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Journal articles on the topic 'Sub-Saharan Remote sensing'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 February 2022

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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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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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3

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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9

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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10

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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11

Hemerijckx, Lisa-Marie, Sam Van Emelen, Joachim Rymenants, Jac Davis, Peter H. Verburg, Shuaib Lwasa, and Anton Van Rompaey. "Upscaling Household Survey Data Using Remote Sensing to Map Socioeconomic Groups in Kampala, Uganda." Remote Sensing 12, no. 20 (October 21, 2020): 3468. http://dx.doi.org/10.3390/rs12203468.

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Sub-Saharan African cities are expanding horizontally, demonstrating spatial patterns of urban sprawl and socioeconomic segregation. An important research gap around the geographies of urban populations is that city-wide analyses mask local socioeconomic inequalities. This research focuses on those inequalities by identifying the spatial settlement patterns of socioeconomic groups within the Greater Kampala Metropolitan Area (Uganda). Findings are based on a novel dataset, an extensive household survey with 541 households, conducted in Kampala in 2019. To identify different socioeconomic group

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12

Mulley, Maggie, Lammert Kooistra, and Laurens Bierens. "High-Resolution Multisensor Remote Sensing to Support Date Palm Farm Management." Agriculture 9, no. 2 (January 31, 2019): 26. http://dx.doi.org/10.3390/agriculture9020026.

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Date palms are a valuable crop in areas with limited water availability such as the Middle East and sub-Saharan Africa, due to their hardiness in tough conditions. Increasing soil salinity and the spread of pests including the red palm weevil (RPW) are two examples of growing threats to date palm plantations. Separate studies have shown that thermal, multispectral, and hyperspectral remote sensing imagery can provide insight into the health of date palm plantations, but the added value of combining these datasets has not been investigated. The current study used available thermal, hyperspectra

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Müller, Marc F., Gopal Penny, Meredith T. Niles, Vincent Ricciardi, Davide Danilo Chiarelli, Kyle Frankel Davis, Jampel Dell’Angelo, et al. "Impact of transnational land acquisitions on local food security and dietary diversity." Proceedings of the National Academy of Sciences 118, no. 4 (January 19, 2021): e2020535118. http://dx.doi.org/10.1073/pnas.2020535118.

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Foreign investors have acquired approximately 90 million hectares of land for agriculture over the past two decades. The effects of these investments on local food security remain unknown. While additional cropland and intensified agriculture could potentially increase crop production, preferential targeting of prime agricultural land and transitions toward export-bound crops might affect local access to nutritious foods. We test these hypotheses in a global systematic analysis of the food security implications of existing land concessions. We combine agricultural, remote sensing, and househol

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Hall, Ola, Sigrun Dahlin, Håkan Marstorp, Maria Archila Bustos, Ingrid Öborn, and Magnus Jirström. "Classification of Maize in Complex Smallholder Farming Systems Using UAV Imagery." Drones 2, no. 3 (June 22, 2018): 22. http://dx.doi.org/10.3390/drones2030022.

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Yield estimates and yield gap analysis are important for identifying poor agricultural productivity. Remote sensing holds great promise for measuring yield and thus determining yield gaps. Farming systems in sub-Saharan Africa (SSA) are commonly characterized by small field size, intercropping, different crop species with similar phenologies, and sometimes high cloud frequency during the growing season, all of which pose real challenges to remote sensing. Here, an unmanned aerial vehicle (UAV) system based on a quadcopter equipped with two consumer-grade cameras was used for the delineation an

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Forget, Yann, Michal Shimoni, Marius Gilbert, and Catherine Linard. "Mapping 20 Years of Urban Expansion in 45 Urban Areas of Sub-Saharan Africa." Remote Sensing 13, no. 3 (February 2, 2021): 525. http://dx.doi.org/10.3390/rs13030525.

