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Letteratura scientifica selezionata sul tema "Sub-Saharan Remote sensing"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 8 febbraio 2022

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Articoli di riviste sul tema "Sub-Saharan Remote sensing"

1

Marshall, M., K. Tu, C. Funk, J. Michaelsen, P. Williams, C. Williams, J. Ardö, et al. "Combining surface reanalysis and remote sensing data for monitoring evapotranspiration." Hydrology and Earth System Sciences Discussions 9, no. 2 (February 2, 2012): 1547–87. http://dx.doi.org/10.5194/hessd-9-1547-2012.

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Abstract. Climate change is expected to have the greatest impact on the world's poor. In the Sahel, a climatically sensitive region where rain-fed agriculture is the primary livelihood, expected decreases in water supply will increase food insecurity. Studies on climate change and the intensification of the water cycle in sub-Saharan Africa are few. This is due in part to poor calibration of modeled actual evapotranspiration (AET), a key input in continental-scale hydrologic models. In this study, a model driven by dynamic canopy AET was combined with the Global Land Data Assimilation System r

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2

Sibanda, Mbulisi, Timothy Dube, Khoboso Seutloali, and Samuel Adelabu. "Operational applications of remote sensing in groundwater mapping across sub-Saharan Africa." Transactions of the Royal Society of South Africa 70, no. 2 (March 18, 2015): 173–79. http://dx.doi.org/10.1080/0035919x.2015.1017024.

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Marshall, M., K. Tu, C. Funk, J. Michaelsen, P. Williams, C. Williams, J. Ardö, et al. "Improving operational land surface model canopy evapotranspiration in Africa using a direct remote sensing approach." Hydrology and Earth System Sciences 17, no. 3 (March 12, 2013): 1079–91. http://dx.doi.org/10.5194/hess-17-1079-2013.

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Abstract. Climate change is expected to have the greatest impact on the world's economically poor. In the Sahel, a climatically sensitive region where rain-fed agriculture is the primary livelihood, expected decreases in water supply will increase food insecurity. Studies on climate change and the intensification of the water cycle in sub-Saharan Africa are few. This is due in part to poor calibration of modeled evapotranspiration (ET), a key input in continental-scale hydrologic models. In this study, a remote sensing model of transpiration (the primary component of ET), driven by a time seri

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4

Ebhuoma, Osadolor, and Michael Gebreslasie. "Remote Sensing-Driven Climatic/Environmental Variables for Modelling Malaria Transmission in Sub-Saharan Africa." International Journal of Environmental Research and Public Health 13, no. 6 (June 14, 2016): 584. http://dx.doi.org/10.3390/ijerph13060584.

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5

Dube, T., O. Mutanga, K. Seutloali, S. Adelabu, and C. Shoko. "Water quality monitoring in sub-Saharan African lakes: a review of remote sensing applications." African Journal of Aquatic Science 40, no. 1 (January 2, 2015): 1–7. http://dx.doi.org/10.2989/16085914.2015.1014994.

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6

Yiran, Gerald Albert Baeribameng, Austin Dziwornu Ablo, Freda Elikplim Asem, and George Owusu. "Urban Sprawl in sub-Saharan Africa: A review of the literature in selected countries." Ghana Journal of Geography 12, no. 1 (July 25, 2020): 1–28. http://dx.doi.org/10.4314/gjg.v12i1.1.

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Urban sprawl has gained popularity in academic discourse in recent times, but the majority of the research was conducted in developed countries. There is a marginal body of works on the character and nature of urban sprawl in Sub-Saharan Africa (SSA), although the region isexperiencing one of the fastest rates of sprawl. Urbanisation in SSA is very rapid, and in addition to the emerging challenges of globalisation, climate change and poverty, SSA cities have an enormous task to manage urban sprawl. This paper reviews the literature on urban sprawl in SSAto identify research gaps and propose a

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Bhaga, Trisha Deevia, Timothy Dube, Munyaradzi Davis Shekede, and Cletah Shoko. "Impacts of Climate Variability and Drought on Surface Water Resources in Sub-Saharan Africa Using Remote Sensing: A Review." Remote Sensing 12, no. 24 (December 21, 2020): 4184. http://dx.doi.org/10.3390/rs12244184.

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Climate variability and recurrent droughts have caused remarkable strain on water resources in most regions across the globe, with the arid and semi-arid areas being the hardest hit. The impacts have been notable on surface water resources, which are already under threat from massive abstractions due to increased demand, as well as poor conservation and unsustainable land management practices. Drought and climate variability, as well as their associated impacts on water resources, have gained increased attention in recent decades as nations seek to enhance mitigation and adaptation mechanisms.

