861–879.3 26) Jia, K., Wei, X., Gu, X., Yao, Y., Xie, X., & Li, B. (2014). Land cover classification using Landsat 8 Operational Land Imager data in Beijing, China. Geocarto International, 29(8), 941–951. 27) Kumar, R. (2016). Flood hazard assessment of 2014 floods in Sonawari sub-district of Bandipore district (Jammu & Kashmir): An application of geoinformatics. Remote Sensing Applications: Society and Environment, 4, 188–203. 28) Lambin, E. F., Turner, B. L., Geist, H. J., Agbola, S. B., Angelsen, A., Bruce, J. W., et al. (2001). The causes of land-use and land-cover change: Moving beyond the myths. Global Environmental Change, 11(2), 261–269. 29) Liu, T., and Yang, X. (2015). Monitoringland changesin anurban area using satellite imagery, GIS and landscape metrics. Applied Geography, 56, 42–54. 30) Loveland T. R., & Acevedo W. (2006) Land cover change in the Eastern United States, US Geological survey. 31) Lu, D., & Weng, Q. (2004). Spectral Mixture Analysis of the Urban Landscape in Indianapolis with Landsat ETM ? Imagery. Photogrammetric Engineering and Remote Sensing, 70(9), 1053– 1062. 32) Lu, D., Hetrick, S., Moran, E., & Li, G. (2012). Application of time series landsat images to examining land-use/landcover dynamic change. Photogrammetric Engineering and Remote Sensing, 78(7), 747–755. 33) Malakar, K.D., (2020). The Mangrove: Future of the Global seacoast. Globe edit, Germany, ISBN: 978-620-0-60757-7. 34) Map Library (MAP) (2000) (http://www.maplibrary.org/library/stacks/Africa/Madagascar/Mahajanga/Mahajanga%20Urban/index.htm) 35) Nelson, F. (1983). Detecting forest canopy change due to insect activity using Landsat MSS. Photogrammetric Engineering and Remote Sensing, 49(9), 1303–1314. 36) Ojima, D. S., Galvin, K. A., & Turner, B. L. (1994). The global impact of land-use change. BioScience, 44(5), 300. 37) Quintas-Soriano, C., Castro, A. J., Castro, H., & Garcı ´a-Llorente, M. (2016). Impacts of land use change on ecosystem services and implicationsfor human well-being in Spanish drylands. Land Use Policy, 54, 534–548. 38) Seto, K. C., & Kaufmann, R. K. (2005). Using logit models to classify land cover and land-cover change from Landsat Thematic Mapper. International Journal of Remote Sensing, 26(3), 563–577. 39) Shah, S. A. (2012). Use of geographic information system in land use studies: A micro level analysis. European Journal of Applied Sciences, 4(3), 123–128. 40) Sharma, K.R., Jain, S.C., &Garg, R.K, 1984. Monitoring land use and land cover changes using landsat imager, J. Indian Soc. Remote Sensing 12(2), pp 115-121. 41) Singh, A. (1989). Review article digital change detection techniques using remotely-sensed data. International Journal of Remote Sensing, 10(6), 989–1003. 42) Turner, B. L., Moss, R. H., & Skole, D. L. (1993). Relating land use and global land-cover change. In Unknown host publication title. International geosphere-biosphere programme, Stockholm; Report, 24/human dimensions of global environmental change programme, Barcelona; Report 5. 43) UNEP (2014) “The Importance of Mangroves: A Call to Action”, United Nations Environment Programme– World Conservation Monitoring Centre, Cambridge, UK. 44) World Conservation Monitoring Centre (WCMC) https://www.unep-wcmc.org/ 45) Yang, X. (2002). Satellite monitoring of urban spatial growth in the Atlanta metropolitan area. Photogrammetric Engineering and Remote Sensing, 68(7), 725–734. 46) Yang, X., & Liu, Z. (2005). Using satellite imagery and GIS for land-use and land-cover change mapping in an estuarine watershed. International Journal of Remote Sensing, 26(23), 5275–5296.

    • Publication
    • HDCA conference paper
    • 2020

  2. Call for Abstracts: International Indigenous Development Research Conference 2014

    …elopment: · Optimising Indigenous Economic Wellbeing – addressing issues, needs and opportunities arising in indigenous communities leading to increased economic independence and self-determination. · Healthy and Thriving Indigenous Families – addressing issues, needs and opportunities arising in indigenous families leading to healthy, successful and thriving indigenous families. · Enhancing Indigenous Distinctiveness – understanding the distincti…

  3. The right to science | UN general comment | Ideas for collaboration

    • News

    On the 7th of April the UN Committee on Economic, Social and Cultural Rights has published the final comment on the social, economic and cultural rights that the committee has the mandate to monitor (here, see ‘recent events and development’: https://www.ohchr.org/en/hrbodies/cescr/pages/cescrindex.aspx ). With a group of colleagues from US- and UK-based universities among others we have established an independent association called Science for D…

  4. Call for support: Big Jump Challenge – European water solidarity youth campaign

    • News

    …he European River Swimming Day. Inspired by the capabilities approach, it seeks to empower youth and young adults in promoting water conservation in Europe through creativity and celebration, culminating in a Big Jump for water in summer 2015, the goal year of the European Water Framework Directive. The campaign is now looking for partners from all European countries. Partner teams composed of members from different EU countries take up the intern…

  5. Medel-Ramírez, Carlos, Hilario Medel-López, and Jennifer Lara-Mérida. "Navigating Information and Uncertainty: A Fuzzy Logic Model to Approach Transparency, Democracy and Social Wellbeing." October 2023. DOI: 10.13140/RG.2.2.14567.62889. CC BY 4.0. Lab: Carlos Medel-Ramírez's Lab. Accessed January 26, 2024. https://www.researchgate.net/publication/374554358_Navigating_Information_and_Uncertainty_A_Fuzzy_Logic_Model_to_Approach_Transparency_Democracy_and_Social_Wellbeing.

    • Publication
    • Book (edited volume)
    • 2023

  6. CfP for a CA session at ICT4D Conference

    • News

    …thea and Yingqin Zheng are organising a CA track in the next IFIP 9.4. conference to be held in Jamaica in May 2013. The track will be part of WG 9.4: Social Implications of Computers in Developing Countries. The call for papers can be found here: http://www.ifipwg94.org/track-12-capability-approach-and-ict4d. Here is conference website where you could find out more about the conference and the IFIP 9.4 group: http://www.ifipwg94.org/ifip-conferen…

  7. Master Programme in Human Development and Food Security

    …e are well-structured, practical issues are discussed and students get to meet high level professionals by participating in international debates and global discussions on trends in human development and food security. Our innovative partnerships with United Nations Agencies as WFP and with many other NGOs and organizations, offer students the opportunity to garner substantial experience through group research, internships and consultancy position…

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