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By 2050, half of the net increase in the world’s population is expected to reside in sub-Saharan Africa (SSA), driving high urbanization rates and drastic land cover changes. However, the data-scarce environment of SSA limits our understanding of the urban dynamics in the region. In this context, Earth Observation (EO) is an opportunity to gather accurate and up-to-date spatial information on urban extents. During the last decade, the adoption of open-access policies by major EO programs (CBERS, Landsat, Sentinel) has allowed the production of several global high resolution (10–30 m) maps of h

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Mapfumo, L., V. Muchenje, J. F. Mupangwa, M. M. Scholtz, and S. Washaya. "Dynamics and influence of environmental components on greenhouse gas emissions in sub-Saharan African rangelands: a review." Animal Production Science 61, no. 8 (2021): 721. http://dx.doi.org/10.1071/an20564.

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Sub-Saharan African (SSA) countries consist of ~200 million livestock owners who utilise marginal rangelands as a feed resource base for their animals. These rangelands offer various resources to the communities and are in-turn vulnerable to climate change related challenges. Currently, information on greenhouse gases (GHG) emission from SSA rangelands is heavily dependent on the generic values generated by the Intergovernmental Panel on Climate Change (IPCC) Tier I trajectories on various aspects of the environment. There is, therefore, a need to identify research gaps between the dynamics an

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17

Haas, E. M., E. Bartholomé, and B. Combal. "Time series analysis of optical remote sensing data for the mapping of temporary surface water bodies in sub-Saharan western Africa." Journal of Hydrology 370, no. 1-4 (May 2009): 52–63. http://dx.doi.org/10.1016/j.jhydrol.2009.02.052.

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18

BUCHANAN, GRAEME M., PAUL F. DONALD, LINCOLN D. C. FISHPOOL, JULIUS A. ARINAITWE, MARK BALMAN, and PHILIPPE MAYAUX. "An assessment of land cover and threats in Important Bird Areas in Africa." Bird Conservation International 19, no. 1 (March 2009): 49–61. http://dx.doi.org/10.1017/s0959270908007697.

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SummaryOver 1,200 Important Bird Areas (IBAs) have been identified in Africa, each meeting at least one of four objective criteria that identify it as an area of high conservation importance for birds. Despite their biodiversity value, many IBAs are threatened by habitat degradation and a high proportion lack legal protection. We integrate an inventory of these IBAs with remote sensing data to identify patterns that could be used to assess priorities for monitoring and conservation. Land cover composition in IBAs differed significantly from that in buffer zones of the same area immediately sur

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19

Ruiz-Pérez, Guiomar, Julian Koch, Salvatore Manfreda, Kelly Caylor, and Félix Francés. "Calibration of a parsimonious distributed ecohydrological daily model in a data-scarce basin by exclusively using the spatio-temporal variation of NDVI." Hydrology and Earth System Sciences 21, no. 12 (December 8, 2017): 6235–51. http://dx.doi.org/10.5194/hess-21-6235-2017.

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Abstract. Ecohydrological modeling studies in developing countries, such as sub-Saharan Africa, often face the problem of extensive parametrical requirements and limited available data. Satellite remote sensing data may be able to fill this gap, but require novel methodologies to exploit their spatio-temporal information that could potentially be incorporated into model calibration and validation frameworks. The present study tackles this problem by suggesting an automatic calibration procedure, based on the empirical orthogonal function, for distributed ecohydrological daily models. The proce

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20

Wahab, Ibrahim, Ola Hall, and Magnus Jirström. "Remote Sensing of Yields: Application of UAV Imagery-Derived NDVI for Estimating Maize Vigor and Yields in Complex Farming Systems in Sub-Saharan Africa." Drones 2, no. 3 (August 16, 2018): 28. http://dx.doi.org/10.3390/drones2030028.

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The application of remote sensing methods to assess crop vigor and yields has had limited applications in Sub-Saharan Africa (SSA) due largely to limitations associated with satellite images. The increasing use of unmanned aerial vehicles in recent times opens up new possibilities for remotely sensing crop status and yields even on complex smallholder farms. This study demonstrates the applicability of a vegetation index derived from UAV imagery to assess maize (Zea mays L.) crop vigor and yields at various stages of crop growth. The study employs a quadcopter flown at 100 m over farm plots an

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21

Seutloali, Khoboso E., Timothy Dube, and Mbulisi Sibanda. "Developments in the remote sensing of soil erosion in the perspective of sub-Saharan Africa. Implications on future food security and biodiversity." Remote Sensing Applications: Society and Environment 9 (January 2018): 100–106. http://dx.doi.org/10.1016/j.rsase.2017.12.002.