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Djurfeldt, Göran, Ola Hall, Magnus Jirström, Maria Archila Bustos, Björn Holmquist, and Sultana Nasrin. "Using panel survey and remote sensing data to explain yield gaps for maize in sub-Saharan Africa." Journal of Land Use Science 13, no. 3 (May 4, 2018): 344–57. http://dx.doi.org/10.1080/1747423x.2018.1511763.

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Jacob, Benjamin G., Robert J. Novak, Laurent D. Toe, Moussa Sanfo, Daniel A. Griffith, Thomson L. Lakwo, Peace Habomugisha, Moses N. Katabarwa, and Thomas R. Unnasch. "Validation of a Remote Sensing Model to Identify Simulium damnosum s.l. Breeding Sites in Sub-Saharan Africa." PLoS Neglected Tropical Diseases 7, no. 7 (July 25, 2013): e2342. http://dx.doi.org/10.1371/journal.pntd.0002342.

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Atai, Godwin, Ayansina Ayanlade, Isaac Ayo Oluwatimilehin, and Oluwatoyin Seun Ayanlade. "Geospatial Distribution and Projection of Aerosol over Sub-Saharan Africa: Assessment from Remote Sensing and Other Platforms." Aerosol Science and Engineering 5, no. 3 (June 15, 2021): 357–72. http://dx.doi.org/10.1007/s41810-021-00107-4.

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Più fonti

Tesi sul tema "Sub-Saharan Remote sensing"

1

Symeonakis, Elias. "Soil erosion modelling over sub Saharan Africa using remote sensing and geographical information systems." Thesis, King's College London (University of London), 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.248386.

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2

Forget, Yann. "Mapping 20 Years of Urbanization in Sub-Saharan Africa from Space: An approach based on multi-sensor satellite imagery and volunteered geographic information." Doctoral thesis, Universite Libre de Bruxelles, 2020. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/305158.

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Between 2015 and 2050, half of the net increase in the world's urban populationis expected to take place in Sub-Saharan Africa (SSA), driving drastic landcover changes and challenging the spatial organization of human societies.Understanding past and present dynamics of this urbanization process is criticalto achieve a sustainable pattern of urban development, yet is limited by thelack of accurate and multi-temporal spatial data on urban expansion. Since the2000s, the rise of satellite-based Earth Observation (EO) enabled the productionof several global urban maps, thereby mitigating the issue

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Kukat, James Pkemoi. "Development and Validation of a Remote Sensing Model to Identify Anthropogenic Boreholes that Provide Dry Season, Refuge Habitat for Anopheles Vector Mosquitoes in Sub-Saharan Africa." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6287.

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A lack of surveillance systems is an impediment to public health intervention for perennial vector-borne disease transmission in northern tropical savanna region of Kenya. The population in this area are mostly poor nomadic pastoralists with little acquired functional immunity to Plasmodium falciparum, due to infrequent challenges with the parasite. A common characteristic in tropical savanna climatic zone is the availability of riverbeds that have anthropogenic boreholes that provide malaria vector mosquitoes, such as Anopheles gambiae s.l and Anopheles funestus, with aquatic refuge habitats

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4

Georganos, Stefanos. "The use of very-high-resolution earth observation satellite data for multi-thematic urban mapping in sub-Saharan Africa: Applications in population, household wealth and epidemiological modeling." Doctoral thesis, Universite Libre de Bruxelles, 2021. https://dipot.ulb.ac.be/dspace/bitstream/2013/317404/3/ToC.pdf.

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Sub-Saharan African (SSA) cities are some of the most rapid-growing regions inthe world. As estimated by the United Nations, more than 50% of the Africanpopulation will reside in cities by 2030 while in absolute numbers, its population willhave doubled - from 1.2 billion in 2015 to 2.5 billion by 2050. This ongoing shift hasdramatically affected the capacity of several SSA cities to provide essential servicesfor its residents, such as durable housing, employment and healthcare accessibility.On the contrary, the proliferation of slums, further marginalizing the urban poor hasbeen an undisputed

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5

Grippa, Taïs. "Very‑high resolution earth observation data and open‑source solutions for mapping urban areas in sub-Saharan Africa. Implementation of an operational framework for production of geoinformation. Application on Ouagadougou (Burkina Faso) and Dakar (Senegal)." Doctoral thesis, Universite Libre de Bruxelles, 2019. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/284464.

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Nowadays, in sub-Saharan Africa (SSA), about 40% of the population is urban and this region is expected to face the highest growth rates during the next decades. By 2100, the three most populated cities in the world will be located in SSA. As a consequence of the extremely fast transformations experienced during the last decades, SSA cities are facing social and environmental issues combined with a lack of financial means and capacity in urban planning and management. The poorest often constitute a large part of the urban population that is extremely vulnerable to health and disaster risks.In

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Lukong, Paul Forka. "The diffusion of HIV/AIDS in sub Saharan Africa : the role of social, economic and cultural factors." 2000. http://web4.library.adelaide.edu.au/theses/09ENV/09envl954.pdf.

