Extraction automatique d’habitations en milieu rural de PED à partir de données THRS

Devaux, Nicolas; Fotsing, Jean-Marie; Chéry, Jean-Pierre

doi:10.4000/cybergeo.12581

Cited by 5 publications

(3 citation statements)

References 7 publications

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“…They are located primarily in Saharan Africa. In many cases, this happens because the articles present a methodology which uses aerial and satellite images to substitute missing socioeconomic data (Ackermann et al, 2003;Devaux et al, 2007).…”

Section: Internal Semantic Network (Abstract)mentioning

confidence: 99%

Empowering open science with reflexive and spatialised indicators

Raimbault¹,

Chasset

Cottineau

et al. 2019

Environment and Planning B: Urban Analytics and City Science

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Bibliometrics have become commonplace and widely used by authors and journals to monitor, to evaluate and to identify their readership in an ever-increasingly publishing scientific world. With this contribution, we aim to investigate the semantic proximities and evolution of the papers published in the online journal Cybergeo since its creation in 1996. We propose a dedicated interactive application that compares three strategies for building semantic networks, using keywords (self-declared themes), citations (areas of research using the papers published in Cybergeo) and full-texts (themes derived from the words used in writing). We interpret these networks and semantic proximities with respect to their temporal evolution as well as to their spatial expressions, by considering the countries studied in the papers under inquiry (Cybergeo being a journal of geography, most articles refer to a well-defined spatial envelope). Finally, we compare the three methods and conclude that their complementarity can help go beyond simple statistics to better understand the epistemological evolution of a scientific community and the readership target of the journal.

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Section: Internal Semantic Network (Abstract)mentioning

confidence: 99%

Empowering open science with reflexive and spatialised indicators

Raimbault¹,

Chasset

Cottineau

et al. 2019

Environment and Planning B: Urban Analytics and City Science

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“…Other methods have been developed for specific building types. To illustrate, Devaux et al (2005) are interested in African huts in rural areas. Huts are circular and smaller than 20 m 2 .…”

Section: Other Approachesmentioning

confidence: 99%

A new approach to building identification from very‐high‐spatial‐resolution images

Lhomme

Weber

et al. 2009

International Journal of Remote Sensing

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The extent and rapidity of the urban growth induce a number of socio-economic and environmental conflicts everywhere. In order to reduce these problems, urban planners need to integrate spatial information in planning tools. High expectations are placed on very-high-spatial-resolution (VHSR) imagery. However, conventional interpretation methods do not seem to be adapted to this new type of images. The aim of our study is to develop a new approach for semi-automatic building identification, more specifically to individual housing, from VHSR images. The proposed methodology has been applied to Ikonos and Quickbird images in urban areas. Results show the capacity of our method for building identification, in spite of some limitations.

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“…Indeed according to study conducted by Mayer (1999) and Yen et al (2008), a building in urban zone in Africa has an average area of 100 m 2 . The area defined in this study allows accurate detection (which approximates the realities of our study area), knowing that a household can have several compounds and this especially in polygamous households (Devaux et al, 2007). So in this context, a grid in this study corresponds to a household.…”

Section: Sampling Strategymentioning

confidence: 99%

Beef consumption and consumers knowledge on meat quality in Maroua in the Far North of Cameroon

Vougat¹,

Chouto²,

Foyet³

et al. 2016

Afr. J. Food Sci.

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The objective of this study was to determine beef consumption and evaluate the knowledge of consumers on meat quality in Maroua city in the Far North Region of Cameroon. To achieve this, 202 households selected using a gripped map and random selection method were surveyed. The cookers or cooks were surveyed and observed in each household. During this survey, the pieces of beef, as cuts before cooking, were weighted and the quantity of beef consumed per person was calculated. The influence of socio economic and demographic factors related to consumer (religion, age, monthly income, number of person in the household and district) on beef consumption was also evaluated. Overall, 96% of the surveyed households consumed meat and among them, 98% eat beef. Beef is consumed the most (72%), followed by goat (21%), sheep (5%), chicken (1%) and pork (1%). In majority of the beef-eating households (39%), cattle meat was eaten two or three times per week. In addition, a person consumed 133.25 ± 33.49 g of beef per day and this consumption rate was affected by the age, monthly income and the district position. During the evaluation of consumer's knowledge on meat quality, color and tenderness were found to be the most important factors for consumers. These findings suggest that meat consumption in the livestock production area in Cameroon is very important as it is higher than that observed in the whole Cameroon and in Africa. Thus Cameroonian government should focus on improving meat consumption in consumption zones.

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Extraction automatique d’habitations en milieu rural de PED à partir de données THRS

Cited by 5 publications

References 7 publications

Empowering open science with reflexive and spatialised indicators

Empowering open science with reflexive and spatialised indicators

A new approach to building identification from very‐high‐spatial‐resolution images

Beef consumption and consumers knowledge on meat quality in Maroua in the Far North of Cameroon

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