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22

Sedano, F., S. N. Lisboa, R. Sahajpal, L. Duncanson, N. Ribeiro, A. Sitoe, G. Hurtt, and C. J. Tucker. "The connection between forest degradation and urban energy demand in sub-Saharan Africa: a characterization based on high-resolution remote sensing data." Environmental Research Letters 16, no. 6 (May 21, 2021): 064020. http://dx.doi.org/10.1088/1748-9326/abfc05.

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23

Wahab, Ibrahim. "In-season plot area loss and implications for yield estimation in smallholder rainfed farming systems at the village level in Sub-Saharan Africa." GeoJournal 85, no. 6 (June 28, 2019): 1553–72. http://dx.doi.org/10.1007/s10708-019-10039-9.

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Abstract The shortfalls in the quality, quantity, and reliability of agriculture performance data are neither new nor confined to Sub-Saharan Africa (SSA). It is, however, a more dire challenge given the overwhelming importance of agriculture in the economies of most countries in the region in terms of food security and poverty reduction. While farmers’ self-reported (SR) data on crop outputs and farm sizes remain popular variables for computing plot productivity and yields, especially in SSA, other methods such GPS measurement and remote sensing measurement of crop area, crop cuts (CC) as wel

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Forget, Yann, Catherine Linard, and Marius Gilbert. "Supervised Classification of Built-Up Areas in Sub-Saharan African Cities Using Landsat Imagery and OpenStreetMap." Remote Sensing 10, no. 7 (July 20, 2018): 1145. http://dx.doi.org/10.3390/rs10071145.

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The Landsat archives have been made freely available in 2008, allowing the production of high resolution built-up maps at the regional or global scale. In this context, most of the classification algorithms rely on supervised learning to tackle the heterogeneity of the urban environments. However, at a large scale, the process of collecting training samples becomes a huge project in itself. This leads to a growing interest from the remote sensing community toward Volunteered Geographic Information (VGI) projects such as OpenStreetMap (OSM). Despite the spatial heterogeneity of its contribution

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Bhargava, Anil K., Tor Vagen, and Anja Gassner. "Breaking Ground: Unearthing the Potential of High-resolution, Remote-sensing Soil Data in Understanding Agricultural Profits and Technology Use in Sub-Saharan Africa." World Development 105 (May 2018): 352–66. http://dx.doi.org/10.1016/j.worlddev.2017.07.015.

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26

Wrable, M., A. Liss, A. Kulinkina, M. Koch, N. K. Biritwum, A. Ofosu, K. C. Kosinski, D. M. Gute, and E. N. Naumova. "LINKING SATELLITE REMOTE SENSING BASED ENVIRONMENTAL PREDICTORS TO DISEASE: AN APPLICATION TO THE SPATIOTEMPORAL MODELLING OF SCHISTOSOMIASIS IN GHANA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 22, 2016): 215–21. http://dx.doi.org/10.5194/isprsarchives-xli-b8-215-2016.

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90% of the worldwide schistosomiasis burden falls on sub-Saharan Africa. Control efforts are often based on infrequent, small-scale health surveys, which are expensive and logistically difficult to conduct. Use of satellite imagery to predictively model infectious disease transmission has great potential for public health applications. Transmission of schistosomiasis requires specific environmental conditions to sustain freshwater snails, however has unknown seasonality, and is difficult to study due to a long lag between infection and clinical symptoms. To overcome this, we employed a compreh

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Wrable, M., A. Liss, A. Kulinkina, M. Koch, N. K. Biritwum, A. Ofosu, K. C. Kosinski, D. M. Gute, and E. N. Naumova. "LINKING SATELLITE REMOTE SENSING BASED ENVIRONMENTAL PREDICTORS TO DISEASE: AN APPLICATION TO THE SPATIOTEMPORAL MODELLING OF SCHISTOSOMIASIS IN GHANA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 22, 2016): 215–21. http://dx.doi.org/10.5194/isprs-archives-xli-b8-215-2016.