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Bibliography: leaves 103-113. Uses GIS to map the pattern of widespread transmission, commercial sex workers, poverty prevalence, illiteracy rate, population displacement and other social indicators to show the vulnerability of the region's population; and to demonstrate that there is no single point of radiation of HIV/AIDS in the sub region. Discusses mitigation and prevention strategies and proposes the use of GIS be incorporated in the fight against HIV/AIDS in sub Saharan Africa.

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(9174146), Jessica Abbie Eisma. "From impacts to implementation: A survey of sand dams in sub-Saharan Africa." Thesis, 2020.

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<div>International development projects are a massive business, with billions invested annually in the Global South. However, such projects have an unacceptably long record of high failure rates. The problem perpetuates, in part, due to the success factors by which international development projects are judged. Often, projects are assessed on the basis of donor-identified priorities that are not aligned with local impacts. One such international development project involves the construction of small-scale water harvesting structures known as sand dams. Non-governmental organizations (NGOs) con

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Twisa, Sekela Simon. "Sustainability of Rural Water Supply in Sub-Saharan Africa: GIT-Based Studies in East-Central Tanzania." 2021. https://tud.qucosa.de/id/qucosa%3A76133.

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The achievement of sustainable and lasting effects from projects is a significant challenge for donors and the agencies implementing and supporting water supply in developing countries. The current estimations for Sub-Saharan Africa (SSA) suggest that only two out of three water points in rural areas on the continent are functioning at any given time. The region of SSA includes many of the world’s poorest countries, and sustainability of water supply services is vital concerning people without access to safe drinking water. Not surprisingly, many policies and planning decisions are taken witho

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Libri sul tema "Sub-Saharan Remote sensing"

1

Falloux, François. Land information and remote sensing for renewable resource management in sub-Saharan Africa: A demand-driven approach. Washington, D.C: World Bank, 1989.

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Land survey and large-scale mapping in sub-Saharan Africa. Nairobi: Habitat, 2001.

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Guidelines on the Use of Remote Sensing Products to Improve Agricultural Crop Production Forecast Statistics in Sub-Saharan African Countries. UN, 2018. http://dx.doi.org/10.18356/8703b7b7-en.

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Capitoli di libri sul tema "Sub-Saharan Remote sensing"

1

Hay, S. I., J. A. Omumbo, M. H. Craig, and R. W. Snow. "Earth observation, geographic information systems and Plasmodium falciparum malaria in sub-Saharan Africa." In Remote Sensing and Geographical Information Systems in Epidemiology, 173–215. Elsevier, 2000. http://dx.doi.org/10.1016/s0065-308x(00)47009-0.

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Atti di convegni sul tema "Sub-Saharan Remote sensing"

1

Papa, M. N., F. Ciervo, Y. Koussoube, G. Di Martino, A. Iodice, D. Riccio, G. Ruello, and I. Zinno. "Use of SAR data for hydro-morphological characterization in sub-Saharan Africa: a case study." In SPIE Remote Sensing, edited by Roland Meynart, Steven P. Neeck, and Haruhisa Shimoda. SPIE, 2011. http://dx.doi.org/10.1117/12.898168.

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Moser, Linda, Stefan Voigt, and Elisabeth Schoepfer. "Monitoring of critical water and vegetation anomalies of sub-Saharan West-African Wetlands." In IGARSS 2014 - 2014 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2014. http://dx.doi.org/10.1109/igarss.2014.6947322.

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Vanhuysse, Sabine, Tais Grippa, Moritz Lennert, Eleonore Wolff, and Mahamadou Idrissa. "Contribution of nDSM derived from VHR stereo imagery to urban land-cover mapping in Sub-Saharan Africa." In 2017 Joint Urban Remote Sensing Event (JURSE). IEEE, 2017. http://dx.doi.org/10.1109/jurse.2017.7924570.

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4

Vancutsem, C., J. F. Pekel, and F. Kayitakire. "Dynamic mapping of cropland areas in Sub-Saharan Africa using MODIS time series." In 2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp). IEEE, 2011. http://dx.doi.org/10.1109/multi-temp.2011.6005038.

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Hoscilo, A., H. Balzter, E. Bartholome, M. Boschetti, P. A. Brivio, and A. Brink. "Changes in vegetation and rainfall patterns in sub-Saharan Africa over the last decade observed by satellites - a national and sub-national synthesis." In IGARSS 2011 - 2011 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2011. http://dx.doi.org/10.1109/igarss.2011.6049714.

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Lambert, Marie-Julie, Xavier Blaes, Pierre Sibiry Traore, and Pierre Defourny. "Estimate yield at parcel level from S2 time serie in sub-Saharan smallholder farming systems." In 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp). IEEE, 2017. http://dx.doi.org/10.1109/multi-temp.2017.8035204.

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