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90% of the worldwide schistosomiasis burden falls on sub-Saharan Africa. Control efforts are often based on infrequent, small-scale health surveys, which are expensive and logistically difficult to conduct. Use of satellite imagery to predictively model infectious disease transmission has great potential for public health applications. Transmission of schistosomiasis requires specific environmental conditions to sustain freshwater snails, however has unknown seasonality, and is difficult to study due to a long lag between infection and clinical symptoms. To overcome this, we employed a compreh

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28

Gxokwe, Siyamthanda, Timothy Dube, and Dominic Mazvimavi. "Multispectral Remote Sensing of Wetlands in Semi-Arid and Arid Areas: A Review on Applications, Challenges and Possible Future Research Directions." Remote Sensing 12, no. 24 (December 21, 2020): 4190. http://dx.doi.org/10.3390/rs12244190.

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Wetlands are ranked as very diverse ecosystems, covering about 4–6% of the global land surface. They occupy the transition zones between aquatic and terrestrial environments, and share characteristics of both zones. Wetlands play critical roles in the hydrological cycle, sustaining livelihoods and aquatic life, and biodiversity. Poor management of wetlands results in the loss of critical ecosystems goods and services. Globally, wetlands are degrading at a fast rate due to global environmental change and anthropogenic activities. This requires holistic monitoring, assessment, and management of

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29

Gedefaw, Abebaw, Clement Atzberger, Thomas Bauer, Sayeh Agegnehu, and Reinfried Mansberger. "Analysis of Land Cover Change Detection in Gozamin District, Ethiopia: From Remote Sensing and DPSIR Perspectives." Sustainability 12, no. 11 (June 2, 2020): 4534. http://dx.doi.org/10.3390/su12114534.

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Land cover patterns in sub-Saharan Africa are rapidly changing. This study aims to quantify the land cover change and to identify its major determinants by using the Drivers, Pressures, State, Impact, Responses (DPSIR) framework in the Ethiopian Gozamin District over a period of 32 years (1986 to 2018). Satellite images of Landsat 5 (1986), Landsat 7 (2003), and Sentinel-2 (2018) and a supervised image classification methodology were used to assess the dynamics of land cover change. Land cover maps of the three dates, focus group discussions (FGDs), interviews, and farmers’ lived experiences t

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Nooni, Isaac Kwesi, Daniel Fiifi T. Hagan, Guojie Wang, Waheed Ullah, Shijie Li, Jiao Lu, Asher Samuel Bhatti, et al. "Spatiotemporal Characteristics and Trend Analysis of Two Evapotranspiration-Based Drought Products and Their Mechanisms in Sub-Saharan Africa." Remote Sensing 13, no. 3 (February 2, 2021): 533. http://dx.doi.org/10.3390/rs13030533.

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Drought severity still remains a serious concern across Sub-Saharan Africa (SSA) due to its destructive impact on multiple sectors of society. In this study, the interannual variability and trends in the changes of the self-calibrating Palmer Drought Severity Index (scPDSI) based on the Penman–Monteith (scPDSIPM) and Thornthwaite (scPDSITH) methods for measuring potential evapotranspiration (PET), precipitation (P), normalized difference vegetation index (NDVI), and sea surface temperature (SST) anomalies were investigated through statistical analysis of modeled and remote sensing data. It was

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Enoguanbhor, Evidence Chinedu, Florian Gollnow, Blake Byron Walker, Jonas Ostergaard Nielsen, and Tobia Lakes. "Key Challenges for Land Use Planning and Its Environmental Assessments in the Abuja City-Region, Nigeria." Land 10, no. 5 (April 21, 2021): 443. http://dx.doi.org/10.3390/land10050443.

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Land use planning as strategic instruments to guide urban dynamics faces particular challenges in the Global South, including Sub-Saharan Africa, where urgent interventions are required to improve urban and environmental sustainability. This study investigated and identified key challenges of land use planning and its environmental assessments to improve the urban and environmental sustainability of city-regions. In doing so, we combined expert interviews and questionnaires with spatial analyses of urban and regional land use plans, as well as current and future urban land cover maps derived f

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Kumar, Sanath, Niall Hanan, Lara Prihodko, Julius Anchang, C. Ross, Wenjie Ji, and Brianna Lind. "Alternative Vegetation States in Tropical Forests and Savannas: The Search for Consistent Signals in Diverse Remote Sensing Data." Remote Sensing 11, no. 7 (April 4, 2019): 815. http://dx.doi.org/10.3390/rs11070815.

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Globally, the spatial distribution of vegetation is governed primarily by climatological factors (rainfall and temperature, seasonality, and inter-annual variability). The local distribution of vegetation, however, depends on local edaphic conditions (soils and topography) and disturbances (fire, herbivory, and anthropogenic activities). Abrupt spatial or temporal changes in vegetation distribution can occur if there are positive (i.e., amplifying) feedbacks favoring certain vegetation states under otherwise similar climatic and edaphic conditions. Previous studies in the tropical savannas of

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Andersson Djurfeldt, Agnes, Ola Hall, Aida Isinika, Elibariki Msuya, and Genesis Tambang Yengoh. "Sustainable Agricultural Intensification in Four Tanzanian Villages—A View from the Ground and the Sky." Sustainability 12, no. 20 (October 9, 2020): 8304. http://dx.doi.org/10.3390/su12208304.

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Agricultural intensification based on smallholders is among many economists viewed as a necessary developmental path to ensure food security and poverty reduction in sub-Saharan Africa. Increasingly, a one-sided focus on raising productivity in cereals has been questioned on environmental grounds, with the concept of sustainable agricultural intensification (SAI) emerging from the natural sciences as a way of advancing environmental and social needs simultaneously. SAI approaches have, however, been criticized for being both conceptually and methodologically vague. This study combines socioeco

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Ceccato, Pietro, Christelle Vancutsem, Robert Klaver, James Rowland, and Stephen J. Connor. "A Vectorial Capacity Product to Monitor Changing Malaria Transmission Potential in Epidemic Regions of Africa." Journal of Tropical Medicine 2012 (2012): 1–6. http://dx.doi.org/10.1155/2012/595948.

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Rainfall and temperature are two of the major factors triggering malaria epidemics in warm semi-arid (desert-fringe) and high altitude (highland-fringe) epidemic risk areas. The ability of the mosquitoes to transmitPlasmodiumspp. is dependent upon a series of biological features generally referred to as vectorial capacity. In this study, the vectorial capacity model (VCAP) was expanded to include the influence of rainfall and temperature variables on malaria transmission potential. Data from two remote sensing products were used to monitor rainfall and temperature and were integrated into the

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Simwanda, Matamyo, Yuji Murayama, Darius Phiri, Vincent R. Nyirenda, and Manjula Ranagalage. "Simulating Scenarios of Future Intra-Urban Land-Use Expansion Based on the Neural Network–Markov Model: A Case Study of Lusaka, Zambia." Remote Sensing 13, no. 5 (March 3, 2021): 942. http://dx.doi.org/10.3390/rs13050942.

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Forecasting scenarios of future intra-urban land-use (intra-urban-LU) expansion can help to curb the historically unplanned urbanization in cities in sub-Saharan Africa (SSA) and promote urban sustainability. In this study, we applied the neural network–Markov model to simulate scenarios of future intra-urban-LU expansion in Lusaka city, Zambia. Data derived from remote sensing (RS) and geographic information system (GIS) techniques including urban-LU maps (from 2000, 2005, 2010, and 2015) and selected driver variables, were used to calibrate and validate the model. We then simulated urban-LU

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Mashame, Gofamodimo, and Felicia Akinyemi. "TOWARDS A REMOTE SENSING BASED ASSESSMENT OF LAND SUSCEPTIBILITY TO DEGRADATION: EXAMINING SEASONAL VARIATION IN LAND USE-LAND COVER FOR MODELLING LAND DEGRADATION IN A SEMI-ARID CONTEXT." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-8 (June 7, 2016): 137–44. http://dx.doi.org/10.5194/isprsannals-iii-8-137-2016.

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Land degradation (LD) is among the major environmental and anthropogenic problems driven by land use-land cover (LULC) and climate change worldwide. For example, poor LULC practises such as deforestation, livestock overstocking, overgrazing and arable land use intensification on steep slopes disturbs the soil structure leaving the land susceptible to water erosion, a type of physical land degradation. Land degradation related problems exist in Sub-Saharan African countries such as Botswana which is semi-arid in nature. LULC and LD linkage information is still missing in many semi-arid regions

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Mashame, Gofamodimo, and Felicia Akinyemi. "TOWARDS A REMOTE SENSING BASED ASSESSMENT OF LAND SUSCEPTIBILITY TO DEGRADATION: EXAMINING SEASONAL VARIATION IN LAND USE-LAND COVER FOR MODELLING LAND DEGRADATION IN A SEMI-ARID CONTEXT." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-8 (June 7, 2016): 137–44. http://dx.doi.org/10.5194/isprs-annals-iii-8-137-2016.

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Land degradation (LD) is among the major environmental and anthropogenic problems driven by land use-land cover (LULC) and climate change worldwide. For example, poor LULC practises such as deforestation, livestock overstocking, overgrazing and arable land use intensification on steep slopes disturbs the soil structure leaving the land susceptible to water erosion, a type of physical land degradation. Land degradation related problems exist in Sub-Saharan African countries such as Botswana which is semi-arid in nature. LULC and LD linkage information is still missing in many semi-arid regions

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Andela, Niels, Guido R. van der Werf, Johannes W. Kaiser, Thijs T. van Leeuwen, Martin J. Wooster, and Caroline E. R. Lehmann. "Biomass burning fuel consumption dynamics in the tropics and subtropics assessed from satellite." Biogeosciences 13, no. 12 (June 28, 2016): 3717–34. http://dx.doi.org/10.5194/bg-13-3717-2016.

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Abstract. Landscape fires occur on a large scale in (sub)tropical savannas and grasslands, affecting ecosystem dynamics, regional air quality and concentrations of atmospheric trace gasses. Fuel consumption per unit of area burned is an important but poorly constrained parameter in fire emission modelling. We combined satellite-derived burned area with fire radiative power (FRP) data to derive fuel consumption estimates for land cover types with low tree cover in South America, Sub-Saharan Africa, and Australia. We developed a new approach to estimate fuel consumption, based on FRP data from t

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Ngie, A., S. Tesfamichael, and F. Ahmed. "MONITORING THE IMPACTS OF EL NIÑO ON THE EXTENT OF CULTIVATED FIELDS USING SAR DATA AROUND THE AGRICULTURAL REGION OF THE FREE STATE, SOUTH AFRICA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W2 (November 16, 2017): 151–55. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w2-151-2017.

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There is continuous challenge in crop monitoring from erratic climatic phenomena such as irregular rainfall episodes during required farming seasons or cloud cover. Remote sensing has offered vital support in the monitoring of such scenarios and informs relevant authorities for better decision making. While optical sensors measure the greenness of vegetation to enable monitoring of its status, their usage is constrained by the continuous cloud cover during crop growth seasons in sub Saharan Africa. Synthetic aperture radar data (SAR) are on the other hand capable of penetrating clouds and are

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Karst, Isabel G., Isabel Mank, Issouf Traoré, Raissa Sorgho, Kim-Jana Stückemann, Séraphin Simboro, Ali Sié, Jonas Franke, and Rainer Sauerborn. "Estimating Yields of Household Fields in Rural Subsistence Farming Systems to Study Food Security in Burkina Faso." Remote Sensing 12, no. 11 (May 27, 2020): 1717. http://dx.doi.org/10.3390/rs12111717.

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Climate change has an increasing impact on food security and child nutrition, particularly among rural smallholder farmers in sub-Saharan Africa. Their limited resources and rainfall dependent farming practices make them sensitive to climate change-related effects. Data and research linking yield, human health, and nutrition are scarce but can provide a basis for adaptation and risk management strategies. In support of studies on child undernutrition in Burkina Faso, this study analyzed the potential of remote sensing-based yield estimates at household level. Multi-temporal Sentinel-2 data fro

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Luetkemeier, Robert, and Stefan Liehr. "Household Drought Risk Index (HDRI): Social-Ecological Assessment of Drought Risk in the Cuvelai-Basin." Journal of Natural Resources and Development 8 (July 19, 2018): 46–68. http://dx.doi.org/10.5027/jnrd.v8i0.06.

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Droughts threaten many regions worldwide, in particular semi-arid environments of sub-Saharan Africa such as the Cuvelai-Basin in Angola and Namibia, as the population depends on critical water-related ecosystem services. Since droughts are multi-layered phenomena, risk assessment tools that capture the societal relations to nature and identify those individuals that are most threatened are required. This study presents the integrated Household Drought Risk Index (HDRI) that builds upon empirical data from the study area to provide insights into drought hazard and vulnerability conditions of h

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Van Passel, Johanna, Wanda De Keersmaecker, and Ben Somers. "Monitoring Woody Cover Dynamics in Tropical Dry Forest Ecosystems Using Sentinel-2 Satellite Imagery." Remote Sensing 12, no. 8 (April 17, 2020): 1276. http://dx.doi.org/10.3390/rs12081276.

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Dry forests in Sub-Saharan Africa are of critical importance for the livelihood of the local population given their strong dependence on forest products. Yet these forests are threatened due to rapid population growth and predicted changes in rainfall patterns. As such, large-scale woody cover monitoring of tropical dry forests is urgently required. Although promising, remote sensing-based estimation of woody cover in tropical dry forest ecosystems is challenging due to the heterogeneous woody and herbaceous vegetation structure and the large intra-annual variability in the vegetation due to t

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Marshall, Michael, Michael Norton-Griffiths, Harvey Herr, Richard Lamprey, Justin Sheffield, Tor Vagen, and Joseph Okotto-Okotto. "Continuous and consistent land use/cover change estimates using socio-ecological data." Earth System Dynamics 8, no. 1 (February 8, 2017): 55–73. http://dx.doi.org/10.5194/esd-8-55-2017.

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Abstract. A growing body of research shows the importance of land use/cover change (LULCC) on modifying the Earth system. Land surface models are used to stimulate land–atmosphere dynamics at the macroscale, but model bias and uncertainty remain that need to be addressed before the importance of LULCC is fully realized. In this study, we propose a method of improving LULCC estimates for land surface modeling exercises. The method is driven by projectable socio-ecological geospatial predictors available seamlessly across sub-Saharan Africa and yielded continuous (annual) estimates of LULCC at 5

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Robert, Elodie, Manuela Grippa, Dayangnéwendé Edwige Nikiema, Laurent Kergoat, Hamidou Koudougou, Yves Auda, and Emma Rochelle-Newall. "Environmental determinants of E. coli, link with the diarrheal diseases, and indication of vulnerability criteria in tropical West Africa (Kapore, Burkina Faso)." PLOS Neglected Tropical Diseases 15, no. 8 (August 17, 2021): e0009634. http://dx.doi.org/10.1371/journal.pntd.0009634.

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In 2017, diarrheal diseases were responsible for 606 024 deaths in Sub-Saharan Africa. This situation is due to domestic and recreational use of polluted surface waters, deficits in hygiene, access to healthcare and drinking water, and to weak environmental and health monitoring infrastructures. Escherichia coli (E. coli) is an indicator for the enteric pathogens that cause many diarrheal diseases. The links between E. coli, diarrheal diseases and environmental parameters have not received much attention in West Africa, and few studies have assessed health risks by taking into account hazards

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Popp, C., P. Wang, D. Brunner, P. Stammes, Y. Zhou, and M. Grzegorski. "MERIS albedo climatology for FRESCO+ O<sub>2</sub> A-band cloud retrieval." Atmospheric Measurement Techniques Discussions 3, no. 5 (October 27, 2010): 4603–44. http://dx.doi.org/10.5194/amtd-3-4603-2010.

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Abstract. A new global albedo climatology for Oxygen A-band cloud retrievals is presented. The climatology is based on MEdium Resolution Imaging Spectrometer (MERIS) Albedomap data and its favourable impact on the derivation of cloud fraction is demonstrated for the FRESCO+ (Fast Retrieval Scheme for Clouds from the Oxygen A-band) algorithm. To date, a relatively coarse resolution (1° × 1°) surface reflectance dataset from GOME (Global Ozone Monitoring Experiment) Lambert-equivalent reflectivity (LER) is used in FRESCO+. The GOME LER climatology does not account for the usually higher spatial

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Popp, C., P. Wang, D. Brunner, P. Stammes, Y. Zhou, and M. Grzegorski. "MERIS albedo climatology for FRESCO+ O<sub>2</sub> A-band cloud retrieval." Atmospheric Measurement Techniques 4, no. 3 (March 8, 2011): 463–83. http://dx.doi.org/10.5194/amt-4-463-2011.

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Abstract. A new global albedo climatology for Oxygen A-band cloud retrievals is presented. The climatology is based on MEdium Resolution Imaging Spectrometer (MERIS) Albedomap data and its favourable impact on the derivation of cloud fraction is demonstrated for the FRESCO+ (Fast Retrieval Scheme for Clouds from the Oxygen A-band) algorithm. To date, a relatively coarse resolution (1° × 1°) surface reflectance dataset from GOME (Global Ozone Monitoring Experiment) Lambert-equivalent reflectivity (LER) is used in FRESCO+. The GOME LER climatology does not account for the usually higher spatial

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Thamaga, Kgabo Humphrey, Timothy Dube, and Cletah Shoko. "Advances in satellite remote sensing of the wetland ecosystems in Sub-Saharan Africa." Geocarto International, June 3, 2021, 1–23. http://dx.doi.org/10.1080/10106049.2021.1926552.

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Krüger, Kerstin, and Jacquie E. van der Waals. "Potato virus Y and Potato leafroll virus management under climate change in sub-Saharan Africa." South African Journal of Science 116, no. 11/12 (November 26, 2020). http://dx.doi.org/10.17159/sajs.2020/8579.

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Potato has increased in importance as a staple food in sub-Saharan Africa, where its production is faced with a multitude of challenges, including plant disease development and spread under changing climatic conditions. The economically most important plant viruses affecting potatoes globally are Potato virus Y (PVY) and Potato leafroll virus (PLRV). Disease management relies mostly on the use of insecticides, cultural control and seed certification schemes. A major obstacle in many sub-Saharan Africa countries is the availability of disease-free quality seed potatoes. Establishment and implem

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Walz, Yvonne, Martin Wegmann, Benjamin Leutner, Stefan Dech, Penelope Vounatsou, Eliézer K. N'Goran, Giovanna Raso, and Jürg Utzinger. "Use of an ecologically relevant modelling approach to improve remote sensing-based schistosomiasis risk profiling." Geospatial Health 10, no. 2 (November 30, 2015). http://dx.doi.org/10.4081/gh.2015.398.

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Schistosomiasis is a widespread water-based disease that puts close to 800 million people at risk of infection with more than 250 million infected, mainly in sub-Saharan Africa. Transmission is governed by the spatial distribution of specific freshwater snails that act as intermediate hosts and the frequency, duration and extent of human bodies exposed to infested water sources during human water contact. Remote sensing data have been utilized for spatially explicit risk profiling of schistosomiasis. Since schistosomiasis risk profiling based on remote sensing data inherits a conceptual drawba

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Rushingabigwi, G., W. Kalisa, P. Nsengiyumva, F. Zimulinda, D. Mukanyiligira, and L. Sibomana. "Analysis of Effects of Selected Aerosol Particles to the Global Climate Change and Health using Remote Sensing data: The Focus on Africa." Rwanda Journal of Engineering, Science, Technology and Environment 3, no. 1 (July 10, 2020). http://dx.doi.org/10.4314/rjeste.v3i1.5s.

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The desert's dust and anthropogenic biomass burning's black carbon (BC) in the tropical regions are associated with many effects on climate and air quality. The dust and BC are the selected aerosols, which affect health by polluting the breathable air. This research discusses the effects of both the aerosols, especially while they interact with the clouds. The respective aerosol extinction optical thickness (AOT) extinction was analysed with the sensible heat from Turbulence. The research purposes to quantitatively study the remote sensing data for fine particulate matter, PM2.5, heterogeneous

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